{
 "nbformat": 4,
 "nbformat_minor": 5,
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.12"
  },
  "colab": {
   "provenance": [],
   "gpuType": "T4"
  },
  "accelerator": "GPU",
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "version_major": 2,
    "version_minor": 0,
    "state": {
     "80185e0ff83648bb940f271987ac9796": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e50c458feb3149e89c26646dbf119bc6",
        "IPY_MODEL_dc3322c707a94a3abd0b6fbc09582f8a",
        "IPY_MODEL_4c5e0cf15427460490e41de1490128f7"
       ],
       "layout": "IPY_MODEL_db00308ed5d746cab7eb952936284775"
      }
     },
     "e50c458feb3149e89c26646dbf119bc6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_aab1f192342a4074b002fa19b0f627ce",
       "placeholder": "​",
       "style": "IPY_MODEL_13ab76b00fa8465f83aa0e9187ed15ac",
       "value": "Download train: 100%"
      }
     },
     "dc3322c707a94a3abd0b6fbc09582f8a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_45f4fe5747954720a0d446062499e271",
       "max": 903731317,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_a501c5f7fba643898790b1e500019c4b",
       "value": 903731317
      }
     },
     "4c5e0cf15427460490e41de1490128f7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3aac40864ca54a04b9a173a3b8bc28ff",
       "placeholder": "​",
       "style": "IPY_MODEL_8ce489650c6b44369594c5123418e87c",
       "value": " 904M/904M [00:09&lt;00:00, 74.5MB/s]"
      }
     },
     "db00308ed5d746cab7eb952936284775": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "aab1f192342a4074b002fa19b0f627ce": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "13ab76b00fa8465f83aa0e9187ed15ac": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "45f4fe5747954720a0d446062499e271": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a501c5f7fba643898790b1e500019c4b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "3aac40864ca54a04b9a173a3b8bc28ff": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8ce489650c6b44369594c5123418e87c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "9dba611aa0a147a99113a07415ec9570": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_fe49f22d87bd4033b1e985dd86f0e537",
        "IPY_MODEL_7a652fe373a74a378bef12e8078b4caf",
        "IPY_MODEL_529266eb4fb142c9a9668f2dae287bd1"
       ],
       "layout": "IPY_MODEL_5fcaf10a2a684388b26992ca7533de61"
      }
     },
     "fe49f22d87bd4033b1e985dd86f0e537": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2423ebb446e24ab286eb3bc14e999d2a",
       "placeholder": "​",
       "style": "IPY_MODEL_c8212f56e3ae4dd1ad9007c41b50ca71",
       "value": "Download valid: 100%"
      }
     },
     "7a652fe373a74a378bef12e8078b4caf": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b922c21696254fa9bb0f1e758b71cc57",
       "max": 1125517514,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_da0b39fff513480095cfe4a768b85df1",
       "value": 1125517514
      }
     },
     "529266eb4fb142c9a9668f2dae287bd1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_bf34797e85d049ccb9f244097ebd97d6",
       "placeholder": "​",
       "style": "IPY_MODEL_2256f453caab4ea482adf758b1d49456",
       "value": " 1.13G/1.13G [00:11&lt;00:00, 173MB/s]"
      }
     },
     "5fcaf10a2a684388b26992ca7533de61": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2423ebb446e24ab286eb3bc14e999d2a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c8212f56e3ae4dd1ad9007c41b50ca71": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b922c21696254fa9bb0f1e758b71cc57": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "da0b39fff513480095cfe4a768b85df1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "bf34797e85d049ccb9f244097ebd97d6": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2256f453caab4ea482adf758b1d49456": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "89d7c668b8f64395ade4ea7f2e228ef5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_00c0d41162c342ee831c137a922140ba",
        "IPY_MODEL_3d4a48bd51f640558648f48c23280507",
        "IPY_MODEL_26b4ceecf1434782812a3e1ecf214c44"
       ],
       "layout": "IPY_MODEL_4354d473fa394a8d9d092701795a5ca0"
      }
     },
     "00c0d41162c342ee831c137a922140ba": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f1ccb8d8bdf14a03a1e3f9744a8563ae",
       "placeholder": "​",
       "style": "IPY_MODEL_d9be2b5cdf0643b991c6670273ebf0d4",
       "value": "Download test: 100%"
      }
     },
     "3d4a48bd51f640558648f48c23280507": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_073c53e97f41464e9a48447666c1d4b1",
       "max": 245068886,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_02c807a9026144efac2fb17c7485c664",
       "value": 245068886
      }
     },
     "26b4ceecf1434782812a3e1ecf214c44": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_77b39bf8dcb5486d99025e6a0f1413aa",
       "placeholder": "​",
       "style": "IPY_MODEL_42aabb366ed44b01aebbbe374512a058",
       "value": " 245M/245M [00:02&lt;00:00, 160MB/s]"
      }
     },
     "4354d473fa394a8d9d092701795a5ca0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f1ccb8d8bdf14a03a1e3f9744a8563ae": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d9be2b5cdf0643b991c6670273ebf0d4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "073c53e97f41464e9a48447666c1d4b1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "02c807a9026144efac2fb17c7485c664": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "77b39bf8dcb5486d99025e6a0f1413aa": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "42aabb366ed44b01aebbbe374512a058": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "475ec5b2e9104c9087445aa7dfba03b0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_72cc6e28217a4081856dfad6e8a30f7e",
        "IPY_MODEL_124f5a62fde848f092ef943b7c5a194d",
        "IPY_MODEL_73939147f55b41a1927e890bce25ded1"
       ],
       "layout": "IPY_MODEL_38d7dd2a8a9f4d36a039bd8699fc0e9f"
      }
     },
     "72cc6e28217a4081856dfad6e8a30f7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9435a401bdf24e369b8fb932e0f773fd",
       "placeholder": "​",
       "style": "IPY_MODEL_a9ca28a227de451e88f3f38decf58a24",
       "value": "Crop train: 100%"
      }
     },
     "124f5a62fde848f092ef943b7c5a194d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c697986385ef4d6ebb5d573a2d41b1c2",
       "max": 12,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_d0b1ac5e62cd4cbb94d39b76c186a79d",
       "value": 12
      }
     },
     "73939147f55b41a1927e890bce25ded1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4a27b85496534a839cb89c4448dc366d",
       "placeholder": "​",
       "style": "IPY_MODEL_839f8780ee2747679c6a59e06f92df67",
       "value": " 12/12 [00:01&lt;00:00,  7.84it/s]"
      }
     },
     "38d7dd2a8a9f4d36a039bd8699fc0e9f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9435a401bdf24e369b8fb932e0f773fd": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a9ca28a227de451e88f3f38decf58a24": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "c697986385ef4d6ebb5d573a2d41b1c2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d0b1ac5e62cd4cbb94d39b76c186a79d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "4a27b85496534a839cb89c4448dc366d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "839f8780ee2747679c6a59e06f92df67": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "e66346cc9d18414e830b6d47a136c327": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_9bd0014fdbc045069f3aac7851624b7e",
        "IPY_MODEL_7fc3a060c7474bb4803bae7c301bd493",
        "IPY_MODEL_9ba8c4ebceeb420ba2cc0e66e893acac"
       ],
       "layout": "IPY_MODEL_195b175f122142a0a73480789c8c9b06"
      }
     },
     "9bd0014fdbc045069f3aac7851624b7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f2acf9c83f7645efa0a503f6db16dcc2",
       "placeholder": "​",
       "style": "IPY_MODEL_561940ab3790457f991ff8bf926f00df",
       "value": "Crop valid: 100%"
      }
     },
     "7fc3a060c7474bb4803bae7c301bd493": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_aac722b51572459a8e84b64858c1d0ac",
       "max": 1226,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_b2cf6d2d9c3446e9b1176019cfb6cd23",
       "value": 1226
      }
     },
     "9ba8c4ebceeb420ba2cc0e66e893acac": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_0c4620af15b44f458c7ae50391a99b07",
       "placeholder": "​",
       "style": "IPY_MODEL_215e18ec0b20431f9ec9fdeda14700ff",
       "value": " 1226/1226 [01:48&lt;00:00, 13.42it/s]"
      }
     },
     "195b175f122142a0a73480789c8c9b06": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f2acf9c83f7645efa0a503f6db16dcc2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "561940ab3790457f991ff8bf926f00df": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "aac722b51572459a8e84b64858c1d0ac": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b2cf6d2d9c3446e9b1176019cfb6cd23": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "0c4620af15b44f458c7ae50391a99b07": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "215e18ec0b20431f9ec9fdeda14700ff": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "296d20bb5e4d46b29811ab22668fefa7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_4553df15be12451dbf0211c8cbdb5499",
        "IPY_MODEL_e3dfddbb841e43b19eba5b7a55b16e64",
        "IPY_MODEL_2e0ce6ee02e94b8693a4bf6fcc09d529"
       ],
       "layout": "IPY_MODEL_f7b4ba6284a8404d8a332f16bd166e0d"
      }
     },
     "4553df15be12451dbf0211c8cbdb5499": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_d551b2d3a4c5460a98c9d494e8a21a46",
       "placeholder": "​",
       "style": "IPY_MODEL_b906e743ac854d69a3a7639ff90728b9",
       "value": "Crop test: 100%"
      }
     },
     "e3dfddbb841e43b19eba5b7a55b16e64": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_05e6e46d9c9f44ee9419512a6ecf19b9",
       "max": 91,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_70669e6c786e43dabcae186fc5d58403",
       "value": 91
      }
     },
     "2e0ce6ee02e94b8693a4bf6fcc09d529": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9e0e250770464afdbd62812cfc345ec5",
       "placeholder": "​",
       "style": "IPY_MODEL_5d300733a1ae42e4918822e7ae7857cf",
       "value": " 91/91 [00:07&lt;00:00, 12.81it/s]"
      }
     },
     "f7b4ba6284a8404d8a332f16bd166e0d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d551b2d3a4c5460a98c9d494e8a21a46": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b906e743ac854d69a3a7639ff90728b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "05e6e46d9c9f44ee9419512a6ecf19b9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "70669e6c786e43dabcae186fc5d58403": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9e0e250770464afdbd62812cfc345ec5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5d300733a1ae42e4918822e7ae7857cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "0e8b2a27fdd24d01b5589fa593202e5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_923d2a2b631241f4b6235e1c1060dbb7",
        "IPY_MODEL_698e36fed774482fbaac14650ea72dd8",
        "IPY_MODEL_a094b62848c64ca6919096a4315e3ccc"
       ],
       "layout": "IPY_MODEL_8215a700ac874805aa26a20a9653bcfd"
      }
     },
     "923d2a2b631241f4b6235e1c1060dbb7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8eca739f492e416694be3b9110129b53",
       "placeholder": "​",
       "style": "IPY_MODEL_1f6df97c07e94143ad0a9ae90bd12ef5",
       "value": "Hash crop pixels: 100%"
      }
     },
     "698e36fed774482fbaac14650ea72dd8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_599a6b19bf6e45119dc28fc1b33021ea",
       "max": 1846,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_478b0578c6ae4a9f8c6f94b94073f07a",
       "value": 1846
      }
     },
     "a094b62848c64ca6919096a4315e3ccc": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_73568c82ef97455088a88180f788865d",
       "placeholder": "​",
       "style": "IPY_MODEL_ba9749b6b0b34c22987557435d4731d4",
       "value": " 1846/1846 [00:02&lt;00:00, 737.08it/s]"
      }
     },
     "8215a700ac874805aa26a20a9653bcfd": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8eca739f492e416694be3b9110129b53": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1f6df97c07e94143ad0a9ae90bd12ef5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "599a6b19bf6e45119dc28fc1b33021ea": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "478b0578c6ae4a9f8c6f94b94073f07a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "73568c82ef97455088a88180f788865d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ba9749b6b0b34c22987557435d4731d4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5e0266327d7245ab9f5376149f37b439": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_f136aec4cac045e3b9b48080fdf92447",
        "IPY_MODEL_f5cdb232b3844aef9db74f4c55dd391b",
        "IPY_MODEL_d65a1d7bbc7b482e9e5799cdaa0b1653"
       ],
       "layout": "IPY_MODEL_70a06b5c056142f28b72853c0031becf"
      }
     },
     "f136aec4cac045e3b9b48080fdf92447": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_97e623480bcd4dbfbfcdc49532165a9e",
       "placeholder": "​",
       "style": "IPY_MODEL_22f235b282784893b76c0d89d1283496",
       "value": "mask/resnet50 epoch 1/20: 100%"
      }
     },
     "f5cdb232b3844aef9db74f4c55dd391b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5e4cb8d171124b40b846045dd9b0a80e",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_05c2bf0eceba41c2b417444af6a3ba56",
       "value": 30
      }
     },
     "d65a1d7bbc7b482e9e5799cdaa0b1653": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_583cc2968347488d9a4694fc1d520ad4",
       "placeholder": "​",
       "style": "IPY_MODEL_f1132658520a4e9f970e22f66d8aef7b",
       "value": " 30/30 [00:07&lt;00:00,  7.48it/s, loss=0.078]"
      }
     },
     "70a06b5c056142f28b72853c0031becf": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "97e623480bcd4dbfbfcdc49532165a9e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "22f235b282784893b76c0d89d1283496": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5e4cb8d171124b40b846045dd9b0a80e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "05c2bf0eceba41c2b417444af6a3ba56": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "583cc2968347488d9a4694fc1d520ad4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f1132658520a4e9f970e22f66d8aef7b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "29f59f44e62e4080a60a7aca1b18c50d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_b6f4faa52e884102a805eb3cf97278ef",
        "IPY_MODEL_570582a4034c4f90b3346649e1496d4f",
        "IPY_MODEL_5738d42bab23460b8b6e069b48011ceb"
       ],
       "layout": "IPY_MODEL_e429e3b1a5884c81aea81a5338dd0246"
      }
     },
     "b6f4faa52e884102a805eb3cf97278ef": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_01993f56a1d44aadacdd515566834f37",
       "placeholder": "​",
       "style": "IPY_MODEL_bd8a9d86a69e4766a07414906df40303",
       "value": "mask/resnet50 epoch 2/20:  97%"
      }
     },
     "570582a4034c4f90b3346649e1496d4f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_7034eaef82da4650a30bf960f1f4016e",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_79571b755e2643ca8f4c4f73585b0ba7",
       "value": 30
      }
     },
     "5738d42bab23460b8b6e069b48011ceb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2c991079140b4a0d96f3b552fac89245",
       "placeholder": "​",
       "style": "IPY_MODEL_ebab595ada954a9aafb254fb4433c904",
       "value": " 29/30 [00:03&lt;00:00,  9.15it/s, loss=0.046]"
      }
     },
     "e429e3b1a5884c81aea81a5338dd0246": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "01993f56a1d44aadacdd515566834f37": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bd8a9d86a69e4766a07414906df40303": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "7034eaef82da4650a30bf960f1f4016e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "79571b755e2643ca8f4c4f73585b0ba7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "2c991079140b4a0d96f3b552fac89245": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ebab595ada954a9aafb254fb4433c904": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "62e6d41589c84459a98e60492f77654f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_2f9104cf3b7a4c90b32555cd17569173",
        "IPY_MODEL_a881418cc50a4df0b9a004cb33b19242",
        "IPY_MODEL_7f71a8625f1f4a2ca3a4ee57138373f1"
       ],
       "layout": "IPY_MODEL_ad2b6a42c765417b8dbf3730aafd43b2"
      }
     },
     "2f9104cf3b7a4c90b32555cd17569173": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9aceb36257e04ffbae8bc37ac9d4c045",
       "placeholder": "​",
       "style": "IPY_MODEL_3adb0aa7a282415d8ea8f29d243e419c",
       "value": "mask/resnet50 epoch 3/20: 100%"
      }
     },
     "a881418cc50a4df0b9a004cb33b19242": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_07ab6af2f49e4d6f9933a3e84df2aedf",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_8ed39d24e3bc41d89b2ececf94641e79",
       "value": 30
      }
     },
     "7f71a8625f1f4a2ca3a4ee57138373f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1718151c46154060ad84e35579514f8a",
       "placeholder": "​",
       "style": "IPY_MODEL_30f5809e10b9413ca48caeb110a874b4",
       "value": " 30/30 [00:05&lt;00:00,  3.68it/s, loss=0.013]"
      }
     },
     "ad2b6a42c765417b8dbf3730aafd43b2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "9aceb36257e04ffbae8bc37ac9d4c045": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3adb0aa7a282415d8ea8f29d243e419c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "07ab6af2f49e4d6f9933a3e84df2aedf": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8ed39d24e3bc41d89b2ececf94641e79": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "1718151c46154060ad84e35579514f8a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "30f5809e10b9413ca48caeb110a874b4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "9f77932b96ec4897ba7dfba6365477cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_edbc23493c5e4a3b967cb0b897ec7197",
        "IPY_MODEL_f112e01b5dcd4a69ae85691846d57cd9",
        "IPY_MODEL_22b00785e51d4e50a93fd93b043997bc"
       ],
       "layout": "IPY_MODEL_6d089e8456674015a1883986b3154a29"
      }
     },
     "edbc23493c5e4a3b967cb0b897ec7197": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ecc53b7a2691403686f134dbe44b080e",
       "placeholder": "​",
       "style": "IPY_MODEL_a421c778e3f94d8ab3cc3bc5cfc4e2e0",
       "value": "mask/resnet50 epoch 4/20:  97%"
      }
     },
     "f112e01b5dcd4a69ae85691846d57cd9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9435ffcaceb64714b72c1c395b8922ff",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_0290ef0b7e4d4787a82c230de47b3a01",
       "value": 30
      }
     },
     "22b00785e51d4e50a93fd93b043997bc": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_50281e532f2e465286d3057f86b951fd",
       "placeholder": "​",
       "style": "IPY_MODEL_dad24d3fbb3c4acb887aad45db657980",
       "value": " 29/30 [00:04&lt;00:00,  6.67it/s, loss=0.001]"
      }
     },
     "6d089e8456674015a1883986b3154a29": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "ecc53b7a2691403686f134dbe44b080e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a421c778e3f94d8ab3cc3bc5cfc4e2e0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "9435ffcaceb64714b72c1c395b8922ff": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0290ef0b7e4d4787a82c230de47b3a01": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "50281e532f2e465286d3057f86b951fd": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "dad24d3fbb3c4acb887aad45db657980": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "00460dcb686a463ab45d297b5e2ab87d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_f66f26fa1fda4ef0ae6bbbb975904988",
        "IPY_MODEL_0a7425cdf0524ab6a24a2bc3532fe2d0",
        "IPY_MODEL_8c94c8df536a46a29ad55d180a423cc3"
       ],
       "layout": "IPY_MODEL_e653aaa15219460284cf5a9b0e3fe2bc"
      }
     },
     "f66f26fa1fda4ef0ae6bbbb975904988": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3a4f6682619e49ecbfb06e5e6c1e8bfb",
       "placeholder": "​",
       "style": "IPY_MODEL_62d8a623189d403d836dd4394295c6ba",
       "value": "mask/resnet50 epoch 5/20: 100%"
      }
     },
     "0a7425cdf0524ab6a24a2bc3532fe2d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5e8006d21a2a42729d9dfe9f027a65e8",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_76e1e26266ae4db8ae9c8cb7e24cbb3f",
       "value": 30
      }
     },
     "8c94c8df536a46a29ad55d180a423cc3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_d10eaf4286b54f6f9883622cc3240df2",
       "placeholder": "​",
       "style": "IPY_MODEL_889f342f67b94e30a317275a986bb2a4",
       "value": " 30/30 [00:05&lt;00:00,  5.89it/s, loss=0.000]"
      }
     },
     "e653aaa15219460284cf5a9b0e3fe2bc": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "3a4f6682619e49ecbfb06e5e6c1e8bfb": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "62d8a623189d403d836dd4394295c6ba": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5e8006d21a2a42729d9dfe9f027a65e8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "76e1e26266ae4db8ae9c8cb7e24cbb3f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "d10eaf4286b54f6f9883622cc3240df2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "889f342f67b94e30a317275a986bb2a4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "279d8f19d51d402e8fbcaba971389bdf": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_f51e435df3c74dc7afa014aa5e5f82b8",
        "IPY_MODEL_6a5773ad4b014b31833d45f797575964",
        "IPY_MODEL_bcbbd73514ca4ccab49da56abb0412ad"
       ],
       "layout": "IPY_MODEL_027fea2cfb6d42d2885c83b76c77b68a"
      }
     },
     "f51e435df3c74dc7afa014aa5e5f82b8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e6b30ab5293746fba948af4bee294155",
       "placeholder": "​",
       "style": "IPY_MODEL_f75af6b30bd7413b8ae14d60e614a833",
       "value": "mask/resnet50 epoch 6/20:  97%"
      }
     },
     "6a5773ad4b014b31833d45f797575964": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ac2f5d20e8544ab2bb0180473c9d3809",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_07ca3fa1482c444489eae6d3a5747e92",
       "value": 30
      }
     },
     "bcbbd73514ca4ccab49da56abb0412ad": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9575c3cb661a44a7908b15d590ebbb44",
       "placeholder": "​",
       "style": "IPY_MODEL_a2bb6e3946904a8f895b2c79667ba66e",
       "value": " 29/30 [00:04&lt;00:00,  6.76it/s, loss=0.000]"
      }
     },
     "027fea2cfb6d42d2885c83b76c77b68a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "e6b30ab5293746fba948af4bee294155": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f75af6b30bd7413b8ae14d60e614a833": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ac2f5d20e8544ab2bb0180473c9d3809": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "07ca3fa1482c444489eae6d3a5747e92": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9575c3cb661a44a7908b15d590ebbb44": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a2bb6e3946904a8f895b2c79667ba66e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "37c64e22b6df402c930d7a5599192233": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_d7722cb0b0674a70950a1dfb86dafe03",
        "IPY_MODEL_ad45b940692d43c2bef32a62410b207a",
        "IPY_MODEL_83a05b6db6734deca311bf6a837fd1b5"
       ],
       "layout": "IPY_MODEL_56eb5210380c48659e740acb5e7a2ea2"
      }
     },
     "d7722cb0b0674a70950a1dfb86dafe03": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ce5fb3c17e184c6d97efa54cac64b8b6",
       "placeholder": "​",
       "style": "IPY_MODEL_999845a01aec4907af5e3a3bf54f744c",
       "value": "mask/resnet50 epoch 7/20:  97%"
      }
     },
     "ad45b940692d43c2bef32a62410b207a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2fce009e47d741cf9898ec17e9c1ed70",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_4dc58113621a4434a5f81c610e103cb1",
       "value": 30
      }
     },
     "83a05b6db6734deca311bf6a837fd1b5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_18da49f6dea445c4aed384020f56b82f",
       "placeholder": "​",
       "style": "IPY_MODEL_261bd226115d44419d74ddda9796444a",
       "value": " 29/30 [00:05&lt;00:00,  6.20it/s, loss=0.000]"
      }
     },
     "56eb5210380c48659e740acb5e7a2ea2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "ce5fb3c17e184c6d97efa54cac64b8b6": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "999845a01aec4907af5e3a3bf54f744c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "2fce009e47d741cf9898ec17e9c1ed70": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4dc58113621a4434a5f81c610e103cb1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "18da49f6dea445c4aed384020f56b82f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "261bd226115d44419d74ddda9796444a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "0b3fb9b0292744c5b45c4a9150b6d1a4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_d16ec724406740eeb1ff5e9bb71b9633",
        "IPY_MODEL_e163d56d1e8143bc8e3cba1097c5a194",
        "IPY_MODEL_61bb6e2d45c944859d59dbf3277b21fb"
       ],
       "layout": "IPY_MODEL_1cc0e11ca31b4306a1cdc8e227f2c743"
      }
     },
     "d16ec724406740eeb1ff5e9bb71b9633": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_594b2e76ef2d4264bb736eebb0edf50c",
       "placeholder": "​",
       "style": "IPY_MODEL_e5d8be5e0818481d8f27493b1b000796",
       "value": "mask/resnet50 epoch 8/20: 100%"
      }
     },
     "e163d56d1e8143bc8e3cba1097c5a194": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4bd2639aca0648a5b00b0c153185ccaa",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_b4bed4ba3c9f47239560796c4edd7e8b",
       "value": 30
      }
     },
     "61bb6e2d45c944859d59dbf3277b21fb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f55b43ab91bd4ea6b864de8c3ddd5151",
       "placeholder": "​",
       "style": "IPY_MODEL_a28e9d544640486a8693fa98431bf6fd",
       "value": " 30/30 [00:07&lt;00:00,  5.51it/s, loss=0.000]"
      }
     },
     "1cc0e11ca31b4306a1cdc8e227f2c743": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "594b2e76ef2d4264bb736eebb0edf50c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e5d8be5e0818481d8f27493b1b000796": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "4bd2639aca0648a5b00b0c153185ccaa": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b4bed4ba3c9f47239560796c4edd7e8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "f55b43ab91bd4ea6b864de8c3ddd5151": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a28e9d544640486a8693fa98431bf6fd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "259336a9a6ae41a1b8b811a2e4435707": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_b65d1fbdb32e464998044df8ea7eaf75",
        "IPY_MODEL_d8fca84fe3d54e05ad7a4b4dbaac39f6",
        "IPY_MODEL_77612580678c45689a6198b6b2137ce0"
       ],
       "layout": "IPY_MODEL_6a2f43004f79436a847edebd2a85e1ec"
      }
     },
     "b65d1fbdb32e464998044df8ea7eaf75": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_462493cb68f7499ca196f7a9129bae80",
       "placeholder": "​",
       "style": "IPY_MODEL_714570becb954c1482c0091f95cea77d",
       "value": "mask/resnet50 epoch 9/20: 100%"
      }
     },
     "d8fca84fe3d54e05ad7a4b4dbaac39f6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b311903591da4ac6a89346702ce2c3e4",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_8e346b0284164dce8bd06a3d17d3883c",
       "value": 30
      }
     },
     "77612580678c45689a6198b6b2137ce0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_576c85f577634771968b9fa6998ec7e8",
       "placeholder": "​",
       "style": "IPY_MODEL_a3cba858410940e89cf051acfa8236ca",
       "value": " 30/30 [00:05&lt;00:00,  5.53it/s, loss=0.000]"
      }
     },
     "6a2f43004f79436a847edebd2a85e1ec": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "462493cb68f7499ca196f7a9129bae80": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "714570becb954c1482c0091f95cea77d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b311903591da4ac6a89346702ce2c3e4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8e346b0284164dce8bd06a3d17d3883c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "576c85f577634771968b9fa6998ec7e8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a3cba858410940e89cf051acfa8236ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d5e3210bac1149ff8cd427c1f49e8720": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_dc0d0ba83a6a48e58307e9cc98fe17d0",
        "IPY_MODEL_ae9213b589f24144a68423d7d1f78b5d",
        "IPY_MODEL_73dc1032c777464283239ffab4ecc733"
       ],
       "layout": "IPY_MODEL_f296543c940144738e96e0450186ed49"
      }
     },
     "dc0d0ba83a6a48e58307e9cc98fe17d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b0c1cc9b19ff4e8e86634affd84e2491",
       "placeholder": "​",
       "style": "IPY_MODEL_309c3a459b654c39806e62e135a43ef4",
       "value": "mask/efficientnet_b0 epoch 1/20:  97%"
      }
     },
     "ae9213b589f24144a68423d7d1f78b5d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_358d65b44b614cf3bd39365430c5d5c5",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_367b61564dc649f3bf147c99ff580577",
       "value": 30
      }
     },
     "73dc1032c777464283239ffab4ecc733": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_27eec6baa09f4733b7e4a7d62d21392b",
       "placeholder": "​",
       "style": "IPY_MODEL_1197c204cb974bdf81292c243c5b63d2",
       "value": " 29/30 [00:04&lt;00:00, 10.48it/s, loss=0.116]"
      }
     },
     "f296543c940144738e96e0450186ed49": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "b0c1cc9b19ff4e8e86634affd84e2491": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "309c3a459b654c39806e62e135a43ef4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "358d65b44b614cf3bd39365430c5d5c5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "367b61564dc649f3bf147c99ff580577": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "27eec6baa09f4733b7e4a7d62d21392b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1197c204cb974bdf81292c243c5b63d2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ba1bf20b212842178dd1ffa78680ac8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_44bfe480808442f1aa16841b0ccc770a",
        "IPY_MODEL_e575a319b26d45a89e2eb272771e071a",
        "IPY_MODEL_03292ced7ffc4b97b50a7b944bb1ef87"
       ],
       "layout": "IPY_MODEL_2350431fde8b46179ff61589817a81ac"
      }
     },
     "44bfe480808442f1aa16841b0ccc770a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9c3cc2afe8e84e11b1a2a5ef0483fc15",
       "placeholder": "​",
       "style": "IPY_MODEL_e483a0115dfb4942a61ab57ca3f8c5a1",
       "value": "mask/efficientnet_b0 epoch 2/20: 100%"
      }
     },
     "e575a319b26d45a89e2eb272771e071a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a052723bda544d40ae38ec472fde3471",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_23ab33e0f0b14cb59d9629740990fc71",
       "value": 30
      }
     },
     "03292ced7ffc4b97b50a7b944bb1ef87": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9e46f4ddeae0475c859f0bb7f2f522c0",
       "placeholder": "​",
       "style": "IPY_MODEL_21e82a985fa443bb88807fea650126b5",
       "value": " 30/30 [00:03&lt;00:00,  7.32it/s, loss=0.016]"
      }
     },
     "2350431fde8b46179ff61589817a81ac": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "9c3cc2afe8e84e11b1a2a5ef0483fc15": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e483a0115dfb4942a61ab57ca3f8c5a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "a052723bda544d40ae38ec472fde3471": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "23ab33e0f0b14cb59d9629740990fc71": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9e46f4ddeae0475c859f0bb7f2f522c0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "21e82a985fa443bb88807fea650126b5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "7bbeb4bca9074eb8be73e87cd0b6041a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_3010cc1027c5484591156e96071b65bd",
        "IPY_MODEL_066055d5a0b24b8ba5210059713c3f77",
        "IPY_MODEL_bf13053548c44e65ac7e08fd8eb2f4b7"
       ],
       "layout": "IPY_MODEL_b1993409f6594143addcf410dda14e0d"
      }
     },
     "3010cc1027c5484591156e96071b65bd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_32ff64cde8524a698dbf786d140b9458",
       "placeholder": "​",
       "style": "IPY_MODEL_aa9187f6215b4ff486058d69a8b9aa6d",
       "value": "mask/efficientnet_b0 epoch 3/20: 100%"
      }
     },
     "066055d5a0b24b8ba5210059713c3f77": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_342598fc139e4f25b2f0ae2d11be186b",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_381203212510440183e2f74daae31c09",
       "value": 30
      }
     },
     "bf13053548c44e65ac7e08fd8eb2f4b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5d7718fd42d6493da44f1f1e1d8dd3cf",
       "placeholder": "​",
       "style": "IPY_MODEL_da6f6e24967c493e874250be6656667a",
       "value": " 30/30 [00:09&lt;00:00,  1.15it/s, loss=0.019]"
      }
     },
     "b1993409f6594143addcf410dda14e0d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "32ff64cde8524a698dbf786d140b9458": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "aa9187f6215b4ff486058d69a8b9aa6d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "342598fc139e4f25b2f0ae2d11be186b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "381203212510440183e2f74daae31c09": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "5d7718fd42d6493da44f1f1e1d8dd3cf": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "da6f6e24967c493e874250be6656667a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "2961cc0cd6dc489d9a95c8a1fa81c672": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_151522dd67b445d7a98a39a79ef3d46d",
        "IPY_MODEL_689d1bdb0cbb4b789041e3272248c90c",
        "IPY_MODEL_449dad7599474426890e7b258c70b2f6"
       ],
       "layout": "IPY_MODEL_d3e71551c203467d8bbdb25a1868a326"
      }
     },
     "151522dd67b445d7a98a39a79ef3d46d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9d41ecb406d84977bebba0551b6f79cb",
       "placeholder": "​",
       "style": "IPY_MODEL_5e8024d73b854791bc1fcd3319b3cd2b",
       "value": "mask/efficientnet_b0 epoch 4/20: 100%"
      }
     },
     "689d1bdb0cbb4b789041e3272248c90c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9a05d3686ba14fb89a66c570cd4e051e",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_7d8ca53583cf4131b30002e43bd39847",
       "value": 30
      }
     },
     "449dad7599474426890e7b258c70b2f6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_30668fd256eb404185054fa19790dbf9",
       "placeholder": "​",
       "style": "IPY_MODEL_2b884ecbca674f0fbba32fb6cd08decd",
       "value": " 30/30 [00:06&lt;00:00,  5.16it/s, loss=0.008]"
      }
     },
     "d3e71551c203467d8bbdb25a1868a326": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "9d41ecb406d84977bebba0551b6f79cb": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5e8024d73b854791bc1fcd3319b3cd2b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "9a05d3686ba14fb89a66c570cd4e051e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7d8ca53583cf4131b30002e43bd39847": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "30668fd256eb404185054fa19790dbf9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2b884ecbca674f0fbba32fb6cd08decd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d5530ceaffa641bcaa640afa1f422dec": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_5ebfba35a8c3404c96d7cb6fe181034e",
        "IPY_MODEL_9a9c1c0e4ca347d5a351ac3b1aac9721",
        "IPY_MODEL_f42ba277b03a48f3b94c3dd47d907313"
       ],
       "layout": "IPY_MODEL_66976afa5942420ea010997f6e0ea636"
      }
     },
     "5ebfba35a8c3404c96d7cb6fe181034e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6a73415a60464327ad068154a3872100",
       "placeholder": "​",
       "style": "IPY_MODEL_096df3b47f174b938845ef50c99f4fd2",
       "value": "mask/efficientnet_b0 epoch 5/20: 100%"
      }
     },
     "9a9c1c0e4ca347d5a351ac3b1aac9721": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_7e4d3dd667944aa5b8b7e837b4d923f8",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_5217d7f58b35454aaa0017c518a815b6",
       "value": 30
      }
     },
     "f42ba277b03a48f3b94c3dd47d907313": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_25e0d0e9681d4cf381f245fadf01a38b",
       "placeholder": "​",
       "style": "IPY_MODEL_34b2ece466dc41c7bc898f938e78a52c",
       "value": " 30/30 [00:06&lt;00:00,  4.41it/s, loss=0.001]"
      }
     },
     "66976afa5942420ea010997f6e0ea636": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "6a73415a60464327ad068154a3872100": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "096df3b47f174b938845ef50c99f4fd2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "7e4d3dd667944aa5b8b7e837b4d923f8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5217d7f58b35454aaa0017c518a815b6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "25e0d0e9681d4cf381f245fadf01a38b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "34b2ece466dc41c7bc898f938e78a52c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "fdccda31409d4ba398cbc5f8c5107a07": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_a0ab8ebf24c348e1959e77824a9d3108",
        "IPY_MODEL_c87bbc1887384c45911b6892048b76ff",
        "IPY_MODEL_3162973939574f7d8f5ff205caae646c"
       ],
       "layout": "IPY_MODEL_fd40bab6b319492a9c29600a4d158148"
      }
     },
     "a0ab8ebf24c348e1959e77824a9d3108": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_869c458c371545f99401fb6accb593ed",
       "placeholder": "​",
       "style": "IPY_MODEL_9f80b687b1b545b6b9a83c1c9adbeb86",
       "value": "mask/efficientnet_b0 epoch 6/20:  97%"
      }
     },
     "c87bbc1887384c45911b6892048b76ff": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_7d10c3e3cd5f49a282e1daf4d565ce6f",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_ce21a5f2578847528bf64b2f40eff9b9",
       "value": 30
      }
     },
     "3162973939574f7d8f5ff205caae646c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3838fe4b41e2438dbf3b2a268076f25d",
       "placeholder": "​",
       "style": "IPY_MODEL_6c8e2e79c60d4b8b87d1bb4125d16532",
       "value": " 29/30 [00:04&lt;00:00,  7.48it/s, loss=0.002]"
      }
     },
     "fd40bab6b319492a9c29600a4d158148": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "869c458c371545f99401fb6accb593ed": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9f80b687b1b545b6b9a83c1c9adbeb86": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "7d10c3e3cd5f49a282e1daf4d565ce6f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ce21a5f2578847528bf64b2f40eff9b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "3838fe4b41e2438dbf3b2a268076f25d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6c8e2e79c60d4b8b87d1bb4125d16532": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "7bb6e37820674e2593b869ccef130b75": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_cc904a79cf404a4faa2941b4a71bf5c8",
        "IPY_MODEL_0e29f5604f974d589bd951fa5cafa89d",
        "IPY_MODEL_c69e0c28a3294223a675156d14ab5e4a"
       ],
       "layout": "IPY_MODEL_bd12c815ec574dbeae3f06cde78598fd"
      }
     },
     "cc904a79cf404a4faa2941b4a71bf5c8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_314f985fc67948a0a40ed239ddadaee1",
       "placeholder": "​",
       "style": "IPY_MODEL_4c5da101d2984447801aeb1807f32869",
       "value": "mask/yolov8n_cls epoch 1/20:  97%"
      }
     },
     "0e29f5604f974d589bd951fa5cafa89d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ced5c45a5a6a4564b1ddd17855a00570",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_03497c7ccdc44e5ab849bfba5fa906c5",
       "value": 30
      }
     },
     "c69e0c28a3294223a675156d14ab5e4a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9f31767bb5dd4d77950dfa9ab93ea4f8",
       "placeholder": "​",
       "style": "IPY_MODEL_bd10d1631381408bbd22a149b755dee1",
       "value": " 29/30 [00:02&lt;00:00, 12.22it/s, loss=0.021]"
      }
     },
     "bd12c815ec574dbeae3f06cde78598fd": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "314f985fc67948a0a40ed239ddadaee1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4c5da101d2984447801aeb1807f32869": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ced5c45a5a6a4564b1ddd17855a00570": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "03497c7ccdc44e5ab849bfba5fa906c5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9f31767bb5dd4d77950dfa9ab93ea4f8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bd10d1631381408bbd22a149b755dee1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "aef34ae3aded446280875444cecf7fbc": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_15d8d094c348420fa9a66a6742e80928",
        "IPY_MODEL_11339a56e7084900bbcf916f3e1e4862",
        "IPY_MODEL_8edfcb2ec1b04457ade038b0a0efd77f"
       ],
       "layout": "IPY_MODEL_48b529c48722455cb637acab2f006aff"
      }
     },
     "15d8d094c348420fa9a66a6742e80928": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1223742a16cc4df5b4211139fdd37fd8",
       "placeholder": "​",
       "style": "IPY_MODEL_e4922b600df04f86b23442f13e914117",
       "value": "mask/yolov8n_cls epoch 2/20:  97%"
      }
     },
     "11339a56e7084900bbcf916f3e1e4862": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5d9e0f2311aa422e8fc9759c606fdf1f",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_38b9e73f38224161be5bb6a36022cce5",
       "value": 30
      }
     },
     "8edfcb2ec1b04457ade038b0a0efd77f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5f5024f5ceb24bcd93fe24e0e591012e",
       "placeholder": "​",
       "style": "IPY_MODEL_8f86a286623643918337e53ca5a79acc",
       "value": " 29/30 [00:03&lt;00:00,  8.01it/s, loss=0.008]"
      }
     },
     "48b529c48722455cb637acab2f006aff": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "1223742a16cc4df5b4211139fdd37fd8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e4922b600df04f86b23442f13e914117": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5d9e0f2311aa422e8fc9759c606fdf1f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "38b9e73f38224161be5bb6a36022cce5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "5f5024f5ceb24bcd93fe24e0e591012e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8f86a286623643918337e53ca5a79acc": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "cfa9f01ce4af4705b36096394c87087f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_89c9749a1d01402ea5ff254033dd9de3",
        "IPY_MODEL_f41ffb3fd3a84d15b9c8a2dbe6061977",
        "IPY_MODEL_126741a3a91542ffbec6f3b7543f9591"
       ],
       "layout": "IPY_MODEL_d3e34461be7a4bf0a6c32c462fd89c38"
      }
     },
     "89c9749a1d01402ea5ff254033dd9de3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_08dc8ce6239a4f56909e7e0e4242de3a",
       "placeholder": "​",
       "style": "IPY_MODEL_6f490288a52241f3a2979a294710d904",
       "value": "mask/yolov8n_cls epoch 3/20: 100%"
      }
     },
     "f41ffb3fd3a84d15b9c8a2dbe6061977": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_fa4ecfebc0c441fcbe1c0338f873bc91",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_63cb67005c89421386338c92ee8af7c4",
       "value": 30
      }
     },
     "126741a3a91542ffbec6f3b7543f9591": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6f71d7142b564bab9fd6d8d87a6c42d8",
       "placeholder": "​",
       "style": "IPY_MODEL_1702b893b6e04149942301485eb82c8d",
       "value": " 30/30 [00:03&lt;00:00,  9.14it/s, loss=0.046]"
      }
     },
     "d3e34461be7a4bf0a6c32c462fd89c38": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "08dc8ce6239a4f56909e7e0e4242de3a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6f490288a52241f3a2979a294710d904": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "fa4ecfebc0c441fcbe1c0338f873bc91": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "63cb67005c89421386338c92ee8af7c4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "6f71d7142b564bab9fd6d8d87a6c42d8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1702b893b6e04149942301485eb82c8d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "cfb518f4343047f2bd5d7ba687c6ae40": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_427b0b4734e243cca8fa0f6719020b8a",
        "IPY_MODEL_1cee14f74eef4af3b8402e653ff6e2f8",
        "IPY_MODEL_4601a9e9a3024e749dd9aeef1407b49d"
       ],
       "layout": "IPY_MODEL_504313b3601d4394a675bd38a38c3fec"
      }
     },
     "427b0b4734e243cca8fa0f6719020b8a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6a5d67b655a64271921285280ef27188",
       "placeholder": "​",
       "style": "IPY_MODEL_da94ce685b0a48d3a68b0dbbb9746a2c",
       "value": "mask/yolov8n_cls epoch 4/20: 100%"
      }
     },
     "1cee14f74eef4af3b8402e653ff6e2f8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b28fdb36999d4e1aa87cd93f5babb93d",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_f11b9d727d09435e93cd2ce627f177fc",
       "value": 30
      }
     },
     "4601a9e9a3024e749dd9aeef1407b49d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_462a3b7a0d0b4f5293f41f2a53c02638",
       "placeholder": "​",
       "style": "IPY_MODEL_a6d801810c1a4c1cae55a977b4322af8",
       "value": " 30/30 [00:03&lt;00:00, 10.40it/s, loss=0.006]"
      }
     },
     "504313b3601d4394a675bd38a38c3fec": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "6a5d67b655a64271921285280ef27188": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "da94ce685b0a48d3a68b0dbbb9746a2c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b28fdb36999d4e1aa87cd93f5babb93d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f11b9d727d09435e93cd2ce627f177fc": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "462a3b7a0d0b4f5293f41f2a53c02638": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a6d801810c1a4c1cae55a977b4322af8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "c4a438df7466461e8fab7db76d9a4181": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_ec2f02b24514472084c89e3bfccf0c08",
        "IPY_MODEL_86152566dd204ad1aec4344adeb1ed0d",
        "IPY_MODEL_eaeedb255f2e4208a09d0e361ca0cb1f"
       ],
       "layout": "IPY_MODEL_1da8e10e517440748b71ef224f545476"
      }
     },
     "ec2f02b24514472084c89e3bfccf0c08": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c85599f773f444838963adaa041aa96e",
       "placeholder": "​",
       "style": "IPY_MODEL_fa7926da8fe6494da4722135f96e5f26",
       "value": "mask/yolov8n_cls epoch 5/20:  97%"
      }
     },
     "86152566dd204ad1aec4344adeb1ed0d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e0ab053fac97430a87c33c22c55f5d2a",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_dc1bea61825b436a87280cbc91024987",
       "value": 30
      }
     },
     "eaeedb255f2e4208a09d0e361ca0cb1f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9fa84848e572468d8680ff5848909dde",
       "placeholder": "​",
       "style": "IPY_MODEL_c15191d694d847d7b96ca15dddb23802",
       "value": " 29/30 [00:03&lt;00:00,  7.16it/s, loss=0.007]"
      }
     },
     "1da8e10e517440748b71ef224f545476": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "c85599f773f444838963adaa041aa96e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "fa7926da8fe6494da4722135f96e5f26": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "e0ab053fac97430a87c33c22c55f5d2a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "dc1bea61825b436a87280cbc91024987": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9fa84848e572468d8680ff5848909dde": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c15191d694d847d7b96ca15dddb23802": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "cc33df66128f480c850c63b22769e687": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_818981f4d88a41fdb35c3487d234216b",
        "IPY_MODEL_7c939027a83d4990b1593da3e06b75a9",
        "IPY_MODEL_a25d634cc8a24f9abb6f88be887a9fcd"
       ],
       "layout": "IPY_MODEL_cd7fccf1c49e4dd6831b7ba08d2c245f"
      }
     },
     "818981f4d88a41fdb35c3487d234216b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f5d2a7b555ec4a4a851e6d6bd17a319e",
       "placeholder": "​",
       "style": "IPY_MODEL_598daa7de99348838a8e50118e14d3a1",
       "value": "mask/yolov8n_cls epoch 6/20:  97%"
      }
     },
     "7c939027a83d4990b1593da3e06b75a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_37eabc209c9e40a68f2cd00aaafa776e",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_b21658bcaa3b49209b619eadf776db1f",
       "value": 30
      }
     },
     "a25d634cc8a24f9abb6f88be887a9fcd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_740cc93eecf24060b933ff42ecd512f4",
       "placeholder": "​",
       "style": "IPY_MODEL_8129ea9e73c84d539c09a39cf5b7bae0",
       "value": " 29/30 [00:03&lt;00:00, 10.16it/s, loss=0.003]"
      }
     },
     "cd7fccf1c49e4dd6831b7ba08d2c245f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "f5d2a7b555ec4a4a851e6d6bd17a319e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "598daa7de99348838a8e50118e14d3a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "37eabc209c9e40a68f2cd00aaafa776e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b21658bcaa3b49209b619eadf776db1f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "740cc93eecf24060b933ff42ecd512f4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8129ea9e73c84d539c09a39cf5b7bae0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "39b34c82c07b4e70930d0a01748e202b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_b1653bafe413466d8542fac3aa1e6a14",
        "IPY_MODEL_8713591a264d47dc9027689f3ee00068",
        "IPY_MODEL_c3b56831eac44696980da5a2c91abf63"
       ],
       "layout": "IPY_MODEL_a512e520b6ec47eabeb08fa23bd1baef"
      }
     },
     "b1653bafe413466d8542fac3aa1e6a14": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_cbda8cee072542d49cb470b6b65b67e0",
       "placeholder": "​",
       "style": "IPY_MODEL_0a634fa9284641bdb0171b14d2607548",
       "value": "mask/yolov8n_cls epoch 7/20: 100%"
      }
     },
     "8713591a264d47dc9027689f3ee00068": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2fb8b00ce9db4887b56f5ca3d20eecfa",
       "max": 30,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_3888bc1935454d33823247bd73a69ef3",
       "value": 30
      }
     },
     "c3b56831eac44696980da5a2c91abf63": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_226207c9856c4bfd9f2044a857a37315",
       "placeholder": "​",
       "style": "IPY_MODEL_47aa895771004677bdd7bdc793384ce0",
       "value": " 30/30 [00:02&lt;00:00, 10.72it/s, loss=0.000]"
      }
     },
     "a512e520b6ec47eabeb08fa23bd1baef": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "cbda8cee072542d49cb470b6b65b67e0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0a634fa9284641bdb0171b14d2607548": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "2fb8b00ce9db4887b56f5ca3d20eecfa": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3888bc1935454d33823247bd73a69ef3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "226207c9856c4bfd9f2044a857a37315": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "47aa895771004677bdd7bdc793384ce0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "2b1ce8860292476ea0bf51280ca321bd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_116927771a4e4bca93105e2cef2ad9ac",
        "IPY_MODEL_e719b0fc70a24b62b016eb40116ccc1c",
        "IPY_MODEL_945880fd8aa24a4bbcfcca2f8f0fa278"
       ],
       "layout": "IPY_MODEL_b14ca5fcebc54176b96a743ac5a68d44"
      }
     },
     "116927771a4e4bca93105e2cef2ad9ac": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9528d0d481a74365ae233c5da53be176",
       "placeholder": "​",
       "style": "IPY_MODEL_6d413d2dc99440c6be470a254a5204c3",
       "value": "shoes/resnet50 epoch 1/20: 100%"
      }
     },
     "e719b0fc70a24b62b016eb40116ccc1c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4a0d99a84b2c4433a68b166d7b4402d0",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_a2d5d4475ade422888c21b8ad2ca8da7",
       "value": 48
      }
     },
     "945880fd8aa24a4bbcfcca2f8f0fa278": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f01f4f4fc1b54e27b4dc85ebe4be8fd2",
       "placeholder": "​",
       "style": "IPY_MODEL_122085ee971b40aaab00bf0ae29ee92c",
       "value": " 48/48 [00:06&lt;00:00,  4.24it/s, loss=0.033]"
      }
     },
     "b14ca5fcebc54176b96a743ac5a68d44": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "9528d0d481a74365ae233c5da53be176": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6d413d2dc99440c6be470a254a5204c3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "4a0d99a84b2c4433a68b166d7b4402d0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a2d5d4475ade422888c21b8ad2ca8da7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "f01f4f4fc1b54e27b4dc85ebe4be8fd2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "122085ee971b40aaab00bf0ae29ee92c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5c0bee811aa54c379fb80995adbb09a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_c5a418c3ec714b2ea0721240565941de",
        "IPY_MODEL_fef50c04518e4396a2d45835d9f7093c",
        "IPY_MODEL_c8ad367a3e3f4a3980572ea69acb08b6"
       ],
       "layout": "IPY_MODEL_1007fd68b713498a8be10da4812d5ede"
      }
     },
     "c5a418c3ec714b2ea0721240565941de": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_29f6fef37c414e04af5b4b9412212cc9",
       "placeholder": "​",
       "style": "IPY_MODEL_0430b58b7e6b4938b09cc13889b6d230",
       "value": "shoes/resnet50 epoch 2/20:  98%"
      }
     },
     "fef50c04518e4396a2d45835d9f7093c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a53dbb71d4684f8a9ebabb3991e5d5c5",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_8f4602ba3e3945abb753af0bb8d4f7f6",
       "value": 48
      }
     },
     "c8ad367a3e3f4a3980572ea69acb08b6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_567ce6aa908b499f8bc6ed2c8fb8e5b8",
       "placeholder": "​",
       "style": "IPY_MODEL_67732c8c528f4f5ba94eb5aac54451c7",
       "value": " 47/48 [00:04&lt;00:00,  9.86it/s, loss=0.005]"
      }
     },
     "1007fd68b713498a8be10da4812d5ede": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "29f6fef37c414e04af5b4b9412212cc9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0430b58b7e6b4938b09cc13889b6d230": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "a53dbb71d4684f8a9ebabb3991e5d5c5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8f4602ba3e3945abb753af0bb8d4f7f6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "567ce6aa908b499f8bc6ed2c8fb8e5b8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "67732c8c528f4f5ba94eb5aac54451c7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "88d55b650e2b4ce7a7072c4040eee4aa": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_70688ec4e9fb4263975541dd5003ab55",
        "IPY_MODEL_9049cd58057d45fcb067e04aa68eb853",
        "IPY_MODEL_4e84f8241a6846fcb961e4afb43d7e63"
       ],
       "layout": "IPY_MODEL_cd70dd58e3214b4db7285021a92884b5"
      }
     },
     "70688ec4e9fb4263975541dd5003ab55": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2e77a916c33f4494858a67d018a75bc0",
       "placeholder": "​",
       "style": "IPY_MODEL_90f1aae7433f48e890b9e45ddaf1fd5e",
       "value": "shoes/resnet50 epoch 3/20: 100%"
      }
     },
     "9049cd58057d45fcb067e04aa68eb853": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_57e09445697f452a8d8c77ed6582b42c",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_4fa690a025c94f85ad30362c8eabbbde",
       "value": 48
      }
     },
     "4e84f8241a6846fcb961e4afb43d7e63": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_11f9de6cc1544dce992e6a13351b82fa",
       "placeholder": "​",
       "style": "IPY_MODEL_0aae658f2aa743bd8961e413c958d776",
       "value": " 48/48 [00:07&lt;00:00,  5.34it/s, loss=0.139]"
      }
     },
     "cd70dd58e3214b4db7285021a92884b5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "2e77a916c33f4494858a67d018a75bc0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "90f1aae7433f48e890b9e45ddaf1fd5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "57e09445697f452a8d8c77ed6582b42c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4fa690a025c94f85ad30362c8eabbbde": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "11f9de6cc1544dce992e6a13351b82fa": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0aae658f2aa743bd8961e413c958d776": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "071395a193d2409fbf83cffac8861dff": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_7d0fa82bb874425581b717dd2c1f3d13",
        "IPY_MODEL_cf2a5668a8f54f00b76c9a42c4605ad1",
        "IPY_MODEL_effd1394779b4e89bac8305cf7b824f4"
       ],
       "layout": "IPY_MODEL_355118ac16a84a7f8c9a2787c181d44f"
      }
     },
     "7d0fa82bb874425581b717dd2c1f3d13": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_de15d764eb324c56b1aae8f87c6fb35d",
       "placeholder": "​",
       "style": "IPY_MODEL_e75c42dfe48640948728163df0745801",
       "value": "shoes/resnet50 epoch 4/20: 100%"
      }
     },
     "cf2a5668a8f54f00b76c9a42c4605ad1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b5c95ead8323492381669744265ab185",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_7ada1b5cebe544d2a012db0ea42b4ff5",
       "value": 48
      }
     },
     "effd1394779b4e89bac8305cf7b824f4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8af7122e5dff45d9839c39e9fc89350f",
       "placeholder": "​",
       "style": "IPY_MODEL_88561cb7a07f426b8cdf3ace789eb02b",
       "value": " 48/48 [00:07&lt;00:00,  5.00it/s, loss=0.433]"
      }
     },
     "355118ac16a84a7f8c9a2787c181d44f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "de15d764eb324c56b1aae8f87c6fb35d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e75c42dfe48640948728163df0745801": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b5c95ead8323492381669744265ab185": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7ada1b5cebe544d2a012db0ea42b4ff5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "8af7122e5dff45d9839c39e9fc89350f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "88561cb7a07f426b8cdf3ace789eb02b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "cc35a093003041308a6210a3a917b139": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_28882f4736d2485989e2fd0bf32480f9",
        "IPY_MODEL_845e4bff3b8944749210720c9cd4af86",
        "IPY_MODEL_e3bc54c974754b249ad3a2fa8190e4a4"
       ],
       "layout": "IPY_MODEL_ede7c7d7f7cc4b3e92d605e7ce54ebd8"
      }
     },
     "28882f4736d2485989e2fd0bf32480f9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5696cfbfb3f04e84aa1590f30693f407",
       "placeholder": "​",
       "style": "IPY_MODEL_c01a6912568f40b281dab5d5514d7b48",
       "value": "shoes/resnet50 epoch 5/20:  98%"
      }
     },
     "845e4bff3b8944749210720c9cd4af86": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b88d5e73de334512884f80e78a4f0602",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_7f176823cfed498ba4992806b76908fa",
       "value": 48
      }
     },
     "e3bc54c974754b249ad3a2fa8190e4a4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8d23881529244603b43819112a978cfe",
       "placeholder": "​",
       "style": "IPY_MODEL_e592151197404d8c98f2c8e4d15548b7",
       "value": " 47/48 [00:08&lt;00:00,  6.05it/s, loss=0.030]"
      }
     },
     "ede7c7d7f7cc4b3e92d605e7ce54ebd8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "5696cfbfb3f04e84aa1590f30693f407": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c01a6912568f40b281dab5d5514d7b48": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b88d5e73de334512884f80e78a4f0602": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7f176823cfed498ba4992806b76908fa": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "8d23881529244603b43819112a978cfe": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e592151197404d8c98f2c8e4d15548b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "0e5db202a99348df82892d7014afc3f9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_30a50ae14af04745b96b953ebd6a541f",
        "IPY_MODEL_39eb1f4685c14775a7b18bff3dd19a0d",
        "IPY_MODEL_d9f685c490824f45b7eab696a5131b6a"
       ],
       "layout": "IPY_MODEL_39b426ba3d434b4caf5c73a244210690"
      }
     },
     "30a50ae14af04745b96b953ebd6a541f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_abc1279fbad0461dbf28776790ce9eb1",
       "placeholder": "​",
       "style": "IPY_MODEL_be26db2b331d4afdba106295307b73c4",
       "value": "shoes/resnet50 epoch 6/20:  98%"
      }
     },
     "39eb1f4685c14775a7b18bff3dd19a0d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_af4c72d07d964d678adfc8d20fc27b48",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_4b786dc1f9df4d98aec1bb04ad4fc7ea",
       "value": 48
      }
     },
     "d9f685c490824f45b7eab696a5131b6a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_74c01a7af5b34b848abb85e7d3337329",
       "placeholder": "​",
       "style": "IPY_MODEL_6c2e1a9483564de9b5ed4a3f609a2bc8",
       "value": " 47/48 [00:07&lt;00:00,  5.10it/s, loss=0.001]"
      }
     },
     "39b426ba3d434b4caf5c73a244210690": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "abc1279fbad0461dbf28776790ce9eb1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "be26db2b331d4afdba106295307b73c4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "af4c72d07d964d678adfc8d20fc27b48": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4b786dc1f9df4d98aec1bb04ad4fc7ea": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "74c01a7af5b34b848abb85e7d3337329": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6c2e1a9483564de9b5ed4a3f609a2bc8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b27692dd48ab4114bb9d3373a1d669f0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_2f78f9621874457eb03f2ab0c9010e69",
        "IPY_MODEL_36ab3998b645413a85ca450ae03f7295",
        "IPY_MODEL_cdd2c5013c364ce2ba84544f1eb29ad9"
       ],
       "layout": "IPY_MODEL_77e9080ee9024861a4a1e72d79594516"
      }
     },
     "2f78f9621874457eb03f2ab0c9010e69": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3ef49e1dc1f84a90ae48689571e5adcb",
       "placeholder": "​",
       "style": "IPY_MODEL_66acea5896f7423b861114918b3e8104",
       "value": "shoes/resnet50 epoch 7/20: 100%"
      }
     },
     "36ab3998b645413a85ca450ae03f7295": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_737732c4986140f48d9471c11c5b766e",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_67281364390b44b48a921ceccdf556fa",
       "value": 48
      }
     },
     "cdd2c5013c364ce2ba84544f1eb29ad9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6601372615bb4211a293586a2316c75e",
       "placeholder": "​",
       "style": "IPY_MODEL_6bcce43c204442d9a316bd84d53228fb",
       "value": " 48/48 [00:08&lt;00:00,  4.62it/s, loss=0.061]"
      }
     },
     "77e9080ee9024861a4a1e72d79594516": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "3ef49e1dc1f84a90ae48689571e5adcb": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "66acea5896f7423b861114918b3e8104": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "737732c4986140f48d9471c11c5b766e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "67281364390b44b48a921ceccdf556fa": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "6601372615bb4211a293586a2316c75e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6bcce43c204442d9a316bd84d53228fb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "4032e77fa3634e16953745e0bb039034": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_d7d98ce1875d4e9ab0717b5faf2364be",
        "IPY_MODEL_83578348c97f4c698177d2541164218c",
        "IPY_MODEL_2e3270bad8984dcdb00ecf24ed80cf3f"
       ],
       "layout": "IPY_MODEL_1d269dcf1e8c4e74bc1cdb0f52bc45b4"
      }
     },
     "d7d98ce1875d4e9ab0717b5faf2364be": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_92345d58c13a4fc3b7f2fc8e1224c571",
       "placeholder": "​",
       "style": "IPY_MODEL_1dbaf4d7bea84fb686f0c5752e789fe7",
       "value": "shoes/resnet50 epoch 8/20:  98%"
      }
     },
     "83578348c97f4c698177d2541164218c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5005b107a2714a209e35f14cf7178468",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_ff631b94712149f39b46a3c49e458493",
       "value": 48
      }
     },
     "2e3270bad8984dcdb00ecf24ed80cf3f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_35232529b16d41498300bb1152dddad4",
       "placeholder": "​",
       "style": "IPY_MODEL_beaee1f10e8e4465b9b77e4534c1ddb0",
       "value": " 47/48 [00:08&lt;00:00,  5.09it/s, loss=0.001]"
      }
     },
     "1d269dcf1e8c4e74bc1cdb0f52bc45b4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "92345d58c13a4fc3b7f2fc8e1224c571": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1dbaf4d7bea84fb686f0c5752e789fe7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5005b107a2714a209e35f14cf7178468": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ff631b94712149f39b46a3c49e458493": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "35232529b16d41498300bb1152dddad4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "beaee1f10e8e4465b9b77e4534c1ddb0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "994e183c4d5c4d2a9d9ccb9facb8ffc3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_54f714ff09504e398a1cf9e960453db7",
        "IPY_MODEL_65cfdcb864884ba1a8098cd8b8347095",
        "IPY_MODEL_0e4497cf6cc947a4a4d11836255a4576"
       ],
       "layout": "IPY_MODEL_18ccfc9fcc014756a17017eaadab2063"
      }
     },
     "54f714ff09504e398a1cf9e960453db7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4084f0abf2c241a1a0d4173b60faa413",
       "placeholder": "​",
       "style": "IPY_MODEL_7e4e17ed4811456381b52321e8ced123",
       "value": "shoes/resnet50 epoch 9/20:  98%"
      }
     },
     "65cfdcb864884ba1a8098cd8b8347095": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b4f1c7f7ea634189a0366add7a442b8d",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_429ac160db164b71b28dc6146ba74d39",
       "value": 48
      }
     },
     "0e4497cf6cc947a4a4d11836255a4576": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_dcd8fb49902e489c9bc0491437e388ad",
       "placeholder": "​",
       "style": "IPY_MODEL_fbb5d0b2e7524f99bffe4f42c0bc8289",
       "value": " 47/48 [00:06&lt;00:00,  7.11it/s, loss=0.023]"
      }
     },
     "18ccfc9fcc014756a17017eaadab2063": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "4084f0abf2c241a1a0d4173b60faa413": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7e4e17ed4811456381b52321e8ced123": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b4f1c7f7ea634189a0366add7a442b8d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "429ac160db164b71b28dc6146ba74d39": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "dcd8fb49902e489c9bc0491437e388ad": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "fbb5d0b2e7524f99bffe4f42c0bc8289": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b1789ccc1e254d14bbdbb2bb198ab5a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_2945bc05659748d28efc907c86778a15",
        "IPY_MODEL_99284c03dc8046ffb3e4b8dd92739f6a",
        "IPY_MODEL_affa4780a02d469e8f1fb6bb0c00108f"
       ],
       "layout": "IPY_MODEL_f7b3dd214d62468eaaffe33b3f1f613a"
      }
     },
     "2945bc05659748d28efc907c86778a15": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8648b7748d4346ea9f4ca149aebec613",
       "placeholder": "​",
       "style": "IPY_MODEL_3817088025d14bc9827774c95c2702f1",
       "value": "shoes/efficientnet_b0 epoch 1/20:  98%"
      }
     },
     "99284c03dc8046ffb3e4b8dd92739f6a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_060a4c48a8a04bbfb1124b67ad04dd58",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_a7b2c39831c1486abbe0c7a8de321ad3",
       "value": 48
      }
     },
     "affa4780a02d469e8f1fb6bb0c00108f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_33e0ea0dd6e94ef8b03c2d98624101b9",
       "placeholder": "​",
       "style": "IPY_MODEL_f8bbd04685614695a4f6bccef140464d",
       "value": " 47/48 [00:05&lt;00:00, 11.09it/s, loss=0.054]"
      }
     },
     "f7b3dd214d62468eaaffe33b3f1f613a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "8648b7748d4346ea9f4ca149aebec613": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3817088025d14bc9827774c95c2702f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "060a4c48a8a04bbfb1124b67ad04dd58": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a7b2c39831c1486abbe0c7a8de321ad3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "33e0ea0dd6e94ef8b03c2d98624101b9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f8bbd04685614695a4f6bccef140464d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "3c6cfed6ae4b4ac59304bb31045eccc7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_32b3ceaf44664207a60fefefa69533d7",
        "IPY_MODEL_35b4837ba8c04427800dfa06843c9928",
        "IPY_MODEL_94786a5edb8f470fb9dc0f32c8e67b82"
       ],
       "layout": "IPY_MODEL_53fbaa67c0864d7c946879bc0eaa394e"
      }
     },
     "32b3ceaf44664207a60fefefa69533d7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c676377dccb6454e81ca296d1266a90d",
       "placeholder": "​",
       "style": "IPY_MODEL_531ba89119404114b3187a05f15ba656",
       "value": "shoes/efficientnet_b0 epoch 2/20:  98%"
      }
     },
     "35b4837ba8c04427800dfa06843c9928": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c5498f2756324ee3ae0aaf9d3af5e7be",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_ba8369d430394b8f9b4edcd8526836e2",
       "value": 48
      }
     },
     "94786a5edb8f470fb9dc0f32c8e67b82": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_781e2464196b481ab45de8d6fd58249c",
       "placeholder": "​",
       "style": "IPY_MODEL_dfe79cecc427420f9d916fd98c5eb08d",
       "value": " 47/48 [00:05&lt;00:00,  7.75it/s, loss=0.003]"
      }
     },
     "53fbaa67c0864d7c946879bc0eaa394e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "c676377dccb6454e81ca296d1266a90d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "531ba89119404114b3187a05f15ba656": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "c5498f2756324ee3ae0aaf9d3af5e7be": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ba8369d430394b8f9b4edcd8526836e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "781e2464196b481ab45de8d6fd58249c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "dfe79cecc427420f9d916fd98c5eb08d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5bfb7c61aa34430e9403f072298104b8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_21979bfe705746079107a2b134bc3f44",
        "IPY_MODEL_cbed68ead1044645b30130ca947c21b9",
        "IPY_MODEL_9371cef879db495c80ce2620825de995"
       ],
       "layout": "IPY_MODEL_6e5b8ecadfce49528636bf58a46cbf1c"
      }
     },
     "21979bfe705746079107a2b134bc3f44": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_76176b80a9644cfd844b9e75c061ce1c",
       "placeholder": "​",
       "style": "IPY_MODEL_c7172778427a4d8d8c5a7dc56de9c89f",
       "value": "shoes/efficientnet_b0 epoch 3/20: 100%"
      }
     },
     "cbed68ead1044645b30130ca947c21b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_830340259b6f4d2aae4600c47948264d",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_7dd1ead0dc2843468e3f7cf4a90a2b33",
       "value": 48
      }
     },
     "9371cef879db495c80ce2620825de995": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8d53d3b84cc44519a84f62609301aa85",
       "placeholder": "​",
       "style": "IPY_MODEL_edca5bc31d7746c1b4c574e00d8c7c71",
       "value": " 48/48 [00:07&lt;00:00,  2.38it/s, loss=0.484]"
      }
     },
     "6e5b8ecadfce49528636bf58a46cbf1c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "76176b80a9644cfd844b9e75c061ce1c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c7172778427a4d8d8c5a7dc56de9c89f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "830340259b6f4d2aae4600c47948264d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7dd1ead0dc2843468e3f7cf4a90a2b33": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "8d53d3b84cc44519a84f62609301aa85": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "edca5bc31d7746c1b4c574e00d8c7c71": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "29fa9d9eefea46d98a395fa53c0d7693": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e51dcb72638849c8a6995df485f94e32",
        "IPY_MODEL_ca83e1f44a374cd5909a4bf61973b59c",
        "IPY_MODEL_cb26bce7df3649c6ba0a054390984f91"
       ],
       "layout": "IPY_MODEL_538d07a66e7d4241b68e5e09c0766112"
      }
     },
     "e51dcb72638849c8a6995df485f94e32": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_343ff5231441441ebcf54af01363a6fc",
       "placeholder": "​",
       "style": "IPY_MODEL_7d05f45059074ff183c93c4f93799db8",
       "value": "shoes/efficientnet_b0 epoch 4/20:  98%"
      }
     },
     "ca83e1f44a374cd5909a4bf61973b59c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f1e6a43241be466c9b47592182fe6b3a",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_f8c1ccd440f8449080adfd2342efa703",
       "value": 48
      }
     },
     "cb26bce7df3649c6ba0a054390984f91": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_29565fc68a2b486098474929114c278f",
       "placeholder": "​",
       "style": "IPY_MODEL_f1c271c9a4864af0ba8de1d19f5440b1",
       "value": " 47/48 [00:10&lt;00:00,  5.03it/s, loss=0.213]"
      }
     },
     "538d07a66e7d4241b68e5e09c0766112": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "343ff5231441441ebcf54af01363a6fc": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7d05f45059074ff183c93c4f93799db8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "f1e6a43241be466c9b47592182fe6b3a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f8c1ccd440f8449080adfd2342efa703": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "29565fc68a2b486098474929114c278f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f1c271c9a4864af0ba8de1d19f5440b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "34da5803a3424d6da9482c2e17c4c128": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_0b1abc9f6de648c0b8c11091db250608",
        "IPY_MODEL_e15816f4fc684670a97d8098d6133e2c",
        "IPY_MODEL_60e35d02e7024bbd84bc335918382182"
       ],
       "layout": "IPY_MODEL_7b96e0cf577f43ec9a1843cfd7b5a258"
      }
     },
     "0b1abc9f6de648c0b8c11091db250608": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_67b413d5325442a5aa62bdd05b065587",
       "placeholder": "​",
       "style": "IPY_MODEL_726950c67d6e46118dfd063e31c8debd",
       "value": "shoes/efficientnet_b0 epoch 5/20:  98%"
      }
     },
     "e15816f4fc684670a97d8098d6133e2c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_605d2f913ef3482ea0eb2c899e2d0e07",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_ab5d7505dfb94690899c35b99fd566b9",
       "value": 48
      }
     },
     "60e35d02e7024bbd84bc335918382182": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_445b88d6c79240e6a4914e288f6b69a0",
       "placeholder": "​",
       "style": "IPY_MODEL_e4529fe94309424f855574a8fae6a6e4",
       "value": " 47/48 [00:08&lt;00:00,  6.36it/s, loss=0.045]"
      }
     },
     "7b96e0cf577f43ec9a1843cfd7b5a258": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "67b413d5325442a5aa62bdd05b065587": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "726950c67d6e46118dfd063e31c8debd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "605d2f913ef3482ea0eb2c899e2d0e07": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ab5d7505dfb94690899c35b99fd566b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "445b88d6c79240e6a4914e288f6b69a0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e4529fe94309424f855574a8fae6a6e4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "a5a4c10074414deb8789ac06d960d79a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_ec4b665a30df438f875d10f2108c1d7e",
        "IPY_MODEL_1327b2692582472f9cee8430fc172aa1",
        "IPY_MODEL_8b8ac487391b4e1c9a3626ea111aa108"
       ],
       "layout": "IPY_MODEL_6b5b480304854e80a0cb70de21162e2a"
      }
     },
     "ec4b665a30df438f875d10f2108c1d7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_7d8381120d9b44faa3f2391f3ee56fbe",
       "placeholder": "​",
       "style": "IPY_MODEL_c3b2c92961064923a4a3e5e68578db82",
       "value": "shoes/efficientnet_b0 epoch 6/20:  98%"
      }
     },
     "1327b2692582472f9cee8430fc172aa1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_12e60f8d58164801a6691ca7131cf416",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_ca25d88b37fc44d794f5571d7a5d1d98",
       "value": 48
      }
     },
     "8b8ac487391b4e1c9a3626ea111aa108": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e571215c193f48bab575630c84d403e2",
       "placeholder": "​",
       "style": "IPY_MODEL_65919489de0f4e57841e901faad31fcb",
       "value": " 47/48 [00:06&lt;00:00,  7.70it/s, loss=0.012]"
      }
     },
     "6b5b480304854e80a0cb70de21162e2a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "7d8381120d9b44faa3f2391f3ee56fbe": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c3b2c92961064923a4a3e5e68578db82": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "12e60f8d58164801a6691ca7131cf416": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ca25d88b37fc44d794f5571d7a5d1d98": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "e571215c193f48bab575630c84d403e2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "65919489de0f4e57841e901faad31fcb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "70bf180b064247e5bc25d3b5efcb702d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_989854e4348d43a2b6a037d4d71483e2",
        "IPY_MODEL_d43c981e75e545a28db4d5544bca3854",
        "IPY_MODEL_817256e566564b5fbe22270f4993108a"
       ],
       "layout": "IPY_MODEL_985437f746ae4ecab0a702d482dc8a9a"
      }
     },
     "989854e4348d43a2b6a037d4d71483e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_84f4f95c93f34c58908d56e4fdc1184c",
       "placeholder": "​",
       "style": "IPY_MODEL_e8a68c2acc4b49a88dfad41d295af957",
       "value": "shoes/efficientnet_b0 epoch 7/20:  98%"
      }
     },
     "d43c981e75e545a28db4d5544bca3854": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_aece22831d744772b92674c033cf2c18",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_8eccd6ed50ee447d896c12d805811c03",
       "value": 48
      }
     },
     "817256e566564b5fbe22270f4993108a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e3fa3c6c56bb40d6a7556ddb8cb140b1",
       "placeholder": "​",
       "style": "IPY_MODEL_fa379810f1df447fa50355eb8204b20b",
       "value": " 47/48 [00:08&lt;00:00,  5.87it/s, loss=0.054]"
      }
     },
     "985437f746ae4ecab0a702d482dc8a9a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "84f4f95c93f34c58908d56e4fdc1184c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e8a68c2acc4b49a88dfad41d295af957": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "aece22831d744772b92674c033cf2c18": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8eccd6ed50ee447d896c12d805811c03": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "e3fa3c6c56bb40d6a7556ddb8cb140b1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "fa379810f1df447fa50355eb8204b20b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "773ed5ee4c474e62844a6aa07c118a4e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_096407ac462346f9bfd0029176e4c6bb",
        "IPY_MODEL_a6f487313b6c441d909b2ac3c4e01698",
        "IPY_MODEL_fcf88769754747daac691ae45f2a0ab4"
       ],
       "layout": "IPY_MODEL_e7392813470a45d8b615c347a7ae14c8"
      }
     },
     "096407ac462346f9bfd0029176e4c6bb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_073678cf36334465bebdea76eea0f217",
       "placeholder": "​",
       "style": "IPY_MODEL_e9d59085aef2481b94cb6e3f74c77488",
       "value": "shoes/efficientnet_b0 epoch 8/20:  98%"
      }
     },
     "a6f487313b6c441d909b2ac3c4e01698": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1c20d16b56a74448aec97714d7c961fa",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_d2da1984554f4ed0ba2efbd165a7809c",
       "value": 48
      }
     },
     "fcf88769754747daac691ae45f2a0ab4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_be3fc795fbb9460daea6d566a0700cf9",
       "placeholder": "​",
       "style": "IPY_MODEL_5e087d5075494d339af42e924f6d5249",
       "value": " 47/48 [00:06&lt;00:00,  5.76it/s, loss=0.019]"
      }
     },
     "e7392813470a45d8b615c347a7ae14c8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "073678cf36334465bebdea76eea0f217": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e9d59085aef2481b94cb6e3f74c77488": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "1c20d16b56a74448aec97714d7c961fa": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d2da1984554f4ed0ba2efbd165a7809c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "be3fc795fbb9460daea6d566a0700cf9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5e087d5075494d339af42e924f6d5249": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "63711d326fdb4508b64e0f30c66c034b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_79fa39f8941644248902ef30efc42375",
        "IPY_MODEL_903996ed0d1a4f87a5c1846c9e4d30a2",
        "IPY_MODEL_09627b7594c54bea9fead0676d09b19a"
       ],
       "layout": "IPY_MODEL_3574c6a33a404c349445c6990a072bef"
      }
     },
     "79fa39f8941644248902ef30efc42375": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_26fb8545ff8e497eab1f915301a2c8a6",
       "placeholder": "​",
       "style": "IPY_MODEL_e6c7195b71b443bb936c5c6bc77a1944",
       "value": "shoes/efficientnet_b0 epoch 9/20:  98%"
      }
     },
     "903996ed0d1a4f87a5c1846c9e4d30a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a6066f908e9e4bb7ae7a8ef04bdff9a1",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_28d8248bf7874f50884448305818bddd",
       "value": 48
      }
     },
     "09627b7594c54bea9fead0676d09b19a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e157cac589f74aa9958eb1f4a765a059",
       "placeholder": "​",
       "style": "IPY_MODEL_52ebc01868dc44ddb07cfc60f7c1acf0",
       "value": " 47/48 [00:07&lt;00:00,  6.56it/s, loss=0.045]"
      }
     },
     "3574c6a33a404c349445c6990a072bef": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "26fb8545ff8e497eab1f915301a2c8a6": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e6c7195b71b443bb936c5c6bc77a1944": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "a6066f908e9e4bb7ae7a8ef04bdff9a1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "28d8248bf7874f50884448305818bddd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "e157cac589f74aa9958eb1f4a765a059": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "52ebc01868dc44ddb07cfc60f7c1acf0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "c7ccf38b001a458abd00e0f91e9f50c1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_b75a96e8b18f4f33a5617e22e4321c8f",
        "IPY_MODEL_29918fe40597421a8dbf8d5162ef08db",
        "IPY_MODEL_bf8646c974c546fb9e706bbece0164fe"
       ],
       "layout": "IPY_MODEL_7a4b6afc9e894be0999156ec8e4c275f"
      }
     },
     "b75a96e8b18f4f33a5617e22e4321c8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_112028aa430341fe9eb864e08fd14d1d",
       "placeholder": "​",
       "style": "IPY_MODEL_25428f835b4a4cbb99675e5ece5190f2",
       "value": "shoes/efficientnet_b0 epoch 10/20:  98%"
      }
     },
     "29918fe40597421a8dbf8d5162ef08db": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_52901853350641c49c6c04b81e9bb810",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_8c840e03de6440dfb89081fc88c3df86",
       "value": 48
      }
     },
     "bf8646c974c546fb9e706bbece0164fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f205a3f1ee76409e881512b17b9543d2",
       "placeholder": "​",
       "style": "IPY_MODEL_e4c249a4c396415e9fd93d8f3c7c3255",
       "value": " 47/48 [00:07&lt;00:00,  7.63it/s, loss=0.003]"
      }
     },
     "7a4b6afc9e894be0999156ec8e4c275f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "112028aa430341fe9eb864e08fd14d1d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "25428f835b4a4cbb99675e5ece5190f2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "52901853350641c49c6c04b81e9bb810": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8c840e03de6440dfb89081fc88c3df86": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "f205a3f1ee76409e881512b17b9543d2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e4c249a4c396415e9fd93d8f3c7c3255": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "82d5e0e8ee454ad3bae383a631c1f0ad": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_7068180735e44ad5a8b7b96ab53cf22c",
        "IPY_MODEL_bc70b19100d8492d8a1135b992fb1e18",
        "IPY_MODEL_5393feddf11a4befb9d5fbb7ced78d6a"
       ],
       "layout": "IPY_MODEL_5273f661253342eb98f0a7d7291b0a1f"
      }
     },
     "7068180735e44ad5a8b7b96ab53cf22c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_59ed876ef42e4c0282f74c54c4c56206",
       "placeholder": "​",
       "style": "IPY_MODEL_3a8f8f5b1503464c8f780fae25442085",
       "value": "shoes/efficientnet_b0 epoch 11/20:  98%"
      }
     },
     "bc70b19100d8492d8a1135b992fb1e18": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_fea5e2bfdcce44e1a0240c0c68773529",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_cdf222df1ce34e96a35ab25ed7056902",
       "value": 48
      }
     },
     "5393feddf11a4befb9d5fbb7ced78d6a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_dadd758412f040c89156b30ed40be8fb",
       "placeholder": "​",
       "style": "IPY_MODEL_ddc56366af7449dc84b8c8a248761fda",
       "value": " 47/48 [00:06&lt;00:00,  7.61it/s, loss=2.450]"
      }
     },
     "5273f661253342eb98f0a7d7291b0a1f": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "59ed876ef42e4c0282f74c54c4c56206": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3a8f8f5b1503464c8f780fae25442085": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "fea5e2bfdcce44e1a0240c0c68773529": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "cdf222df1ce34e96a35ab25ed7056902": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "dadd758412f040c89156b30ed40be8fb": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ddc56366af7449dc84b8c8a248761fda": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "99ce8ce4a36d4a2fb5737ca473fc41c8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_b6007de11b6b4f38addd01e885f326ae",
        "IPY_MODEL_e8317a934d774d17b564b89e1f8d439a",
        "IPY_MODEL_64f2f443b5424e48a647cfe18c6901b2"
       ],
       "layout": "IPY_MODEL_e50c48d52f384ddf9ba7b3e11df7aa1b"
      }
     },
     "b6007de11b6b4f38addd01e885f326ae": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_86baa928d00446aa866b74c0273a4b80",
       "placeholder": "​",
       "style": "IPY_MODEL_4fea81f87c7f48b9af9e39ec57f2cdf5",
       "value": "shoes/efficientnet_b0 epoch 12/20:  98%"
      }
     },
     "e8317a934d774d17b564b89e1f8d439a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_42b424d6215749babb60e1fff17ac54b",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_c4d831471d2f41edb3b725a8e4a58406",
       "value": 48
      }
     },
     "64f2f443b5424e48a647cfe18c6901b2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_efc0a98949ec4749805afe9876696a05",
       "placeholder": "​",
       "style": "IPY_MODEL_3da58c3a955345188d8bc6fbc34363e4",
       "value": " 47/48 [00:06&lt;00:00,  7.87it/s, loss=0.032]"
      }
     },
     "e50c48d52f384ddf9ba7b3e11df7aa1b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "86baa928d00446aa866b74c0273a4b80": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4fea81f87c7f48b9af9e39ec57f2cdf5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "42b424d6215749babb60e1fff17ac54b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c4d831471d2f41edb3b725a8e4a58406": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "efc0a98949ec4749805afe9876696a05": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3da58c3a955345188d8bc6fbc34363e4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "249599db14a9412b9e049b07c3cf1c5a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_75830871ca084b178280e32da3ece7ee",
        "IPY_MODEL_3e5e2febf6ee48b5ade7a12cd9cdcf66",
        "IPY_MODEL_07b5c4325b4143c593e5162133d67021"
       ],
       "layout": "IPY_MODEL_c1a6aeb767254f7ca3e53efe53880756"
      }
     },
     "75830871ca084b178280e32da3ece7ee": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_0c79bcbf5559461aa85359a61640682b",
       "placeholder": "​",
       "style": "IPY_MODEL_643595b6c83e482faf52b436cb96bd1c",
       "value": "shoes/efficientnet_b0 epoch 13/20:  98%"
      }
     },
     "3e5e2febf6ee48b5ade7a12cd9cdcf66": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8f7773bf065d468ba22bc5b56a672579",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_fa35ed5f02154b38a59b19536e4137c6",
       "value": 48
      }
     },
     "07b5c4325b4143c593e5162133d67021": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9081ac6e75ed4a1faae5b4494f3b3a65",
       "placeholder": "​",
       "style": "IPY_MODEL_7d6ad04c13514efbb013b5a7e6302a6f",
       "value": " 47/48 [00:07&lt;00:00,  5.60it/s, loss=0.014]"
      }
     },
     "c1a6aeb767254f7ca3e53efe53880756": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "0c79bcbf5559461aa85359a61640682b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "643595b6c83e482faf52b436cb96bd1c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "8f7773bf065d468ba22bc5b56a672579": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "fa35ed5f02154b38a59b19536e4137c6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9081ac6e75ed4a1faae5b4494f3b3a65": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7d6ad04c13514efbb013b5a7e6302a6f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "a2ce78a5179d4e5684f68d9af7786f75": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_58e19b900f2746b69ff3e292238cbbed",
        "IPY_MODEL_6106fb7028344035ae8750857cf0ada6",
        "IPY_MODEL_00be49da1f5247e09d722de6d250c01d"
       ],
       "layout": "IPY_MODEL_1ca7376ce36941beaec6e93b2632ca30"
      }
     },
     "58e19b900f2746b69ff3e292238cbbed": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5a1316e5e98b44c8a0689216fd79244c",
       "placeholder": "​",
       "style": "IPY_MODEL_1927dbe769974278abe13d042205e6b3",
       "value": "shoes/efficientnet_b0 epoch 14/20:  98%"
      }
     },
     "6106fb7028344035ae8750857cf0ada6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ab428941a0734859a2e6530977c59ce7",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_8eff8ea77aa04fd2a8df73fcfd0c85eb",
       "value": 48
      }
     },
     "00be49da1f5247e09d722de6d250c01d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3d4f107c824342b094d1a35e8d781816",
       "placeholder": "​",
       "style": "IPY_MODEL_782659f64f764d098ab62c162363a5f7",
       "value": " 47/48 [00:06&lt;00:00,  7.89it/s, loss=0.006]"
      }
     },
     "1ca7376ce36941beaec6e93b2632ca30": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "5a1316e5e98b44c8a0689216fd79244c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1927dbe769974278abe13d042205e6b3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ab428941a0734859a2e6530977c59ce7": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8eff8ea77aa04fd2a8df73fcfd0c85eb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "3d4f107c824342b094d1a35e8d781816": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "782659f64f764d098ab62c162363a5f7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b3e3f1f3fd9848de8719f48ef43dac0c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_94e5967740d64eb5bd4b29f8a64da1c6",
        "IPY_MODEL_220c528c2fd24a92bcced86b39bf43b8",
        "IPY_MODEL_a43f991e96e141a49c888640ed426767"
       ],
       "layout": "IPY_MODEL_d3de28b143d44b6bad32a23add6716c2"
      }
     },
     "94e5967740d64eb5bd4b29f8a64da1c6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9cc4252c10824c938a72ed36a7b2526e",
       "placeholder": "​",
       "style": "IPY_MODEL_9a76c372c3b444b6af114e639733dbcf",
       "value": "shoes/yolov8n_cls epoch 1/20: 100%"
      }
     },
     "220c528c2fd24a92bcced86b39bf43b8": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8816e030045941cfb1eeb753f713439d",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_f0416226b3c547b69e80b80b3b9dece3",
       "value": 48
      }
     },
     "a43f991e96e141a49c888640ed426767": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b0a971f82c1e4bf1a882df4dd4a5d42b",
       "placeholder": "​",
       "style": "IPY_MODEL_cf93870e077e49489a08790d9af13b55",
       "value": " 48/48 [00:04&lt;00:00,  7.71it/s, loss=0.019]"
      }
     },
     "d3de28b143d44b6bad32a23add6716c2": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "9cc4252c10824c938a72ed36a7b2526e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9a76c372c3b444b6af114e639733dbcf": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "8816e030045941cfb1eeb753f713439d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f0416226b3c547b69e80b80b3b9dece3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "b0a971f82c1e4bf1a882df4dd4a5d42b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "cf93870e077e49489a08790d9af13b55": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "bad1ac9284a34b068281810b65c4aadb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_d409a2196f92414495ba525e7f96854c",
        "IPY_MODEL_92656c2be58b409b823e08ac0bb5c289",
        "IPY_MODEL_e653840fae6948559f4ec56c72800f22"
       ],
       "layout": "IPY_MODEL_bd7d4cbdc3a148a6b4ab4eaf25a1ecd3"
      }
     },
     "d409a2196f92414495ba525e7f96854c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6005c860efde4ea391fbf75720d7c748",
       "placeholder": "​",
       "style": "IPY_MODEL_b235057e1b354dec8011ee19c3b2ed59",
       "value": "shoes/yolov8n_cls epoch 2/20:  98%"
      }
     },
     "92656c2be58b409b823e08ac0bb5c289": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_684e3fd91f7b451fa49674d46fbd9ceb",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_66ac408b153745a89613c6ca8bd443a4",
       "value": 48
      }
     },
     "e653840fae6948559f4ec56c72800f22": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e70fd68daab34e18b629ab27eb49fd1d",
       "placeholder": "​",
       "style": "IPY_MODEL_c532129b92394ead905127e126128c93",
       "value": " 47/48 [00:04&lt;00:00,  8.40it/s, loss=0.002]"
      }
     },
     "bd7d4cbdc3a148a6b4ab4eaf25a1ecd3": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "6005c860efde4ea391fbf75720d7c748": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b235057e1b354dec8011ee19c3b2ed59": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "684e3fd91f7b451fa49674d46fbd9ceb": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "66ac408b153745a89613c6ca8bd443a4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "e70fd68daab34e18b629ab27eb49fd1d": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c532129b92394ead905127e126128c93": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ba0f3c7a072f49ef8ce9f087aac77546": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_04922daae19443bdbcaf22ade32fa89f",
        "IPY_MODEL_283aa8bedd8449188deb658822239b87",
        "IPY_MODEL_85f90c207d53468eb5c29bb01975b3e2"
       ],
       "layout": "IPY_MODEL_d3f5611e4e3e4a50acb185c7d752521b"
      }
     },
     "04922daae19443bdbcaf22ade32fa89f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6e2f0a7895394711b9f1a81e761023ef",
       "placeholder": "​",
       "style": "IPY_MODEL_5605d74a0ebc481e8dd2bd87d00b68bc",
       "value": "shoes/yolov8n_cls epoch 3/20:  98%"
      }
     },
     "283aa8bedd8449188deb658822239b87": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e390eec7e92b4499bed45e6191b5d202",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_a6cb9eed212046d0828275b7c568d948",
       "value": 48
      }
     },
     "85f90c207d53468eb5c29bb01975b3e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_18aba934b1174a09aa1007d539877e70",
       "placeholder": "​",
       "style": "IPY_MODEL_ec7c8d2feb9c4647a862b3bdc5b5d182",
       "value": " 47/48 [00:04&lt;00:00, 10.79it/s, loss=0.302]"
      }
     },
     "d3f5611e4e3e4a50acb185c7d752521b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "6e2f0a7895394711b9f1a81e761023ef": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5605d74a0ebc481e8dd2bd87d00b68bc": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "e390eec7e92b4499bed45e6191b5d202": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a6cb9eed212046d0828275b7c568d948": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "18aba934b1174a09aa1007d539877e70": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ec7c8d2feb9c4647a862b3bdc5b5d182": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d025fb29c0194eb6b50367f83b7a2cbd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_179cc142cd5d4d2b837625faf60f1160",
        "IPY_MODEL_0719370ff3024af2aee930bb5208ca59",
        "IPY_MODEL_99bb8d8c8ed84aec99d6eca262cbb249"
       ],
       "layout": "IPY_MODEL_0b9c038e8b924b0e9038cc6c8daeb388"
      }
     },
     "179cc142cd5d4d2b837625faf60f1160": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8e5b52c238d4477494ff19a4cdfcb276",
       "placeholder": "​",
       "style": "IPY_MODEL_243ad6946fbd4688a94ca14d20aa64c3",
       "value": "shoes/yolov8n_cls epoch 4/20: 100%"
      }
     },
     "0719370ff3024af2aee930bb5208ca59": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b15f3d873cbb47009e40758baf1e8c68",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_7bac1f70ad40483f81ee15675372cf8f",
       "value": 48
      }
     },
     "99bb8d8c8ed84aec99d6eca262cbb249": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_59c6e57222914f7bb22d130aebf3c122",
       "placeholder": "​",
       "style": "IPY_MODEL_57c51098d9c0451d9aa9a50743e83828",
       "value": " 48/48 [00:05&lt;00:00, 12.16it/s, loss=0.374]"
      }
     },
     "0b9c038e8b924b0e9038cc6c8daeb388": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "8e5b52c238d4477494ff19a4cdfcb276": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "243ad6946fbd4688a94ca14d20aa64c3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b15f3d873cbb47009e40758baf1e8c68": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7bac1f70ad40483f81ee15675372cf8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "59c6e57222914f7bb22d130aebf3c122": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "57c51098d9c0451d9aa9a50743e83828": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b4760e33e65940889482bb4c1ca2f03c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_63f3f36a191f477eae96ace2b4d2c0e1",
        "IPY_MODEL_89832596020349d4967a73297500f908",
        "IPY_MODEL_ff59a8286db14fd3bec2d883620743cb"
       ],
       "layout": "IPY_MODEL_78844cc84dff400f99534d46e2e3b859"
      }
     },
     "63f3f36a191f477eae96ace2b4d2c0e1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e9aaa9834f4f4ac980353ecb61c6a0bd",
       "placeholder": "​",
       "style": "IPY_MODEL_82695e95a4194143a4c13adac30f1429",
       "value": "shoes/yolov8n_cls epoch 5/20: 100%"
      }
     },
     "89832596020349d4967a73297500f908": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_bb206b81188b46cfafb36bbf1317f636",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_bdfbf9c333cb44d3934478fdbe82f34b",
       "value": 48
      }
     },
     "ff59a8286db14fd3bec2d883620743cb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_230e948d59a042e7bc34e9dd1bc9dcd8",
       "placeholder": "​",
       "style": "IPY_MODEL_203946ec75d146038b6e3961adcf604a",
       "value": " 48/48 [00:05&lt;00:00, 11.03it/s, loss=0.119]"
      }
     },
     "78844cc84dff400f99534d46e2e3b859": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "e9aaa9834f4f4ac980353ecb61c6a0bd": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "82695e95a4194143a4c13adac30f1429": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "bb206b81188b46cfafb36bbf1317f636": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bdfbf9c333cb44d3934478fdbe82f34b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "230e948d59a042e7bc34e9dd1bc9dcd8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "203946ec75d146038b6e3961adcf604a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "4e91a1a2329048c5a24eac25ac7c0738": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_1cdd4a1182104aea86b0267dc177ae71",
        "IPY_MODEL_fac2acdbe1eb4e18b9352d50199b4875",
        "IPY_MODEL_c6bf83fe5e3c4aaa99a32a7180b1d0c9"
       ],
       "layout": "IPY_MODEL_344f91a6bba34ff582cfa26907d51220"
      }
     },
     "1cdd4a1182104aea86b0267dc177ae71": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_d9c4b891d89a41a8adf69780bad88230",
       "placeholder": "​",
       "style": "IPY_MODEL_ea96637338fc43ac89569fd6904f7104",
       "value": "shoes/yolov8n_cls epoch 6/20:  98%"
      }
     },
     "fac2acdbe1eb4e18b9352d50199b4875": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ab1ad505186845fa8d447ae283d60ed6",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_d8fb903af0c14439bd3f962b254b19b1",
       "value": 48
      }
     },
     "c6bf83fe5e3c4aaa99a32a7180b1d0c9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f73a83582d4f49f29c60c86f39c896a3",
       "placeholder": "​",
       "style": "IPY_MODEL_6accd7f1fb69465a8ea024f58ddec459",
       "value": " 47/48 [00:05&lt;00:00,  9.52it/s, loss=0.033]"
      }
     },
     "344f91a6bba34ff582cfa26907d51220": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "d9c4b891d89a41a8adf69780bad88230": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ea96637338fc43ac89569fd6904f7104": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ab1ad505186845fa8d447ae283d60ed6": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d8fb903af0c14439bd3f962b254b19b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "f73a83582d4f49f29c60c86f39c896a3": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6accd7f1fb69465a8ea024f58ddec459": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b2703644ba8b4263bb36b8c52b698a83": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_59ee7fc3244543c0a7f8da13b33b4270",
        "IPY_MODEL_eb40028bb01f4d4c94ab0a642d232385",
        "IPY_MODEL_2f09815a305245b99803576b1f2d458c"
       ],
       "layout": "IPY_MODEL_dfd9201aa1604d0f86b024644668c501"
      }
     },
     "59ee7fc3244543c0a7f8da13b33b4270": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_17f93ebe11ac45219d83a8c15f1d81ed",
       "placeholder": "​",
       "style": "IPY_MODEL_04b04ec94bf6455395cf010b9a19c065",
       "value": "shoes/yolov8n_cls epoch 7/20:  98%"
      }
     },
     "eb40028bb01f4d4c94ab0a642d232385": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f6ab01e0f9ae4848a593db70e5e78ccc",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_fb9a5389630142789b168922040d84b0",
       "value": 48
      }
     },
     "2f09815a305245b99803576b1f2d458c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_49c923a05e534d28a9924bf937deaca3",
       "placeholder": "​",
       "style": "IPY_MODEL_6723a71dcb9349979c292feb06d11180",
       "value": " 47/48 [00:04&lt;00:00, 11.08it/s, loss=0.277]"
      }
     },
     "dfd9201aa1604d0f86b024644668c501": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "17f93ebe11ac45219d83a8c15f1d81ed": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "04b04ec94bf6455395cf010b9a19c065": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "f6ab01e0f9ae4848a593db70e5e78ccc": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "fb9a5389630142789b168922040d84b0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "49c923a05e534d28a9924bf937deaca3": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6723a71dcb9349979c292feb06d11180": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "fb51ea6791314402ad3ef942601d5883": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_b3c85f21877744d4b35c315964f336e4",
        "IPY_MODEL_7c9c0c917e794c97b3056ddc6921e252",
        "IPY_MODEL_c0b2a9f8426e417cb3612aa2aaf4941c"
       ],
       "layout": "IPY_MODEL_1f9e86ecd5dd4af2be0656ce474c32ff"
      }
     },
     "b3c85f21877744d4b35c315964f336e4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_35a23df64e04433ca0c729a952e7f2d4",
       "placeholder": "​",
       "style": "IPY_MODEL_c83b68a87909492ebcb07048a0f622d0",
       "value": "shoes/yolov8n_cls epoch 8/20:  98%"
      }
     },
     "7c9c0c917e794c97b3056ddc6921e252": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_05dca2c2d8f142ffaad0fc9c3f336318",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_5837c67ce90f414baae91a4868effcd6",
       "value": 48
      }
     },
     "c0b2a9f8426e417cb3612aa2aaf4941c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c8b0108bfe77497c88104e47c79a06d4",
       "placeholder": "​",
       "style": "IPY_MODEL_59958d8d4507421ca14ef97df65b4f79",
       "value": " 47/48 [00:04&lt;00:00,  9.63it/s, loss=0.027]"
      }
     },
     "1f9e86ecd5dd4af2be0656ce474c32ff": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "35a23df64e04433ca0c729a952e7f2d4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c83b68a87909492ebcb07048a0f622d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "05dca2c2d8f142ffaad0fc9c3f336318": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5837c67ce90f414baae91a4868effcd6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "c8b0108bfe77497c88104e47c79a06d4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "59958d8d4507421ca14ef97df65b4f79": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "6f938b2f2e944eafaed40a183e712b15": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e453979772464ba09b9d78ed0e2802f3",
        "IPY_MODEL_03e1282666774ae1a301e1c036339c62",
        "IPY_MODEL_9339b16cc2af411e9b766dd84e721623"
       ],
       "layout": "IPY_MODEL_32057a7bfbca4cb7bf91a6cdcaa7768b"
      }
     },
     "e453979772464ba09b9d78ed0e2802f3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_71bd0b50b24246fbb0862d17abd86609",
       "placeholder": "​",
       "style": "IPY_MODEL_8e7019c2dda24ecc9bc0f4c78ba278f5",
       "value": "shoes/yolov8n_cls epoch 9/20:  98%"
      }
     },
     "03e1282666774ae1a301e1c036339c62": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3b7d400757384b41a259a082e63b5eb0",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_0438a660c68f42248452f64f262069b7",
       "value": 48
      }
     },
     "9339b16cc2af411e9b766dd84e721623": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c1f9024d28034dcc9200c79d514c1aa5",
       "placeholder": "​",
       "style": "IPY_MODEL_a152423ae61e4892a7dc05766e2de1f4",
       "value": " 47/48 [00:05&lt;00:00, 10.71it/s, loss=0.036]"
      }
     },
     "32057a7bfbca4cb7bf91a6cdcaa7768b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "71bd0b50b24246fbb0862d17abd86609": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8e7019c2dda24ecc9bc0f4c78ba278f5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "3b7d400757384b41a259a082e63b5eb0": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0438a660c68f42248452f64f262069b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "c1f9024d28034dcc9200c79d514c1aa5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a152423ae61e4892a7dc05766e2de1f4": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "3389c28a56d54de1b95e16e792f15e5a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_55bc8b069ef9480ab4e946047efb67ea",
        "IPY_MODEL_7de86e21010a4a08add8a98f5fbff382",
        "IPY_MODEL_bfc2e016e33343b49bb5460a3070e7c6"
       ],
       "layout": "IPY_MODEL_8052c1d8ee654789be19fec0cd80ea40"
      }
     },
     "55bc8b069ef9480ab4e946047efb67ea": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_7f7fff453def48ce905254be4f43d2b5",
       "placeholder": "​",
       "style": "IPY_MODEL_d8e4eca5ba95436e9153bcdba79f52ba",
       "value": "shoes/yolov8n_cls epoch 10/20: 100%"
      }
     },
     "7de86e21010a4a08add8a98f5fbff382": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_706a5a2b064544ad91d8387c986c81f4",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_756a8d2a59784bb3be9f66903ab2acab",
       "value": 48
      }
     },
     "bfc2e016e33343b49bb5460a3070e7c6": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_076aaa50b58f4dc09582ac3691566a17",
       "placeholder": "​",
       "style": "IPY_MODEL_42a6ab3cf41949b59e926463eec8d857",
       "value": " 48/48 [00:04&lt;00:00, 12.48it/s, loss=0.006]"
      }
     },
     "8052c1d8ee654789be19fec0cd80ea40": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "7f7fff453def48ce905254be4f43d2b5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d8e4eca5ba95436e9153bcdba79f52ba": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "706a5a2b064544ad91d8387c986c81f4": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "756a8d2a59784bb3be9f66903ab2acab": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "076aaa50b58f4dc09582ac3691566a17": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "42a6ab3cf41949b59e926463eec8d857": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "eacc6ff2e3134043aa42000465fc4dc1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_f787aaa086ab4298b57567213889ff8f",
        "IPY_MODEL_99b8adfabf6f41e49d5cddac9431f61e",
        "IPY_MODEL_0de7581b027a4e879c9a543e127abcdd"
       ],
       "layout": "IPY_MODEL_94d6ba741ee34f189f025ed198b4dcec"
      }
     },
     "f787aaa086ab4298b57567213889ff8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6d8ac64efecb4b3898f4644b34ec5ad5",
       "placeholder": "​",
       "style": "IPY_MODEL_e142478e8d1348a09c4df626acab3b37",
       "value": "shoes/yolov8n_cls epoch 11/20:  98%"
      }
     },
     "99b8adfabf6f41e49d5cddac9431f61e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e3f7ff16566c45fe94a62652bef7e6a5",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_da4ef44bd04448f3870ffc34bbfb6a0c",
       "value": 48
      }
     },
     "0de7581b027a4e879c9a543e127abcdd": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1883005fa05141b79bff5ae1e442230b",
       "placeholder": "​",
       "style": "IPY_MODEL_a3fb4cbcffe04904b4e616ab6273aae5",
       "value": " 47/48 [00:05&lt;00:00,  7.63it/s, loss=0.511]"
      }
     },
     "94d6ba741ee34f189f025ed198b4dcec": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "6d8ac64efecb4b3898f4644b34ec5ad5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e142478e8d1348a09c4df626acab3b37": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "e3f7ff16566c45fe94a62652bef7e6a5": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "da4ef44bd04448f3870ffc34bbfb6a0c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "1883005fa05141b79bff5ae1e442230b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a3fb4cbcffe04904b4e616ab6273aae5": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d9403073572445f3886c9e29fe42ae85": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e5719be2252046708cb57f7e0cb30cf9",
        "IPY_MODEL_fca18274e0134565bcd45fd3bd677335",
        "IPY_MODEL_aee4eed9fc0c431ca845c3620fb6fa2c"
       ],
       "layout": "IPY_MODEL_124e9fac5bc94f7eb06790ca7c45dcd1"
      }
     },
     "e5719be2252046708cb57f7e0cb30cf9": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4b70ffc6868346328c5bbe96f466af0e",
       "placeholder": "​",
       "style": "IPY_MODEL_9082dbdd45334673bb83235846771661",
       "value": "shoes/yolov8n_cls epoch 12/20: 100%"
      }
     },
     "fca18274e0134565bcd45fd3bd677335": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8202439f446d48898bf146c51e9a2f91",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_9f2cfb099f2944a48bb69d5f77208f4e",
       "value": 48
      }
     },
     "aee4eed9fc0c431ca845c3620fb6fa2c": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_d2c358e493b34c9d92b0ae157e19e340",
       "placeholder": "​",
       "style": "IPY_MODEL_32ff56b9574e44fbbc99174426034d6a",
       "value": " 48/48 [00:05&lt;00:00, 12.43it/s, loss=0.048]"
      }
     },
     "124e9fac5bc94f7eb06790ca7c45dcd1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "4b70ffc6868346328c5bbe96f466af0e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9082dbdd45334673bb83235846771661": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "8202439f446d48898bf146c51e9a2f91": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9f2cfb099f2944a48bb69d5f77208f4e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "d2c358e493b34c9d92b0ae157e19e340": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "32ff56b9574e44fbbc99174426034d6a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "2c53227eda4f48b689a2bf50514aeb07": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_1018395053f940a58b91687e11043496",
        "IPY_MODEL_4d4cb76385ae4f63bfb3697b38b2d9fe",
        "IPY_MODEL_e31308a1eea54595821f0f8c08f567a0"
       ],
       "layout": "IPY_MODEL_2c67015cf9594670a790adb9657ed0dd"
      }
     },
     "1018395053f940a58b91687e11043496": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1502da0101f34b3eb0959ac1df352e45",
       "placeholder": "​",
       "style": "IPY_MODEL_84a5f8204a474de380e6dd1a252452c3",
       "value": "shoes/yolov8n_cls epoch 13/20:  98%"
      }
     },
     "4d4cb76385ae4f63bfb3697b38b2d9fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4d4d55b2232c4f55a4555888093c4b4b",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_e76a3e3ea881476fa3c529f765329b2a",
       "value": 48
      }
     },
     "e31308a1eea54595821f0f8c08f567a0": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_fa72de9606074cfab7e99bc05c057bec",
       "placeholder": "​",
       "style": "IPY_MODEL_3234c9466db74ede8d422890c2598904",
       "value": " 47/48 [00:04&lt;00:00, 10.97it/s, loss=0.003]"
      }
     },
     "2c67015cf9594670a790adb9657ed0dd": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "1502da0101f34b3eb0959ac1df352e45": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "84a5f8204a474de380e6dd1a252452c3": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "4d4d55b2232c4f55a4555888093c4b4b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e76a3e3ea881476fa3c529f765329b2a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "fa72de9606074cfab7e99bc05c057bec": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3234c9466db74ede8d422890c2598904": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "823afb6edd2949d0bbaf92d8f5d9a359": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_842403f3129448c3b362a138cbb43278",
        "IPY_MODEL_40ce26e3205545bbb20261f326637125",
        "IPY_MODEL_d0f41f51d78349b3b26b19db75ab3623"
       ],
       "layout": "IPY_MODEL_46cd541f346543759f9a86d77e33d9d9"
      }
     },
     "842403f3129448c3b362a138cbb43278": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_bded3a80964a435899a3102e513f5ced",
       "placeholder": "​",
       "style": "IPY_MODEL_527effdda8bc421181d332a2b7198004",
       "value": "shoes/yolov8n_cls epoch 14/20:  98%"
      }
     },
     "40ce26e3205545bbb20261f326637125": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a3c1c657809d4318918b69a4ae3d4be9",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_1e05613b791e4bfa802338764d67331e",
       "value": 48
      }
     },
     "d0f41f51d78349b3b26b19db75ab3623": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2b4937a09cc4470b89fa5d820b7d2671",
       "placeholder": "​",
       "style": "IPY_MODEL_3bbf059e32f44e3a94b0e1e1953677eb",
       "value": " 47/48 [00:05&lt;00:00, 10.65it/s, loss=0.002]"
      }
     },
     "46cd541f346543759f9a86d77e33d9d9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "bded3a80964a435899a3102e513f5ced": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "527effdda8bc421181d332a2b7198004": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "a3c1c657809d4318918b69a4ae3d4be9": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1e05613b791e4bfa802338764d67331e": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "2b4937a09cc4470b89fa5d820b7d2671": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3bbf059e32f44e3a94b0e1e1953677eb": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "895bc3317d83411db5d76577eb863055": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_c1ceed8ed1bf415fb23ffde947eb5db7",
        "IPY_MODEL_01ffa4bcfc2244eea9f29ebbe9d75068",
        "IPY_MODEL_1d2f53f7967d4836a064afe3e3954e8b"
       ],
       "layout": "IPY_MODEL_03e3fe8671754ba1a40574993ee5255a"
      }
     },
     "c1ceed8ed1bf415fb23ffde947eb5db7": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_86309262ded24803bcdc99701cdb7fb1",
       "placeholder": "​",
       "style": "IPY_MODEL_809d7036c4ed443fb830191f39bdf182",
       "value": "shoes/yolov8n_cls epoch 15/20: 100%"
      }
     },
     "01ffa4bcfc2244eea9f29ebbe9d75068": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_fd3a7507c2b84b08974c669eff9664af",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_7dd297119b5747c6acc1bb543ced0e3a",
       "value": 48
      }
     },
     "1d2f53f7967d4836a064afe3e3954e8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_44cf3f6321194949b9e6f59d19627ac8",
       "placeholder": "​",
       "style": "IPY_MODEL_b07527e721ec4d79947a7edf3f863434",
       "value": " 48/48 [00:04&lt;00:00, 12.17it/s, loss=0.351]"
      }
     },
     "03e3fe8671754ba1a40574993ee5255a": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "86309262ded24803bcdc99701cdb7fb1": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "809d7036c4ed443fb830191f39bdf182": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "fd3a7507c2b84b08974c669eff9664af": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7dd297119b5747c6acc1bb543ced0e3a": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "44cf3f6321194949b9e6f59d19627ac8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b07527e721ec4d79947a7edf3f863434": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "cea49497effe4aab914cba42ebfac24f": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_60d799d71bc54cdaabfae84a379c1970",
        "IPY_MODEL_309398c9f6614a6381d4ac8f09fc9b53",
        "IPY_MODEL_b802ca2eed3f465887106627eaf0f2d1"
       ],
       "layout": "IPY_MODEL_cdfda3192f9a4702afb2cf6f1df4df85"
      }
     },
     "60d799d71bc54cdaabfae84a379c1970": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_4ea1e5f0eb8443ba9f1d2f6654b5914b",
       "placeholder": "​",
       "style": "IPY_MODEL_f22afef72f73495587bda7f9a06bf8ef",
       "value": "shoes/yolov8n_cls epoch 16/20:  98%"
      }
     },
     "309398c9f6614a6381d4ac8f09fc9b53": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3ee58a0f94994e489743c00ad519d73e",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_052d17734bfb4882ad05c892e83900c2",
       "value": 48
      }
     },
     "b802ca2eed3f465887106627eaf0f2d1": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_2ed80141d56a4669921ce97679df6e8c",
       "placeholder": "​",
       "style": "IPY_MODEL_3bac296a2a6f47e89161406895d9c489",
       "value": " 47/48 [00:04&lt;00:00,  7.63it/s, loss=0.016]"
      }
     },
     "cdfda3192f9a4702afb2cf6f1df4df85": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "4ea1e5f0eb8443ba9f1d2f6654b5914b": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f22afef72f73495587bda7f9a06bf8ef": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "3ee58a0f94994e489743c00ad519d73e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "052d17734bfb4882ad05c892e83900c2": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "2ed80141d56a4669921ce97679df6e8c": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3bac296a2a6f47e89161406895d9c489": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "0ae977df34a149e4845987855dde643d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HBoxModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_61546a6d1cf5405a909bff6847c8b9de",
        "IPY_MODEL_6725e9de57034fc2a4b8313591969d28",
        "IPY_MODEL_3193c68fc7cc4216acc9d464d5cd6f3d"
       ],
       "layout": "IPY_MODEL_f3b1013c59f24817a1e216954c332d41"
      }
     },
     "61546a6d1cf5405a909bff6847c8b9de": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_21334417fe9b4d778a0c6d263d86d62e",
       "placeholder": "​",
       "style": "IPY_MODEL_98261ff9911e4f2e8357b10813b94aaa",
       "value": "shoes/yolov8n_cls epoch 17/20: 100%"
      }
     },
     "6725e9de57034fc2a4b8313591969d28": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "FloatProgressModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_c2eaedce80884da0badcaa717e9e3cf8",
       "max": 48,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_24fc19500d784e9b843bd01466f85fff",
       "value": 48
      }
     },
     "3193c68fc7cc4216acc9d464d5cd6f3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "HTMLModel",
      "model_module_version": "1.5.0",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_47e4f7e519344c8495f8b93a8288b688",
       "placeholder": "​",
       "style": "IPY_MODEL_dbafc24db86f4fe2a2f309fd412c85ee",
       "value": " 48/48 [00:04&lt;00:00, 12.49it/s, loss=0.198]"
      }
     },
     "f3b1013c59f24817a1e216954c332d41": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": "hidden",
       "width": null
      }
     },
     "21334417fe9b4d778a0c6d263d86d62e": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "98261ff9911e4f2e8357b10813b94aaa": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "c2eaedce80884da0badcaa717e9e3cf8": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "24fc19500d784e9b843bd01466f85fff": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "ProgressStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "47e4f7e519344c8495f8b93a8288b688": {
      "model_module": "@jupyter-widgets/base",
      "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "dbafc24db86f4fe2a2f309fd412c85ee": {
      "model_module": "@jupyter-widgets/controls",
      "model_name": "DescriptionStyleModel",
      "model_module_version": "1.5.0",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     }
    }
   }
  }
 },
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "installation"
    ],
    "id": "ppe-002"
   },
   "outputs": [],
   "source": [
    "# Keep the existing torch/torchvision pair to preserve Colab CUDA compatibility.\n",
    "\n",
    "%pip install -q \"ultralytics==8.4.197\" \"scikit-learn>=1.4,<2\" \"pandas>=2,<3\" \"matplotlib>=3.8,<4\" \"pillow>=10\" \"requests>=2.31\" \"tqdm>=4.66\"\n"
   ],
   "id": "ppe-002"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "imports"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ppe-003",
    "outputId": "9030b197-fed9-4bfd-f586-4c484e197a1f"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Python: 3.13.16 | Torch: 2.11.0+cu130\n",
      "Device: cuda\n",
      "GPU: Tesla T4\n"
     ]
    }
   ],
   "source": [
    "import os, sys, json, time, random, hashlib, re, math, shutil, zipfile, warnings\n",
    "from pathlib import Path\n",
    "from collections import defaultdict, Counter\n",
    "from contextlib import nullcontext\n",
    "import importlib.metadata as package_metadata\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image, ImageOps\n",
    "import requests\n",
    "from tqdm.auto import tqdm\n",
    "import torch\n",
    "from torch import nn\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from torchvision import models, transforms\n",
    "from torchvision.transforms import InterpolationMode\n",
    "from ultralytics import YOLO\n",
    "from sklearn.model_selection import GroupShuffleSplit\n",
    "from sklearn.metrics import (accuracy_score, balanced_accuracy_score,\n",
    "    precision_recall_fscore_support, f1_score, classification_report,\n",
    "    confusion_matrix, ConfusionMatrixDisplay, roc_auc_score,\n",
    "    average_precision_score, RocCurveDisplay, PrecisionRecallDisplay)\n",
    "from IPython.display import display, Markdown\n",
    "\n",
    "IN_COLAB = 'google.colab' in sys.modules\n",
    "DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print('Python:', sys.version.split()[0], '| Torch:', torch.__version__)\n",
    "print('Device:', DEVICE)\n",
    "if DEVICE.type == 'cuda':\n",
    "    print('GPU:', torch.cuda.get_device_name(0))\n",
    "else:\n",
    "    print('CPU selected. For Colab, select a GPU runtime before full training.')\n",
    "    torch.set_num_threads(min(8, os.cpu_count() or 1))\n",
    "VERSIONS = {p: package_metadata.version(p) for p in\n",
    "            ['torch','torchvision','ultralytics','numpy','pandas','scikit-learn','pillow']}\n"
   ],
   "id": "ppe-003"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "configuration"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ppe-005",
    "outputId": "496ccdcd-d2d7-40b7-f99e-49d64e06eafc"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Mounted at /content/drive\n",
      "Results: /content/drive/MyDrive/PPE_Classification/runs/baseline_v1_full\n",
      "6 runs; up to 20 epochs each.\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "180"
      ]
     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "source": [
    "USE_GOOGLE_DRIVE = True  # Colab only; local runs use BASE_DIR.\n",
    "if IN_COLAB and USE_GOOGLE_DRIVE:\n",
    "    from google.colab import drive\n",
    "    drive.mount('/content/drive')\n",
    "    BASE_DIR = Path('/content/drive/MyDrive/PPE_Classification')\n",
    "else:\n",
    "    BASE_DIR = Path.cwd() / 'ppe_classification_work'\n",
    "\n",
    "DATA_DIR = (Path('/content/ppe_classification_data') if IN_COLAB\n",
    "            else BASE_DIR / 'data')\n",
    "RUN_MODE = 'full'                   # quick: smoke run; full: comparison budget.\n",
    "EXPERIMENT_NAME = 'baseline_v1'\n",
    "SEED = 42\n",
    "IMAGE_SIZE = 224\n",
    "BATCH_SIZE = 16 if DEVICE.type == 'cuda' else 8\n",
    "NUM_WORKERS = 0                     # Avoid worker-spawn issues in notebook runtimes.\n",
    "EPOCHS = 2 if RUN_MODE == 'quick' else 20\n",
    "WARMUP_EPOCHS = 1 if RUN_MODE == 'quick' else 2\n",
    "PATIENCE = 5\n",
    "HEAD_LR = 1e-3\n",
    "BACKBONE_LR = 1e-4\n",
    "WEIGHT_DECAY = 1e-4\n",
    "TRAIN_CAP_PER_CLASS = 200 if RUN_MODE == 'quick' else None\n",
    "CROP_PADDING = 0.20                 # Padding relative to each box dimension.\n",
    "MIN_BOX_SIDE = 12                   # Reject regions below this pixel size.\n",
    "TEMPORAL_BLOCK_SIZE = 100           # Group consecutive frame indices before splitting.\n",
    "TEMPORAL_GUARD = 10                 # Drop frames near block boundaries.\n",
    "MODEL_NAMES = ['resnet50', 'efficientnet_b0', 'yolov8n_cls']\n",
    "TASK_CLASSES = {'mask': ['mask', 'no_mask'], 'shoes': ['shoes', 'no_shoes']}\n",
    "assert RUN_MODE in {'quick','full'}\n",
    "\n",
    "RUN_DIR = BASE_DIR / 'runs' / f'{EXPERIMENT_NAME}_{RUN_MODE}'\n",
    "for p in [DATA_DIR, RUN_DIR]: p.mkdir(parents=True, exist_ok=True)\n",
    "print('Results:', RUN_DIR)\n",
    "print(f'{len(TASK_CLASSES)*len(MODEL_NAMES)} runs; up to {EPOCHS} epochs each.')\n",
    "\n",
    "def seed_everything(seed):\n",
    "    random.seed(seed); np.random.seed(seed); torch.manual_seed(seed)\n",
    "    if torch.cuda.is_available(): torch.cuda.manual_seed_all(seed)\n",
    "    torch.backends.cudnn.benchmark = False\n",
    "    torch.backends.cudnn.deterministic = True\n",
    "\n",
    "seed_everything(SEED)\n",
    "(RUN_DIR/'environment.json').write_text(json.dumps(VERSIONS, indent=2))\n"
   ],
   "id": "ppe-005"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-006"
   },
   "source": [
    "## Dataset and labels\n",
    "\n",
    "Source: [PPEs v7, Personal Protective Equipment](https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7), distributed through the [keremberke mirror](https://huggingface.co/datasets/keremberke/protective-equipment-detection). Dataset card license: CC BY 4.0. Revision and archive checksums are pinned below.\n",
    "\n",
    "| Original archive | mask | no_mask | shoes | no_shoes |\n",
    "|---|---:|---:|---:|---:|\n",
    "| train | 0 | 0 | 14 | 20 |\n",
    "| valid | 253 | 640 | 639 | 525 |\n",
    "| test | 16 | 21 | 102 | 61 |\n",
    "\n",
    "The original training split has no mask examples. Pool the archives and rebuild grouped splits before training. Results use this revised protocol and are not comparable to the publisher's original split.\n",
    "\n",
    "Negative samples require explicit `no_mask` or `no_shoes` labels. Missing annotations are not negative labels. COCO boxes are `[x, y, width, height]`; crops include relative context around each box.\n"
   ],
   "id": "ppe-006"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "download"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 113,
     "referenced_widgets": [
      "80185e0ff83648bb940f271987ac9796",
      "e50c458feb3149e89c26646dbf119bc6",
      "dc3322c707a94a3abd0b6fbc09582f8a",
      "4c5e0cf15427460490e41de1490128f7",
      "db00308ed5d746cab7eb952936284775",
      "aab1f192342a4074b002fa19b0f627ce",
      "13ab76b00fa8465f83aa0e9187ed15ac",
      "45f4fe5747954720a0d446062499e271",
      "a501c5f7fba643898790b1e500019c4b",
      "3aac40864ca54a04b9a173a3b8bc28ff",
      "8ce489650c6b44369594c5123418e87c",
      "9dba611aa0a147a99113a07415ec9570",
      "fe49f22d87bd4033b1e985dd86f0e537",
      "7a652fe373a74a378bef12e8078b4caf",
      "529266eb4fb142c9a9668f2dae287bd1",
      "5fcaf10a2a684388b26992ca7533de61",
      "2423ebb446e24ab286eb3bc14e999d2a",
      "c8212f56e3ae4dd1ad9007c41b50ca71",
      "b922c21696254fa9bb0f1e758b71cc57",
      "da0b39fff513480095cfe4a768b85df1",
      "bf34797e85d049ccb9f244097ebd97d6",
      "2256f453caab4ea482adf758b1d49456",
      "89d7c668b8f64395ade4ea7f2e228ef5",
      "00c0d41162c342ee831c137a922140ba",
      "3d4a48bd51f640558648f48c23280507",
      "26b4ceecf1434782812a3e1ecf214c44",
      "4354d473fa394a8d9d092701795a5ca0",
      "f1ccb8d8bdf14a03a1e3f9744a8563ae",
      "d9be2b5cdf0643b991c6670273ebf0d4",
      "073c53e97f41464e9a48447666c1d4b1",
      "02c807a9026144efac2fb17c7485c664",
      "77b39bf8dcb5486d99025e6a0f1413aa",
      "42aabb366ed44b01aebbbe374512a058"
     ]
    },
    "id": "ppe-007",
    "outputId": "455bdcbe-d459-4340-fb70-ea1afd206191"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Download train:   0%|          | 0.00/904M [00:00<?, ?B/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "80185e0ff83648bb940f271987ac9796"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Download valid:   0%|          | 0.00/1.13G [00:00<?, ?B/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "9dba611aa0a147a99113a07415ec9570"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Download test:   0%|          | 0.00/245M [00:00<?, ?B/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "89d7c668b8f64395ade4ea7f2e228ef5"
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "DATASET_REPO = 'keremberke/protective-equipment-detection'\n",
    "DATASET_REVISION = '90d2c6da950a6168fcee20ec69e194a034f44eef'\n",
    "ARCHIVES = {\n",
    "    'train': {'bytes':903731317, 'sha256':'e5e3796e56892acf35631767af6138f622eafba875a53996e5618783c575cf39'},\n",
    "    'valid': {'bytes':1125517514, 'sha256':'e86d9e44eb4d13ae81f7b93de75fb8955665f80136911d97262ea61ff3db694c'},\n",
    "    'test': {'bytes':245068886, 'sha256':'16dfeef2e6e14bb188e40d0e856c12c48033e6a61b5b9230eaf53db97d3feb6e'},\n",
    "}\n",
    "\n",
    "def sha256_file(path):\n",
    "    h = hashlib.sha256()\n",
    "    with open(path, 'rb') as f:\n",
    "        for block in iter(lambda: f.read(4*1024*1024), b''): h.update(block)\n",
    "    return h.hexdigest()\n",
    "\n",
    "def download_archive(split):\n",
    "    spec = ARCHIVES[split]\n",
    "    path = DATA_DIR / 'archives' / f'{split}.zip'\n",
    "    path.parent.mkdir(exist_ok=True)\n",
    "    if path.exists() and path.stat().st_size == spec['bytes']:\n",
    "        if sha256_file(path) == spec['sha256']:\n",
    "            print('Verified cached', path.name); return path\n",
    "    partial = path.with_suffix('.zip.part')\n",
    "    url = f'https://huggingface.co/datasets/{DATASET_REPO}/resolve/{DATASET_REVISION}/data/{split}.zip'\n",
    "    for attempt in range(3):\n",
    "        try:\n",
    "            # Restart partial archives; reuse only checksum-verified downloads.\n",
    "            with requests.get(url, params={'download':'true','attempt':attempt},\n",
    "                              stream=True, timeout=(30,120)) as r:\n",
    "                r.raise_for_status()\n",
    "                with open(partial, 'wb') as f, tqdm(total=spec['bytes'], unit='B',\n",
    "                         unit_scale=True, desc=f'Download {split}') as bar:\n",
    "                    for block in r.iter_content(1024*1024):\n",
    "                        if block: f.write(block); bar.update(len(block))\n",
    "            if partial.stat().st_size != spec['bytes'] or sha256_file(partial) != spec['sha256']:\n",
    "                raise ValueError('Archive size/checksum mismatch. Retry the download cell.')\n",
    "            os.replace(partial, path)\n",
    "            return path\n",
    "        except (requests.RequestException, ValueError) as exc:\n",
    "            if attempt == 2: raise RuntimeError(f'Could not download {split}: {exc}') from exc\n",
    "            print(f'Retrying {split}: {exc}')\n",
    "\n",
    "archive_paths = {split: download_archive(split) for split in ARCHIVES}\n"
   ],
   "id": "ppe-007"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-008"
   },
   "source": [
    "## Crop preparation\n",
    "\n",
    "Keep source IDs with every crop. Full-image pixel hashes and crop hashes support duplicate grouping; perceptual hashes are retained for inspection only. They do not establish session independence.\n",
    "\n",
    "Invalid boxes and unreadable images are logged to `crop_issues.csv`. New evaluation data needs independently verified labels.\n"
   ],
   "id": "ppe-008"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "prepare"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 446,
     "referenced_widgets": [
      "475ec5b2e9104c9087445aa7dfba03b0",
      "72cc6e28217a4081856dfad6e8a30f7e",
      "124f5a62fde848f092ef943b7c5a194d",
      "73939147f55b41a1927e890bce25ded1",
      "38d7dd2a8a9f4d36a039bd8699fc0e9f",
      "9435a401bdf24e369b8fb932e0f773fd",
      "a9ca28a227de451e88f3f38decf58a24",
      "c697986385ef4d6ebb5d573a2d41b1c2",
      "d0b1ac5e62cd4cbb94d39b76c186a79d",
      "4a27b85496534a839cb89c4448dc366d",
      "839f8780ee2747679c6a59e06f92df67",
      "e66346cc9d18414e830b6d47a136c327",
      "9bd0014fdbc045069f3aac7851624b7e",
      "7fc3a060c7474bb4803bae7c301bd493",
      "9ba8c4ebceeb420ba2cc0e66e893acac",
      "195b175f122142a0a73480789c8c9b06",
      "f2acf9c83f7645efa0a503f6db16dcc2",
      "561940ab3790457f991ff8bf926f00df",
      "aac722b51572459a8e84b64858c1d0ac",
      "b2cf6d2d9c3446e9b1176019cfb6cd23",
      "0c4620af15b44f458c7ae50391a99b07",
      "215e18ec0b20431f9ec9fdeda14700ff",
      "296d20bb5e4d46b29811ab22668fefa7",
      "4553df15be12451dbf0211c8cbdb5499",
      "e3dfddbb841e43b19eba5b7a55b16e64",
      "2e0ce6ee02e94b8693a4bf6fcc09d529",
      "f7b4ba6284a8404d8a332f16bd166e0d",
      "d551b2d3a4c5460a98c9d494e8a21a46",
      "b906e743ac854d69a3a7639ff90728b9",
      "05e6e46d9c9f44ee9419512a6ecf19b9",
      "70669e6c786e43dabcae186fc5d58403",
      "9e0e250770464afdbd62812cfc345ec5",
      "5d300733a1ae42e4918822e7ae7857cf"
     ]
    },
    "id": "ppe-009",
    "outputId": "88f2ea09-e722-4432-c618-22c0dc64cdb4"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "  original_split  mask  no_mask  no_shoes  shoes\n",
       "0          train     0        0        20     14\n",
       "1          valid   253      640       525    639\n",
       "2           test    16       21        61    102"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-fd55ab37-0a03-448b-9b1f-bfc8b91e10be\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>original_split</th>\n",
       "      <th>mask</th>\n",
       "      <th>no_mask</th>\n",
       "      <th>no_shoes</th>\n",
       "      <th>shoes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>train</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>valid</td>\n",
       "      <td>253</td>\n",
       "      <td>640</td>\n",
       "      <td>525</td>\n",
       "      <td>639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>test</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>61</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fd55ab37-0a03-448b-9b1f-bfc8b91e10be')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-fd55ab37-0a03-448b-9b1f-bfc8b91e10be button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-fd55ab37-0a03-448b-9b1f-bfc8b91e10be');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"display(all_crops\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"original_split\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"train\",\n          \"valid\",\n          \"test\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mask\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 141,\n        \"min\": 0,\n        \"max\": 253,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          253,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"no_mask\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 363,\n        \"min\": 0,\n        \"max\": 640,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          640,\n          21\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"no_shoes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 280,\n        \"min\": 20,\n        \"max\": 525,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          20,\n          525,\n          61\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"shoes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 338,\n        \"min\": 14,\n        \"max\": 639,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          14,\n          639,\n          102\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Crop train:   0%|          | 0/12 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "475ec5b2e9104c9087445aa7dfba03b0"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Crop valid:   0%|          | 0/1226 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "e66346cc9d18414e830b6d47a136c327"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Crop test:   0%|          | 0/91 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "296d20bb5e4d46b29811ab22668fefa7"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Crops: 2291 | skipped boxes/images: 0\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "          crops  source_images\n",
       "label                         \n",
       "mask        269            269\n",
       "no_mask     661            661\n",
       "no_shoes    606            345\n",
       "shoes       755            406"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-dc05a17b-6a60-432b-9488-51d60ee184f1\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crops</th>\n",
       "      <th>source_images</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mask</th>\n",
       "      <td>269</td>\n",
       "      <td>269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_mask</th>\n",
       "      <td>661</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_shoes</th>\n",
       "      <td>606</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shoes</th>\n",
       "      <td>755</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dc05a17b-6a60-432b-9488-51d60ee184f1')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-dc05a17b-6a60-432b-9488-51d60ee184f1 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-dc05a17b-6a60-432b-9488-51d60ee184f1');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"display(all_crops\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"no_mask\",\n          \"shoes\",\n          \"mask\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crops\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 211,\n        \"min\": 269,\n        \"max\": 755,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          661,\n          755,\n          269\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_images\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 170,\n        \"min\": 269,\n        \"max\": 661,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          661,\n          406,\n          269\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "def source_stem(filename):\n",
    "    # Strip the Roboflow export suffix before source grouping.\n",
    "    return Path(filename).name.split('.rf.')[0].lower()\n",
    "\n",
    "def difference_hash(image):\n",
    "    a = np.asarray(image.convert('L').resize((9,8), Image.Resampling.BILINEAR))\n",
    "    bits = (a[:,1:] > a[:,:-1]).ravel()\n",
    "    value = 0\n",
    "    for bit in bits: value = (value << 1) | int(bit)\n",
    "    return f'{value:016x}'\n",
    "\n",
    "def read_coco_records(paths):\n",
    "    records, counts = [], []\n",
    "    wanted = {c for names in TASK_CLASSES.values() for c in names}\n",
    "    for split, path in paths.items():\n",
    "        with zipfile.ZipFile(path) as z:\n",
    "            names = [n for n in z.namelist() if n.endswith('_annotations.coco.json')]\n",
    "            if len(names) != 1: raise ValueError(f'Expected one COCO file in {path}')\n",
    "            ann_file = names[0]; parent = str(Path(ann_file).parent)\n",
    "            coco = json.loads(z.read(ann_file))\n",
    "            categories = {c['id']:c['name'] for c in coco['categories']}\n",
    "            images = {im['id']:im for im in coco['images']}\n",
    "            count = Counter(categories[a['category_id']] for a in coco['annotations'])\n",
    "            counts.append({'original_split':split, **{c:count[c] for c in sorted(wanted)}})\n",
    "            members = set(z.namelist())\n",
    "            for a in coco['annotations']:\n",
    "                label = categories[a['category_id']]\n",
    "                if label not in wanted or a.get('iscrowd',0): continue\n",
    "                im = images[a['image_id']]\n",
    "                member = im['file_name']\n",
    "                if member not in members: member = (Path(parent)/member).as_posix()\n",
    "                if member not in members: raise FileNotFoundError(im['file_name'])\n",
    "                records.append({'archive':split, 'member':member,\n",
    "                    'source_id':f\"{split}:{im['id']}\", 'filename':im['file_name'],\n",
    "                    'annotation_id':str(a['id']), 'label':label, 'bbox':a['bbox']})\n",
    "    return pd.DataFrame(records), pd.DataFrame(counts)\n",
    "\n",
    "def prepare_crops(paths):\n",
    "    crop_dir = DATA_DIR / f'crops_pad{CROP_PADDING}_min{MIN_BOX_SIDE}'\n",
    "    manifest_path = crop_dir / 'manifest.csv'\n",
    "    metadata_path = crop_dir / 'preparation.json'\n",
    "    preparation = {'revision':DATASET_REVISION, 'padding':CROP_PADDING,\n",
    "                   'min_box_side':MIN_BOX_SIDE, 'schema':1}\n",
    "    if manifest_path.exists() and metadata_path.exists():\n",
    "        if json.loads(metadata_path.read_text()) == preparation:\n",
    "            cached = pd.read_csv(manifest_path, dtype={'dhash':str,'pixel_hash':str})\n",
    "            if all(Path(p).exists() for p in cached.crop_path):\n",
    "                _,original_counts = read_coco_records(paths)\n",
    "                display(original_counts)\n",
    "                original_counts.to_csv(RUN_DIR/'original_split_counts.csv',index=False)\n",
    "                print('Using cached crops:',len(cached)); return cached\n",
    "    crop_dir.mkdir(parents=True, exist_ok=True)\n",
    "    records, original_counts = read_coco_records(paths)\n",
    "    display(original_counts)\n",
    "    original_counts.to_csv(RUN_DIR/'original_split_counts.csv', index=False)\n",
    "    prepared, issues = [], []\n",
    "    for split, path in paths.items():\n",
    "        subset = records[records.archive == split]\n",
    "        with zipfile.ZipFile(path) as z:\n",
    "            for source_id, annotations in tqdm(subset.groupby('source_id'), desc=f'Crop {split}'):\n",
    "                try:\n",
    "                    image = Image.open(z.open(annotations.iloc[0].member)).convert('RGB')\n",
    "                    image.load()\n",
    "                except Exception as exc:\n",
    "                    issues.append({'source_id':source_id,'reason':str(exc)}); continue\n",
    "                pix_hash = hashlib.sha256(str(image.size).encode()+image.tobytes()).hexdigest()\n",
    "                dhash = difference_hash(image)\n",
    "                for _, row in annotations.iterrows():\n",
    "                    x,y,w,h = map(float,row.bbox)\n",
    "                    if not np.isfinite([x,y,w,h]).all() or min(w,h) < MIN_BOX_SIDE:\n",
    "                        issues.append({'source_id':source_id,'reason':'small/invalid box'}); continue\n",
    "                    left,top = max(0,math.floor(x-w*CROP_PADDING)), max(0,math.floor(y-h*CROP_PADDING))\n",
    "                    right,bottom = min(image.width,math.ceil(x+w*(1+CROP_PADDING))), min(image.height,math.ceil(y+h*(1+CROP_PADDING)))\n",
    "                    if right <= left or bottom <= top:\n",
    "                        issues.append({'source_id':source_id,'reason':'box outside image'}); continue\n",
    "                    crop_path = crop_dir / f\"{split}_{row.annotation_id}_{row.label}.png\"\n",
    "                    image.crop((left,top,right,bottom)).save(crop_path)\n",
    "                    prepared.append({'source_id':source_id,'archive':split,\n",
    "                        'filename':row.filename, 'source_stem':source_stem(row.filename),\n",
    "                        'annotation_id':row.annotation_id, 'label':row.label,\n",
    "                        'crop_path':str(crop_path.resolve()), 'pixel_hash':pix_hash,\n",
    "                        'dhash':dhash, 'crop_width':right-left,'crop_height':bottom-top})\n",
    "    frame = pd.DataFrame(prepared)\n",
    "    if frame.empty: raise ValueError('No usable crops. Inspect the source annotations.')\n",
    "    frame.to_csv(manifest_path,index=False)\n",
    "    pd.DataFrame(issues, columns=['source_id','reason']).to_csv(RUN_DIR/'crop_issues.csv',index=False)\n",
    "    metadata_path.write_text(json.dumps(preparation,indent=2))\n",
    "    print('Crops:',len(frame),'| skipped boxes/images:',len(issues))\n",
    "    return frame\n",
    "\n",
    "all_crops = prepare_crops(archive_paths)\n",
    "display(all_crops.groupby('label').agg(crops=('label','size'), source_images=('source_id','nunique')))\n"
   ],
   "id": "ppe-009"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-010"
   },
   "source": [
    "## Label review\n",
    "\n",
    "Inspect the sampled regions before training. Some `shoes` annotations depict detached shoes; the label does not establish that a person is wearing protective footwear. `no_mask` is a region label, not a task-specific compliance decision.\n",
    "\n",
    "Workshop use still requires person-to-PPE association, approved task rules, representative data, and an unassessable-view state.\n"
   ],
   "id": "ppe-010"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "preview"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "ppe-011",
    "outputId": "f6a70258-3315-4d10-dbe9-5bf18cb05e72"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1300x1000 with 20 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, axes = plt.subplots(4, 5, figsize=(13,10))\n",
    "for row, label in enumerate(['mask','no_mask','shoes','no_shoes']):\n",
    "    examples = all_crops[all_crops.label == label].sample(\n",
    "        n=min(5, (all_crops.label == label).sum()), random_state=SEED)\n",
    "    for ax in axes[row]: ax.axis('off')\n",
    "    for ax, (_, item) in zip(axes[row], examples.iterrows()):\n",
    "        ax.imshow(Image.open(item.crop_path)); ax.set_title(label)\n",
    "plt.suptitle('Review training labels and region quality',fontsize=16)\n",
    "plt.tight_layout(); plt.savefig(RUN_DIR/'label_examples.png',dpi=150); plt.show()\n"
   ],
   "id": "ppe-011"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-012"
   },
   "source": [
    "## Temporal grouping\n",
    "\n",
    "Protocol: within-recording temporal-block baseline. Keep numbered frames in 100-frame blocks and drop 10 frame numbers on either side of each boundary. Retained blocks have gaps of at least 20 frame numbers; these are filename indices, not timestamps.\n",
    "\n",
    "Merge crops sharing a source image, pre-export filename, decoded full-image pixels, temporal block, or identical crop pixels. A recording can still span multiple splits. Worker and session independence are not established by filenames or perceptual hashes.\n",
    "\n",
    "Optional `BASE_DIR/source_groups.csv` uses `filename,source_group` to merge known recordings or sessions. It cannot split automatic groups. If this leaves insufficient groups, collect more independent data. For workshop evaluation, split by worker/session before cropping.\n"
   ],
   "id": "ppe-012"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "grouping"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 273,
     "referenced_widgets": [
      "0e8b2a27fdd24d01b5589fa593202e5e",
      "923d2a2b631241f4b6235e1c1060dbb7",
      "698e36fed774482fbaac14650ea72dd8",
      "a094b62848c64ca6919096a4315e3ccc",
      "8215a700ac874805aa26a20a9653bcfd",
      "8eca739f492e416694be3b9110129b53",
      "1f6df97c07e94143ad0a9ae90bd12ef5",
      "599a6b19bf6e45119dc28fc1b33021ea",
      "478b0578c6ae4a9f8c6f94b94073f07a",
      "73568c82ef97455088a88180f788865d",
      "ba9749b6b0b34c22987557435d4731d4"
     ]
    },
    "id": "ppe-013",
    "outputId": "cdd4ae4e-d749-4509-beff-ae29b2c468b3"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "Hash crop pixels:   0%|          | 0/1846 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "0e8b2a27fdd24d01b5589fa593202e5e"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Excluded boundary source images: 262\n",
      "Excluded conflicting crops: 0\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "          crops  groups\n",
       "label                  \n",
       "mask        221      11\n",
       "no_mask     518      23\n",
       "no_shoes    465      15\n",
       "shoes       589      16"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-1c06e6b3-75ae-4858-a635-08cb1bb5fad8\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crops</th>\n",
       "      <th>groups</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mask</th>\n",
       "      <td>221</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_mask</th>\n",
       "      <td>518</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_shoes</th>\n",
       "      <td>465</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shoes</th>\n",
       "      <td>589</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1c06e6b3-75ae-4858-a635-08cb1bb5fad8')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-1c06e6b3-75ae-4858-a635-08cb1bb5fad8 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-1c06e6b3-75ae-4858-a635-08cb1bb5fad8');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"display(grouped_crops\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"no_mask\",\n          \"shoes\",\n          \"mask\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crops\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 159,\n        \"min\": 221,\n        \"max\": 589,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          518,\n          589,\n          221\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"groups\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 11,\n        \"max\": 23,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          23,\n          16,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "class UnionFind:\n",
    "    def __init__(self, items): self.parent = {x:x for x in items}\n",
    "    def find(self, x):\n",
    "        while self.parent[x] != x:\n",
    "            self.parent[x] = self.parent[self.parent[x]]\n",
    "            x = self.parent[x]\n",
    "        return x\n",
    "    def union(self, a, b): self.parent[self.find(b)] = self.find(a)\n",
    "\n",
    "def temporal_block(stem):\n",
    "    match = re.match(r'^frame(\\d+)',stem)\n",
    "    if match: family,number = 'frame_family',int(match.group(1))\n",
    "    else:\n",
    "        match = re.match(r'^ppe_data_(\\d+)',stem)\n",
    "        if match: family,number = 'ppe_data',int(match.group(1))\n",
    "        else:\n",
    "            match = re.match(r'^(nvr.*?)[-_](\\d+)(?:_jpg|_png|_jpeg)?$',stem)\n",
    "            if not match: return None,False\n",
    "            family,number = match.group(1),int(match.group(2))\n",
    "    position = number % TEMPORAL_BLOCK_SIZE\n",
    "    discard = position < TEMPORAL_GUARD or position >= TEMPORAL_BLOCK_SIZE-TEMPORAL_GUARD\n",
    "    return f'{family}:block{number//TEMPORAL_BLOCK_SIZE}',discard\n",
    "\n",
    "def group_sources(frame):\n",
    "    boundary_sources = {r.source_id for r in frame.drop_duplicates('source_id').itertuples()\n",
    "                        if temporal_block(r.source_stem)[1]}\n",
    "    frame[frame.source_id.isin(boundary_sources)].to_csv(RUN_DIR/'temporal_guard_exclusions.csv',index=False)\n",
    "    frame = frame[~frame.source_id.isin(boundary_sources)].copy()\n",
    "    sources = frame.drop_duplicates('source_id').copy().reset_index(drop=True)\n",
    "    uf = UnionFind(sources.source_id)\n",
    "    seen = {}\n",
    "    override_path = BASE_DIR/'source_groups.csv'\n",
    "    overrides = {}\n",
    "    if override_path.exists():\n",
    "        custom = pd.read_csv(override_path).dropna(subset=['filename','source_group'])\n",
    "        overrides = dict(zip(custom.filename.astype(str),custom.source_group.astype(str)))\n",
    "    for row in sources.itertuples():\n",
    "        keys = [('name',row.source_stem), ('pixels',row.pixel_hash)]\n",
    "        block,_ = temporal_block(row.source_stem)\n",
    "        if block: keys.append(('temporal_block',block))\n",
    "        if row.filename in overrides: keys.append(('manual',overrides[row.filename]))\n",
    "        for key in keys:\n",
    "            if key in seen: uf.union(row.source_id,seen[key])\n",
    "            else: seen[key] = row.source_id\n",
    "    ids = sources.source_id.tolist()\n",
    "    mapping = {sid:uf.find(sid) for sid in ids}\n",
    "    result = frame.copy(); result['group'] = result.source_id.map(mapping)\n",
    "    # Deduplicate same-label crop pixels.\n",
    "    crop_hashes = {}\n",
    "    for path in tqdm(result.crop_path.unique(),desc='Hash crop pixels'):\n",
    "        with Image.open(path) as im:\n",
    "            crop_hashes[path] = hashlib.sha256(str(im.size).encode()+im.tobytes()).hexdigest()\n",
    "    result['crop_hash'] = result.crop_path.map(crop_hashes)\n",
    "    # Merge source groups connected by identical crops.\n",
    "    crop_seen = {}\n",
    "    for row in result.itertuples():\n",
    "        if row.crop_hash in crop_seen: uf.union(row.source_id,crop_seen[row.crop_hash])\n",
    "        else: crop_seen[row.crop_hash] = row.source_id\n",
    "    result['group'] = result.source_id.map(lambda sid:uf.find(sid))\n",
    "    conflicting = result.groupby('crop_hash').label.nunique()\n",
    "    bad = set(conflicting[conflicting > 1].index)\n",
    "    conflicts = result[result.crop_hash.isin(bad)]\n",
    "    conflicts.to_csv(RUN_DIR/'conflicting_crop_labels.csv',index=False)\n",
    "    result = result[~result.crop_hash.isin(bad)].drop_duplicates(['crop_hash','label']).copy()\n",
    "    print('Excluded boundary source images:',len(boundary_sources))\n",
    "    print('Excluded conflicting crops:',len(conflicts))\n",
    "    return result\n",
    "\n",
    "grouped_crops = group_sources(all_crops)\n",
    "display(grouped_crops.groupby('label').agg(crops=('label','size'),groups=('group','nunique')))\n"
   ],
   "id": "ppe-013"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-014"
   },
   "source": [
    "## Shared train / validation / test split\n",
    "\n",
    "Target proportions: 70 / 15 / 15, with both classes present for each task. Group sizes can prevent exact proportions. The split search uses labels and group sizes only; all six runs share the assignment.\n",
    "\n",
    "Training data supplies class weights. Validation macro F1 selects checkpoints and models. Test predictions do not control early stopping, thresholds, or hyperparameters. Reserve independent workshop sessions for a final deployment evaluation.\n"
   ],
   "id": "ppe-014"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "split"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 631
    },
    "id": "ppe-015",
    "outputId": "287a5d8a-3d67-4c9e-b6c5-51ee1812e576"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "split     train  val  test\n",
       "label                     \n",
       "mask        156   43    22\n",
       "no_mask     317  136    65\n",
       "no_shoes    350   82    33\n",
       "shoes       403   99    87"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-77439ec2-57d2-4e0e-91f5-985f725a7595\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>split</th>\n",
       "      <th>train</th>\n",
       "      <th>val</th>\n",
       "      <th>test</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mask</th>\n",
       "      <td>156</td>\n",
       "      <td>43</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_mask</th>\n",
       "      <td>317</td>\n",
       "      <td>136</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_shoes</th>\n",
       "      <td>350</td>\n",
       "      <td>82</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shoes</th>\n",
       "      <td>403</td>\n",
       "      <td>99</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-77439ec2-57d2-4e0e-91f5-985f725a7595')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-77439ec2-57d2-4e0e-91f5-985f725a7595 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-77439ec2-57d2-4e0e-91f5-985f725a7595');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"plt\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"no_mask\",\n          \"shoes\",\n          \"mask\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"train\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 106,\n        \"min\": 156,\n        \"max\": 403,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          317,\n          403,\n          156\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"val\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38,\n        \"min\": 43,\n        \"max\": 136,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          136,\n          99,\n          43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"test\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29,\n        \"min\": 22,\n        \"max\": 87,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          65,\n          87,\n          22\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Source groups per split: {'test': 6, 'train': 28, 'val': 6}\n",
      "Rows per split: {'train': 0.684, 'val': 0.201, 'test': 0.115}\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "def grouped_three_way_split(frame, attempts=1000):\n",
    "    labels = sorted(frame.label.unique())\n",
    "    if len(labels) != 4: raise ValueError('All four target labels are required.')\n",
    "    if frame.group.nunique() < 3: raise ValueError('Need at least three source blocks/groups.')\n",
    "    for label in labels:\n",
    "        if frame[frame.label == label].group.nunique() < 3:\n",
    "            raise ValueError(f'{label}: fewer than 3 source blocks/groups. Add labelled sources; do not split individual crops randomly.')\n",
    "    target = np.array([0.70,0.15,0.15])\n",
    "    totals = frame.label.value_counts().reindex(labels).to_numpy()\n",
    "    best = None\n",
    "    for attempt in range(attempts):\n",
    "        first = GroupShuffleSplit(n_splits=1,test_size=0.30,random_state=SEED+attempt)\n",
    "        train_idx, hold_idx = next(first.split(frame,groups=frame.group))\n",
    "        hold = frame.iloc[hold_idx]\n",
    "        if hold.group.nunique() < 2: continue\n",
    "        second = GroupShuffleSplit(n_splits=1,test_size=0.5,random_state=SEED+attempt+10000)\n",
    "        val_rel, test_rel = next(second.split(hold,groups=hold.group))\n",
    "        indices = [train_idx,hold_idx[val_rel],hold_idx[test_rel]]\n",
    "        counts = np.array([frame.iloc[idx].label.value_counts().reindex(labels,fill_value=0).to_numpy() for idx in indices])\n",
    "        if (counts < 5).any(): continue\n",
    "        score = np.abs(counts/totals[None,:]-target[:,None]).mean()\n",
    "        if best is None or score < best[0]: best = (score,indices)\n",
    "    if best is None:\n",
    "        raise ValueError('No usable grouped split. Inspect group counts and obtain more independent sources rather than weakening the split.')\n",
    "    result = frame.copy(); result['split'] = ''\n",
    "    for name,idx in zip(['train','val','test'],best[1]):\n",
    "        result.loc[result.index[idx],'split'] = name\n",
    "    assert result.groupby('group').split.nunique().max() == 1\n",
    "    assert result.groupby('source_id').split.nunique().max() == 1\n",
    "    assert result.groupby('pixel_hash').split.nunique().max() == 1\n",
    "    assert result.groupby('crop_hash').split.nunique().max() == 1\n",
    "    return result\n",
    "\n",
    "manifest = grouped_three_way_split(grouped_crops)\n",
    "if TRAIN_CAP_PER_CLASS is not None:\n",
    "    train_small = pd.concat([part.sample(min(len(part),TRAIN_CAP_PER_CLASS),random_state=SEED)\n",
    "        for _,part in manifest[manifest.split == 'train'].groupby('label')])\n",
    "    manifest = pd.concat([train_small,manifest[manifest.split != 'train']]).sort_index()\n",
    "manifest = manifest.reset_index(drop=True)\n",
    "display(pd.crosstab(manifest.label,manifest.split)[['train','val','test']])\n",
    "print('Source groups per split:',manifest.groupby('split').group.nunique().to_dict())\n",
    "print('Rows per split:',manifest.split.value_counts(normalize=True).round(3).to_dict())\n",
    "\n",
    "# Reject resume if the experiment signature has changed.\n",
    "fingerprint_columns = ['source_id','annotation_id','label','crop_hash','group','split']\n",
    "DATA_FINGERPRINT = hashlib.sha256(manifest[fingerprint_columns].to_csv(index=False).encode()).hexdigest()\n",
    "RUN_CONFIG = dict(mode=RUN_MODE,seed=SEED,image_size=IMAGE_SIZE,batch_size=BATCH_SIZE,\n",
    "    epochs=EPOCHS,warmup_epochs=WARMUP_EPOCHS,patience=PATIENCE,head_lr=HEAD_LR,\n",
    "    backbone_lr=BACKBONE_LR,weight_decay=WEIGHT_DECAY,dataset_revision=DATASET_REVISION,\n",
    "    data_fingerprint=DATA_FINGERPRINT,model_names=MODEL_NAMES,classes=TASK_CLASSES,\n",
    "    crop_padding=CROP_PADDING,min_box_side=MIN_BOX_SIDE,temporal_block_size=TEMPORAL_BLOCK_SIZE,\n",
    "    temporal_guard=TEMPORAL_GUARD,split_policy='within_recording_temporal_blocks',\n",
    "    versions=VERSIONS)\n",
    "config_path = RUN_DIR/'run_config.json'\n",
    "if config_path.exists() and json.loads(config_path.read_text()) != RUN_CONFIG:\n",
    "    raise ValueError('This run folder has different settings/data/library versions. Change EXPERIMENT_NAME to keep experiments separate.')\n",
    "config_path.write_text(json.dumps(RUN_CONFIG,indent=2))\n",
    "manifest.to_csv(RUN_DIR/'split_manifest.csv',index=False)\n",
    "fig,ax = plt.subplots(figsize=(8,4))\n",
    "pd.crosstab(manifest.label,manifest.split)[['train','val','test']].plot.bar(ax=ax)\n",
    "ax.set_ylabel('Region crops'); ax.set_title('Actual rebuilt split counts'); plt.xticks(rotation=0)\n",
    "plt.tight_layout(); plt.savefig(RUN_DIR/'split_counts.png',dpi=150); plt.show()\n"
   ],
   "id": "ppe-015"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-016"
   },
   "source": [
    "## Preprocessing\n",
    "\n",
    "Preserve crop aspect ratio and pad to 224 × 224. Training adds horizontal flips and small brightness/contrast changes; validation and test transforms are deterministic.\n",
    "\n",
    "ResNet and EfficientNet use ImageNet normalization. YOLOv8-cls uses inputs in `[0, 1]`. Crop geometry, augmentation policy, optimizer, epoch budget, and split are otherwise shared. Loss weights come from training counts only.\n"
   ],
   "id": "ppe-016"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "models"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ppe-017",
    "outputId": "abe3c9f1-9721-4cf5-fbcf-8a8d153df557"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Data loaders and model factories are ready. No training has started yet.\n"
     ]
    }
   ],
   "source": [
    "class SquarePadResize:\n",
    "    def __init__(self,size): self.size = size\n",
    "    def __call__(self,image):\n",
    "        return ImageOps.pad(image,(self.size,self.size),method=Image.Resampling.BILINEAR,\n",
    "                            color=(114,114,114),centering=(0.5,0.5))\n",
    "\n",
    "def make_transform(model_name,training=False):\n",
    "    steps = [SquarePadResize(IMAGE_SIZE)]\n",
    "    if training:\n",
    "        steps += [transforms.RandomHorizontalFlip(0.5),\n",
    "                  transforms.ColorJitter(brightness=0.15,contrast=0.15,saturation=0.10)]\n",
    "    steps += [transforms.ToTensor()]\n",
    "    if model_name != 'yolov8n_cls':\n",
    "        steps += [transforms.Normalize([0.485,0.456,0.406],[0.229,0.224,0.225])]\n",
    "    return transforms.Compose(steps)\n",
    "\n",
    "class CropDataset(Dataset):\n",
    "    def __init__(self,rows,classes,transform):\n",
    "        self.rows = rows.reset_index(drop=True); self.classes = classes\n",
    "        self.to_id = {c:i for i,c in enumerate(classes)}; self.transform = transform\n",
    "    def __len__(self): return len(self.rows)\n",
    "    def __getitem__(self,index):\n",
    "        row = self.rows.iloc[index]\n",
    "        with Image.open(row.crop_path) as image:\n",
    "            tensor = self.transform(image.convert('RGB'))\n",
    "        return tensor,self.to_id[row.label]\n",
    "\n",
    "def make_loader(rows,task,model_name,training=False,epoch=0):\n",
    "    dataset = CropDataset(rows,TASK_CLASSES[task],make_transform(model_name,training))\n",
    "    generator = torch.Generator().manual_seed(SEED+epoch)\n",
    "    return DataLoader(dataset,batch_size=BATCH_SIZE,shuffle=training,\n",
    "        num_workers=NUM_WORKERS,pin_memory=DEVICE.type=='cuda',generator=generator)\n",
    "\n",
    "def build_model(name,pretrained=True):\n",
    "    if name == 'resnet50':\n",
    "        model = models.resnet50(weights=models.ResNet50_Weights.IMAGENET1K_V2 if pretrained else None)\n",
    "        model.fc = nn.Linear(model.fc.in_features,2)\n",
    "    elif name == 'efficientnet_b0':\n",
    "        model = models.efficientnet_b0(weights=models.EfficientNet_B0_Weights.IMAGENET1K_V1 if pretrained else None)\n",
    "        model.classifier[-1] = nn.Linear(model.classifier[-1].in_features,2)\n",
    "    elif name == 'yolov8n_cls':\n",
    "        # Use pretrained YOLO weights with the shared PyTorch training loop.\n",
    "        \n",
    "        model = YOLO('yolov8n-cls.pt' if pretrained else 'yolov8n-cls.yaml').model\n",
    "        head = model.model[-1]\n",
    "        head.linear = nn.Linear(head.linear.in_features,2)\n",
    "        model.names = {0:'present',1:'missing'}\n",
    "        model.nc = 2\n",
    "    else: raise ValueError(name)\n",
    "    return model.to(DEVICE)\n",
    "\n",
    "def classification_head(model,name):\n",
    "    if name == 'resnet50': return model.fc\n",
    "    if name == 'efficientnet_b0': return model.classifier\n",
    "    return model.model[-1].linear\n",
    "\n",
    "def get_logits(model,images):\n",
    "    output = model(images)\n",
    "    # Eval output includes probabilities and logits.\n",
    "    # Cross-entropy expects logits.\n",
    "    return output[1] if isinstance(output,tuple) else output\n",
    "\n",
    "print('Data loaders and model factories are ready. No training has started yet.')\n"
   ],
   "id": "ppe-017"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-018"
   },
   "source": [
    "## Training and checkpoints\n",
    "\n",
    "AdamW with a frozen-backbone warmup, followed by fine-tuning at a lower backbone learning rate. Reduce learning rate on stalled validation loss. Save the checkpoint with best validation macro F1 and stop after the configured patience.\n",
    "\n",
    "`last.pt` stores epoch-level resume state, optimizer, scheduler, and history. `best.pt` stores validation-selected weights. All three architectures use this notebook's PyTorch checkpoint format, including YOLO; reload with `restore_model()`, not `YOLO('best.pt')`.\n",
    "\n",
    "Equal epoch budgets do not imply equal compute or exhaustive architecture tuning.\n"
   ],
   "id": "ppe-018"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "training_functions"
    ],
    "id": "ppe-019"
   },
   "outputs": [],
   "source": [
    "def atomic_torch_save(payload,path):\n",
    "    temporary = path.with_suffix('.tmp')\n",
    "    torch.save(payload,temporary); os.replace(temporary,path)\n",
    "\n",
    "def load_checkpoint(path):\n",
    "    # Checkpoint loading uses pickle; load trusted files only.\n",
    "    return torch.load(path,map_location='cpu',weights_only=True)\n",
    "\n",
    "def evaluate_loader(model,loader,criterion=None):\n",
    "    model.eval(); all_y,all_prob = [],[]; loss_sum = 0.0\n",
    "    with torch.inference_mode():\n",
    "        for images,labels in loader:\n",
    "            images,labels = images.to(DEVICE),labels.to(DEVICE)\n",
    "            logits = get_logits(model,images)\n",
    "            if criterion is not None: loss_sum += criterion(logits,labels).item()*len(labels)\n",
    "            all_y.extend(labels.cpu().tolist())\n",
    "            all_prob.extend(torch.softmax(logits,dim=1).cpu().numpy().tolist())\n",
    "    y = np.asarray(all_y); probabilities = np.asarray(all_prob)\n",
    "    pred = probabilities.argmax(1)\n",
    "    # Accumulate loss by sample count.\n",
    "    return {'loss':loss_sum/max(1,len(y)), 'accuracy':accuracy_score(y,pred),\n",
    "            'macro_f1':f1_score(y,pred,average='macro',zero_division=0),\n",
    "            'y':y,'probabilities':probabilities,'pred':pred}\n",
    "\n",
    "def train_one(task,name):\n",
    "    seed_everything(SEED)\n",
    "    folder = RUN_DIR/task/name; folder.mkdir(parents=True,exist_ok=True)\n",
    "    last_path,best_path = folder/'last.pt',folder/'best.pt'\n",
    "    metadata_path = folder/'training_summary.json'\n",
    "    if metadata_path.exists() and best_path.exists():\n",
    "        metadata = json.loads(metadata_path.read_text())\n",
    "        print(f'{task}/{name}: already finished ({metadata[\"completed_epochs\"]} epochs).')\n",
    "        return metadata\n",
    "    train_rows = manifest[(manifest.label.isin(TASK_CLASSES[task])) & (manifest.split=='train')]\n",
    "    val_rows = manifest[(manifest.label.isin(TASK_CLASSES[task])) & (manifest.split=='val')]\n",
    "    counts = train_rows.label.value_counts().reindex(TASK_CLASSES[task]).to_numpy()\n",
    "    if (counts <= 0).any(): raise ValueError('Both training classes must be present.')\n",
    "    weights = torch.tensor(counts.sum()/(2*counts),dtype=torch.float32,device=DEVICE)\n",
    "    # Apply class weights per example before averaging.\n",
    "    weighted_loss = nn.CrossEntropyLoss(weight=weights,reduction='none')\n",
    "    train_criterion = lambda logits,y: weighted_loss(logits,y).mean()\n",
    "    val_criterion = nn.CrossEntropyLoss()  # Keep validation loss unweighted.\n",
    "    previous = load_checkpoint(last_path) if last_path.exists() else None\n",
    "    model = build_model(name,pretrained=previous is None)\n",
    "    head = classification_head(model,name)\n",
    "    head_ids = {id(p) for p in head.parameters()}\n",
    "    backbone_params = [p for p in model.parameters() if id(p) not in head_ids]\n",
    "    optimizer = torch.optim.AdamW([\n",
    "        {'params':backbone_params,'lr':BACKBONE_LR},\n",
    "        {'params':list(head.parameters()),'lr':HEAD_LR}],weight_decay=WEIGHT_DECAY)\n",
    "    scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer,mode='min',factor=0.5,patience=2)\n",
    "    scaler = torch.amp.GradScaler('cuda',enabled=DEVICE.type=='cuda')\n",
    "    history, best_score, bad_epochs, start_epoch, elapsed_before = [],-1.0,0,0,0.0\n",
    "    if previous is not None:\n",
    "        if previous['run_config'] != RUN_CONFIG: raise ValueError('Checkpoint configuration does not match.')\n",
    "        model.load_state_dict(previous['model_state'])\n",
    "        optimizer.load_state_dict(previous['optimizer_state'])\n",
    "        # Move restored optimizer state to the active device.\n",
    "        for state in optimizer.state.values():\n",
    "            for key,value in state.items():\n",
    "                if torch.is_tensor(value): state[key] = value.to(DEVICE)\n",
    "        scheduler.load_state_dict(previous['scheduler_state'])\n",
    "        scaler.load_state_dict(previous['scaler_state'])\n",
    "        history = previous['history']; best_score = previous['best_score']\n",
    "        bad_epochs = previous['bad_epochs']; start_epoch = previous['epoch']+1\n",
    "        elapsed_before = previous['training_seconds']\n",
    "        print(f'Resuming {task}/{name} at epoch {start_epoch+1}')\n",
    "    val_loader = make_loader(val_rows,task,name)\n",
    "    start = time.perf_counter()\n",
    "    for epoch in range(start_epoch,EPOCHS):\n",
    "        if bad_epochs >= PATIENCE: break\n",
    "        seed_everything(SEED+epoch)\n",
    "        warmup = epoch < WARMUP_EPOCHS\n",
    "        for p in model.parameters(): p.requires_grad_(not warmup)\n",
    "        for p in head.parameters(): p.requires_grad_(True)\n",
    "        model.train()\n",
    "        if warmup:\n",
    "            model.eval()  # Freeze backbone batch-normalization statistics during warmup.\n",
    "            head.train()\n",
    "        train_loader = make_loader(train_rows,task,name,training=True,epoch=epoch)\n",
    "        loss_total, correct, total = 0.0,0,0\n",
    "        progress = tqdm(train_loader,desc=f'{task}/{name} epoch {epoch+1}/{EPOCHS}',leave=False)\n",
    "        for images,labels in progress:\n",
    "            images,labels = images.to(DEVICE),labels.to(DEVICE)\n",
    "            optimizer.zero_grad(set_to_none=True)\n",
    "            with torch.autocast(device_type=DEVICE.type,enabled=DEVICE.type=='cuda'):\n",
    "                logits = get_logits(model,images); loss = train_criterion(logits,labels)\n",
    "            scaler.scale(loss).backward()\n",
    "            scaler.unscale_(optimizer)\n",
    "            torch.nn.utils.clip_grad_norm_(model.parameters(),5.0)\n",
    "            scaler.step(optimizer); scaler.update()\n",
    "            loss_total += loss.item()*len(labels)\n",
    "            correct += (logits.argmax(1)==labels).sum().item(); total += len(labels)\n",
    "            progress.set_postfix(loss=f'{loss.item():.3f}')\n",
    "        validation = evaluate_loader(model,val_loader,val_criterion)\n",
    "        scheduler.step(validation['loss'])\n",
    "        row = {'epoch':epoch+1,'train_loss':loss_total/total,'train_accuracy':correct/total,\n",
    "               'val_loss':validation['loss'],'val_accuracy':validation['accuracy'],\n",
    "               'val_macro_f1':validation['macro_f1'],'backbone_lr':optimizer.param_groups[0]['lr']}\n",
    "        history.append(row)\n",
    "        improved = validation['macro_f1'] > best_score+1e-6\n",
    "        if improved: best_score = validation['macro_f1']; bad_epochs = 0\n",
    "        else: bad_epochs += 1\n",
    "        payload = {'architecture':name,'task':task,'classes':TASK_CLASSES[task],\n",
    "            'image_size':IMAGE_SIZE,'run_config':RUN_CONFIG,'epoch':epoch,\n",
    "            'model_state':model.state_dict(),'optimizer_state':optimizer.state_dict(),\n",
    "            'scheduler_state':scheduler.state_dict(),'scaler_state':scaler.state_dict(),\n",
    "            'history':history,'best_score':float(best_score),'bad_epochs':bad_epochs,\n",
    "            'training_seconds':elapsed_before+time.perf_counter()-start}\n",
    "        if improved:\n",
    "            best_payload = {k:v for k,v in payload.items() if k not in\n",
    "                            ['optimizer_state','scheduler_state','scaler_state']}\n",
    "            atomic_torch_save(best_payload,best_path)\n",
    "        atomic_torch_save(payload,last_path)\n",
    "        pd.DataFrame(history).to_csv(folder/'history.csv',index=False)\n",
    "        print(f\"{task}/{name}: epoch {epoch+1}, val F1={row['val_macro_f1']:.3f}, val accuracy={row['val_accuracy']:.3f}\" + (' [best]' if improved else ''))\n",
    "    summary = {'task':task,'model':name,'best_val_macro_f1':float(best_score),\n",
    "        'completed_epochs':len(history),'training_seconds':elapsed_before+time.perf_counter()-start,\n",
    "        'parameters':sum(p.numel() for p in model.parameters()),\n",
    "        'best_checkpoint':str(best_path)}\n",
    "    metadata_path.write_text(json.dumps(summary,indent=2))\n",
    "    del model,optimizer,scaler,previous\n",
    "    if DEVICE.type=='cuda': torch.cuda.empty_cache()\n",
    "    return summary\n"
   ],
   "id": "ppe-019"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-020"
   },
   "source": [
    "## Mask training\n",
    "\n",
    "Three independent ImageNet-initialized runs. Resume starts after the last completed epoch. Changing batch size or other saved settings requires a new experiment name.\n"
   ],
   "id": "ppe-020"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "train_mask"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 612,
     "referenced_widgets": [
      "5e0266327d7245ab9f5376149f37b439",
      "f136aec4cac045e3b9b48080fdf92447",
      "f5cdb232b3844aef9db74f4c55dd391b",
      "d65a1d7bbc7b482e9e5799cdaa0b1653",
      "70a06b5c056142f28b72853c0031becf",
      "97e623480bcd4dbfbfcdc49532165a9e",
      "22f235b282784893b76c0d89d1283496",
      "5e4cb8d171124b40b846045dd9b0a80e",
      "05c2bf0eceba41c2b417444af6a3ba56",
      "583cc2968347488d9a4694fc1d520ad4",
      "f1132658520a4e9f970e22f66d8aef7b",
      "29f59f44e62e4080a60a7aca1b18c50d",
      "b6f4faa52e884102a805eb3cf97278ef",
      "570582a4034c4f90b3346649e1496d4f",
      "5738d42bab23460b8b6e069b48011ceb",
      "e429e3b1a5884c81aea81a5338dd0246",
      "01993f56a1d44aadacdd515566834f37",
      "bd8a9d86a69e4766a07414906df40303",
      "7034eaef82da4650a30bf960f1f4016e",
      "79571b755e2643ca8f4c4f73585b0ba7",
      "2c991079140b4a0d96f3b552fac89245",
      "ebab595ada954a9aafb254fb4433c904",
      "62e6d41589c84459a98e60492f77654f",
      "2f9104cf3b7a4c90b32555cd17569173",
      "a881418cc50a4df0b9a004cb33b19242",
      "7f71a8625f1f4a2ca3a4ee57138373f1",
      "ad2b6a42c765417b8dbf3730aafd43b2",
      "9aceb36257e04ffbae8bc37ac9d4c045",
      "3adb0aa7a282415d8ea8f29d243e419c",
      "07ab6af2f49e4d6f9933a3e84df2aedf",
      "8ed39d24e3bc41d89b2ececf94641e79",
      "1718151c46154060ad84e35579514f8a",
      "30f5809e10b9413ca48caeb110a874b4",
      "9f77932b96ec4897ba7dfba6365477cf",
      "edbc23493c5e4a3b967cb0b897ec7197",
      "f112e01b5dcd4a69ae85691846d57cd9",
      "22b00785e51d4e50a93fd93b043997bc",
      "6d089e8456674015a1883986b3154a29",
      "ecc53b7a2691403686f134dbe44b080e",
      "a421c778e3f94d8ab3cc3bc5cfc4e2e0",
      "9435ffcaceb64714b72c1c395b8922ff",
      "0290ef0b7e4d4787a82c230de47b3a01",
      "50281e532f2e465286d3057f86b951fd",
      "dad24d3fbb3c4acb887aad45db657980",
      "00460dcb686a463ab45d297b5e2ab87d",
      "f66f26fa1fda4ef0ae6bbbb975904988",
      "0a7425cdf0524ab6a24a2bc3532fe2d0",
      "8c94c8df536a46a29ad55d180a423cc3",
      "e653aaa15219460284cf5a9b0e3fe2bc",
      "3a4f6682619e49ecbfb06e5e6c1e8bfb",
      "62d8a623189d403d836dd4394295c6ba",
      "5e8006d21a2a42729d9dfe9f027a65e8",
      "76e1e26266ae4db8ae9c8cb7e24cbb3f",
      "d10eaf4286b54f6f9883622cc3240df2",
      "889f342f67b94e30a317275a986bb2a4",
      "279d8f19d51d402e8fbcaba971389bdf",
      "f51e435df3c74dc7afa014aa5e5f82b8",
      "6a5773ad4b014b31833d45f797575964",
      "bcbbd73514ca4ccab49da56abb0412ad",
      "027fea2cfb6d42d2885c83b76c77b68a",
      "e6b30ab5293746fba948af4bee294155",
      "f75af6b30bd7413b8ae14d60e614a833",
      "ac2f5d20e8544ab2bb0180473c9d3809",
      "07ca3fa1482c444489eae6d3a5747e92",
      "9575c3cb661a44a7908b15d590ebbb44",
      "a2bb6e3946904a8f895b2c79667ba66e",
      "37c64e22b6df402c930d7a5599192233",
      "d7722cb0b0674a70950a1dfb86dafe03",
      "ad45b940692d43c2bef32a62410b207a",
      "83a05b6db6734deca311bf6a837fd1b5",
      "56eb5210380c48659e740acb5e7a2ea2",
      "ce5fb3c17e184c6d97efa54cac64b8b6",
      "999845a01aec4907af5e3a3bf54f744c",
      "2fce009e47d741cf9898ec17e9c1ed70",
      "4dc58113621a4434a5f81c610e103cb1",
      "18da49f6dea445c4aed384020f56b82f",
      "261bd226115d44419d74ddda9796444a",
      "0b3fb9b0292744c5b45c4a9150b6d1a4",
      "d16ec724406740eeb1ff5e9bb71b9633",
      "e163d56d1e8143bc8e3cba1097c5a194",
      "61bb6e2d45c944859d59dbf3277b21fb",
      "1cc0e11ca31b4306a1cdc8e227f2c743",
      "594b2e76ef2d4264bb736eebb0edf50c",
      "e5d8be5e0818481d8f27493b1b000796",
      "4bd2639aca0648a5b00b0c153185ccaa",
      "b4bed4ba3c9f47239560796c4edd7e8b",
      "f55b43ab91bd4ea6b864de8c3ddd5151",
      "a28e9d544640486a8693fa98431bf6fd",
      "259336a9a6ae41a1b8b811a2e4435707",
      "b65d1fbdb32e464998044df8ea7eaf75",
      "d8fca84fe3d54e05ad7a4b4dbaac39f6",
      "77612580678c45689a6198b6b2137ce0",
      "6a2f43004f79436a847edebd2a85e1ec",
      "462493cb68f7499ca196f7a9129bae80",
      "714570becb954c1482c0091f95cea77d",
      "b311903591da4ac6a89346702ce2c3e4",
      "8e346b0284164dce8bd06a3d17d3883c",
      "576c85f577634771968b9fa6998ec7e8",
      "a3cba858410940e89cf051acfa8236ca",
      "d5e3210bac1149ff8cd427c1f49e8720",
      "dc0d0ba83a6a48e58307e9cc98fe17d0",
      "ae9213b589f24144a68423d7d1f78b5d",
      "73dc1032c777464283239ffab4ecc733",
      "f296543c940144738e96e0450186ed49",
      "b0c1cc9b19ff4e8e86634affd84e2491",
      "309c3a459b654c39806e62e135a43ef4",
      "358d65b44b614cf3bd39365430c5d5c5",
      "367b61564dc649f3bf147c99ff580577",
      "27eec6baa09f4733b7e4a7d62d21392b",
      "1197c204cb974bdf81292c243c5b63d2",
      "ba1bf20b212842178dd1ffa78680ac8f",
      "44bfe480808442f1aa16841b0ccc770a",
      "e575a319b26d45a89e2eb272771e071a",
      "03292ced7ffc4b97b50a7b944bb1ef87",
      "2350431fde8b46179ff61589817a81ac",
      "9c3cc2afe8e84e11b1a2a5ef0483fc15",
      "e483a0115dfb4942a61ab57ca3f8c5a1",
      "a052723bda544d40ae38ec472fde3471",
      "23ab33e0f0b14cb59d9629740990fc71",
      "9e46f4ddeae0475c859f0bb7f2f522c0",
      "21e82a985fa443bb88807fea650126b5",
      "7bbeb4bca9074eb8be73e87cd0b6041a",
      "3010cc1027c5484591156e96071b65bd",
      "066055d5a0b24b8ba5210059713c3f77",
      "bf13053548c44e65ac7e08fd8eb2f4b7",
      "b1993409f6594143addcf410dda14e0d",
      "32ff64cde8524a698dbf786d140b9458",
      "aa9187f6215b4ff486058d69a8b9aa6d",
      "342598fc139e4f25b2f0ae2d11be186b",
      "381203212510440183e2f74daae31c09",
      "5d7718fd42d6493da44f1f1e1d8dd3cf",
      "da6f6e24967c493e874250be6656667a",
      "2961cc0cd6dc489d9a95c8a1fa81c672",
      "151522dd67b445d7a98a39a79ef3d46d",
      "689d1bdb0cbb4b789041e3272248c90c",
      "449dad7599474426890e7b258c70b2f6",
      "d3e71551c203467d8bbdb25a1868a326",
      "9d41ecb406d84977bebba0551b6f79cb",
      "5e8024d73b854791bc1fcd3319b3cd2b",
      "9a05d3686ba14fb89a66c570cd4e051e",
      "7d8ca53583cf4131b30002e43bd39847",
      "30668fd256eb404185054fa19790dbf9",
      "2b884ecbca674f0fbba32fb6cd08decd",
      "d5530ceaffa641bcaa640afa1f422dec",
      "5ebfba35a8c3404c96d7cb6fe181034e",
      "9a9c1c0e4ca347d5a351ac3b1aac9721",
      "f42ba277b03a48f3b94c3dd47d907313",
      "66976afa5942420ea010997f6e0ea636",
      "6a73415a60464327ad068154a3872100",
      "096df3b47f174b938845ef50c99f4fd2",
      "7e4d3dd667944aa5b8b7e837b4d923f8",
      "5217d7f58b35454aaa0017c518a815b6",
      "25e0d0e9681d4cf381f245fadf01a38b",
      "34b2ece466dc41c7bc898f938e78a52c",
      "fdccda31409d4ba398cbc5f8c5107a07",
      "a0ab8ebf24c348e1959e77824a9d3108",
      "c87bbc1887384c45911b6892048b76ff",
      "3162973939574f7d8f5ff205caae646c",
      "fd40bab6b319492a9c29600a4d158148",
      "869c458c371545f99401fb6accb593ed",
      "9f80b687b1b545b6b9a83c1c9adbeb86",
      "7d10c3e3cd5f49a282e1daf4d565ce6f",
      "ce21a5f2578847528bf64b2f40eff9b9",
      "3838fe4b41e2438dbf3b2a268076f25d",
      "6c8e2e79c60d4b8b87d1bb4125d16532",
      "7bb6e37820674e2593b869ccef130b75",
      "cc904a79cf404a4faa2941b4a71bf5c8",
      "0e29f5604f974d589bd951fa5cafa89d",
      "c69e0c28a3294223a675156d14ab5e4a",
      "bd12c815ec574dbeae3f06cde78598fd",
      "314f985fc67948a0a40ed239ddadaee1",
      "4c5da101d2984447801aeb1807f32869",
      "ced5c45a5a6a4564b1ddd17855a00570",
      "03497c7ccdc44e5ab849bfba5fa906c5",
      "9f31767bb5dd4d77950dfa9ab93ea4f8",
      "bd10d1631381408bbd22a149b755dee1",
      "aef34ae3aded446280875444cecf7fbc",
      "15d8d094c348420fa9a66a6742e80928",
      "11339a56e7084900bbcf916f3e1e4862",
      "8edfcb2ec1b04457ade038b0a0efd77f",
      "48b529c48722455cb637acab2f006aff",
      "1223742a16cc4df5b4211139fdd37fd8",
      "e4922b600df04f86b23442f13e914117",
      "5d9e0f2311aa422e8fc9759c606fdf1f",
      "38b9e73f38224161be5bb6a36022cce5",
      "5f5024f5ceb24bcd93fe24e0e591012e",
      "8f86a286623643918337e53ca5a79acc",
      "cfa9f01ce4af4705b36096394c87087f",
      "89c9749a1d01402ea5ff254033dd9de3",
      "f41ffb3fd3a84d15b9c8a2dbe6061977",
      "126741a3a91542ffbec6f3b7543f9591",
      "d3e34461be7a4bf0a6c32c462fd89c38",
      "08dc8ce6239a4f56909e7e0e4242de3a",
      "6f490288a52241f3a2979a294710d904",
      "fa4ecfebc0c441fcbe1c0338f873bc91",
      "63cb67005c89421386338c92ee8af7c4",
      "6f71d7142b564bab9fd6d8d87a6c42d8",
      "1702b893b6e04149942301485eb82c8d",
      "cfb518f4343047f2bd5d7ba687c6ae40",
      "427b0b4734e243cca8fa0f6719020b8a",
      "1cee14f74eef4af3b8402e653ff6e2f8",
      "4601a9e9a3024e749dd9aeef1407b49d",
      "504313b3601d4394a675bd38a38c3fec",
      "6a5d67b655a64271921285280ef27188",
      "da94ce685b0a48d3a68b0dbbb9746a2c",
      "b28fdb36999d4e1aa87cd93f5babb93d",
      "f11b9d727d09435e93cd2ce627f177fc",
      "462a3b7a0d0b4f5293f41f2a53c02638",
      "a6d801810c1a4c1cae55a977b4322af8",
      "c4a438df7466461e8fab7db76d9a4181",
      "ec2f02b24514472084c89e3bfccf0c08",
      "86152566dd204ad1aec4344adeb1ed0d",
      "eaeedb255f2e4208a09d0e361ca0cb1f",
      "1da8e10e517440748b71ef224f545476",
      "c85599f773f444838963adaa041aa96e",
      "fa7926da8fe6494da4722135f96e5f26",
      "e0ab053fac97430a87c33c22c55f5d2a",
      "dc1bea61825b436a87280cbc91024987",
      "9fa84848e572468d8680ff5848909dde",
      "c15191d694d847d7b96ca15dddb23802",
      "cc33df66128f480c850c63b22769e687",
      "818981f4d88a41fdb35c3487d234216b",
      "7c939027a83d4990b1593da3e06b75a9",
      "a25d634cc8a24f9abb6f88be887a9fcd",
      "cd7fccf1c49e4dd6831b7ba08d2c245f",
      "f5d2a7b555ec4a4a851e6d6bd17a319e",
      "598daa7de99348838a8e50118e14d3a1",
      "37eabc209c9e40a68f2cd00aaafa776e",
      "b21658bcaa3b49209b619eadf776db1f",
      "740cc93eecf24060b933ff42ecd512f4",
      "8129ea9e73c84d539c09a39cf5b7bae0",
      "39b34c82c07b4e70930d0a01748e202b",
      "b1653bafe413466d8542fac3aa1e6a14",
      "8713591a264d47dc9027689f3ee00068",
      "c3b56831eac44696980da5a2c91abf63",
      "a512e520b6ec47eabeb08fa23bd1baef",
      "cbda8cee072542d49cb470b6b65b67e0",
      "0a634fa9284641bdb0171b14d2607548",
      "2fb8b00ce9db4887b56f5ca3d20eecfa",
      "3888bc1935454d33823247bd73a69ef3",
      "226207c9856c4bfd9f2044a857a37315",
      "47aa895771004677bdd7bdc793384ce0"
     ]
    },
    "id": "ppe-021",
    "outputId": "a6e5742b-342d-418b-8332-b19478959403"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Downloading: \"https://download.pytorch.org/models/resnet50-11ad3fa6.pth\" to /root/.cache/torch/hub/checkpoints/resnet50-11ad3fa6.pth\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "100%|██████████| 97.8M/97.8M [00:00<00:00, 208MB/s]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 1/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "5e0266327d7245ab9f5376149f37b439"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 1, val F1=0.992, val accuracy=0.994 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 2/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "29f59f44e62e4080a60a7aca1b18c50d"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 2, val F1=0.992, val accuracy=0.994\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 3/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "62e6d41589c84459a98e60492f77654f"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 3, val F1=0.992, val accuracy=0.994\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 4/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "9f77932b96ec4897ba7dfba6365477cf"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 4, val F1=1.000, val accuracy=1.000 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 5/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "00460dcb686a463ab45d297b5e2ab87d"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 5, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 6/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "279d8f19d51d402e8fbcaba971389bdf"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 6, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 7/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "37c64e22b6df402c930d7a5599192233"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 7, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 8/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "0b3fb9b0292744c5b45c4a9150b6d1a4"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 8, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/resnet50 epoch 9/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "259336a9a6ae41a1b8b811a2e4435707"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/resnet50: epoch 9, val F1=1.000, val accuracy=1.000\n",
      "Downloading: \"https://download.pytorch.org/models/efficientnet_b0_rwightman-7f5810bc.pth\" to /root/.cache/torch/hub/checkpoints/efficientnet_b0_rwightman-7f5810bc.pth\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "100%|██████████| 20.5M/20.5M [00:00<00:00, 206MB/s]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/efficientnet_b0 epoch 1/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "d5e3210bac1149ff8cd427c1f49e8720"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/efficientnet_b0: epoch 1, val F1=1.000, val accuracy=1.000 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/efficientnet_b0 epoch 2/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "ba1bf20b212842178dd1ffa78680ac8f"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/efficientnet_b0: epoch 2, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/efficientnet_b0 epoch 3/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "7bbeb4bca9074eb8be73e87cd0b6041a"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/efficientnet_b0: epoch 3, val F1=0.992, val accuracy=0.994\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/efficientnet_b0 epoch 4/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "2961cc0cd6dc489d9a95c8a1fa81c672"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/efficientnet_b0: epoch 4, val F1=0.992, val accuracy=0.994\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/efficientnet_b0 epoch 5/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "d5530ceaffa641bcaa640afa1f422dec"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/efficientnet_b0: epoch 5, val F1=0.992, val accuracy=0.994\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/efficientnet_b0 epoch 6/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "fdccda31409d4ba398cbc5f8c5107a07"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/efficientnet_b0: epoch 6, val F1=0.992, val accuracy=0.994\n",
      "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-cls.pt to 'yolov8n-cls.pt': 100% ━━━━━━━━━━━━ 5.3MB 253.3MB/s 0.0s\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 1/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "7bb6e37820674e2593b869ccef130b75"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 1, val F1=0.992, val accuracy=0.994 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 2/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "aef34ae3aded446280875444cecf7fbc"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 2, val F1=1.000, val accuracy=1.000 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 3/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "cfa9f01ce4af4705b36096394c87087f"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 3, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 4/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "cfb518f4343047f2bd5d7ba687c6ae40"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 4, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 5/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "c4a438df7466461e8fab7db76d9a4181"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 5, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 6/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "cc33df66128f480c850c63b22769e687"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 6, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "mask/yolov8n_cls epoch 7/20:   0%|          | 0/30 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "39b34c82c07b4e70930d0a01748e202b"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "mask/yolov8n_cls: epoch 7, val F1=1.000, val accuracy=1.000\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "   task            model  best_val_macro_f1  completed_epochs  \\\n",
       "0  mask         resnet50                1.0                 9   \n",
       "1  mask  efficientnet_b0                1.0                 6   \n",
       "2  mask      yolov8n_cls                1.0                 7   \n",
       "\n",
       "   training_seconds  parameters  \\\n",
       "0         79.737932    23512130   \n",
       "1         48.983568     4010110   \n",
       "2         28.344168     1440850   \n",
       "\n",
       "                                     best_checkpoint  \n",
       "0  /content/drive/MyDrive/PPE_Classification/runs...  \n",
       "1  /content/drive/MyDrive/PPE_Classification/runs...  \n",
       "2  /content/drive/MyDrive/PPE_Classification/runs...  "
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-63235204-223f-4db7-8a0c-8f9c769a0782\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>task</th>\n",
       "      <th>model</th>\n",
       "      <th>best_val_macro_f1</th>\n",
       "      <th>completed_epochs</th>\n",
       "      <th>training_seconds</th>\n",
       "      <th>parameters</th>\n",
       "      <th>best_checkpoint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mask</td>\n",
       "      <td>resnet50</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9</td>\n",
       "      <td>79.737932</td>\n",
       "      <td>23512130</td>\n",
       "      <td>/content/drive/MyDrive/PPE_Classification/runs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mask</td>\n",
       "      <td>efficientnet_b0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6</td>\n",
       "      <td>48.983568</td>\n",
       "      <td>4010110</td>\n",
       "      <td>/content/drive/MyDrive/PPE_Classification/runs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mask</td>\n",
       "      <td>yolov8n_cls</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>28.344168</td>\n",
       "      <td>1440850</td>\n",
       "      <td>/content/drive/MyDrive/PPE_Classification/runs...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-63235204-223f-4db7-8a0c-8f9c769a0782')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-63235204-223f-4db7-8a0c-8f9c769a0782 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-63235204-223f-4db7-8a0c-8f9c769a0782');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"display(pd\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"task\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"mask\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"resnet50\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"best_val_macro_f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"completed_epochs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 6,\n        \"max\": 9,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"training_seconds\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25.86224657836366,\n        \"min\": 28.344167750999986,\n        \"max\": 79.73793226099997,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          79.73793226099997\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"parameters\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12069736,\n        \"min\": 1440850,\n        \"max\": 23512130,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          23512130\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"best_checkpoint\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"/content/drive/MyDrive/PPE_Classification/runs/baseline_v1_full/mask/resnet50/best.pt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "mask_training = [train_one('mask',name) for name in MODEL_NAMES]\n",
    "display(pd.DataFrame(mask_training))\n"
   ],
   "id": "ppe-021"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-022"
   },
   "source": [
    "## Footwear training\n",
    "\n",
    "Train separate models from the original pretrained weights. Mask checkpoints are not reused.\n"
   ],
   "id": "ppe-022"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "train_shoes"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 838,
     "referenced_widgets": [
      "2b1ce8860292476ea0bf51280ca321bd",
      "116927771a4e4bca93105e2cef2ad9ac",
      "e719b0fc70a24b62b016eb40116ccc1c",
      "945880fd8aa24a4bbcfcca2f8f0fa278",
      "b14ca5fcebc54176b96a743ac5a68d44",
      "9528d0d481a74365ae233c5da53be176",
      "6d413d2dc99440c6be470a254a5204c3",
      "4a0d99a84b2c4433a68b166d7b4402d0",
      "a2d5d4475ade422888c21b8ad2ca8da7",
      "f01f4f4fc1b54e27b4dc85ebe4be8fd2",
      "122085ee971b40aaab00bf0ae29ee92c",
      "5c0bee811aa54c379fb80995adbb09a9",
      "c5a418c3ec714b2ea0721240565941de",
      "fef50c04518e4396a2d45835d9f7093c",
      "c8ad367a3e3f4a3980572ea69acb08b6",
      "1007fd68b713498a8be10da4812d5ede",
      "29f6fef37c414e04af5b4b9412212cc9",
      "0430b58b7e6b4938b09cc13889b6d230",
      "a53dbb71d4684f8a9ebabb3991e5d5c5",
      "8f4602ba3e3945abb753af0bb8d4f7f6",
      "567ce6aa908b499f8bc6ed2c8fb8e5b8",
      "67732c8c528f4f5ba94eb5aac54451c7",
      "88d55b650e2b4ce7a7072c4040eee4aa",
      "70688ec4e9fb4263975541dd5003ab55",
      "9049cd58057d45fcb067e04aa68eb853",
      "4e84f8241a6846fcb961e4afb43d7e63",
      "cd70dd58e3214b4db7285021a92884b5",
      "2e77a916c33f4494858a67d018a75bc0",
      "90f1aae7433f48e890b9e45ddaf1fd5e",
      "57e09445697f452a8d8c77ed6582b42c",
      "4fa690a025c94f85ad30362c8eabbbde",
      "11f9de6cc1544dce992e6a13351b82fa",
      "0aae658f2aa743bd8961e413c958d776",
      "071395a193d2409fbf83cffac8861dff",
      "7d0fa82bb874425581b717dd2c1f3d13",
      "cf2a5668a8f54f00b76c9a42c4605ad1",
      "effd1394779b4e89bac8305cf7b824f4",
      "355118ac16a84a7f8c9a2787c181d44f",
      "de15d764eb324c56b1aae8f87c6fb35d",
      "e75c42dfe48640948728163df0745801",
      "b5c95ead8323492381669744265ab185",
      "7ada1b5cebe544d2a012db0ea42b4ff5",
      "8af7122e5dff45d9839c39e9fc89350f",
      "88561cb7a07f426b8cdf3ace789eb02b",
      "cc35a093003041308a6210a3a917b139",
      "28882f4736d2485989e2fd0bf32480f9",
      "845e4bff3b8944749210720c9cd4af86",
      "e3bc54c974754b249ad3a2fa8190e4a4",
      "ede7c7d7f7cc4b3e92d605e7ce54ebd8",
      "5696cfbfb3f04e84aa1590f30693f407",
      "c01a6912568f40b281dab5d5514d7b48",
      "b88d5e73de334512884f80e78a4f0602",
      "7f176823cfed498ba4992806b76908fa",
      "8d23881529244603b43819112a978cfe",
      "e592151197404d8c98f2c8e4d15548b7",
      "0e5db202a99348df82892d7014afc3f9",
      "30a50ae14af04745b96b953ebd6a541f",
      "39eb1f4685c14775a7b18bff3dd19a0d",
      "d9f685c490824f45b7eab696a5131b6a",
      "39b426ba3d434b4caf5c73a244210690",
      "abc1279fbad0461dbf28776790ce9eb1",
      "be26db2b331d4afdba106295307b73c4",
      "af4c72d07d964d678adfc8d20fc27b48",
      "4b786dc1f9df4d98aec1bb04ad4fc7ea",
      "74c01a7af5b34b848abb85e7d3337329",
      "6c2e1a9483564de9b5ed4a3f609a2bc8",
      "b27692dd48ab4114bb9d3373a1d669f0",
      "2f78f9621874457eb03f2ab0c9010e69",
      "36ab3998b645413a85ca450ae03f7295",
      "cdd2c5013c364ce2ba84544f1eb29ad9",
      "77e9080ee9024861a4a1e72d79594516",
      "3ef49e1dc1f84a90ae48689571e5adcb",
      "66acea5896f7423b861114918b3e8104",
      "737732c4986140f48d9471c11c5b766e",
      "67281364390b44b48a921ceccdf556fa",
      "6601372615bb4211a293586a2316c75e",
      "6bcce43c204442d9a316bd84d53228fb",
      "4032e77fa3634e16953745e0bb039034",
      "d7d98ce1875d4e9ab0717b5faf2364be",
      "83578348c97f4c698177d2541164218c",
      "2e3270bad8984dcdb00ecf24ed80cf3f",
      "1d269dcf1e8c4e74bc1cdb0f52bc45b4",
      "92345d58c13a4fc3b7f2fc8e1224c571",
      "1dbaf4d7bea84fb686f0c5752e789fe7",
      "5005b107a2714a209e35f14cf7178468",
      "ff631b94712149f39b46a3c49e458493",
      "35232529b16d41498300bb1152dddad4",
      "beaee1f10e8e4465b9b77e4534c1ddb0",
      "994e183c4d5c4d2a9d9ccb9facb8ffc3",
      "54f714ff09504e398a1cf9e960453db7",
      "65cfdcb864884ba1a8098cd8b8347095",
      "0e4497cf6cc947a4a4d11836255a4576",
      "18ccfc9fcc014756a17017eaadab2063",
      "4084f0abf2c241a1a0d4173b60faa413",
      "7e4e17ed4811456381b52321e8ced123",
      "b4f1c7f7ea634189a0366add7a442b8d",
      "429ac160db164b71b28dc6146ba74d39",
      "dcd8fb49902e489c9bc0491437e388ad",
      "fbb5d0b2e7524f99bffe4f42c0bc8289",
      "b1789ccc1e254d14bbdbb2bb198ab5a2",
      "2945bc05659748d28efc907c86778a15",
      "99284c03dc8046ffb3e4b8dd92739f6a",
      "affa4780a02d469e8f1fb6bb0c00108f",
      "f7b3dd214d62468eaaffe33b3f1f613a",
      "8648b7748d4346ea9f4ca149aebec613",
      "3817088025d14bc9827774c95c2702f1",
      "060a4c48a8a04bbfb1124b67ad04dd58",
      "a7b2c39831c1486abbe0c7a8de321ad3",
      "33e0ea0dd6e94ef8b03c2d98624101b9",
      "f8bbd04685614695a4f6bccef140464d",
      "3c6cfed6ae4b4ac59304bb31045eccc7",
      "32b3ceaf44664207a60fefefa69533d7",
      "35b4837ba8c04427800dfa06843c9928",
      "94786a5edb8f470fb9dc0f32c8e67b82",
      "53fbaa67c0864d7c946879bc0eaa394e",
      "c676377dccb6454e81ca296d1266a90d",
      "531ba89119404114b3187a05f15ba656",
      "c5498f2756324ee3ae0aaf9d3af5e7be",
      "ba8369d430394b8f9b4edcd8526836e2",
      "781e2464196b481ab45de8d6fd58249c",
      "dfe79cecc427420f9d916fd98c5eb08d",
      "5bfb7c61aa34430e9403f072298104b8",
      "21979bfe705746079107a2b134bc3f44",
      "cbed68ead1044645b30130ca947c21b9",
      "9371cef879db495c80ce2620825de995",
      "6e5b8ecadfce49528636bf58a46cbf1c",
      "76176b80a9644cfd844b9e75c061ce1c",
      "c7172778427a4d8d8c5a7dc56de9c89f",
      "830340259b6f4d2aae4600c47948264d",
      "7dd1ead0dc2843468e3f7cf4a90a2b33",
      "8d53d3b84cc44519a84f62609301aa85",
      "edca5bc31d7746c1b4c574e00d8c7c71",
      "29fa9d9eefea46d98a395fa53c0d7693",
      "e51dcb72638849c8a6995df485f94e32",
      "ca83e1f44a374cd5909a4bf61973b59c",
      "cb26bce7df3649c6ba0a054390984f91",
      "538d07a66e7d4241b68e5e09c0766112",
      "343ff5231441441ebcf54af01363a6fc",
      "7d05f45059074ff183c93c4f93799db8",
      "f1e6a43241be466c9b47592182fe6b3a",
      "f8c1ccd440f8449080adfd2342efa703",
      "29565fc68a2b486098474929114c278f",
      "f1c271c9a4864af0ba8de1d19f5440b1",
      "34da5803a3424d6da9482c2e17c4c128",
      "0b1abc9f6de648c0b8c11091db250608",
      "e15816f4fc684670a97d8098d6133e2c",
      "60e35d02e7024bbd84bc335918382182",
      "7b96e0cf577f43ec9a1843cfd7b5a258",
      "67b413d5325442a5aa62bdd05b065587",
      "726950c67d6e46118dfd063e31c8debd",
      "605d2f913ef3482ea0eb2c899e2d0e07",
      "ab5d7505dfb94690899c35b99fd566b9",
      "445b88d6c79240e6a4914e288f6b69a0",
      "e4529fe94309424f855574a8fae6a6e4",
      "a5a4c10074414deb8789ac06d960d79a",
      "ec4b665a30df438f875d10f2108c1d7e",
      "1327b2692582472f9cee8430fc172aa1",
      "8b8ac487391b4e1c9a3626ea111aa108",
      "6b5b480304854e80a0cb70de21162e2a",
      "7d8381120d9b44faa3f2391f3ee56fbe",
      "c3b2c92961064923a4a3e5e68578db82",
      "12e60f8d58164801a6691ca7131cf416",
      "ca25d88b37fc44d794f5571d7a5d1d98",
      "e571215c193f48bab575630c84d403e2",
      "65919489de0f4e57841e901faad31fcb",
      "70bf180b064247e5bc25d3b5efcb702d",
      "989854e4348d43a2b6a037d4d71483e2",
      "d43c981e75e545a28db4d5544bca3854",
      "817256e566564b5fbe22270f4993108a",
      "985437f746ae4ecab0a702d482dc8a9a",
      "84f4f95c93f34c58908d56e4fdc1184c",
      "e8a68c2acc4b49a88dfad41d295af957",
      "aece22831d744772b92674c033cf2c18",
      "8eccd6ed50ee447d896c12d805811c03",
      "e3fa3c6c56bb40d6a7556ddb8cb140b1",
      "fa379810f1df447fa50355eb8204b20b",
      "773ed5ee4c474e62844a6aa07c118a4e",
      "096407ac462346f9bfd0029176e4c6bb",
      "a6f487313b6c441d909b2ac3c4e01698",
      "fcf88769754747daac691ae45f2a0ab4",
      "e7392813470a45d8b615c347a7ae14c8",
      "073678cf36334465bebdea76eea0f217",
      "e9d59085aef2481b94cb6e3f74c77488",
      "1c20d16b56a74448aec97714d7c961fa",
      "d2da1984554f4ed0ba2efbd165a7809c",
      "be3fc795fbb9460daea6d566a0700cf9",
      "5e087d5075494d339af42e924f6d5249",
      "63711d326fdb4508b64e0f30c66c034b",
      "79fa39f8941644248902ef30efc42375",
      "903996ed0d1a4f87a5c1846c9e4d30a2",
      "09627b7594c54bea9fead0676d09b19a",
      "3574c6a33a404c349445c6990a072bef",
      "26fb8545ff8e497eab1f915301a2c8a6",
      "e6c7195b71b443bb936c5c6bc77a1944",
      "a6066f908e9e4bb7ae7a8ef04bdff9a1",
      "28d8248bf7874f50884448305818bddd",
      "e157cac589f74aa9958eb1f4a765a059",
      "52ebc01868dc44ddb07cfc60f7c1acf0",
      "c7ccf38b001a458abd00e0f91e9f50c1",
      "b75a96e8b18f4f33a5617e22e4321c8f",
      "29918fe40597421a8dbf8d5162ef08db",
      "bf8646c974c546fb9e706bbece0164fe",
      "7a4b6afc9e894be0999156ec8e4c275f",
      "112028aa430341fe9eb864e08fd14d1d",
      "25428f835b4a4cbb99675e5ece5190f2",
      "52901853350641c49c6c04b81e9bb810",
      "8c840e03de6440dfb89081fc88c3df86",
      "f205a3f1ee76409e881512b17b9543d2",
      "e4c249a4c396415e9fd93d8f3c7c3255",
      "82d5e0e8ee454ad3bae383a631c1f0ad",
      "7068180735e44ad5a8b7b96ab53cf22c",
      "bc70b19100d8492d8a1135b992fb1e18",
      "5393feddf11a4befb9d5fbb7ced78d6a",
      "5273f661253342eb98f0a7d7291b0a1f",
      "59ed876ef42e4c0282f74c54c4c56206",
      "3a8f8f5b1503464c8f780fae25442085",
      "fea5e2bfdcce44e1a0240c0c68773529",
      "cdf222df1ce34e96a35ab25ed7056902",
      "dadd758412f040c89156b30ed40be8fb",
      "ddc56366af7449dc84b8c8a248761fda",
      "99ce8ce4a36d4a2fb5737ca473fc41c8",
      "b6007de11b6b4f38addd01e885f326ae",
      "e8317a934d774d17b564b89e1f8d439a",
      "64f2f443b5424e48a647cfe18c6901b2",
      "e50c48d52f384ddf9ba7b3e11df7aa1b",
      "86baa928d00446aa866b74c0273a4b80",
      "4fea81f87c7f48b9af9e39ec57f2cdf5",
      "42b424d6215749babb60e1fff17ac54b",
      "c4d831471d2f41edb3b725a8e4a58406",
      "efc0a98949ec4749805afe9876696a05",
      "3da58c3a955345188d8bc6fbc34363e4",
      "249599db14a9412b9e049b07c3cf1c5a",
      "75830871ca084b178280e32da3ece7ee",
      "3e5e2febf6ee48b5ade7a12cd9cdcf66",
      "07b5c4325b4143c593e5162133d67021",
      "c1a6aeb767254f7ca3e53efe53880756",
      "0c79bcbf5559461aa85359a61640682b",
      "643595b6c83e482faf52b436cb96bd1c",
      "8f7773bf065d468ba22bc5b56a672579",
      "fa35ed5f02154b38a59b19536e4137c6",
      "9081ac6e75ed4a1faae5b4494f3b3a65",
      "7d6ad04c13514efbb013b5a7e6302a6f",
      "a2ce78a5179d4e5684f68d9af7786f75",
      "58e19b900f2746b69ff3e292238cbbed",
      "6106fb7028344035ae8750857cf0ada6",
      "00be49da1f5247e09d722de6d250c01d",
      "1ca7376ce36941beaec6e93b2632ca30",
      "5a1316e5e98b44c8a0689216fd79244c",
      "1927dbe769974278abe13d042205e6b3",
      "ab428941a0734859a2e6530977c59ce7",
      "8eff8ea77aa04fd2a8df73fcfd0c85eb",
      "3d4f107c824342b094d1a35e8d781816",
      "782659f64f764d098ab62c162363a5f7",
      "b3e3f1f3fd9848de8719f48ef43dac0c",
      "94e5967740d64eb5bd4b29f8a64da1c6",
      "220c528c2fd24a92bcced86b39bf43b8",
      "a43f991e96e141a49c888640ed426767",
      "d3de28b143d44b6bad32a23add6716c2",
      "9cc4252c10824c938a72ed36a7b2526e",
      "9a76c372c3b444b6af114e639733dbcf",
      "8816e030045941cfb1eeb753f713439d",
      "f0416226b3c547b69e80b80b3b9dece3",
      "b0a971f82c1e4bf1a882df4dd4a5d42b",
      "cf93870e077e49489a08790d9af13b55",
      "bad1ac9284a34b068281810b65c4aadb",
      "d409a2196f92414495ba525e7f96854c",
      "92656c2be58b409b823e08ac0bb5c289",
      "e653840fae6948559f4ec56c72800f22",
      "bd7d4cbdc3a148a6b4ab4eaf25a1ecd3",
      "6005c860efde4ea391fbf75720d7c748",
      "b235057e1b354dec8011ee19c3b2ed59",
      "684e3fd91f7b451fa49674d46fbd9ceb",
      "66ac408b153745a89613c6ca8bd443a4",
      "e70fd68daab34e18b629ab27eb49fd1d",
      "c532129b92394ead905127e126128c93",
      "ba0f3c7a072f49ef8ce9f087aac77546",
      "04922daae19443bdbcaf22ade32fa89f",
      "283aa8bedd8449188deb658822239b87",
      "85f90c207d53468eb5c29bb01975b3e2",
      "d3f5611e4e3e4a50acb185c7d752521b",
      "6e2f0a7895394711b9f1a81e761023ef",
      "5605d74a0ebc481e8dd2bd87d00b68bc",
      "e390eec7e92b4499bed45e6191b5d202",
      "a6cb9eed212046d0828275b7c568d948",
      "18aba934b1174a09aa1007d539877e70",
      "ec7c8d2feb9c4647a862b3bdc5b5d182",
      "d025fb29c0194eb6b50367f83b7a2cbd",
      "179cc142cd5d4d2b837625faf60f1160",
      "0719370ff3024af2aee930bb5208ca59",
      "99bb8d8c8ed84aec99d6eca262cbb249",
      "0b9c038e8b924b0e9038cc6c8daeb388",
      "8e5b52c238d4477494ff19a4cdfcb276",
      "243ad6946fbd4688a94ca14d20aa64c3",
      "b15f3d873cbb47009e40758baf1e8c68",
      "7bac1f70ad40483f81ee15675372cf8f",
      "59c6e57222914f7bb22d130aebf3c122",
      "57c51098d9c0451d9aa9a50743e83828",
      "b4760e33e65940889482bb4c1ca2f03c",
      "63f3f36a191f477eae96ace2b4d2c0e1",
      "89832596020349d4967a73297500f908",
      "ff59a8286db14fd3bec2d883620743cb",
      "78844cc84dff400f99534d46e2e3b859",
      "e9aaa9834f4f4ac980353ecb61c6a0bd",
      "82695e95a4194143a4c13adac30f1429",
      "bb206b81188b46cfafb36bbf1317f636",
      "bdfbf9c333cb44d3934478fdbe82f34b",
      "230e948d59a042e7bc34e9dd1bc9dcd8",
      "203946ec75d146038b6e3961adcf604a",
      "4e91a1a2329048c5a24eac25ac7c0738",
      "1cdd4a1182104aea86b0267dc177ae71",
      "fac2acdbe1eb4e18b9352d50199b4875",
      "c6bf83fe5e3c4aaa99a32a7180b1d0c9",
      "344f91a6bba34ff582cfa26907d51220",
      "d9c4b891d89a41a8adf69780bad88230",
      "ea96637338fc43ac89569fd6904f7104",
      "ab1ad505186845fa8d447ae283d60ed6",
      "d8fb903af0c14439bd3f962b254b19b1",
      "f73a83582d4f49f29c60c86f39c896a3",
      "6accd7f1fb69465a8ea024f58ddec459",
      "b2703644ba8b4263bb36b8c52b698a83",
      "59ee7fc3244543c0a7f8da13b33b4270",
      "eb40028bb01f4d4c94ab0a642d232385",
      "2f09815a305245b99803576b1f2d458c",
      "dfd9201aa1604d0f86b024644668c501",
      "17f93ebe11ac45219d83a8c15f1d81ed",
      "04b04ec94bf6455395cf010b9a19c065",
      "f6ab01e0f9ae4848a593db70e5e78ccc",
      "fb9a5389630142789b168922040d84b0",
      "49c923a05e534d28a9924bf937deaca3",
      "6723a71dcb9349979c292feb06d11180",
      "fb51ea6791314402ad3ef942601d5883",
      "b3c85f21877744d4b35c315964f336e4",
      "7c9c0c917e794c97b3056ddc6921e252",
      "c0b2a9f8426e417cb3612aa2aaf4941c",
      "1f9e86ecd5dd4af2be0656ce474c32ff",
      "35a23df64e04433ca0c729a952e7f2d4",
      "c83b68a87909492ebcb07048a0f622d0",
      "05dca2c2d8f142ffaad0fc9c3f336318",
      "5837c67ce90f414baae91a4868effcd6",
      "c8b0108bfe77497c88104e47c79a06d4",
      "59958d8d4507421ca14ef97df65b4f79",
      "6f938b2f2e944eafaed40a183e712b15",
      "e453979772464ba09b9d78ed0e2802f3",
      "03e1282666774ae1a301e1c036339c62",
      "9339b16cc2af411e9b766dd84e721623",
      "32057a7bfbca4cb7bf91a6cdcaa7768b",
      "71bd0b50b24246fbb0862d17abd86609",
      "8e7019c2dda24ecc9bc0f4c78ba278f5",
      "3b7d400757384b41a259a082e63b5eb0",
      "0438a660c68f42248452f64f262069b7",
      "c1f9024d28034dcc9200c79d514c1aa5",
      "a152423ae61e4892a7dc05766e2de1f4",
      "3389c28a56d54de1b95e16e792f15e5a",
      "55bc8b069ef9480ab4e946047efb67ea",
      "7de86e21010a4a08add8a98f5fbff382",
      "bfc2e016e33343b49bb5460a3070e7c6",
      "8052c1d8ee654789be19fec0cd80ea40",
      "7f7fff453def48ce905254be4f43d2b5",
      "d8e4eca5ba95436e9153bcdba79f52ba",
      "706a5a2b064544ad91d8387c986c81f4",
      "756a8d2a59784bb3be9f66903ab2acab",
      "076aaa50b58f4dc09582ac3691566a17",
      "42a6ab3cf41949b59e926463eec8d857",
      "eacc6ff2e3134043aa42000465fc4dc1",
      "f787aaa086ab4298b57567213889ff8f",
      "99b8adfabf6f41e49d5cddac9431f61e",
      "0de7581b027a4e879c9a543e127abcdd",
      "94d6ba741ee34f189f025ed198b4dcec",
      "6d8ac64efecb4b3898f4644b34ec5ad5",
      "e142478e8d1348a09c4df626acab3b37",
      "e3f7ff16566c45fe94a62652bef7e6a5",
      "da4ef44bd04448f3870ffc34bbfb6a0c",
      "1883005fa05141b79bff5ae1e442230b",
      "a3fb4cbcffe04904b4e616ab6273aae5",
      "d9403073572445f3886c9e29fe42ae85",
      "e5719be2252046708cb57f7e0cb30cf9",
      "fca18274e0134565bcd45fd3bd677335",
      "aee4eed9fc0c431ca845c3620fb6fa2c",
      "124e9fac5bc94f7eb06790ca7c45dcd1",
      "4b70ffc6868346328c5bbe96f466af0e",
      "9082dbdd45334673bb83235846771661",
      "8202439f446d48898bf146c51e9a2f91",
      "9f2cfb099f2944a48bb69d5f77208f4e",
      "d2c358e493b34c9d92b0ae157e19e340",
      "32ff56b9574e44fbbc99174426034d6a",
      "2c53227eda4f48b689a2bf50514aeb07",
      "1018395053f940a58b91687e11043496",
      "4d4cb76385ae4f63bfb3697b38b2d9fe",
      "e31308a1eea54595821f0f8c08f567a0",
      "2c67015cf9594670a790adb9657ed0dd",
      "1502da0101f34b3eb0959ac1df352e45",
      "84a5f8204a474de380e6dd1a252452c3",
      "4d4d55b2232c4f55a4555888093c4b4b",
      "e76a3e3ea881476fa3c529f765329b2a",
      "fa72de9606074cfab7e99bc05c057bec",
      "3234c9466db74ede8d422890c2598904",
      "823afb6edd2949d0bbaf92d8f5d9a359",
      "842403f3129448c3b362a138cbb43278",
      "40ce26e3205545bbb20261f326637125",
      "d0f41f51d78349b3b26b19db75ab3623",
      "46cd541f346543759f9a86d77e33d9d9",
      "bded3a80964a435899a3102e513f5ced",
      "527effdda8bc421181d332a2b7198004",
      "a3c1c657809d4318918b69a4ae3d4be9",
      "1e05613b791e4bfa802338764d67331e",
      "2b4937a09cc4470b89fa5d820b7d2671",
      "3bbf059e32f44e3a94b0e1e1953677eb",
      "895bc3317d83411db5d76577eb863055",
      "c1ceed8ed1bf415fb23ffde947eb5db7",
      "01ffa4bcfc2244eea9f29ebbe9d75068",
      "1d2f53f7967d4836a064afe3e3954e8b",
      "03e3fe8671754ba1a40574993ee5255a",
      "86309262ded24803bcdc99701cdb7fb1",
      "809d7036c4ed443fb830191f39bdf182",
      "fd3a7507c2b84b08974c669eff9664af",
      "7dd297119b5747c6acc1bb543ced0e3a",
      "44cf3f6321194949b9e6f59d19627ac8",
      "b07527e721ec4d79947a7edf3f863434",
      "cea49497effe4aab914cba42ebfac24f",
      "60d799d71bc54cdaabfae84a379c1970",
      "309398c9f6614a6381d4ac8f09fc9b53",
      "b802ca2eed3f465887106627eaf0f2d1",
      "cdfda3192f9a4702afb2cf6f1df4df85",
      "4ea1e5f0eb8443ba9f1d2f6654b5914b",
      "f22afef72f73495587bda7f9a06bf8ef",
      "3ee58a0f94994e489743c00ad519d73e",
      "052d17734bfb4882ad05c892e83900c2",
      "2ed80141d56a4669921ce97679df6e8c",
      "3bac296a2a6f47e89161406895d9c489",
      "0ae977df34a149e4845987855dde643d",
      "61546a6d1cf5405a909bff6847c8b9de",
      "6725e9de57034fc2a4b8313591969d28",
      "3193c68fc7cc4216acc9d464d5cd6f3d",
      "f3b1013c59f24817a1e216954c332d41",
      "21334417fe9b4d778a0c6d263d86d62e",
      "98261ff9911e4f2e8357b10813b94aaa",
      "c2eaedce80884da0badcaa717e9e3cf8",
      "24fc19500d784e9b843bd01466f85fff",
      "47e4f7e519344c8495f8b93a8288b688",
      "dbafc24db86f4fe2a2f309fd412c85ee"
     ]
    },
    "id": "ppe-023",
    "outputId": "c9d7140c-20dc-4486-dc8e-f4118266a0dd"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 1/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "2b1ce8860292476ea0bf51280ca321bd"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 1, val F1=0.932, val accuracy=0.934 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 2/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "5c0bee811aa54c379fb80995adbb09a9"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 2, val F1=0.949, val accuracy=0.950 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 3/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "88d55b650e2b4ce7a7072c4040eee4aa"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 3, val F1=0.961, val accuracy=0.961 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 4/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "071395a193d2409fbf83cffac8861dff"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 4, val F1=0.989, val accuracy=0.989 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 5/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "cc35a093003041308a6210a3a917b139"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 5, val F1=0.983, val accuracy=0.983\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 6/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "0e5db202a99348df82892d7014afc3f9"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 6, val F1=0.966, val accuracy=0.967\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 7/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "b27692dd48ab4114bb9d3373a1d669f0"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 7, val F1=0.972, val accuracy=0.972\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 8/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "4032e77fa3634e16953745e0bb039034"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 8, val F1=0.972, val accuracy=0.972\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/resnet50 epoch 9/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "994e183c4d5c4d2a9d9ccb9facb8ffc3"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/resnet50: epoch 9, val F1=0.972, val accuracy=0.972\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 1/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "b1789ccc1e254d14bbdbb2bb198ab5a2"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 1, val F1=0.932, val accuracy=0.934 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 2/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "3c6cfed6ae4b4ac59304bb31045eccc7"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 2, val F1=0.949, val accuracy=0.950 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 3/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "5bfb7c61aa34430e9403f072298104b8"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 3, val F1=0.961, val accuracy=0.961 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 4/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "29fa9d9eefea46d98a395fa53c0d7693"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 4, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 5/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "34da5803a3424d6da9482c2e17c4c128"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 5, val F1=0.972, val accuracy=0.972 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 6/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "a5a4c10074414deb8789ac06d960d79a"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 6, val F1=0.966, val accuracy=0.967\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 7/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "70bf180b064247e5bc25d3b5efcb702d"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 7, val F1=0.983, val accuracy=0.983 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 8/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "773ed5ee4c474e62844a6aa07c118a4e"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 8, val F1=0.994, val accuracy=0.994 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 9/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "63711d326fdb4508b64e0f30c66c034b"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 9, val F1=1.000, val accuracy=1.000 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 10/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "c7ccf38b001a458abd00e0f91e9f50c1"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 10, val F1=0.994, val accuracy=0.994\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 11/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "82d5e0e8ee454ad3bae383a631c1f0ad"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 11, val F1=0.978, val accuracy=0.978\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 12/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "99ce8ce4a36d4a2fb5737ca473fc41c8"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 12, val F1=0.989, val accuracy=0.989\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 13/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "249599db14a9412b9e049b07c3cf1c5a"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 13, val F1=0.989, val accuracy=0.989\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/efficientnet_b0 epoch 14/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "a2ce78a5179d4e5684f68d9af7786f75"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/efficientnet_b0: epoch 14, val F1=0.989, val accuracy=0.989\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 1/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "b3e3f1f3fd9848de8719f48ef43dac0c"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 1, val F1=0.926, val accuracy=0.928 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 2/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "bad1ac9284a34b068281810b65c4aadb"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 2, val F1=0.949, val accuracy=0.950 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 3/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "ba0f3c7a072f49ef8ce9f087aac77546"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 3, val F1=0.949, val accuracy=0.950\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 4/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "d025fb29c0194eb6b50367f83b7a2cbd"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 4, val F1=0.955, val accuracy=0.956 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 5/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "b4760e33e65940889482bb4c1ca2f03c"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 5, val F1=0.955, val accuracy=0.956\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 6/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "4e91a1a2329048c5a24eac25ac7c0738"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 6, val F1=0.955, val accuracy=0.956\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 7/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "b2703644ba8b4263bb36b8c52b698a83"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 7, val F1=0.966, val accuracy=0.967 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 8/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "fb51ea6791314402ad3ef942601d5883"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 8, val F1=0.966, val accuracy=0.967\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 9/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "6f938b2f2e944eafaed40a183e712b15"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 9, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 10/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "3389c28a56d54de1b95e16e792f15e5a"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 10, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 11/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "eacc6ff2e3134043aa42000465fc4dc1"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 11, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 12/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "d9403073572445f3886c9e29fe42ae85"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 12, val F1=0.972, val accuracy=0.972 [best]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 13/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "2c53227eda4f48b689a2bf50514aeb07"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 13, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 14/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "823afb6edd2949d0bbaf92d8f5d9a359"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 14, val F1=0.966, val accuracy=0.967\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 15/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "895bc3317d83411db5d76577eb863055"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 15, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 16/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "cea49497effe4aab914cba42ebfac24f"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 16, val F1=0.972, val accuracy=0.972\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "shoes/yolov8n_cls epoch 17/20:   0%|          | 0/48 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "0ae977df34a149e4845987855dde643d"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes/yolov8n_cls: epoch 17, val F1=0.961, val accuracy=0.961\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "    task            model  best_val_macro_f1  completed_epochs  \\\n",
       "0  shoes         resnet50           0.988827                 9   \n",
       "1  shoes  efficientnet_b0           1.000000                14   \n",
       "2  shoes      yolov8n_cls           0.971961                17   \n",
       "\n",
       "   training_seconds  parameters  \\\n",
       "0        105.246278    23512130   \n",
       "1        127.559345     4010110   \n",
       "2         95.379824     1440850   \n",
       "\n",
       "                                     best_checkpoint  \n",
       "0  /content/drive/MyDrive/PPE_Classification/runs...  \n",
       "1  /content/drive/MyDrive/PPE_Classification/runs...  \n",
       "2  /content/drive/MyDrive/PPE_Classification/runs...  "
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-523e94a9-5c63-43a2-b67d-41cbdd222774\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>task</th>\n",
       "      <th>model</th>\n",
       "      <th>best_val_macro_f1</th>\n",
       "      <th>completed_epochs</th>\n",
       "      <th>training_seconds</th>\n",
       "      <th>parameters</th>\n",
       "      <th>best_checkpoint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>shoes</td>\n",
       "      <td>resnet50</td>\n",
       "      <td>0.988827</td>\n",
       "      <td>9</td>\n",
       "      <td>105.246278</td>\n",
       "      <td>23512130</td>\n",
       "      <td>/content/drive/MyDrive/PPE_Classification/runs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>shoes</td>\n",
       "      <td>efficientnet_b0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>14</td>\n",
       "      <td>127.559345</td>\n",
       "      <td>4010110</td>\n",
       "      <td>/content/drive/MyDrive/PPE_Classification/runs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shoes</td>\n",
       "      <td>yolov8n_cls</td>\n",
       "      <td>0.971961</td>\n",
       "      <td>17</td>\n",
       "      <td>95.379824</td>\n",
       "      <td>1440850</td>\n",
       "      <td>/content/drive/MyDrive/PPE_Classification/runs...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-523e94a9-5c63-43a2-b67d-41cbdd222774')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-523e94a9-5c63-43a2-b67d-41cbdd222774 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-523e94a9-5c63-43a2-b67d-41cbdd222774');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"display(pd\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"task\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"shoes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"resnet50\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"best_val_macro_f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.014115263869922864,\n        \"min\": 0.9719614586237879,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.9888271604938271\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"completed_epochs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 9,\n        \"max\": 17,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"training_seconds\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.486061929377538,\n        \"min\": 95.37982437300002,\n        \"max\": 127.55934516299999,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          105.24627816199995\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"parameters\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12069736,\n        \"min\": 1440850,\n        \"max\": 23512130,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          23512130\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"best_checkpoint\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"/content/drive/MyDrive/PPE_Classification/runs/baseline_v1_full/shoes/resnet50/best.pt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "shoe_training = [train_one('shoes',name) for name in MODEL_NAMES]\n",
    "display(pd.DataFrame(shoe_training))\n"
   ],
   "id": "ppe-023"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-024"
   },
   "source": [
    "## Learning curves\n",
    "\n",
    "Training metrics use augmented crops; validation metrics use deterministic held-out crops. Training loss is class-weighted, while validation loss is unweighted. The dashed line marks the saved validation-F1 checkpoint.\n"
   ],
   "id": "ppe-024"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "learning_curves"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "ppe-025",
    "outputId": "2174c780-9865-4cdd-ffe1-79473506f352"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1400x1050 with 9 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1400x1050 with 9 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "for task in TASK_CLASSES:\n",
    "    fig,axes = plt.subplots(len(MODEL_NAMES),3,figsize=(14,3.5*len(MODEL_NAMES)),squeeze=False)\n",
    "    for row,name in enumerate(MODEL_NAMES):\n",
    "        history = pd.read_csv(RUN_DIR/task/name/'history.csv')\n",
    "        best_epoch = int(history.loc[history.val_macro_f1.idxmax(),'epoch'])\n",
    "        axes[row,0].plot(history.epoch,history.train_loss,label='train (weighted)')\n",
    "        axes[row,0].plot(history.epoch,history.val_loss,label='validation')\n",
    "        axes[row,1].plot(history.epoch,history.train_accuracy,label='train')\n",
    "        axes[row,1].plot(history.epoch,history.val_accuracy,label='validation')\n",
    "        axes[row,2].plot(history.epoch,history.val_macro_f1,label='validation macro F1')\n",
    "        for ax,title in zip(axes[row],['Loss','Accuracy','Macro F1']):\n",
    "            ax.axvline(best_epoch,color='gray',linestyle='--',alpha=.6)\n",
    "            ax.set_title(f'{name}: {title}'); ax.set_xlabel('Epoch'); ax.legend(); ax.grid(alpha=.2)\n",
    "    plt.suptitle(f'{task}: training history'); plt.tight_layout()\n",
    "    plt.savefig(RUN_DIR/f'{task}_learning_curves.png',dpi=150); plt.show()\n"
   ],
   "id": "ppe-025"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-026"
   },
   "source": [
    "## Held-out evaluation\n",
    "\n",
    "Class 1 is `no_mask` or `no_shoes`. Prediction uses argmax, equivalent to a fixed 0.5 missing-class threshold for two classes. No test-set threshold search.\n",
    "\n",
    "Export per-class precision, recall, F1, support, confusion matrices, ROC AUC, average precision, and raw predictions. Macro F1 weights the two classes equally; balanced accuracy averages class recall.\n",
    "\n",
    "The missing-recall Wilson interval is descriptive at crop level. Correlated frames violate its independence assumption, so it is not a session-level confidence interval.\n"
   ],
   "id": "ppe-026"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "test_evaluation"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "ppe-027",
    "outputId": "ee8543c6-c6a4-40b2-b2fe-ab3124e073a1"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "              precision    recall  f1-score    support\n",
       "mask           0.952381  0.909091  0.930233  22.000000\n",
       "no_mask        0.969697  0.984615  0.977099  65.000000\n",
       "accuracy       0.965517  0.965517  0.965517   0.965517\n",
       "macro avg      0.961039  0.946853  0.953666  87.000000\n",
       "weighted avg   0.965318  0.965517  0.965248  87.000000"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-d5675372-548d-4aa5-bd9a-5cafd1d6e5e3\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mask</th>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.930233</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_mask</th>\n",
       "      <td>0.969697</td>\n",
       "      <td>0.984615</td>\n",
       "      <td>0.977099</td>\n",
       "      <td>65.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.961039</td>\n",
       "      <td>0.946853</td>\n",
       "      <td>0.953666</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.965318</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965248</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d5675372-548d-4aa5-bd9a-5cafd1d6e5e3')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-d5675372-548d-4aa5-bd9a-5cafd1d6e5e3 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-d5675372-548d-4aa5-bd9a-5cafd1d6e5e3');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.006575528756933474,\n        \"min\": 0.9523809523809523,\n        \"max\": 0.9696969696969697,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9696969696969697,\n          0.965318206697517,\n          0.9655172413793104\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.028591918923891055,\n        \"min\": 0.9090909090909091,\n        \"max\": 0.9846153846153847,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.9846153846153847,\n          0.9468531468531469,\n          0.9090909090909091\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1-score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.017769464453045065,\n        \"min\": 0.9302325581395349,\n        \"max\": 0.9770992366412213,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9770992366412213,\n          0.9652478926522892,\n          0.9655172413793104\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39.12398809820748,\n        \"min\": 0.9655172413793104,\n        \"max\": 87.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          65.0,\n          87.0,\n          22.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "              precision    recall  f1-score    support\n",
       "mask           0.913043  0.954545  0.933333  22.000000\n",
       "no_mask        0.984375  0.969231  0.976744  65.000000\n",
       "accuracy       0.965517  0.965517  0.965517   0.965517\n",
       "macro avg      0.948709  0.961888  0.955039  87.000000\n",
       "weighted avg   0.966337  0.965517  0.965767  87.000000"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-5fead2c3-0d46-4caf-901a-eee047a96239\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mask</th>\n",
       "      <td>0.913043</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_mask</th>\n",
       "      <td>0.984375</td>\n",
       "      <td>0.969231</td>\n",
       "      <td>0.976744</td>\n",
       "      <td>65.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.948709</td>\n",
       "      <td>0.961888</td>\n",
       "      <td>0.955039</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.966337</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.965767</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5fead2c3-0d46-4caf-901a-eee047a96239')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-5fead2c3-0d46-4caf-901a-eee047a96239 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-5fead2c3-0d46-4caf-901a-eee047a96239');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.026926653269292503,\n        \"min\": 0.9130434782608695,\n        \"max\": 0.984375,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.984375,\n          0.9663371439280359,\n          0.9655172413793104\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.005559539790756574,\n        \"min\": 0.9545454545454546,\n        \"max\": 0.9692307692307692,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.9692307692307692,\n          0.961888111888112,\n          0.9545454545454546\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1-score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01641033407930363,\n        \"min\": 0.9333333333333333,\n        \"max\": 0.9767441860465116,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9767441860465116,\n          0.9657667290385815,\n          0.9655172413793104\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39.12398809820748,\n        \"min\": 0.9655172413793104,\n        \"max\": 87.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          65.0,\n          87.0,\n          22.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "YOLOv8n-cls summary: 56 layers, 2,719,288 parameters, 2,719,288 gradients, 3.4 GFLOPs\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ],
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABUMAAAGMCAYAAADwVLPkAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAu7JJREFUeJzs3Xd8jef/x/H3SWTKECRihMQWI1Fq1CbEqF17a1F7VFtas7VbSmu19qxVbVFbUatqqxpVQuwdQUgk5/z+8HO+PU2QSDgZr+fjcR4P57rv+7rf9xG53Z9z3ddtMJlMJgEAAAAAAABAKmdj7QAAAAAAAAAA8DpQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAABIxebOnSuDwaD9+/dbO0qCPM197tw5a0d57bZt2yaDwaBt27ZZOwoAAECqQzEUAAAAL1SiRAl169bN2jGS3LJly1SmTBllyJBBmTJlUqVKlfTLL79YOxYAAABeEYqhAAAAeK4rV67o0KFDqlOnjrWjJKlvvvlGzZo1U+bMmTVmzBgNHjxYd+/e1dtvv62VK1daOx4AAABegXTWDgAAAIDkbd26dXJ0dFTVqlWtHSVJffPNN3rzzTe1evVqGQwGSVLHjh2VPXt2zZs3T40aNbJyQgAAACQ1RoYCAAAksWHDhslgMOjvv/9W69at5e7uLk9PTw0ePFgmk0kXLlxQ/fr15ebmJm9vb40fP95i+6ioKA0ZMkQlSpSQu7u70qdPrwoVKmjr1q2x9rVkyRKVKFFCrq6ucnNzU9GiRTVp0qTn5rtz545KlSqlHDly6NSpUy88nl9++UVVqlSRk5NTnMu3bt0qg8GgH3/8MdayxYsXy2AwaM+ePea2X3/9VRUqVFD69OmVIUMG1a9fXydOnHhhDkmaOnWqChcuLAcHB2XLlk3du3dXWFiYeXmPHj3k4uKiiIiIWNu2aNFC3t7eiomJkSSFh4fLy8vLXAiVJDc3N7m4uFgc69P5S3ft2qV+/frJ09NT6dOnV8OGDXXjxo145f63S5cu6d1331W2bNnk4OAgPz8/de3aVVFRUc/c5vTp02rcuLG8vb3l6OioHDlyqHnz5rp7926C9w8AAJCWUQwFAAB4RZo1ayaj0agxY8aodOnSGjFihCZOnKjq1asre/bsGjt2rPLmzav+/fvrt99+M28XHh6umTNnqnLlyho7dqyGDRumGzduKDg4WIcPHzavt2nTJrVo0UIeHh4aO3asxowZo8qVK2vXrl3PzHTz5k1VrVpV165d0/bt21WgQIHnHsPjx4+1efNm1a5d+5nrVK5cWT4+Plq0aFGsZYsWLVKePHlUtmxZSdLmzZsVHBys69eva9iwYerXr592796tcuXKvfBhScOGDVP37t2VLVs2jR8/Xo0bN9a3336rGjVq6PHjx5KefOYPHjyINe9nRESEVq9erXfeeUe2trbm3OvXr9c333yjc+fO6eTJk+revbvu3r2r3r17x9p/z549deTIEQ0dOlRdu3bV6tWr1aNHj+dm/q/Lly+rVKlSWrJkiZo1a6avv/5abdq00fbt2+Ms4EpPiuPBwcH6/fff1bNnT02ZMkWdO3fW2bNnLQrBAAAAiAcTAAAAktTQoUNNkkydO3c2t0VHR5ty5MhhMhgMpjFjxpjb79y5Y3JycjK1a9fOYt3IyEiLPu/cuWPKkiWLqWPHjua23r17m9zc3EzR0dHPzDJnzhyTJNO+fftMV65cMRUuXNiUO3du07lz5+J1LFu2bDFJMoWEhDx3vYEDB5ocHBxMYWFh5rbr16+b0qVLZxo6dKi5LTAw0OTl5WW6deuWue3IkSMmGxsbU9u2bWPlfrrf69evm+zt7U01atQwxcTEmNebPHmySZJp9uzZJpPJZDIajabs2bObGjdubJFv2bJlJkmm3377zdx27do1U7Vq1UySzK/MmTObdu/ebbHt0yxBQUEmo9Fobu/bt6/J1tbW4phfpG3btiYbGxvTvn37Yi172vfWrVtNkkxbt241mUwm06FDh0ySTMuXL4/3fgAAABA3RoYCAAC8Iu+99575z7a2tipZsqRMJpPeffddc3uGDBlUoEABnT171mJde3t7SZLRaNTt27cVHR2tkiVL6uDBgxbbPnjwQJs2bXphlosXL6pSpUp6/PixfvvtN+XKlStex7B27Vr5+/vL19f3ueu1bdtWkZGRWrFihblt6dKlio6OVuvWrSU9eRDT4cOH1b59e2XMmNG8XrFixVS9enWtXbv2mf1v3rxZUVFR6tOnj2xs/vdf2E6dOsnNzc08EtRgMKhJkyZau3at7t+/b5Ele/bsKl++vLnN2dlZBQoUULt27bR8+XLNnj1bWbNmVaNGjfTPP//EytC5c2eLW+orVKigmJgYnT9//rmfzVNGo1E//fST6tatq5IlS8Za/u++/83d3V2StGHDhmeOHgUAAED8UAwFAAB4RXLmzGnx3t3dXY6OjsqcOXOs9jt37li0zZs3T8WKFZOjo6MyZcokT09P/fLLLxZzRHbr1k358+dXrVq1lCNHDnXs2FHr16+PM0ubNm10/fp1bd++XdmzZ4/3Mfzyyy/xeop8wYIF9eabb1rcKr9o0SKVKVNGefPmlSRz0TCuW/MLFSqkmzdv6sGDB3H2/6xt7e3tlTt3bouCZLNmzfTw4UOtWrVKknT//n2tXbtWTZo0sSg4NmnSRKGhoZo7d67eeecddejQQdu2bVNUVJQ+/fTTWBn++/fp4eEhSbH+7p7lxo0bCg8PV5EiReK1/lN+fn7q16+fZs6cqcyZMys4OFhTpkxhvlAAAICXQDEUAADgFXk6N+WL2iTJZDKZ/7xw4UK1b99eefLk0axZs7R+/Xpt2rRJVatWldFoNK/n5eWlw4cPa9WqVapXr562bt2qWrVqqV27drH6b9SokcLCwl74cKV/CwkJ0cmTJ587X+i/tW3bVtu3b9fFixd15swZ/f777+ZRoa9TmTJl5Ovrq2XLlkmSVq9erYcPH6pZs2bmdc6ePav169erXr16FttmzJhR5cuXj3Pe1fj83b0q48eP19GjR/XJJ5/o4cOH6tWrlwoXLqyLFy++8n0DAACkJhRDAQAAkpkVK1Yod+7cWrlypdq0aaPg4GAFBQXp0aNHsda1t7dX3bp1NXXqVJ05c0ZdunTR/PnzY93m3bNnT3322WcaM2aMxowZE68cv/zyi9zd3S1uLX+e5s2by9bWVt9//70WLVokOzs7iwLk01vz43qC/cmTJ5U5c2alT58+zr6ftW1UVJRCQkJi3fbftGlTrV+/XuHh4Vq6dKl8fX1VpkwZ8/Jr165JkvnJ8v/2+PFjRUdHx+eQE8TT01Nubm46duzYS21ftGhRDRo0SL/99pt27NihS5cuafr06UmcEgAAIHWjGAoAAJDMPB2B+O8Rh3v37tWePXss1rt165bFexsbGxUrVkySFBkZGavfwYMHq3///ho4cKCmTZv2whxr165VjRo1lC5dunjlzpw5s2rVqqWFCxdq0aJFqlmzpsWUAFmzZlVgYKDmzZtn8RT0Y8eOaePGjc8dgRoUFCR7e3t9/fXXFp/LrFmzdPfu3Vi38jdr1kyRkZGaN2+e1q9fr6ZNm1osz5s3r2xsbLR06VKL/i5evKgdO3aoePHi8TrmhLCxsVGDBg20evVq7d+/P9byZ40wDQ8Pj1WcLVq0qGxsbOL8ewYAAMCzxe9/tgAAAHht3n77ba1cuVINGzZUnTp1FBISounTp8vf39/ioUDvvfeebt++rapVqypHjhw6f/68vvnmGwUGBqpQoUJx9v3FF1/o7t276t69u1xdXZ95G/vDhw+1devWBI88bNu2rd555x1J0ueffx7n/mvVqqWyZcvq3Xff1cOHD/XNN9/I3d1dw4YNe2a/np6eGjhwoIYPH66aNWuqXr16OnXqlKZOnao333wz1nG88cYbyps3rz799FNFRkZajFB92l/Hjh01c+ZMVatWTY0aNdK9e/c0depUPXz4UAMHDkzQccfXqFGjtHHjRlWqVEmdO3dWoUKFdOXKFS1fvlw7d+5UhgwZYm3z66+/qkePHmrSpIny58+v6OhoLViwQLa2tmrcuPEryQkAAJBaUQwFAABIZtq3b6+rV6/q22+/1YYNG+Tv76+FCxdq+fLl2rZtm3m91q1b67vvvtPUqVMVFhYmb29vNWvWTMOGDbN44vp/TZ8+Xffv31eHDh3k6uqq+vXrx1rn119/VWRkpGrVqpWg7HXr1pWHh4eMRmOs+TilJyM8169fr6FDh2rIkCGys7NTpUqVNHbsWPn5+T2372HDhsnT01OTJ09W3759lTFjRnXu3FmjRo2SnZ1drPWbNWumkSNHKm/evHrjjTdiLZ82bZoCAgI0a9Ysc/HzzTff1Pz581WxYsUEHXd8Zc+eXXv37tXgwYO1aNEihYeHK3v27KpVq5acnZ3j3CYgIEDBwcFavXq1Ll26JGdnZwUEBGjdunUWt/4DAADgxQym1zHjOwAAAFKUbt26af/+/frjjz8StF10dLSyZcumunXratasWa8oHQAAAPByGBkKAACAWAIDA1W3bt0Eb/fTTz/pxo0batu27StIBQAAACQOI0MBAACQaHv37tXRo0f1+eefK3PmzDp48KC1I71W9+/ft5jPNS6enp7mh2MBAADAOhgZCgAAgESbNm2aFi5cqMDAQM2dO9facV67L7/8UsOHD3/uOiEhIfL19X09gQAAABAnRoYCAAAAiXT27FmdPXv2ueuUL19ejo6OrykRAAAA4kIxFAAAAAAAAECaYGPtAAAAAAAAAADwOlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFAAAAAAAAkCZQDAUAAAAAAACQJlAMBQAAAAAAAJAmUAwFXoP169crMDBQjo6OMhgMCgsLS9L+586dK4PBoHPnziVpvynduXPnZDAYNHfuXGtHAQAAAGBlBoNBw4YNS/J+fX191b59+yTvN6ls27ZNBoNB27Zts3aUZO1lr6tf1c9VShbXZ1m5cmVVrlzZapn+jWIokpTBYIjXKyl+CUdERGjYsGHJ/hf6rVu31LRpUzk5OWnKlClasGCB0qdPb+1YKc7atWs5wQAAAABp3NMii8Fg0M6dO2MtN5lM8vHxkcFg0Ntvv22FhACSu3TWDoDUZcGCBRbv58+fr02bNsVqL1SoUKL3FRERoeHDh0tSsvl2IS779u3TvXv39PnnnysoKOiV7KNNmzZq3ry5HBwcXkn/ycHatWs1ZcqUBBVEc+XKpYcPH8rOzu7VBQMAAADw2jk6Omrx4sUqX768Rfv27dt18eLFOK+NHj58qHTpkr4McurUKdnYMNYspXvZ6+pX9XOFV4e/LSSp1q1bW7z//ffftWnTpljtacn169clSRkyZHhl+7C1tZWtre0r6z+liY6OltFolL29vRwdHa0dBwAAAEASq127tpYvX66vv/7aohC1ePFilShRQjdv3oy1zau6NkjNg1KSqwcPHiT5HZcve12dXK85X8VnlFrw1QVeO6PRqIkTJ6pw4cJydHRUlixZ1KVLF925c8divf379ys4OFiZM2eWk5OT/Pz81LFjR0lP5oL09PSUJA0fPtx8m8SLRg2GhYWpb9++8vX1lYODg3LkyKG2bdtanCivX7+ud999V1myZJGjo6MCAgI0b948i36ezkX55Zdf6rvvvlOePHnk4OCgN998U/v27TOvV7lyZbVr106S9Oabb8pgMJjnknnWvDJxzaPxzTffqHDhwnJ2dpaHh4dKliypxYsXm5c/a26TqVOnqnDhwnJwcFC2bNnUvXv3WPOVVq5cWUWKFNHx48dVpUoVOTs7K3v27Bo3btxzP8unDAaDevTooeXLl8vf319OTk4qW7as/vzzT0nSt99+q7x588rR0VGVK1eOlXHHjh1q0qSJcubMKQcHB/n4+Khv3756+PCheZ327dtrypQp5v09fUmWfxcTJ040/10cP3481pyh169fl6enpypXriyTyWTu/59//lH69OnVrFmzeB0zAAAAAOtq0aKFbt26pU2bNpnboqKitGLFCrVs2TLObf57zXjv3j316dPHfH3o5eWl6tWr6+DBg+Z1Tp8+rcaNG8vb21uOjo7KkSOHmjdvrrt375rX+e+13dPrs127dqlfv37y9PRU+vTp1bBhQ924ccMik9Fo1LBhw5QtWzY5OzurSpUqOn78eILmIb106ZLeffddZcuWTQ4ODvLz81PXrl0VFRX1zG3icx0mSVevXlWHDh2UI0cOOTg4KGvWrKpfv77Fdd3zrt2fx9fXV2+//bY2btxofsaGv7+/Vq5cabHe089z+/bt6tatm7y8vJQjRw7z8nXr1qlChQpKnz69XF1dVadOHf3111+x9nfy5Ek1bdpUnp6ecnJyUoECBfTpp5/G2k9Cjy2uWsShQ4dUq1Ytubm5ycXFRdWqVdPvv/8e53HF5+fkRYYNGyaDwaDjx4+rZcuW8vDwsBg1vXDhQpUoUUJOTk7KmDGjmjdvrgsXLsTqZ+/evapdu7Y8PDyUPn16FStWTJMmTTIvP3r0qNq3b6/cuXPL0dFR3t7e6tixo27dupWgvNbGyFC8dl26dNHcuXPVoUMH9erVSyEhIZo8ebIOHTqkXbt2yc7OTtevX1eNGjXk6empAQMGKEOGDDp37pz5l6Knp6emTZumrl27qmHDhmrUqJEkqVixYs/c7/3791WhQgWdOHFCHTt21BtvvKGbN29q1apVunjxojJnzqyHDx+qcuXK+ueff9SjRw/5+flp+fLlat++vcLCwtS7d2+LPhcvXqx79+6pS5cuMhgMGjdunBo1aqSzZ8/Kzs5On376qQoUKKDvvvtOn332mfz8/JQnT54EfV4zZsxQr1699M4776h379569OiRjh49qr179z7zJC89+WU4fPhwBQUFqWvXrjp16pSmTZumffv2mT/np+7cuaOaNWuqUaNGatq0qVasWKGPP/5YRYsWVa1atV6YcceOHVq1apW6d+8uSRo9erTefvttffTRR5o6daq6deumO3fuaNy4cerYsaN+/fVX87bLly9XRESEunbtqkyZMumPP/7QN998o4sXL2r58uWSnvzMXL58Oc4pF56aM2eOHj16pM6dO8vBwUEZM2aU0Wi0WMfLy0vTpk1TkyZN9M0336hXr14yGo1q3769XF1dNXXq1BceKwAAAADr8/X1VdmyZfX999+br1nWrVunu3fvqnnz5vr6669f2Mf777+vFStWqEePHvL399etW7e0c+dOnThxQm+88YaioqIUHBysyMhI9ezZU97e3rp06ZLWrFmjsLAwubu7P7f/nj17ysPDQ0OHDtW5c+c0ceJE9ejRQ0uXLjWvM3DgQI0bN05169ZVcHCwjhw5ouDgYD169Chen8Ply5dVqlQphYWFqXPnzipYsKAuXbqkFStWKCIiQvb29nFuF5/rMElq3Lix/vrrL/Xs2VO+vr66fv26Nm3apNDQUPP75127v8jp06fVrFkzvf/++2rXrp3mzJmjJk2aaP369apevbrFut26dZOnp6eGDBmiBw8eSHoyVV+7du0UHByssWPHKiIiQtOmTVP58uV16NAh+fr6SnpSxKtQoYLs7OzUuXNn+fr66syZM1q9erVGjhwZZ7aXPba//vpLFSpUkJubmz766CPZ2dnp22+/VeXKlbV9+3aVLl3aYv34/JzEV5MmTZQvXz6NGjXKPABo5MiRGjx4sJo2bar33ntPN27c0DfffKOKFSvq0KFD5rtYN23apLfffltZs2ZV79695e3trRMnTmjNmjXmWsimTZt09uxZdejQQd7e3vrrr7/03Xff6a+//tLvv/9uHrSU7JmAV6h79+6mf/+Y7dixwyTJtGjRIov11q9fb9H+448/miSZ9u3b98y+b9y4YZJkGjp0aLyyDBkyxCTJtHLlyljLjEajyWQymSZOnGiSZFq4cKF5WVRUlKls2bImFxcXU3h4uMlkMplCQkJMkkyZMmUy3b5927zuzz//bJJkWr16tbltzpw5cR5Lrly5TO3atYuVpVKlSqZKlSqZ39evX99UuHDh5x7b032EhISYTCaT6fr16yZ7e3tTjRo1TDExMeb1Jk+ebJJkmj17tsX+JJnmz59vbouMjDR5e3ubGjdu/Nz9mkwmkySTg4ODed8mk8n07bffmiSZvL29zZ+ZyWQyDRw40CKnyWQyRURExOpz9OjRJoPBYDp//ry57b8/S089/btwc3MzXb9+Pc5lc+bMsWhv0aKFydnZ2fT333+bvvjiC5Mk008//fTCYwUAAABgXf++vpo8ebLJ1dXVfE3RpEkTU5UqVUwm05PrrTp16lhs+9/rR3d3d1P37t2fua9Dhw6ZJJmWL1/+3Ez/vbZ7mjEoKMh8rWkymUx9+/Y12dramsLCwkwmk8l09epVU7p06UwNGjSw6G/YsGEmSXFeL/5X27ZtTTY2NnFeOz/d99atW02STFu3bjUvi8912J07d0ySTF988cUz9x+fa/dnyZUrl0mS6YcffjC33b1715Q1a1ZT8eLFzW1PP8/y5cuboqOjze337t0zZciQwdSpUyeLfq9evWpyd3e3aK9YsaLJ1dXV4hrTZDJZ/P3897o6vsf235+rBg0amOzt7U1nzpwxt12+fNnk6upqqlixYqz9vejnJD6GDh1qkmRq0aKFRfu5c+dMtra2ppEjR1q0//nnn6Z06dKZ26Ojo01+fn6mXLlyme7cuWOx7r+zxfVz8/3335skmX777bdYx/bva///1jqsidvk8VotX75c7u7uql69um7evGl+lShRQi4uLtq6dauk/82vuWbNGj1+/DhJ9v3DDz8oICBADRs2jLXs6bcXa9eulbe3t1q0aGFeZmdnp169eun+/fvavn27xXbNmjWTh4eH+X2FChUkSWfPnk2SzNKTz+LixYsWt9+/yObNmxUVFaU+ffpYTOTdqVMnubm56ZdffrFY38XFxWJeV3t7e5UqVSrex1GtWjXzN26SzN90NW7cWK6urrHa/92vk5OT+c8PHjzQzZs39dZbb8lkMunQoUPx2v/TfT2dOuFFJk+eLHd3d73zzjsaPHiw2rRpo/r168d7XwAAAACsr2nTpnr48KHWrFmje/fuac2aNc+9e+6/MmTIoL179+ry5ctxLn868nPDhg2KiIhIcL7OnTtbjJSrUKGCYmJidP78eUnSli1bFB0drW7dulls17Nnz3j1bzQa9dNPP6lu3boqWbJkrOXPG6UXn+swJycn2dvba9u2bbGmtXsqsdfu2bJls7hGd3NzU9u2bXXo0CFdvXrVYt1OnTpZzOm5adMmhYWFqUWLFhb1BVtbW5UuXdpcX7hx44Z+++03dezYUTlz5rTo83mf0cscW0xMjDZu3KgGDRood+7c5vasWbOqZcuW2rlzp8LDwy22edHPSUK8//77Fu9Xrlwpo9Gopk2bWnxG3t7eypcvn/kzOnTokEJCQtSnT59Yzzv5d7Z//9w8evRIN2/eVJkyZSTJYnqJ5I5iKF6r06dP6+7du/Ly8pKnp6fF6/79++aHDVWqVEmNGzfW8OHDlTlzZtWvX19z5sxRZGTkS+/7zJkzKlKkyHPXOX/+vPLlyxfrSYCFChUyL/+3//4ifVoYfdaJ4mV8/PHHcnFxUalSpZQvXz51795du3bteu42T3MWKFDAot3e3l65c+eOdRw5cuSIdRLw8PCI93H893N4+p8GHx+fONv/3W9oaKjat2+vjBkzysXFRZ6enqpUqZIkWczD8yJ+fn7xXjdjxoz6+uuvdfToUbm7u8frFhoAAAAAyYunp6eCgoK0ePFirVy5UjExMXrnnXfivf24ceN07Ngx+fj4qFSpUho2bJjFwA0/Pz/169dPM2fOVObMmRUcHKwpU6bE+zrlRdeLT6/L8ubNa7FexowZLQbdxMTE6OrVqxavqKgo3bhxQ+Hh4S+8zo1LfK7DHBwcNHbsWK1bt05ZsmRRxYoVNW7cOIsiZWKv3fPmzRvrWjR//vySFOt5E/+95jt9+rQkqWrVqrHqCxs3bjTXF57+nSb0c3qZY7tx44YiIiJiXYtLT+oKRqMx1lydL/o5uXv3bqy//6evmJgYi23j+oxMJpPy5csX6zM6ceKE+TM6c+aMpBd/Rrdv31bv3r2VJUsWOTk5ydPT07zPhFy/WxtzhuK1MhqN8vLy0qJFi+Jc/nRkn8Fg0IoVK/T7779r9erV2rBhgzp27Kjx48fr999/l4uLy+uM/UzPetKc6V8P53mWZ30DFRMTY9FvoUKFdOrUKa1Zs0br16/XDz/8oKlTp2rIkCEaPnz4ywX/j8Qcx/O2f1G/MTExql69um7fvq2PP/5YBQsWVPr06XXp0iW1b98+1pyfz/Pvb6jiY8OGDZKenGAuXrwY69svAAAAAMlfy5Yt1alTJ129elW1atVK0P/rmzZtqgoVKujHH3/Uxo0b9cUXX2js2LFauXKleR7S8ePHq3379vr555+1ceNG9erVS6NHj9bvv/9u8RCfuCT2OuupCxcuxCpybd261TxoJ6ESch3Wp08f1a1bVz/99JM2bNigwYMHa/To0fr1119VvHjx13rt/t9rvqc5FyxYIG9v71jrp0uXuJLX6zq2F/2c9O7dO9ZDnZ8KCQmxuEszrs/IYDBo3bp1ce4nocfQtGlT7d69Wx9++KECAwPl4uIio9GomjVrJuj63doohuK1ypMnjzZv3qxy5crFq3hVpkwZlSlTRiNHjtTixYvVqlUrLVmyRO+9916CJ+bNkyePjh079tx1cuXKpaNHj8poNFqMDj158qR5eVLx8PCI9WR36cm3g/8eTi/J/KTzZs2aKSoqSo0aNdLIkSM1cOBAOTo6xnkcknTq1CmLvqKiohQSEqKgoKAkO47E+PPPP/X3339r3rx5atu2rbn930+EfCopJ2Jev369Zs6cqY8++kiLFi1Su3bttHfv3kSfLAEAAAC8Xg0bNlSXLl30+++/v9QDZ7Jmzapu3bqpW7duun79ut544w2NHDnS4kGyRYsWVdGiRTVo0CDt3r1b5cqV0/Tp0zVixIhEZX963fbPP/9YFDtv3bplcTedt7d3rGukgIAAubu7y83N7YXXuf+VkOsw6cm19AcffKAPPvhAp0+fVmBgoMaPH6+FCxea13netfvz/PPPPzKZTBbXe3///bckWRT5npVLevKg3Odd4z69Jk7o5/RUQo7N09NTzs7OOnXqVKxlJ0+elI2NTaw7KF/ko48+spjW7t/iKgL/W548eWQymeTn52cecfus9aQnn9GzPss7d+5oy5YtGj58uIYMGWJufzpCNyXhNnm8Vk2bNlVMTIw+//zzWMuio6PNxcE7d+7E+rYsMDBQksxD0p2dnSUpzoJiXBo3bqwjR47oxx9/jLXs6b5q166tq1evWpxEo6Oj9c0338jFxcV820BSyJMnj37//XdFRUWZ29asWRNryPytW7cs3tvb28vf318mk+mZ85YEBQXJ3t5eX3/9tcXnOGvWLN29e1d16tRJsuNIjKffTP07o8lk0qRJk2Ktmz59eknx//t+lrCwML333nsqVaqURo0apZkzZ+rgwYMaNWpUovoFAAAA8Pq5uLho2rRpGjZsmOrWrRvv7WJiYmLd1uvl5aVs2bKZrznDw8MVHR1tsU7RokVlY2OTqCncnqpWrZrSpUunadOmWbRPnjzZ4r2jo6OCgoIsXh4eHrKxsVGDBg20evVq7d+/P1b/zxqBGt/rsIiIiFhPtc+TJ49cXV3Nxx+fa/fnuXz5ssU1enh4uObPn6/AwMAXFvqCg4Pl5uamUaNGxXltfOPGDUlPCpQVK1bU7NmzFRoaarHO80bpvsyx2draqkaNGvr5558tbvO/du2aFi9erPLly8vNze25x/Vf/v7+sf7+n77iGhz1b40aNZKtra2GDx8e61hMJpO53vDGG2/Iz89PEydOjHXN/XS7uH5uJGnixIkJOp7kgGFQeK0qVaqkLl26aPTo0Tp8+LBq1KghOzs7nT59WsuXL9ekSZP0zjvvaN68eZo6daoaNmyoPHny6N69e5oxY4bc3NxUu3ZtSU+Gf/v7+2vp0qXKnz+/MmbMqCJFijxzjosPP/xQK1asUJMmTdSxY0eVKFFCt2/f1qpVqzR9+nQFBASoc+fO+vbbb9W+fXsdOHBAvr6+WrFihXbt2qWJEydaPAwosd577z2tWLFCNWvWVNOmTXXmzBktXLjQ/I3MUzVq1JC3t7fKlSunLFmy6MSJE5o8ebLq1KnzzDyenp4aOHCghg8frpo1a6pevXo6deqUpk6dqjfffPOZ3yq9bgULFlSePHnUv39/Xbp0SW5ubvrhhx/inKu0RIkSkqRevXopODhYtra2at68eYL32bt3b926dUubN2+Wra2tatasqffee08jRoxQ/fr1FRAQkOjjAgAAAPD6tGvXLsHb3Lt3Tzly5NA777yjgIAAubi4aPPmzdq3b5/Gjx8vSfr111/Vo0cPNWnSRPnz51d0dLQWLFggW1tbNW7cONG5s2TJot69e2v8+PGqV6+eatasqSNHjmjdunXKnDlzvO6OGzVqlDZu3KhKlSqpc+fOKlSokK5cuaLly5dr586dcU4bEN/rsL///lvVqlVT06ZN5e/vr3Tp0unHH3/UtWvXzNdi8bl2f578+fPr3Xff1b59+5QlSxbNnj1b165d05w5c164rZubm6ZNm6Y2bdrojTfeUPPmzeXp6anQ0FD98ssvKleunLmw/PXXX6t8+fJ644031LlzZ/n5+encuXP65ZdfdPjw4Tj7f9ljGzFihDZt2qTy5curW7duSpcunb799ltFRkZq3LhxLzyupJQnTx6NGDFCAwcO1Llz59SgQQO5uroqJCREP/74ozp37qz+/fvLxsZG06ZNU926dRUYGKgOHTooa9asOnnypP766y9t2LBBbm5u5nljHz9+rOzZs2vjxo0KCQl5rceUFCiG4rWbPn26SpQooW+//VaffPKJ0qVLJ19fX7Vu3VrlypWT9KRo+scff2jJkiW6du2a3N3dVapUKS1atMji9oGZM2eqZ8+e6tu3r6KiojR06NBnFkNdXFy0Y8cODR06VD/++KPmzZsnLy8vVatWzTzXi5OTk7Zt26YBAwZo3rx5Cg8PV4ECBTRnzhy1b98+ST+H4OBgjR8/XhMmTFCfPn1UsmRJrVmzRh988IHFel26dNGiRYs0YcIE3b9/Xzly5FCvXr00aNCg5/Y/bNgweXp6avLkyerbt68yZsyozp07a9SoUbKzs0vSY3lZdnZ2Wr16tXneHUdHRzVs2FA9evSIVZRs1KiRevbsqSVLlmjhwoUymUwJLoauWrVK8+fP1/jx41WwYEFz+4QJE7Rp0ya1a9dO+/btSzafDwAAAIBXw9nZWd26ddPGjRvNT9zOmzevpk6dqq5du0p6cit6cHCwVq9erUuXLsnZ2VkBAQFat26d+QnaiTV27Fg5OztrxowZ2rx5s8qWLauNGzeqfPnyLxz1J0nZs2fX3r17NXjwYC1atEjh4eHKnj27atWqZb6b8r/iex3m4+OjFi1aaMuWLVqwYIHSpUunggULatmyZeZicHyv3Z8lX758+uabb/Thhx/q1KlT8vPz09KlSxUcHByvz69ly5bKli2bxowZoy+++EKRkZHKnj27KlSooA4dOpjXCwgI0O+//67Bgwdr2rRpevTokXLlyqWmTZs+s++XPbbChQtrx44dGjhwoEaPHi2j0ajSpUtr4cKFKl26dLyOKykNGDBA+fPn11dffWV+7oiPj49q1KihevXqmdcLDg7W1q1bNXz4cI0fP15Go1F58uRRp06dzOssXrxYPXv21JQpU2QymVSjRg2tW7dO2bJle+3HlRgGU0Jn7gUAAAAAAMArERYWJg8PD40YMUKffvqpteO8Mr6+vipSpIjWrFlj7ShIY5gzFAAAAAAAwAoePnwYq+3pHIyVK1d+vWGANILb5AEAAAAAAKxg6dKlmjt3rmrXri0XFxft3LlT33//vWrUqGGeRg5A0qIYCgAAAAAAYAXFihVTunTpNG7cOIWHh5sfqjRixAhrRwNSLeYMBQAAAAAAAJAmMGcoAAAAAAAAgDSBYigAAAAAAACANIE5Q5MZo9Goy5cvy9XVVQaDwdpxAKQQJpNJ9+7dU7Zs2WRjw/dcSLl+++03ffHFFzpw4ICuXLmiH3/8UQ0aNHjuNtu2bVO/fv30119/ycfHR4MGDVL79u3jvU/OvQBeBudepAbWOO9KnHsBJFxSnncphiYzly9flo+Pj7VjAEihLly4oBw5clg7BvDSHjx4oICAAHXs2FGNGjV64fohISGqU6eO3n//fS1atEhbtmzRe++9p6xZsyo4ODhe++TcCyAxOPciJbPGeVfi3Avg5SXFeZcHKCUzd+/eVYYMGTR380E5p3e1dhwkM2VzZ7Z2BCRT9+6Fyz9vLoWFhcnd3d3acYAkYTAYXjhC5eOPP9Yvv/yiY8eOmduaN2+usLAwrV+/Ps5tIiMjFRkZaX5/9+5d5cyZUxcuXJCbm1uS5f8vk8mkNrP+0OELYa9sHwBejz8+raboRxHy8fHh3ItU41Wdd6Vnn3uzd50rGwfnJMkP4OUU98mg+e+WSvajtMPDw5PsvMvI0GTm6Q+fc3pXObtQDIWlV3mRjtQhuZ/AgKS2Z88eBQUFWbQFBwerT58+z9xm9OjRGj58eKx2Nze3V/p7NiIqWkevR3HRB6QCbm5uirZ/cinFuRdpycucd6Vnn3ttHJw5LwJWduR6lOyc0svZPmWUCJPivJsyjhQAACAOV69eVZYsWSzasmTJovDwcD18+FBOTk6xthk4cKD69etnfv/0W+bXaf+gIDnb277WfQJIOk52trr3yNopgNfvZc670rPPvX98Wo0BH4CVRETFqOSIzdaOYRUUQwEAQJri4OAgBwcHq2ZwtrdNMd++AwCQWM869zrbp+N8COC147cOAABIsby9vXXt2jWLtmvXrsnNze2Zo1MAAMDL4bwLpE4RUTHxXtfJzjbFTxFDMRQAAKRYZcuW1dq1ay3aNm3apLJly1opEQAAqRfnXSB1Ssjt8iVzeWj5+2VTdEHUxtoBAAAAnrp//74OHz6sw4cPS5JCQkJ0+PBhhYaGSnoy51jbtm3N67///vs6e/asPvroI508eVJTp07VsmXL1LdvX2vEBwAgReG8C6RdTna2KpnLI8Hb7T9/Rw8fx38kaXLEyFAAAJBs7N+/X1WqVDG/f/qwhXbt2mnu3Lm6cuWK+QJNkvz8/PTLL7+ob9++mjRpknLkyKGZM2cqODj4tWcHACCl4bwLpF0Gg0HL3y8b78JmUj1wyWQyJbiY6mSXtA8epRgKAACSjcqVK8tkMj1z+dy5c+Pc5tChQ68wFQAAqRPnXSBtMxgML/UQs4TMMfpvJpPUZPoeHb8SnqDtSuby0KyWhV9qn3GhGAoAAAAAAAAgXpJihGhCJPWt+RRDAQAAAAAAADzT0zlG95+/k+i+/LO6/f9DmJ6/XlLdmv9fFEMBAAAAAAAAPFNC5xh9Hic7W6s+jZ5iKAAASLTQ0FCdP39eERER8vT0VOHCheXg4GDtWAAAAACSyMvOMZrcpPwjAAAAVnHu3DlNmzZNS5Ys0cWLFy0ewGBvb68KFSqoc+fOaty4sWxsbKyYFAAAAACe4MoEAAAkWK9evRQQEKCQkBCNGDFCx48f1927dxUVFaWrV69q7dq1Kl++vIYMGaJixYpp37591o4MAAAAAIwMBQAACZc+fXqdPXtWmTJlirXMy8tLVatWVdWqVTV06FCtX79eFy5c0JtvvmmFpAAAAADwPxRDAQBAgo0ePTre69asWfMVJgEAAACA+OM2eQAAAAAAAABpAsVQAADwSpw4cUK5c+e2dgwAAAAAMKMYCgAAXomoqCidP3/e2jEAAAAAwIw5QwEAwEvp16/fc5ffuHHjNSUBAAAAgPihGAoAAF7KpEmTFBgYKDc3tziX379//zUnAgAAAIDnoxgKAABeSt68edW3b1+1bt06zuWHDx9WiRIlXnMqAAAAAHg25gwFAAAvpWTJkjpw4MAzlxsMBplMpteYCAAAAACej5GhAADgpYwfP16RkZHPXB4QECCj0fgaEwEAAADA81EMBQAAL8Xb29vaEQAAAAAgQbhNHgAAAAAAAECaQDEUAAAAAAAAQJrAbfIAAAAvwWQy6eHjmHivHxEV/3UBAAAAvBoUQwEAABLIZDLpnel7dOD8HWtHAQAAAJAA3CYPAACQQA8fx7x0IbRkLg852dkmcSIAAAAA8cHIUAAAkGi//fabnJ2dVbJkSXPb/v37FRERoYoVK1ox2au3f1CQnO3jX9x0srOVwWB4hYkAAAAAPAvFUAAAkGiVK1dWwYIFdfz4cXNbmzZt9PfffysmJnXPlelsbytne/5LBQAAAKQE/M8dAAAkWkhIiOzs7CzatmzZosePH1spEQAAAADERjEUAAAkWq5cuWK1ZcuWzQpJAAAAAODZeIASAAAAAAAAgDSBkaEAACDBPDw84v0QoNu3b7/iNAAAAAAQPxRDAQBAgk2cONHaEQAAAAAgwSiGAgCABGvXrp21IwAAAABAgjFnKAAASLQzZ85o0KBBatGiha5fvy5JWrdunf766y8rJwMAAACA/6EYCgAAEmX79u0qWrSo9u7dq5UrV+r+/fuSpCNHjmjo0KFWThd/JpNJEVHR8XzFWDsuAAAAgJfAbfIAACBRBgwYoBEjRqhfv35ydXU1t1etWlWTJ0+2YrKEaTPrDx29HmXtGAAAAABeIUaGAgCARPnzzz/VsGHDWO1eXl66efOmFRK9nMMXwhK8TclcHnKys036MAAAAABeCUaGAgCARMmQIYOuXLkiPz8/i/ZDhw4pe/bsVkr18vYPCpKzffwKnE52tjIYDK84EQAAliIjI7V3716dP39eERER8vT0VPHixWOdiwEAsVEMBQAAidK8eXN9/PHHWr58uQwGg4xGo3bt2qX+/furbdu21o6XYM72tnK2579IAIDkZ9euXZo0aZJWr16tx48fy93dXU5OTrp9+7YiIyOVO3dude7cWe+//77F1DUAgP/hNnkAAJAoo0aNUsGCBeXj46P79+/L399fFStW1FtvvaVBgwZZOx4AAKlCvXr11KxZM/n6+mrjxo26d++ebt26pYsXLyoiIkKnT5/WoEGDtGXLFuXPn1+bNm2ydmQASJYY9gAAABLF3t5eM2bM0ODBg3Xs2DHdv39fxYsXV758+awdDQCAVKNOnTr64YcfZGdnF+fy3LlzK3fu3GrXrp2OHz+uK1euvOaEAJAyUAwFAABJImfOnPLx8ZEk5tEEACCJdenSJd7r+vv7y9/f/xWmAYCUi9vkAQBAos2aNUtFihSRo6OjHB0dVaRIEc2cOdPasQAAAADAAiNDAQBAogwZMkQTJkxQz549VbZsWUnSnj171LdvX4WGhuqzzz6zckIAANKGI0eO6I033lBMTIy1owBAskUxFAAAJMq0adM0Y8YMtWjRwtxWr149FStWTD179qQYCgDAa2QymawdAQCSNW6TBwAAifL48WOVLFkyVnuJEiUUHR2d4P6mTJkiX19fOTo6qnTp0vrjjz+eu/7EiRNVoEABOTk5ycfHR3379tWjR48SvF8AAJK7Ro0aPffVr1+/l5q3m3MvgLSEYigAAEiUNm3aaNq0abHav/vuO7Vq1SpBfS1dulT9+vXT0KFDdfDgQQUEBCg4OFjXr1+Pc/3FixdrwIABGjp0qE6cOKFZs2Zp6dKl+uSTT17qWAAASM5Wr16tR48eyd3dPc6Xi4tLgvvk3AsgreE2eQAAkGD9+vUz/9lgMGjmzJnauHGjypQpI0nau3evQkND1bZt2wT1O2HCBHXq1EkdOnSQJE2fPl2//PKLZs+erQEDBsRaf/fu3SpXrpxatmwpSfL19VWLFi20d+/eZ+4jMjJSkZGR5vfh4eEJyggAgLUUKlRIjRs31rvvvhvn8sOHD2vNmjUJ6pNzL4C0hpGhAAAgwQ4dOmR+/fnnnypRooQ8PT115swZnTlzRpkzZ9Ybb7yhv/76K959RkVF6cCBAwoKCjK32djYKCgoSHv27Ilzm7feeksHDhww38539uxZrV27VrVr137mfkaPHm0xisbHxyfeGQEAsKYSJUro4MGDz1zu4OCgnDlzxrs/zr0A0iJGhgIAgATbunVrkvd58+ZNxcTEKEuWLBbtWbJk0cmTJ+PcpmXLlrp586bKly8vk8mk6Ohovf/++8+9VW/gwIEWI1vDw8O5KAMApAjTp09/7pPiCxUqpJCQkHj3x7kXQFrEyFAAAJBibdu2TaNGjdLUqVN18OBBrVy5Ur/88os+//zzZ27j4OAgNzc3ixcAACmBg4ODnJ2drZqBcy+AlI6RoQAAINH279+vZcuWKTQ0VFFRURbLVq5cGa8+MmfOLFtbW127ds2i/dq1a/L29o5zm8GDB6tNmzZ67733JElFixbVgwcP1LlzZ3366aeyseF7XwAAnoVzL4C0iN9SAAAgUZYsWaK33npLJ06c0I8//qjHjx/rr7/+0q+//ip3d/d492Nvb68SJUpoy5Yt5jaj0agtW7aobNmycW4TERER66LL1tZWkmQymV7iaAAASDs49wJIixgZCgAAEmXUqFH66quv1L17d7m6umrSpEny8/NTly5dlDVr1gT11a9fP7Vr104lS5ZUqVKlNHHiRD148MD8hNu2bdsqe/bsGj16tCSpbt26mjBhgooXL67SpUvrn3/+0eDBg1W3bl3zhRkAAHg2zr0A0hqKoQAAIFHOnDmjOnXqSHoywuTBgwcyGAzq27evqlatquHDh8e7r2bNmunGjRsaMmSIrl69qsDAQK1fv978YIfQ0FCL0SiDBg2SwWDQoEGDdOnSJXl6eqpu3boaOXJk0h4kAACpFOdeAGkNxVBY3cpVO7V3/0ldunJL9nbpVCBfDrVuXk3Zs2Y2rxMVFa15izdp196/FP04WgFF86hT+1rK4O5ixeSwhknzNmrt9qM6ff6aHB3s9GZRPw3uVk95c2V58cYAXgkPDw/du3dPkpQ9e3YdO3ZMRYsWVVhYmCIiIhLcX48ePdSjR484l23bts3ifbp06TR06FANHTo0wfsBAABPcO4FkJYwZ2gSGjZsmAIDA60dI8U5fjJUNYPe1OihHTTk41aKiTHq87GL9ejR/x7AMXfRRh04/Lc+6NFYwz9tpzth9/TFpOVWTA1r2XPoH3VoXEFrZ/TT8kndFR0do2Z9purBw0hrRwPSrIoVK2rTpk2SpCZNmqh3797q1KmTWrRooWrVqlk5HQAAqdP8+fP1888/W7T9/PPPmj9/vpUSAUDKwMhQWN2gj1pavO/euZ7e7T5BZ89dkX/BXHoQ8Ui/bj+k3t0aqmhhvyfrdKqn3h9P09//XFT+vDmsERtWsmRiN4v3kwa1UuHan+royQsqWzyvlVIBadvkyZP16NEjSdKnn34qOzs77d69W40bN9agQYOsnA4AgNSpffv2KliwoOrXr29u+/jjj3X69Gm1bdvWiskAIHmjGIpkJ+L/R/i5pHeSJJ0NuaLoGKOKFc5tXid7tszKnMldp05TDE3r7t1/UoDJ4OZs5SRA2pUxY0bzn21sbDRgwAArpgEAIG0wGo2x2k6ePGmFJACQsqTq2+QrV66snj17qk+fPvLw8FCWLFk0Y8YM85PxXF1dlTdvXq1bt06SFBMTo3fffVd+fn5ycnJSgQIFNGnSJIs+t23bplKlSil9+vTKkCGDypUrp/Pnz8e5/zNnzih37tzq0aOHTCZTnOtERkYqPDzc4pWWGY0mzVm4UQXz+yinj5ckKezufaVLZ6v06R0t1s3gnl5hd+9bIyaSCaPRqEETV6pUsdwqlCebteMAacp/z13PewEAAABAcpHqR4bOmzdPH330kf744w8tXbpUXbt21Y8//qiGDRvqk08+0VdffaU2bdooNDRUdnZ2ypEjh5YvX65MmTJp9+7d6ty5s7JmzaqmTZsqOjpaDRo0UKdOnfT9998rKipKf/zxhwwGQ6z9Hj16VMHBwXr33Xc1YsSIZ+YbPXp0gp6ym9rNnLdOFy5e14jB7a0dBSnAgC+X69TZK1r1bW9rRwHSnAwZMsR5/vs3k8kkg8GgmJiY15QKAIDUKyFfMLq5ub3CJACQsqX6YmhAQIB5vrKBAwdqzJgxypw5szp16iRJGjJkiKZNm6ajR4+qTJkyFoVJPz8/7dmzR8uWLVPTpk0VHh6uu3fv6u2331aePHkkSYUKFYq1z927d+vtt9/Wp59+qg8++OC5+QYOHKh+/fqZ34eHh8vHxyfRx50SzZy3TgcOn9Znn7ZVpoz/O3lncHdRdHSMHjx4ZDE6NOzuA54mn4YN/HK5Nu36Sz9N661sXh7WjgOkOVu3brV2BAAA0hS+iASApJHqi6HFihUz/9nW1laZMmVS0aJFzW1ZsmSRJF2/fl2SNGXKFM2ePVuhoaF6+PChoqKizE+Iz5gxo9q3b6/g4GBVr15dQUFBatq0qbJmzWruLzQ0VNWrV9fIkSPVp0+fF+ZzcHCQg4NDEhxpymUymTRr/nr9ceCUhn/SRln+U9jK7ZdV6Wxt9OfxEJV580nx+dKVm7p5664K5GO+0LTGZDLpk/ErtHb7Uf04tadyZctk7UhAmlSpUiVrRwAAIE3hi0gASBqpvhhqZ2dn8d5gMFi0Pf1mzWg0asmSJerfv7/Gjx+vsmXLytXVVV988YX27t1rXn/OnDnq1auX1q9fr6VLl2rQoEHatGmTypQpI0ny9PRUtmzZ9P3336tjx47cnhAPM+et0449x/Rxn2ZydHTQnbAn84A6OzvIwd5O6Z0dVbVScc1dtEku6Z3k5OSgWfPXK3/eHDw8KQ0a8OVyrdx4QPPGvicXZ0ddv/XkdiHX9I5ycrS3cjoAAADg1eCLSABpjZOdrY5/FixJevzwQZL1m+qLoQmxa9cuvfXWW+rWrZu57cyZM7HWK168uIoXL66BAweqbNmyWrx4sbkY6uTkpDVr1qh27doKDg7Wxo0b5erq+tqOISXasOWAJGnoqPkW7d071VOVigGSpPatashgMOjLr5fr8eMYBRTLrU7tar/2rLC+uSt3SpIadv/Gon3SoFZqXqe0NSIBAAAAr92OHTv07bff6uzZs1q+fLmyZ8+uBQsWyM/PT+XLl7d2PABINIPBIGf7J6XL8EfPnyYkISiG/ku+fPk0f/58bdiwQX5+flqwYIH27dsnPz8/SVJISIi+++471atXT9myZdOpU6d0+vRptW3b1qKf9OnT65dfflGtWrVUq1YtrV+/Xi4uzG35LCsWDH7hOvb26dSpfS11al/rNSRCcnZtz9fWjgAAAABY1Q8//KA2bdqoVatWOnjwoCIjIyVJd+/e1ahRo7R27VorJwSA5MvG2gGSky5duqhRo0Zq1qyZSpcurVu3blmMEnV2dtbJkyfVuHFj5c+fX507d1b37t3VpUuXWH25uLho3bp1MplMqlOnjh48SLrhvAAAAACAtGvEiBGaPn26ZsyYYTENXLly5XTw4EErJgOA5M9gMplM1g6B/wkPD5e7u7uW7TktZxdur4elCnk9rR0ByVR4eLh8snjo7t27zFUMq4iOjta2bdt05swZtWzZUq6urrp8+bLc3NyS/d0RT8+9Pn2WycbBWcc/CzbfjgMAz/L0dwfnXliDs7Ozjh8/Ll9fX7m6uurIkSPKnTu3zp49K39/fz169MjaEZ+Lfz8AEiopf2/wP30AAJAo58+fV82aNRUaGqrIyEhVr15drq6uGjt2rCIjIzV9+nRrRwQAIFXx9vbWP//8I19fX4v2nTt3Knfu3NYJBQApBLfJAwCAROndu7dKliypO3fuyMnJydzesGFDbdmyxYrJAABInTp16qTevXtr7969MhgMunz5shYtWqT+/fura9eu1o4HAMkaI0MBAECi7NixQ7t375a9vb1Fu6+vry5dumSlVAAApF4DBgyQ0WhUtWrVFBERoYoVK8rBwUH9+/dXz549rR0PAJI1iqEAACBRjEajYmJiYrVfvHhRrq7Mfw0AQFIzGAz69NNP9eGHH+qff/7R/fv35e/vn+zn6QaA5IDb5AEAQKLUqFFDEydONL83GAy6f/++hg4dqtq1a1svGAAAqZy9vb1cXV2VNWtWCqEAEE8UQwEAQKKMHz9eu3btMj+9tmXLluZb5MeOHWvteAAApDrR0dEaPHiw3N3d5evrK19fX7m7u2vQoEF6/PixteMBQLLGbfIAACBRcuTIoSNHjmjJkiU6evSo7t+/r3fffVetWrWyeKASAABIGj179tTKlSs1btw4lS1bVpK0Z88eDRs2TLdu3dK0adOsnBAAki+KoQAAIFEePXokR0dHtW7d2tpRAABIExYvXqwlS5aoVq1a5rZixYrJx8dHLVq0oBgKAM/BbfIAACBRvLy81K5dO23atElGo9HacQAASPUcHBzk6+sbq93Pz0/29vavPxAApCAUQwEAQKLMmzdPERERql+/vrJnz64+ffpo//791o4FAECq1aNHD33++eeKjIw0t0VGRmrkyJHq0aOHFZMBQPLHbfIAACBRGjZsqIYNG+revXtasWKFvv/+e5UpU0a5c+dW69atNWTIEGtHBAAgxWvUqJHF+82bNytHjhwKCAiQJB05ckRRUVGqVq2aNeIBQIpBMRQAACQJV1dXdejQQR06dNDx48fVqlUrDR8+nGIoAABJwN3d3eJ948aNLd77+Pi8zjgAkGJRDAUAAEni0aNHWrVqlRYvXqz169crS5Ys+vDDD60dCwCAVGHOnDnWjgAAqQLFUAAAkCgbNmzQ4sWL9dNPPyldunR65513tHHjRlWsWNHa0QAAAADAAsVQAACQKA0bNtTbb7+t+fPnq3bt2rKzs7N2JAAAUr0VK1Zo2bJlCg0NVVRUlMWygwcPWikVACR/PE0eAAAkyrVr17Rs2TLVr1+fQigAAK/B119/rQ4dOihLliw6dOiQSpUqpUyZMuns2bOqVauWteMBQLLGyFAAAJBg4eHhcnNzkySZTCaFh4c/c92n6wEAgKQxdepUfffdd2rRooXmzp2rjz76SLlz59aQIUN0+/Zta8cDgGSNYigAAEgwDw8PXblyRV5eXsqQIYMMBkOsdUwmkwwGg2JiYqyQEACA1Cs0NFRvvfWWJMnJyUn37t2TJLVp00ZlypTR5MmTrRkPAJI1iqEAACDBfv31V2XMmFGStHXrViunAQAgbfH29tbt27eVK1cu5cyZU7///rsCAgIUEhIik8lk7XgAkKxRDAUAAAlWqVIl85/9/Pzk4+MTa3SoyWTShQsXXnc0AABSvapVq2rVqlUqXry4OnTooL59+2rFihXav3+/GjVqZO14AJCsUQwFAACJ4ufnZ75l/t9u374tPz8/bpMHACCJfffddzIajZKk7t27K1OmTNq9e7fq1aunLl26WDkdACRvFEMBAECiPJ0b9L/u378vR0dHKyQCACB1s7GxkY2Njfl98+bN1bx5cysmAoCUg2IoAAB4Kf369ZMkGQwGDR48WM7OzuZlMTEx2rt3rwIDA62UDgCA1OXo0aPxXrdYsWKvMAkApGwUQwEAwEs5dOiQpCcjQ//880/Z29ubl9nb2ysgIED9+/e3VjwAAFKVwMBAGQyGFz4gyWAwMEUNADwHxVAAAPBSnj5FvkOHDpo0aZLc3NysnAgAgNQrJCTE2hEAIFWgGAoAABJlzpw51o4AAECqlytXLmtHAIBUgWIoAABIsEaNGmnu3Llyc3NTo0aNnrvuypUrX1MqAAAAAHg+iqEAACDB3N3dzU+Qd3d3t3IaAAAAAIgfiqEAACDB/n1rPLfJAwAAAEgp4lUMXbVqVbw7rFev3kuHAQAAKc/Dhw9lMpnk7OwsSTp//rx+/PFH+fv7q0aNGlZOBwAAAAD/YxOflRo0aBCvV8OGDV91XgAAkMzUr19f8+fPlySFhYWpVKlSGj9+vOrXr69p06YluL8pU6bI19dXjo6OKl26tP7444/nrh8WFqbu3bsra9ascnBwUP78+bV27dqXOhYAAFKKsLAwzZw5UwMHDtTt27clSQcPHtSlS5cS3BfnXgBpSbyKoUajMV6vmJiYV50XAAAkMwcPHlSFChUkSStWrJC3t7fOnz+v+fPn6+uvv05QX0uXLlW/fv00dOhQHTx4UAEBAQoODtb169fjXD8qKkrVq1fXuXPntGLFCp06dUozZsxQ9uzZE31cAAAkV0ePHlX+/Pk1duxYffnllwoLC5P05KGFAwcOTFBfnHsBpDXxKoY+y6NHj5IqBwAASKEiIiLk6uoqSdq4caMaNWokGxsblSlTRufPn09QXxMmTFCnTp3UoUMH+fv7a/r06XJ2dtbs2bPjXH/27Nm6ffu2fvrpJ5UrV06+vr6qVKmSAgICEn1cAAAkV/369VP79u11+vRpOTo6mttr166t3377LUF9ce4FkNYkuBgaExOjzz//XNmzZ5eLi4vOnj0rSRo8eLBmzZqV5AEBAEDyljdvXv3000+6cOGCNmzYYJ4n9Pr163Jzc4t3P1FRUTpw4ICCgoLMbTY2NgoKCtKePXvi3GbVqlUqW7asunfvrixZsqhIkSIaNWrUc+9WiYyMVHh4uMULAICUZN++ferSpUus9uzZs+vq1avx7odzL4C0KMHF0JEjR2ru3LkaN26c7O3tze1FihTRzJkzkzQcAABI/oYMGaL+/fvL19dXpUqVUtmyZSU9GSVavHjxePdz8+ZNxcTEKEuWLBbtWbJkeeaF3dmzZ7VixQrFxMRo7dq1Gjx4sMaPH68RI0Y8cz+jR4+Wu7u7+eXj4xPvjAAAJAcODg5xFhT//vtveXp6xrsfzr0A0qIEF0Pnz5+v7777Tq1atZKtra25PSAgQCdPnkzScAAAIPl75513FBoaqv3792vDhg3m9mrVqumrr756pfs2Go3y8vLSd999pxIlSqhZs2b69NNPNX369GduM3DgQN29e9f8unDhwivNCABAUqtXr54+++wzPX78WJJkMBgUGhqqjz/+WI0bN36l++bcCyClS5fQDS5duqS8efPGajcajeZfxAAAIG3x9vaWt7e3Ll68KEnKkSOHSpUqlaA+MmfOLFtbW127ds2i/dq1a/L29o5zm6xZs8rOzs7iC9pChQrp6tWrioqKsriL5SkHBwc5ODgkKBsAAMnJ+PHj9c4778jLy0sPHz5UpUqVdPXqVZUtW1YjR46Mdz+cewGkRQkeGerv768dO3bEal+xYkWCboUDAACpg9Fo1GeffSZ3d3flypVLuXLlUoYMGfT555/LaDTGux97e3uVKFFCW7Zsseh7y5Yt5lvv/6tcuXL6559/LPbz999/K2vWrHFejAEAkBq4u7tr06ZNWr16tb7++mv16NFDa9eu1fbt25U+ffp498O5F0BalOCRoUOGDFG7du106dIlGY1GrVy5UqdOndL8+fO1Zs2aV5ERAAAkY59++qlmzZqlMWPGqFy5cpKknTt3atiwYXr06FGCRqj069dP7dq1U8mSJVWqVClNnDhRDx48UIcOHSRJbdu2Vfbs2TV69GhJUteuXTV58mT17t1bPXv21OnTpzVq1Cj16tUr6Q8UAIBk4sKFC/Lx8VH58uVVvnz5RPXFuRdAWpPgYmj9+vW1evVqffbZZ0qfPr2GDBmiN954Q6tXr1b16tVfRUYAAJCMzZs3TzNnzlS9evXMbcWKFVP27NnVrVu3BBVDmzVrphs3bmjIkCG6evWqAgMDtX79evODHUJDQ2Vj878bW3x8fLRhwwb17dvXvM/evXvr448/TroDBAAgmfH19VX58uXVunVrvfPOO/Lw8Hjpvjj3AkhrDCaTyWTtEPif8PBwubu7a9me03J2cbV2HCQzFfLG/8mQSFvCw8Plk8VDd+/elZubm7XjII1xdHTU0aNHlT9/fov2U6dOKTAwUA8fPrRSsvh5eu716bNMNg7OOv5ZsJztE/x9MYA05unvDs69sIZDhw5p8eLFWrJkiW7cuKGaNWuqdevWqlu3boqYm5N/PwASKil/byR4ztCn9u/frwULFmjBggU6cOBAokIAAICUKyAgQJMnT47VPnnyZAUEBFghEQAAqVvx4sX1xRdfKDQ0VOvWrZOnp6c6d+6sLFmyqGPHjtaOBwDJWoKHPVy8eFEtWrTQrl27lCFDBklSWFiY3nrrLS1ZskQ5cuRI6owAACAZGzdunOrUqaPNmzebH7awZ88eXbhwQWvXrrVyOgAAUi+DwaAqVaqoSpUq6tq1q959913NmzdPs2fPtnY0AEi2Ejwy9L333tPjx4914sQJ3b59W7dv39aJEydkNBr13nvvvYqMAAAgGatUqZL+/vtvNWrUSGFhYQoLC1OjRo106tQpVahQwdrxAABItS5evKhx48YpMDBQpUqVkouLi6ZMmWLtWACQrCV4ZOj27du1e/duFShQwNxWoEABffPNN1zwAACQxpw7d06bNm1SVFSUmjdvriJFilg7EgAAqd63336rxYsXa9euXSpYsKBatWqln3/+Wbly5bJ2NABI9hJcDPXx8dHjx49jtcfExChbtmxJEgoAACR/W7du1dtvv21+QFK6dOk0e/ZstW7d2srJAABI3UaMGKEWLVro66+/Zn5uAEigBN8m/8UXX6hnz57av3+/uW3//v3q3bu3vvzyyyQNBwAAkq/BgwerevXqunTpkm7duqVOnTrpo48+snYsAABSvdDQUI0bN45CKAC8hHiNDPXw8JDBYDC/f/DggUqXLq106Z5sHh0drXTp0qljx45q0KDBKwkKAACSl2PHjmn37t3KmjWrpCdfmH777be6deuWMmXKZOV0AACkLkePHlWRIkVkY2OjP//887nrFitW7DWlAoCUJ17F0IkTJ77iGAAAIKUJDw9X5syZze+dnZ3l5OSku3fvUgwFACCJBQYG6urVq/Ly8lJgYKAMBoNMJpN5+dP3BoNBMTExVkwKAMlbvIqh7dq1e9U5AABACrRhwwa5u7ub3xuNRm3ZskXHjh0zt9WrV88a0QAASFVCQkLk6elp/jMA4OUk+AFK//bo0SNFRUVZtLm5uSUqEAAASDni+sK0S5cu5j8zOgUAgKTx7yfFnz9/Xm+99ZZ56rqnoqOjtXv3bp4qDwDPkeAHKD148EA9evSQl5eX0qdPLw8PD4sXAABIG4xG4wtfFEIBAEh6VapU0e3bt2O13717V1WqVLFCIgBIORJcDP3oo4/066+/atq0aXJwcNDMmTM1fPhwZcuWTfPnz38VGQEAAAAAwP97Ojfof926dUvp06e3QiIASDkSfJv86tWrNX/+fFWuXFkdOnRQhQoVlDdvXuXKlUuLFi1Sq1atXkVOAACQjPz+++8qU6ZMvNaNiIhQSEiIChcu/IpTAQCQujVq1EjSk2lo2rdvLwcHB/OymJgYHT16VG+99Za14gFAipDgkaG3b99W7ty5JT2ZH/Tp0Pzy5cvrt99+S9p0AAAgWWrTpo2Cg4O1fPlyPXjwIM51jh8/rk8++UR58uTRgQMHXnNCAABSH3d3d7m7u8tkMsnV1dX83t3dXd7e3urcubMWLlxo7ZgAkKwleGRo7ty5FRISopw5c6pgwYJatmyZSpUqpdWrVytDhgyvICIAAEhujh8/rmnTpmnQoEFq2bKl8ufPr2zZssnR0VF37tzRyZMndf/+fTVs2FAbN25U0aJFrR0ZAIAUb86cOZIkX19f9e/fn1viAeAlJLgY2qFDBx05ckSVKlXSgAEDVLduXU2ePFmPHz/WhAkTXkVGAACQzNjZ2alXr17q1auX9u/fr507d+r8+fN6+PChAgIC1LdvX1WpUkUZM2a0dlQAAFKdoUOHWjsCAKRYCS6G9u3b1/znoKAgnTx5UgcOHFDevHlVrFixJA0HAACSv5IlS6pkyZLWjgEAQKr2xhtvaMuWLfLw8FDx4sXjfIDSUwcPHnyNyQAgZUlwMfS/cuXKpVy5ciVFFgAAAAAAEIf69eubH5jUoEED64YBgBQsXsXQr7/+Ot4d9urV66XDAAAAAACA2P59azy3yQPAy4tXMfSrr76KV2cGg4FiaBKplN9Lbm5u1o6BZMbjzR7WjoBkyhQTZe0IAAAAeE0uXLggg8GgHDlySJL++OMPLV68WP7+/urcubOV0wFA8havYmhISMirzgEAAAAAAOKhZcuW6ty5s9q0aaOrV68qKChIRYoU0aJFi3T16lUNGTLE2hEBINmysXYAAACQejx69MjaEQAASPWOHTumUqVKSZKWLVumokWLavfu3Vq0aJHmzp1r3XAAkMxRDAUAAIliNBr1+eefK3v27HJxcdHZs2clSYMHD9asWbOsnA4AgNTn8ePH5ocpbd68WfXq1ZMkFSxYUFeuXLFmNABI9iiGAgCARBkxYoTmzp2rcePGyd7e3txepEgRzZw504rJAABInQoXLqzp06drx44d2rRpk2rWrClJunz5sjJlymTldACQvFEMBQAAiTJ//nx99913atWqlWxtbc3tAQEBOnnypBWTAQCQOo0dO1bffvutKleurBYtWiggIECStGrVKvPt8wCAuMXrAUoAAADPcunSJeXNmzdWu9Fo1OPHj62QCACA1K1y5cq6efOmwsPD5eHhYW7v3LmznJ2drZgMAJK/lxoZumPHDrVu3Vply5bVpUuXJEkLFizQzp07kzQcAABI/vz9/bVjx45Y7StWrFDx4sWtkAgAgNTP1tZW0dHR2rlzp3bu3KkbN27I19dXXl5e1o4GAMlagkeG/vDDD2rTpo1atWqlQ4cOKTIyUpJ09+5djRo1SmvXrk3ykAAAIPkaMmSI2rVrp0uXLsloNGrlypU6deqU5s+frzVr1lg7HgAAqc6DBw/Us2dPzZ8/X0ajUdKT4mjbtm31zTffMDoUAJ4jwSNDR4wYoenTp2vGjBmys7Mzt5crV04HDx5M0nAAACD5q1+/vlavXq3Nmzcrffr0GjJkiE6cOKHVq1erevXq1o4HAECq069fP23fvl2rV69WWFiYwsLC9PPPP2v79u364IMPrB0PAJK1BI8MPXXqlCpWrBir3d3dXWFhYUmRCQAApDAVKlTQpk2brB0DAIA04YcfftCKFStUuXJlc1vt2rXl5OSkpk2batq0adYLBwDJXIJHhnp7e+uff/6J1b5z507lzp07SUIBAICUI3fu3Lp161as9rCwMP5vAADAKxAREaEsWbLEavfy8lJERIQVEgFAypHgYminTp3Uu3dv7d27VwaDQZcvX9aiRYvUv39/de3a9VVkBAAAydi5c+cUExMTqz0yMtL8oEUAAJB0ypYtq6FDh+rRo0fmtocPH2r48OEqW7asFZMBQPKX4NvkBwwYIKPRqGrVqikiIkIVK1aUg4OD+vfvr549e76KjAAAIBlatWqV+c8bNmyQu7u7+X1MTIy2bNkiX19fKyQDACB1mzhxooKDg5UjRw4FBARIko4cOSJHR0dt2LDByukAIHlLcDHUYDDo008/1Ycffqh//vlH9+/fl7+/v1xcXF5FPgAAkEw1aNBA0pP/G7Rr185imZ2dnXx9fTV+/HgrJAMAIHUrWrSo/vnnHy1evFgnTpyQJLVo0UKtWrWSk5OTldMBQPKW4GLoU/b29vL390/KLAAAIAUxGo2SJD8/P+3bt0+ZM2e2ciIAAFK/33//XatXr1ZUVJSqVq2q9957z9qRACBFSXAxtEqVKjIYDM9c/uuvvyYqEAAASFlCQkKsHQEAgDRhxYoVatasmZycnGRnZ6cJEyZo7Nix6t+/v7WjAUCKkeBiaGBgoMX7x48f6/Dhwzp27FisW+QAAEDa8ODBA23fvl2hoaGKioqyWNarVy8rpQIAIHUZPXq0OnXqpClTpsjW1lajR4/WqFGjKIYCQAIkuBj61Vdfxdk+bNgw3b9/P9GBAABAynLo0CHVrl1bERERevDggTJmzKibN2/K2dlZXl5eFEMBAEgip06d0tKlS2VraytJ+uCDDzRkyBBdv35dXl5eVk4HACmDTVJ11Lp1a82ePTupugMAAClE3759VbduXd25c0dOTk76/fffdf78eZUoUUJffvmlteMBAJBqREREyM3Nzfze3t5ejo6ODEwCgAR46Qco/deePXvk6OiYVN0BAIAU4vDhw/r2229lY2MjW1tbRUZGKnfu3Bo3bpzatWunRo0aWTsiAACpxsyZM+Xi4mJ+Hx0drblz51o8yJC7MgDg2RJcDP3vBY3JZNKVK1e0f/9+DR48OMmCAQCAlMHOzk42Nk9uNvHy8lJoaKgKFSokd3d3XbhwwcrpAABIPXLmzKkZM2ZYtHl7e2vBggXm9waDgWIoADxHgouh7u7uFu9tbGxUoEABffbZZ6pRo0aSBQMAAClD8eLFtW/fPuXLl0+VKlXSkCFDdPPmTS1YsEBFihSxdjwAAFKNc+fOWTsCAKR4CZozNCYmRh06dNCECRM0Z84czZkzR7NmzdKYMWMohAIAkEaNGjVKWbNmlSSNHDlSHh4e6tq1q27cuKFvv/02wf1NmTJFvr6+cnR0VOnSpfXHH3/Ea7slS5bIYDCoQYMGCd4nAABpGedeAGlJgoqhtra2qlGjhsLCwl5RHAAAkNKULFlSVapUkfTkNvn169crPDxcBw4cUGBgYIL6Wrp0qfr166ehQ4fq4MGDCggIUHBwsK5fv/7c7c6dO6f+/furQoUKL3sYAAAka0uWLIn3uhcuXNCuXbvitS7nXgBpTYKfJl+kSBGdPXv2VWQBAACpyMGDB/X2228naJsJEyaoU6dO6tChg/z9/TV9+nQ5Oztr9uzZz9wmJiZGrVq10vDhw5U7d+7ExgYAIFmaNm2aChUqpHHjxunEiROxlt+9e1dr165Vy5Yt9cYbb+jWrVvx6pdzL4C0JsHF0BEjRqh///5as2aNrly5ovDwcIsXAABIOzZs2KD+/fvrk08+MX9ZevLkSTVo0EBvvvmmjEZjvPuKiorSgQMHFBQUZG6zsbFRUFCQ9uzZ88ztPvvsM3l5eendd9+N134iIyP5/wsAIMXZvn27xo4dq02bNqlIkSJyc3NTvnz5VLRoUeXIkUOZMmVSx44dlTNnTh07dkz16tV7YZ+cewGkRfF+gNJnn32mDz74QLVr15Yk1atXTwaDwbzcZDLJYDAoJiYm6VMCAIBkZ9asWerUqZMyZsyoO3fuaObMmZowYYJ69uypZs2a6dixYypUqFC8+7t586ZiYmKUJUsWi/YsWbLo5MmTcW6zc+dOzZo1S4cPH473fkaPHq3hw4fHe30AAJKLevXqqV69erp586Z27typ8+fP6+HDh8qcObOKFy+u4sWLy8Ym/mOeOPcCSIviXQwdPny43n//fW3duvVV5gEAACnEpEmTNHbsWH344Yf64Ycf1KRJE02dOlV//vmncuTI8cr3f+/ePbVp00YzZsxQ5syZ473dwIED1a9fP/P78PBw+fj4vIqIAAC8EpkzZ7bKQ4s49wJIDeJdDDWZTJKkSpUqvbIwAAAg5Thz5oyaNGkiSWrUqJHSpUunL7744qULoZkzZ5atra2uXbtm0X7t2jV5e3vHuf9z586pbt265rant+WnS5dOp06dUp48eWJt5+DgIAcHh5fKCABAasK5F0BalKA5Q/99WzwAAEjbHj58KGdnZ0lP/o/g4OCgrFmzvnR/9vb2KlGihLZs2WJuMxqN2rJli8qWLRtr/YIFC+rPP//U4cOHza969eqpSpUqOnz4MCNOAAB4Ac69ANKieI8MlaT8+fO/sCB6+/btRAUCAAApx8yZM+Xi4iJJio6O1ty5c2PdNterV69499evXz+1a9dOJUuWVKlSpTRx4kQ9ePBAHTp0kCS1bdtW2bNn1+jRo+Xo6KgiRYpYbJ8hQwZJitUOAADixrkXQFqToGLo8OHD5e7u/qqyAACAFCRnzpyaMWOG+b23t7cWLFhgsY7BYEhQMbRZs2a6ceOGhgwZoqtXryowMFDr1683P9ghNDQ0QQ+GAAAAz8e5F0BaYzA9nQz0BWxsbHT16lV5eXm96kxpWnh4uNzd3XXt1l25ublZOw6SGY83e1g7ApIpU0yUIv+cobt3+d0BJNTTc69Pn2WycXDW8c+C5WyfoO+LAaRBT393cO4FEo5/PwASKil/b8T7f/rMFwoAAAAAgPXFxMRo7ty52rJli65fv25+iNFTv/76q5WSAUDyl+CnyQMAAAAAAOvp3bu35s6dqzp16qhIkSIMXgKABIh3MfS/3zQBAAAAAIDXb8mSJVq2bJlq165t7SgAkOIwCzIAAAAAACmIvb298ubNa+0YAJAiUQwFAAAAACAF+eCDDzRp0iSmswOAl8CjUgEAQKKdOXNGc+bM0ZkzZzRp0iR5eXlp3bp1ypkzpwoXLmzteAAApCo7d+7U1q1btW7dOhUuXFh2dnYWy1euXGmlZACQ/DEyFAAAJMr27dtVtGhR7d27VytXrtT9+/clSUeOHNHQoUOtnA4AgNQnQ4YMatiwoSpVqqTMmTPL3d3d4gUAeDZGhgIAgEQZMGCARowYoX79+snV1dXcXrVqVU2ePNmKyQAASJ3mzJlj7QgAkGJRDAUAAIny559/avHixbHavby8dPPmTSskAgAgbbhx44ZOnTolSSpQoIA8PT2tnAgAkj9ukwcAAImSIUMGXblyJVb7oUOHlD17diskAgAgdXvw4IE6duyorFmzqmLFiqpYsaKyZcumd999VxEREdaOBwDJGsVQAACQKM2bN9fHH3+sq1evymAwyGg0ateuXerfv7/atm1r7XgAAKQ6/fr10/bt27V69WqFhYUpLCxMP//8s7Zv364PPvjA2vEAIFnjNnkAAJAoo0aNUvfu3eXj46OYmBj5+/srJiZGLVu21KBBg6wdDwCAVOeHH37QihUrVLlyZXNb7dq15eTkpKZNm2ratGnWCwcAyRzFUAAAkCj29vaaMWOGBg8erGPHjun+/fsqXry48uXLZ+1oAACkShEREcqSJUusdi8vL26TB4AXoBgKAAASZefOnSpfvrxy5sypnDlzWjsOAACpXtmyZTV06FDNnz9fjo6OkqSHDx9q+PDhKlu2rJXTAUDyRjEUAAAkStWqVZU9e3a1aNFCrVu3lr+/v7UjAQCQqk2aNEnBwcHKkSOHAgICJElHjhyRo6OjNmzYYOV0AJC88QAlAACQKJcvX9YHH3yg7du3q0iRIgoMDNQXX3yhixcvWjsaAACpUpEiRXT69GmNHj1agYGBCgwM1JgxY3T69GkVLlzY2vEAIFljZCgAAEiUzJkzq0ePHurRo4dCQkK0ePFizZs3TwMHDlTFihX166+/WjsiAACpjrOzszp16mTtGACQ4lAMBQAAScbPz08DBgxQQECABg8erO3bt1s7EgAAqcKqVatUq1Yt2dnZadWqVc9dt169eq8pFQCkPBRDAQBAkti1a5cWLVqkFStW6NGjR6pfv75Gjx5t7VgAAKQKDRo00NWrV+Xl5aUGDRo8cz2DwaCYmJjXFwwAUhiKoQAAIFEGDhyoJUuW6PLly6pevbomTZqk+vXry9nZ2drRAABINYxGY5x/BgAkDMVQAACQKL/99ps+/PBDNW3aVJkzZ7Z2HAAA0qSwsDBlyJDB2jEAINnjafIAACBRdu3apW7dulEIBQDgNRk7dqyWLl1qft+kSRNlzJhR2bNn15EjR6yYDACSP0aGAgCABOMhDgAAWM/06dO1aNEiSdKmTZu0efNmrV+/XsuWLdOHH36ojRs3WjkhACRfFEMBAECC8RAHAACs5+rVq/Lx8ZEkrVmzRk2bNlWNGjXk6+ur0qVLWzkdACRv3CYPAAASzGg0ysvLy/znZ70ohAIAkPQ8PDx04cIFSdL69esVFBQkSTKZTJx7AeAFKIYCAIBEmT9/viIjI2O1R0VFaf78+VZIBABA6taoUSO1bNlS1atX161bt1SrVi1J0qFDh5Q3b14rpwOA5I1iKAAASJQOHTro7t27sdrv3bunDh06WCERAACp21dffaUePXrI399fmzZtkouLiyTpypUr6tatm5XTAUDyxpyhAAAgUUwmkwwGQ6z2ixcvyt3d3QqJAABI3ezs7NS/f/9Y7X379rVCGgBIWSiGAgCAl1K8eHEZDAYZDAZVq1ZN6dL9778VMTExCgkJUc2aNa2YEACA1GPVqlWqVauW7OzstGrVqueuW69evdeUCgBSHoqhSWjbtm2qUqWK7ty5owwZMlg7Too3Y9l2fbNwi67fCleRfNk19sMmKlHY19qx8Jpl9XTXsJ71FVS2sJwc7RRy8aa6f7ZQh0+ESpKmDG2tlm+Xsdhm857jatJrqjXiAmnK06fIHz58WMHBweZb9CTJ3t5evr6+aty4sZXSAQCQujRo0EBXr16Vl5eX+RwcF4PBwEOUAOA5KIYiWVq58YAGTfxREwY0U4kivpr+/VY17jlF+1YMkWdGV2vHw2vi7uqk9TP7aceB02rSe6puht1XHh9PhYVHWKy3efdf6v7ZQvP7yKjo1x0VSJOGDh0qSfL19VWzZs3k6Oho5UQAAKReRqMxzj8DABKGYiiSpamLf1XbBm+pVb2ykqQJA5tr466/tHDVHvVtX8PK6fC69GlXXZeu3VGPfxU6Qy/firVeZFS0rt+69zqjAfiXdu3aWTsCAAAAAMSLVZ8mX7lyZfXq1UsfffSRMmbMKG9vbw0bNsy8PDQ0VPXr15eLi4vc3NzUtGlTXbt2LV59Dxs2TIGBgZo9e7Zy5swpFxcXdevWTTExMRo3bpy8vb3l5eWlkSNHWmw3YcIEFS1aVOnTp5ePj4+6deum+/fvm5efP39edevWlYeHh9KnT6/ChQtr7dq1cWaIiIhQrVq1VK5cOYWFhSX480mroh5H6/DJC6pcqoC5zcbGRpVKFdC+P0OsmAyvW80KRXXoRKjmjO6ovzeM1vaFH6ttg7dirVe+RD79vWG0/lgxWOM/biYP9/RWSAukLRkzZtTNmzclSR4eHsqYMeMzXwAAIGn16tVLX3/9daz2yZMnq0+fPq8/EACkIFYfGTpv3jz169dPe/fu1Z49e9S+fXuVK1dO1apVMxdCt2/frujoaHXv3l3NmjXTtm3b4tX3mTNntG7dOq1fv15nzpzRO++8o7Nnzyp//vzavn27du/erY4dOyooKEilS5eW9KTo9vXXX8vPz09nz55Vt27d9NFHH2nq1CfzD3bv3l1RUVH67bfflD59eh0/ftxijrSnwsLCVKdOHbm4uGjTpk1ydnaOM2NkZKQiIyPN78PDwxP4CaY+t8LuKybGGOt2eM+Mbjp9Ln7FcKQOvtkzq2PjCpq6+FdNmLNRbxTOpTEfvKOoxzFa8steSdKW3Se0ZusRnb90S745Mmtwt7paPqmranQcL6PRZOUjAFKvr776Sq6uruY/x/U0eQAA8Gr88MMPcT5E6a233tKYMWM0ceLE1x8KAFIIqxdDixUrZp5zLF++fJo8ebK2bNkiSfrzzz8VEhIiHx8fSdL8+fNVuHBh7du3T2+++eYL+zYajZo9e7ZcXV3l7++vKlWq6NSpU1q7dq1sbGxUoEABjR07Vlu3bjUXQ//9LZqvr69GjBih999/31wMDQ0NVePGjVW0aFFJUu7cuWPt9+rVq2rWrJny5cunxYsXy97e/pkZR48ereHDh8fjkwLSHhsbgw6fCNXnU1dLkv78+6IK5c6qDo3Km4uhKzcdMK9//Mxl/fXPJR3+abjKl8in3/b9bZXcQFrw71vj27dvb70gAACkQbdu3ZK7u3usdjc3N/OdGwCAuFn1NnnpSTH037Jmzarr16/rxIkT8vHxMRdCJcnf318ZMmTQiRMn4tW3r6+vedSKJGXJkkX+/v6ysbGxaLt+/br5/ebNm1WtWjVlz55drq6uatOmjW7duqWIiCcPbOnVq5dGjBihcuXKaejQoTp69Gis/VavXl158+bV0qVLn1sIlaSBAwfq7t275teFCxfidWypWaYMLrK1tdGN25ZzQN64HS6vTG5WSgVruHYzXCfPXrVo+/vcVeXw9njmNucv3dLNO/eUO4fnq44H4P8dPHhQf/75p/n9zz//rAYNGuiTTz5RVFSUFZMBAJA65c2bV+vXr4/Vvm7dujgH7AAA/sfqxVA7OzuL9waDIcmejBdX38/b37lz5/T222+rWLFi+uGHH3TgwAFNmTJFkswXc++9957Onj2rNm3a6M8//1TJkiX1zTffWPRZp04d/fbbbzp+/PgLMzo4OMjNzc3ildbZ26VTYEEfbd93ytxmNBr1276/9WZRPysmw+u298hZ5cvlZdGWJ6eXLl69/cxtsnllUEb39Lp2iykngNelS5cu+vvvJyOxz549q2bNmsnZ2VnLly/XRx99ZOV0AACkPv369dNHH32koUOHavv27dq+fbuGDBmiAQMGqG/fvtaOBwDJmtWLoc9SqFAhXbhwwWKk5PHjxxUWFiZ/f/9Xss8DBw7IaDRq/PjxKlOmjPLnz6/Lly/HWs/Hx0fvv/++Vq5cqQ8++EAzZsywWD5mzBi1a9dO1apVi1dBFLF1a1lV83/are/X/K5TIVfVb8xSPXgYqVZ1y1g7Gl6jqd//qpJF/dSvfQ355cisd4JLql3Dcpq5/DdJUnone33Wq4FKFvGVT9aMqvhmfi36srPOXripLXviN4IcQOL9/fffCgwMlCQtX75clSpV0uLFizV37lz98MMP1g0HAEAq1LFjR40fP16zZs1SlSpVVKVKFS1cuFDTpk1Tp06drB0PAJI1q88Z+ixBQUEqWrSoWrVqpYkTJyo6OlrdunVTpUqVVLJkyVeyz7x58+rx48f65ptvVLduXe3atUvTp0+3WKdPnz6qVauW8ufPrzt37mjr1q0qVKhQrL6+/PJLxcTEqGrVqtq2bZsKFiz4SjKnVo1qlNDNsPsa9e0vun7rnormz64VX3fnNvk05tDxULX5cIaGdK+nD9+rpfOXb+mTCT9o+fr9kqQYo0n+ebOreZ3Scnd10tUbd/Xr3pMaNX2Noh5HWzk9kHaYTCbzXRabN2/W22+/LenJl4fMWwYAwKvRtWtXde3aVTdu3JCTk1OcD/YFAMSWbIuhBoNBP//8s3r27KmKFSvKxsZGNWvWjHVLelIKCAjQhAkTNHbsWA0cOFAVK1bU6NGj1bZtW/M6MTEx6t69uy5evCg3NzfVrFlTX331VZz9ffXVVxYF0fz587+y7KlR56aV1LlpJWvHgJVt2HlMG3Yei3PZo8jHeqfXlNecCMB/lSxZUiNGjFBQUJC2b9+uadOmSZJCQkKUJUsWK6cDACB1io6O1rZt23TmzBm1bNlSknT58mW5ublRGAWA5zCYTCaTtUPgf8LDw+Xu7q5rt+4yfyhi8Xizh7UjIJkyxUQp8s8ZunuX3x14/Y4ePapWrVopNDRU/fr109ChQyVJPXv21K1bt7R48WIrJ3y+p+denz7LZOPgrOOfBcvZPtl+XwwgmXj6u4NzL6zh/PnzqlmzpkJDQxUZGam///5buXPnVu/evRUZGRnrDsfkhn8/ABIqKX9v8D99AACQKMWKFbN4mvxTX3zxhWxtba2QCACA1K13794qWbKkjhw5okyZMpnbGzZsyJyhAPACyfYBSi9SuHBhubi4xPlatGiRteMBAJDmHDhwQAsXLtTChQt18OBBOTo6ys7OLsH9TJkyRb6+vnJ0dFTp0qX1xx9/PHPdGTNmqEKFCvLw8JCHh4eCgoKeuz4AAKnBjh07NGjQINnb21u0+/r66tKlSwnuj3MvgLQkxY4MXbt2rR4/fhznMuYnAwDg9bl+/bqaNWum7du3K0OGDJKksLAwValSRUuWLJGnp2e8+1q6dKn69eun6dOnq3Tp0po4caKCg4N16tQpeXl5xVp/27ZtatGihd566y05Ojpq7NixqlGjhv766y9lz549qQ4RAIBkxWg0KiYmJlb7xYsX5erqmqC+OPcCSGuYMzSZYc5QPA9zhuJZmDMU1tSsWTOdPXtW8+fPV6FChSRJx48fV7t27ZQ3b159//338e6rdOnSevPNNzV58mRJTy72fHx81LNnTw0YMOCF28fExMjDw0OTJ0+2eADi8zBnKICXwZyHsKZmzZrJ3d1d3333nVxdXXX06FF5enqqfv36ypkzp+bMmRPvvqx57uXfD4D4Ys5QAACQbKxfv16bN282F0Ilyd/fX1OmTFGNGjXi3U9UVJQOHDiggQMHmttsbGwUFBSkPXv2xKuPiIgIPX78WBkzZnzmOpGRkYqMjDS/Dw8Pj3dGAACSgy+//FI1a9aUv7+/Hj16pJYtW+r06dPKnDlzgr6E5NwLIC1KsXOGAgCA5MFoNMY5N6idnZ2MRmO8+7l586ZiYmJiTXeTJUsWXb16NV59fPzxx8qWLZuCgoKeuc7o0aPl7u5ufvn4+MQ7IwAAyYGPj4+OHDmiTz/9VH379lXx4sU1ZswYHTp0KM5b25+Fcy+AtIhiKAAASJSqVauqd+/eunz5srnt0qVL6tu3r6pVq/bacowZM0ZLlizRjz/+KEdHx2euN3DgQN29e9f8unDhwmvLCABAYj1+/Fh58uTR6dOn1apVK40bN05Tp07Ve++9Jycnp9eahXMvgJSI2+QBAECiTJ48WfXq1ZOvr695pMeFCxdUpEgRLVy4MN79ZM6cWba2trp27ZpF+7Vr1+Tt7f3cbb/88kuNGTNGmzdvVrFixZ67roODgxwcHOKdCwCA5MTOzk6PHj1Kkr449wJIixgZCgAAEsXHx0cHDx7U2rVr1adPH/Xp00dr167VwYMHlSNHjnj3Y29vrxIlSmjLli3mNqPRqC1btqhs2bLP3G7cuHH6/PPPtX79epUsWTJRxwIAQErQvXt3jR07VtHR0Ynqh3MvgLSIkaEAAOClLV26VKtWrVJUVJSqVaumnj17Jqq/fv36qV27dipZsqRKlSqliRMn6sGDB+rQoYMkqW3btsqePbtGjx4tSRo7dqyGDBmixYsXy9fX1zy/mYuLi1xcXBJ3cAAAJFP79u3Tli1btHHjRhUtWlTp06e3WL5y5cp498W5F0BaQzEUAAC8lGnTpql79+7Kly+fnJyctHLlSp05c0ZffPHFS/fZrFkz3bhxQ0OGDNHVq1cVGBio9evXmx/sEBoaKhub/93YMm3aNEVFRemdd96x6Gfo0KEaNmzYS+cAACA5y5Ahgxo3bpwkfXHuBZDWGEwmk8naIfA/4eHhcnd317Vbd+Xm5mbtOEhmPN7sYe0ISKZMMVGK/HOG7t7ldwden8KFC6tp06YaOnSoJGnhwoXq0qWLHjx4YOVkCfP03OvTZ5lsHJx1/LNgOdvzfTGA53v6u4NzL5Bw/PsBkFBJ+XuDOUMBAMBLOXv2rNq1a2d+37JlS0VHR+vKlStWTAUAQOplNBo1duxYlStXTm+++aYGDBighw8fWjsWAKQoFEMBAMBLiYyMtJijzMbGRvb29lyUAQDwiowcOVKffPKJXFxclD17dk2aNEndu3e3diwASFG4BwwAALy0wYMHy9nZ2fw+KipKI0eOlLu7u7ltwoQJ1ogGAECqM3/+fE2dOlVdunSRJG3evFl16tTRzJkzLeb1BAA8G8VQAADwUipWrKhTp05ZtL311ls6e/as+b3BYHjdsQAASLVCQ0NVu3Zt8/ugoCAZDAZdvnxZOXLksGIyAEg5KIYCAICXsm3bNmtHAAAgTYmOjpajo6NFm52dnR4/fmylRACQ8lAMBQAAAAAgBTCZTGrfvr0cHBzMbY8ePdL7779vMY/3ypUrrREPAFIEiqEAAAAAAKQA7dq1i9XWunVrKyQBgJSLYigAAAAAACnAnDlzrB0BAFI8HjcHAAAAAAAAIE2gGAoAAAAAAAAgTaAYCgAAEm3Hjh1q3bq1ypYtq0uXLkmSFixYoJ07d1o5GQAAAAD8D8VQAACQKD/88IOCg4Pl5OSkQ4cOKTIyUpJ09+5djRo1ysrpAAAAAOB/KIYCAIBEGTFihKZPn64ZM2bIzs7O3F6uXDkdPHjQiskAAAAAwBLFUAAAkCinTp1SxYoVY7W7u7srLCzs9QcCAAAAgGegGAoAABLF29tb//zzT6z2nTt3Knfu3FZIBAAAAABxS2ftAAAAIGXr1KmTevfurdmzZ8tgMOjy5cvas2eP+vfvr8GDB1s7XooXExOjx48fWzsGkObY2dnJ1tbW2jGANIvzH5B07O3tZWPDeMinKIYCAIBEGTBggIxGo6pVq6aIiAhVrFhRDg4O6t+/v3r27GnteCmWyWTS1atXmWoAsKIMGTLI29tbBoPB2lGANIPzH5D0bGxs5OfnJ3t7e2tHSRYohgIAgEQxGAz69NNP9eGHH+qff/7R/fv35e/vLxcXF2tHS9GeXgh6eXnJ2dmZYgzwGplMJkVEROj69euSpKxZs1o5EZB2cP4DkpbRaNTly5d15coV5cyZk39TohgKAACSiL29vfz9/a0dI1WIiYkxXwhmypTJ2nGANMnJyUmSdP36dXl5eXHLPPAacP4DXg1PT09dvnxZ0dHRsrOzs3Ycq6MYCgAAEqVKlSrP/Yb5119/fY1pUoenc6Q5OztbOQmQtj39N/j48WOKocBrwPkPeDWe3h4fExNDMVQUQwEAQCIFBgZavH/8+LEOHz6sY8eOqV27dtYJlUpwGxNgXfwbBKyDf3tA0uLflCWKoQAAIFG++uqrONuHDRum+/fvv+Y0AAAAAPBsNtYOAAAAUqfWrVtr9uzZ1o4BAAAAAGYUQwEAwCuxZ88eOTo6WjsGUiCDwaCffvrJ2jGSzLlz52QwGHT48OGX7uPWrVvy8vLSuXPnkixXWjdgwAD17NnT2jEAwIzzX2yc/17s+PHjypEjhx48eGDtKCkGxVAAAJAojRo1sng1bNhQZcqUUYcOHdSlSxdrxwMkSRs2bFCZMmXk6uoqT09PNW7cOEVdWI0cOVL169eXr69vrGXBwcGytbXVvn37Yi2rXLmy+vTpE6t97ty5ypAhg0VbeHi4Pv30UxUsWFCOjo7y9vZWUFCQVq5cKZPJlERHEtu2bdv0xhtvyMHBQXnz5tXcuXNfuM2yZcsUGBgoZ2dn5cqVS1988UWsdaZMmaJChQrJyclJBQoU0Pz58y2W9+/fX/PmzdPZs2eT6lAAINlJq+e/9u3by2AwyGAwyN7eXnnz5tVnn32m6OjoV5b1u+++U+XKleXm5iaDwaCwsLB4bTdlyhT5+vrK0dFRpUuX1h9//GGx/NGjR+revbsyZcokFxcXNW7cWNeuXTMv9/f3V5kyZTRhwoSkPJxUjWIoAABIFHd3d4tXxowZVblyZa1du1ZDhw61djxAISEhql+/vqpWrarDhw9rw4YNunnzpho1amTtaPESERGhWbNm6d133421LDQ0VLt371aPHj0SNS1FWFiY3nrrLc2fP18DBw7UwYMH9dtvv6lZs2b66KOPdPfu3cQcwjOFhISoTp06qlKlig4fPqw+ffrovffe04YNG565zbp169SqVSu9//77OnbsmKZOnaqvvvpKkydPNq8zbdo0DRw4UMOGDdNff/2l4cOHq3v37lq9erV5ncyZMys4OFjTpk17JccGANaW1s9/NWvW1JUrV3T69Gl98MEHGjZsWJxfniVl3po1a+qTTz6J9zZLly5Vv379NHToUB08eFABAQEKDg7W9evXzev07dtXq1ev1vLly7V9+3Zdvnw51t9hhw4dNG3atFda7E1NKIYCAICXFhMTow4dOmjChAmaM2eO5syZo1mzZmnMmDGqUaOGteOlKiaTSRFR0VZ5xXdU4Pz585UpUyZFRkZatDdo0EBt2rQxv582bZry5Mkje3t7FShQQAsWLHhuv3/++aeqVq0qJycnZcqUSZ07dzY/nGvjxo1ydHSMNfqid+/eqlq1qiTpwIEDiomJ0YgRI5QnTx698cYb6t+/vw4fPqzHjx9LevLAr8DAQC1YsEC+vr5yd3dX8+bNde/evXgdu9Fo1Lhx45Q3b145ODgoZ86cGjlyZJzr3rlzR61atZKnp6ecnJyUL18+zZkz55l9r127Vg4ODipTpkysZXPmzNHbb7+trl276vvvv9fDhw/jlfe/PvnkE507d0579+5Vu3bt5O/vr/z586tTp046fPiwXFxcXqrfF5k+fbr8/Pw0fvx4FSpUSD169NA777zzzAezSdKCBQvUoEEDvf/++8qdO7fq1KmjgQMHauzYseaf1QULFqhLly5q1qyZcufOrebNm6tz584aO3asRV9169bVkiVLXsmxAUganP84/73s+c/BwUHe3t7KlSuXunbtqqCgIK1atSpex/Uy+vTpowEDBsSZ91kmTJigTp06qUOHDvL399f06dPl7OxsLvDevXtXs2bN0oQJE1S1alWVKFFCc+bM0e7du/X777+b+6levbpu376t7du3J/lxpUY8TR4AALw0W1tb1ahRQydOnJCHh4e146RqDx/HyH/Is0fLvUrHPwuWs/2L/9vYpEkT9erVS6tWrVKTJk0kSdevX9cvv/yijRs3SpJ+/PFH9e7dWxMnTlRQUJDWrFmjDh06KEeOHKpSpUqsPh88eKDg4GCVLVtW+/bt0/Xr1/Xee++pR48emjt3rqpVq6YMGTLohx9+MI8ciYmJ0dKlS80XYyVKlJCNjY3mzJmj9u3b6/79+1qwYIGCgoJkZ2dn3teZM2f0008/ac2aNbpz546aNm2qMWPGPPOi7t8GDhyoGTNm6KuvvlL58uV15coVnTx5Ms51Bw8erOPHj2vdunXKnDmz/vnnn+cWMXfs2KESJUrEajeZTJozZ46mTJmiggULKm/evFqxYoXFhXd8GI1GLVmyRK1atVK2bNliLX9eIXTHjh2qVavWc/v/9ttv1apVqziX7dmzR0FBQRZtwcHBcd7a/1RkZKScnZ0t2pycnHTx4kWdP39evr6+ioyMjDVnsZOTk/744w89fvzY/PdeqlQpXbx4UefOnYvzFkwA1sf5j/Pff73s+c/JyUm3bt165vJatWppx44dz1yeK1cu/fXXX8/dR0JERUXpwIEDGjhwoLnNxsZGQUFB2rNnj6QnBe3Hjx9bnCsLFiyonDlzas+ePebCq729vQIDA7Vjxw5Vq1YtyTKmVhRDAQBAohQpUkRnz56Vn5+ftaPAypycnPR/7d17XI/3/z/wR+/q/e5ciA5KUcphJFLKaCbL0PBxyLSUYZMzcx4VQ2xyGmaOySJsmDlEmrbktEVOtVCSTbEWiqTD+/n7o1/Xt3e9q3fp3PN+u71vt97X9bqu6/l6976u53W93tfreo0dOxZ79uwRLgZ/+OEHtGnTBu+99x4AYO3atfD29saUKVMAAHPmzMHly5exdu1auReD+/fvR05ODoKDg6GpqQkA2Lx5M9zc3LBmzRoYGBhgzJgx2L9/v3AxGBERgefPn2PEiBEAgLZt2+Ls2bMYPXo0Pv/8cxQUFMDR0RGnTp2S2ZZUKkVQUBC0tbUBAJ6enoiIiKjwYjArKwsbN27E5s2b4eXlBQCwsLDAu+++K7d8SkoKbG1tYWdnBwAVNsI9fPhQbiPluXPnkJ2dDVdXVwDAJ598gl27dlW6MTQ9PR3Pnj1Dhw4dKrUcANjZ2VU4MIaBgUGZ89LS0krNNzAwQGZmJl6/fg11dfVSy7i6umL27Nnw9vZGv379cP/+fQQGBgIAUlNTYW5uDldXV+zcuRPDhg1D9+7dERMTg507dyIvLw/p6ekwMjICAOFzLWpEZYyxquD8V7/zHxEhIiICZ86cKXfgvJ07d5bbOFu8Abk6pKeno6CgQG4eLGpQTktLg1gsLvWcbwMDA6SlpclMMzY2xsOHD6s1xsaKG0MZY4wx9lZWrFiBuXPn4quvvkKPHj2EE/YiOjo6dRRZ46Kuqoy45a51tm1FTZo0CT179sQ///yD1q1bIygoSBjEAADi4+Px2WefySzTu3dvbNy4Ue764uPjYWNjI/O96t27N6RSKRISEmBgYAAPDw/06tULjx8/hrGxMUJCQjB48GDhwiEtLQ2TJk2Cl5cXPv74Y2RlZcHX1xcjR45EeHi4EJu5ublwIQgARkZGMs/sKkt8fDzevHmj8J0YPj4+GDFiBK5du4YPPvgAw4YNg5OTU5nlX79+XeouRwDYvXs33N3doaJSeEr/8ccfY968eUhMTISFhYVCsQB4q8GR1NXVYWlpWeXlq2LSpElITEzEkCFDkJeXBx0dHcycORP+/v4QiQqfArZ06VKkpaWhV69eICIYGBjAy8sLX3/9tVCmKH6g8DlvjLH6ifMf57+SFM1/J06cgJaWFvLy8iCVSjF27Fj4+/uXub3WrVsrVI/6Sl1dnfOZgviZoYwxxhirkuXLl+PVq1cYNGgQbty4gY8++ggmJiZo1qwZmjVrBj09Pe46X42UlJSgIVapk1fRxZIibG1tYWNjg+DgYMTExODOnTvw9vauuQ8GQM+ePWFhYYHQ0FC8fv0aR48elemWvWXLFujq6uLrr7+Gra0t+vbtix9++AERERG4cuWKUK7kHR9KSkqQSqUVbl/e3Yvl+fDDD/Hw4UPMnj0bjx8/Rv/+/TF37twyy+vr6+PZs2cy0zIyMnD06FFs3boVKioqUFFRQevWrZGfny8zkISOjo7cwY+eP38OXV1dAEDLli2hp6dXZrfG8kRFRUFLS6vcV0hISJnLGxoayoyICwBPnjyBjo5OmZ+rkpIS1qxZg5cvX+Lhw4dIS0uDvb09AKBdu3YACv8nu3fvRnZ2NpKTk5GSkiJc7Lds2VJYV0ZGhvAZMMbqJ85/ZeP8V3b+AyAMznfv3j28fv0ae/fuLfWjfcn4ystnnTt3rlR9K6Kvrw9lZWW5edDQ0BBAYZ7Mzc0t9WzY4mWKZGRkcD5TEN8ZyhhjjLEqWbZsGSZPnozz58/XdSisnpk4cSI2bNiAf/75By4uLjA1NRXmdezYEdHR0UJ3OgCIjo5Gp06d5K6rY8eOCAoKwqtXr4QLmOjoaIhEIlhbWwvlPDw8EBISAhMTE4hEIgwePFiYl52dLXM3IFD4vFsACl3sVaR9+/ZQV1dHREQEJk6cqNAyLVu2hJeXF7y8vNCnTx/MmzcPa9eulVvW1tYWP/zwg8y0oroeO3ZMZvrZs2cRGBiI5cuXQ1lZGdbW1sLz6oq7du0arKysABQ+n2zMmDHYt28f/Pz8SnVJfPnyJdTU1IQ7cIp7227y8rprhoeHw9HRsdx1AoX/w6K7eA4cOABHR8dSF4GqqqowMTEBAISGhmLIkCEy34Xbt29DVVW12i9wGWNNE+e/itVW/gMATU3NSvVeqO1u8mKxGD169EBERASGDRsGoPD/EhERgWnTpgEofO6rqqoqIiIihMcfJCQkICUlpVSuvH37NkaOHFmtMTZW3BjKGGOMsSop6lrr7Oxcx5Gw+mbs2LGYO3cuduzYgeDgYJl58+bNw+jRo2FrawsXFxf88ssvOHLkCM6dOyd3XR4eHvDz84OXlxf8/f3x77//Yvr06fD09JRpZPPw8IC/vz9WrlyJkSNHQiKRCPMGDx6M9evXY/ny5UI3wcWLF8PMzAy2trZvXV81NTUsWLAA8+fPh1gsRu/evfHvv//izp07wnPcivP19UWPHj3QuXNnvHnzBidOnEDHjh3LXL+rqysWLVqEZ8+eCXdb79q1CyNHjsQ777wjU9bU1BSLFi1CWFgYBg8eDB8fH2zevBkzZszAxIkTIZFIcPLkSRw4cAC//PKLsNzKlSsRGRkJBwcHrFy5EnZ2dlBVVUVUVBQCAgLwxx9/lHpeGfD23eQnT56MzZs3Y/78+fj000/x66+/4tChQzh58qRQZvPmzTh69CgiIiIAFD5j7ccff8R7772HnJwc7NmzB4cPH5YZQffu3bu4evUqHBwc8OzZM6xbtw63b9/G3r17ZbYfFRWFPn36VPruJsYYk4fzX/3Jf1Xxtt3k09LSkJaWhvv37wMAbt26BW1tbbRp0wbNmzcHAPTv3x/Dhw8XGjvnzJkDLy8v2NnZwd7eHhs2bMCrV68wfvx4AICuri4mTJiAOXPmoHnz5tDR0cH06dPh6OgoM2p9cnKy0AjPKsbd5BljjDFWZZXpPsaaDl1dXYwYMQJaWlrCnQ5Fhg0bho0bN2Lt2rXo3Lkzvv/+e+zZs0cYYKIkDQ0NnDlzBhkZGejZsydGjhyJ/v37Y/PmzTLlLC0tYW9vj5s3b5Yaufz999/H/v37cezYMdja2mLgwIGQSCQICwurtkawpUuX4osvvoCvry86duwId3f3Mp+3JhaLsWjRInTt2hV9+/aFsrIyQkNDy1x3ly5d0L17dxw6dAhA4ciyN27cEO4QKU5XVxf9+/fHrl27ABR2G//999/x119/wcXFBQ4ODjh06BAOHz6MgQMHCss1b94cly9fxieffIIVK1bA1tYWffr0wYEDB/DNN98IXeqrW9u2bXHy5EmEh4fDxsYGgYGB2LlzpzAoBlDY+JmYmCiz3N69e2FnZ4fevXvjzp07iIyMFLrKA4UjKgcGBsLGxgYDBgxATk4OLl68WGqwjtDQUEyaNKlG6sYYa3o4/9Wf/FcXtm3bBltbWyGv9O3bF7a2tjh+/LhQJjExEenp6cJ7d3d3rF27Fr6+vujWrRtiY2MRFhYm0+C9fv16DBkyBCNGjEDfvn1haGiII0eOyGz7wIED+OCDD2BmZlbDtWwclOhtnpjOql1mZiZ0dXXx5L8XPOAEK6VZz2l1HQKrp6ggF29u7cCLF3zsYLVHJBJBV1e3wgbRomfy1VdFudd01iGIJBqIW+4KDXHddp7JycnBgwcP0LZtW7kDBzQE/fv3R+fOnbFp06a6DqVROHnyJObNm4fbt2+X6vLIqub06dP44osvcPPmTbmPAADK3xeLjh2cexmrvLL2H85/rCTOfxXLzc1F+/btsX//fvTu3Vtumcawb1Vn3uVu8owxxhirsmXLltXYHWOsYXr27BkiIyMRGRmJrVu31nU4jcbgwYNx7949/PPPPzLPoGNV9+rVK+zZs6fMhlDGGKsMzn81g/NfxVJSUrB48eIyG0JZaZz5GWOMMVZlY8aMQatWreo6DFaP2Nra4tmzZ1izZo3MAA8NWUpKSpkDXABAXFwc2rRpU+NxzJo1q8a30ZTwIBOMserE+a/mcP4rn6Wl5Vs9v7sp4sZQxhhjjFUJPy+UyZOcnFzXIVQ7Y2PjckdMLzn6OmOMsaaH8x9jDQc3hjLGGGOsSvix46ypUFFR4TsuGGOMNTmc/1hjxY2hjDHGGKsSqVRa1yE0etzgzFjd4n2QsbrB+x5j1Yv3KVk8FBdjjDHGWD2jqqoKAMjOzq7jSBhr2or2waJ9kjFWszj/MVYzcnNzAQDKysp1HEn9wHeGMsYYY4zVM8rKytDT08PTp08BABoaGvyMVsZqEREhOzsbT58+hZ6eHl88MlZLOP8xVv2kUin+/fdfaGhoQEWFmwEBbgxljDHGWD2zZcsWfPPNN0hLS4ONjQ2+/fZb2Nvbl1n+8OHDWLp0KZKTk9G+fXusWbMGgwYNqsWIa4ahoSEACBeEjLHap6enJ+yLjDVm9Sn3cv5jrPqJRCK0adOGf1z4/7gxlDHGGGP1xsGDBzFnzhxs27YNDg4O2LBhA1xdXZGQkIBWrVqVKn/x4kV8/PHHCAgIwJAhQ7B//34MGzYM165dwzvvvFMHNag+SkpKMDIyQqtWrZCXl1fX4TDW5KiqqvIdoaxJqG+5l/MfY9VPLBZDJOInZRZRIn6Kar2SmZkJXV1dPPnvBXR0dOo6HFbPNOs5ra5DYPUUFeTiza0dePGCjx2sYXNwcEDPnj2xefNmAIXdekxNTTF9+nQsXLiwVHl3d3e8evUKJ06cEKb16tUL3bp1w7Zt2xTaZlHuNZ11CCKJBuKWu0JDzL8XM8bKV3Ts4NzLGrq6zL28/zDGFFWdxw1uFmaMMcZYvZCbm4uYmBi4uLgI00QiEVxcXHDp0iW5y1y6dEmmPAC4urqWWR4A3rx5g8zMTJkXY4wx1hRx7mWMNUXcGMoYY4yxeiE9PR0FBQUwMDCQmW5gYIC0tDS5y6SlpVWqPAAEBARAV1dXeJmamr598IwxxlgDxLmXMdYUcWMoY4wxxpqURYsW4cWLF8Lr0aNHAICrX/ZH3HJXqKvyMwIZY4yx6lRW7mWMsbrAD8SqZ4oe4ZrF3QaYHFSQW9chsHqq6LvBj4FmDZm+vj6UlZXx5MkTmelPnjwpczRnQ0PDSpUHAIlEAolEIrwv2m/yc7KRL1ZBVk5Va8AYa0qKuvly7mUNWV3nXu4uzxhTVHXmXW4MrWeysrIAAJZtudsAY6zysrKyoKurW9dhMFYlYrEYPXr0QEREBIYNGwagcBCHiIgITJsmfwA5R0dHREREYNasWcK08PBwODo6KrzdotzLXfYYY1XBuZc1ZJx7GWMNTXXkXW4MrWeMjY3x6NEjaGtrQ0lJqa7DqXOZmZkwNTXFo0ePeJRBJoO/G7KICFlZWTA2Nq7rUBh7K3PmzIGXlxfs7Oxgb2+PDRs24NWrVxg/fjwAYNy4cWjdujUCAgIAADNnzoSzszMCAwMxePBghIaG4s8//8T27dsV3mZR7iUitGnTplEdVxrrsbIx1ovr1DAUr5O2tjbnXtYocO6tXo392NdY6gQ0zno15jqlpKRASUmpWvIuN4bWMyKRCCYmJnUdRr2jo6PTaHZkVr34u/F/+K4U1hi4u7vj33//ha+vL9LS0tCtWzeEhYUJAzWkpKRAJPq/R547OTlh//79WLJkCRYvXoz27dvj2LFjeOeddxTeZlHuLep60xiPK42xTkDjrBfXqWEoqhPnXtYYcO6tGVynhqMx1qsx1klXV7fa6qRE/JAbVo9lZmZCV1cXL168aHQ7Mns7/N1gjFW3xnhcaYx1AhpnvbhODUNjrBNjdakx7lNcp4ajMdaL66QYHk2eMcYYY4wxxhhjjDHWJHBjKKvXJBIJ/Pz8ZEYeZAzg7wZjrPo1xuNKY6wT0DjrxXVqGBpjnRirS41xn+I6NRyNsV5cJ8VwN3nGGGOMMcYYY4wxxliTwHeGMsYYY4wxxhhjjDHGmgRuDGWMMcYYY4wxxhhjjDUJ3BjKGGOMMcYYY4wxxhhrErgxlDUa/v7+6NatW12HwRqJyMhIKCkp4fnz53UdCmOMMcYYY4wxxqoJN4YyxhhjrMnYsmULzM3NoaamBgcHB1y9erXc8ocPH0aHDh2gpqaGLl264NSpU7UUqeIqU6cdO3agT58+aNasGZo1awYXF5cKP4O6Utn/VZHQ0FAoKSlh2LBhNRtgFVS2Ts+fP8fUqVNhZGQEiUQCKyurevcdrGydNmzYAGtra6irq8PU1BSzZ89GTk5OLUVbsd9//x1ubm4wNjaGkpISjh07VuEykZGR6N69OyQSCSwtLREUFFTjcTLWkHDubRi5l/Nuw8i7QOPKvXWWd4mxRsLPz49sbGzqOgzWSJw/f54A0LNnz+o6FMZYNQkNDSWxWEy7d++mO3fu0KRJk0hPT4+ePHkit3x0dDQpKyvT119/TXFxcbRkyRJSVVWlW7du1XLkZatsncaOHUtbtmyh69evU3x8PHl7e5Ouri79/ffftRx5+SpbryIPHjyg1q1bU58+fWjo0KG1E6yCKlunN2/ekJ2dHQ0aNIguXLhADx48oMjISIqNja3lyMtW2TqFhISQRCKhkJAQevDgAZ05c4aMjIxo9uzZtRx52U6dOkVffvklHTlyhADQ0aNHyy2flJREGhoaNGfOHIqLi6Nvv/2WlJWVKSwsrHYCZqye49zbMHIv592GkXeJGl/urau8y42hrMY4OzvTtGnTaObMmaSnp0etWrWi7du308uXL8nb25u0tLTIwsKCTp06RURE+fn59Omnn5K5uTmpqamRlZUVbdiwQWad58+fp549e5KGhgbp6uqSk5MTJScnE1HpxtD79+9T27ZtaerUqSSVSmut3k2Vs7MzTZ8+nebNm0fNmjUjAwMD8vPzE+Y/fPiQPvroI9LU1CRtbW0aNWoUpaWlKbTuov/trl27yNTUlDQ1NcnHx4fy8/NpzZo1ZGBgQC1btqQVK1bILBcYGEjvvPMOaWhokImJCfn4+FBWVpYwPzk5mYYMGUJ6enqkoaFBnTp1opMnTxJR6cbQV69e0cCBA8nJyYkbSBlroOzt7Wnq1KnC+4KCAjI2NqaAgAC55UePHk2DBw+Wmebg4ECff/55jcZZGZWtU0n5+fmkra1Ne/furakQq6Qq9crPzycnJyfauXMneXl51buLssrW6bvvvqN27dpRbm5ubYVYaZWt09SpU+n999+XmTZnzhzq3bt3jcZZVYpclM2fP586d+4sM83d3Z1cXV1rMDLGGg7OvaXVx9zLebdh5F2ixp17azPvcjd5VqP27t0LfX19XL16FdOnT4ePjw9GjRoFJycnXLt2DR988AE8PT2RnZ0NqVQKExMTHD58GHFxcfD19cXixYtx6NAhAEB+fj6GDRsGZ2dn3Lx5E5cuXcJnn30GJSWlUtu9efMm3n33XYwdOxabN2+WW4ZVv71790JTUxNXrlzB119/jeXLlyM8PBxSqRRDhw5FRkYGfvvtN4SHhyMpKQnu7u4KrzsxMRGnT59GWFgYDhw4gF27dmHw4MH4+++/8dtvv2HNmjVYsmQJrly5IiwjEomwadMm3LlzB3v37sWvv/6K+fPnC/OnTp2KN2/e4Pfff8etW7ewZs0aaGlpldr28+fPMWDAAEilUoSHh0NPT++tPifGWO3Lzc1FTEwMXFxchGkikQguLi64dOmS3GUuXbokUx4AXF1dyyxf26pSp5Kys7ORl5eH5s2b11SYlVbVei1fvhytWrXChAkTaiPMSqlKnY4fPw5HR0dMnToVBgYGeOedd7Bq1SoUFBTUVtjlqkqdnJycEBMTI3TnS0pKwqlTpzBo0KBaibkm1PfjBGN1iXOvfPUt93LeLVTf8y7AuReovmOESnUGxVhJNjY2WLJkCQBg0aJFWL16NfT19TFp0iQAgK+vL7777jvcvHkTvXr1wrJly4Rl27Zti0uXLuHQoUMYPXo0MjMz8eLFCwwZMgQWFhYAgI4dO5ba5sWLFzFkyBB8+eWX+OKLL2qhlqxI165d4efnBwBo3749Nm/ejIiICADArVu38ODBA5iamgIAgoOD0blzZ/zxxx/o2bNnheuWSqXYvXs3tLW10alTJ/Tr1w8JCQk4deoURCIRrK2tsWbNGpw/fx4ODg4AgFmzZgnLm5ubY8WKFZg8eTK2bt0KAEhJScGIESPQpUsXAEC7du1KbTctLQ3u7u5o37499u/fD7FYXPUPiDFWZ9LT01FQUAADAwOZ6QYGBvjrr7/kLpOWlia3fFpaWo3FWRlVqVNJCxYsgLGxcamTyrpUlXpduHABu3btQmxsbC1EWHlVqVNSUhJ+/fVXeHh44NSpU7h//z6mTJmCvLw8IdfWparUaezYsUhPT8e7774LIkJ+fj4mT56MxYsX10bINaKs40RmZiZev34NdXX1OoqMsbrHuVe++pZ7Oe8Wqu95F+DcC1Rf3uU7Q1mN6tq1q/C3srIyWrRoITQ8ARC+xE+fPgVQ+CDgHj16oGXLltDS0sL27duRkpICAGjevDm8vb3h6uoKNzc3bNy4EampqTLbS0lJwYABA+Dr68sNoXWg+P8bAIyMjPD06VPEx8fD1NRUaAgFgE6dOkFPTw/x8fEKrdvc3Bza2trCewMDA3Tq1AkikUhmWtF3CQDOnTuH/v37o3Xr1tDW1oanpyf+++8/ZGdnAwBmzJiBFStWoHfv3vDz88PNmzdLbXfAgAGwtLTEwYMHuSGUMdaorF69GqGhoTh69CjU1NTqOpwqy8rKgqenJ3bs2AF9ff26DqfaSKVStGrVCtu3b0ePHj3g7u6OL7/8Etu2bavr0KosMjISq1atwtatW3Ht2jUcOXIEJ0+exFdffVXXoTHGWK1oDLmX827DwrlXPm4MZTVKVVVV5r2SkpLMtKLu61KpFKGhoZg7dy4mTJiAs2fPIjY2FuPHj0dubq5Qfs+ePbh06RKcnJxw8OBBWFlZ4fLly8L8li1bwt7eHgcOHEBmZmYN146VJO//LZVKa2zd5W0vOTkZQ4YMQdeuXfHTTz8hJiYGW7ZsAQDhOzVx4kQkJSXB09MTt27dgp2dHb799luZdQ4ePBi///474uLiqqUejLG6oa+vD2VlZTx58kRm+pMnT2BoaCh3GUNDw0qVr21VqVORtWvXYvXq1Th79mypH7LqWmXrlZiYiOTkZLi5uUFFRQUqKioIDg7G8ePHoaKigsTExNoKvUxV+V8ZGRnBysoKysrKwrSOHTsiLS1N5tyorlSlTkuXLoWnpycmTpyILl26YPjw4Vi1ahUCAgKq7XyhtpV1nNDR0eG7QlmTx7lXVn3NvZx3C9X3vAtw7gWqL+9yYyirN6Kjo+Hk5IQpU6bA1tYWlpaWcg+ktra2WLRoES5evIh33nkH+/fvF+apq6vjxIkTUFNTg6urK7KysmqzCqwMHTt2xKNHj/Do0SNhWlxcHJ4/f45OnTrVyDZjYmIglUoRGBiIXr16wcrKCo8fPy5VztTUFJMnT8aRI0fwxRdfYMeOHTLzV69eDS8vL/Tv358bRBlrwMRiMXr06CE8ugMo/CEuIiICjo6OcpdxdHSUKQ8A4eHhZZavbVWpEwB8/fXX+OqrrxAWFgY7O7vaCLVSKluvDh064NatW4iNjRVeH330Efr164fY2FiZXgl1pSr/q969e+P+/fsyFyp3796FkZFRveipUJU6ZWdny/ToACBcdBaOm9Dw1PfjBGN1iXPv/6nPuZfzbqH6nncBzr1ANR4jKjXcEmOV4OzsTDNnzpSZZmZmRuvXr5eZhv8/YtjGjRtJR0eHwsLCKCEhgZYsWUI6OjrCCPFJSUm0cOFCunjxIiUnJ9OZM2eoRYsWtHXrViKSHU0+KyuL3n33Xerdu7fM6OGs5sj7fw8dOpS8vLxIKpVSt27dqE+fPhQTE0NXrlyhHj16kLOzs0LrLv6/LSJvxMLiMcTGxhIA2rBhAyUmJlJwcDC1bt1aZoT4mTNnUlhYGCUlJVFMTAw5ODjQ6NGjiaj0aPKzZs0iAwMDio+Pr8SnwhirT0JDQ0kikVBQUBDFxcXRZ599Rnp6epSWlkZERJ6enrRw4UKhfHR0NKmoqNDatWspPj6e/Pz8SFVVlW7dulVXVSilsnVavXo1icVi+vHHHyk1NVV41bdcWdl6lVQfR7WtbJ1SUlJIW1ubpk2bRgkJCXTixAlq1aoVrVixoq6qUEpl6+Tn50fa2tp04MABSkpKorNnz5KFhYWQe+uDrKwsun79Ol2/fp0A0Lp16+j69ev08OFDIiJauHAheXp6CuWTkpJIQ0OD5s2bR/Hx8bRlyxZSVlamsLCwuqoCY/UK596GkXs57zaMvEvU+HJvXeVdbgxlNaayjaE5OTnk7e1Nurq6pKenRz4+PrRw4UKhESwtLY2GDRtGRkZGJBaLyczMjHx9famgoICISjeYZWVlkZOTE/Xt25devnxZgzVlROU3hhIRPXz4kD766CPS1NQkbW1tGjVqlHDArkhVGkOJiNatW0dGRkakrq5Orq6uFBwcLNPAOW3aNLKwsCCJREItW7YkT09PSk9PJ6LSjaFERNOnTycjIyNKSEhQKG7GWP3z7bffUps2bUgsFpO9vT1dvnxZmOfs7Cwcs4ocOnSIrKysSCwWU+fOnenkyZO1HHHFKlMnMzMzAlDq5efnV/uBV6Cy/6vi6uNFGVHl63Tx4kVycHAgiURC7dq1o5UrV1J+fn4tR12+ytQpLy+P/P39ycLCgtTU1MjU1JSmTJkik2vrWlH+L/kqqoeXl1epH3PPnz9P3bp1I7FYTO3ataM9e/bUetyM1WecextG7uW82zDyLlHjyr11lXeViBrgfbGMMcYYY4wxxhhjjDFWSfzMUMYYY4wxxhhjjDHGWJPAjaGMsTrXuXNnaGlpyX2FhITUdXiMMcYYY4wxxhhrJLibPGOszj18+BB5eXly5xkYGEBbW7uWI2KMMcYYY4wxxlhjxI2hjDHGGGOMMcYYY4yxJoG7yTPGGGOMMcYYY4wxxpoEbgxljDHGGGOMMcYYY4w1CdwYyhhjjDHGGGOMMcYYaxK4MZQxxhhjjDHGGGOMMdYkcGMoY9XM29sbw4YNE96/9957mDVrVq3HERkZCSUlJTx//rzMMkpKSjh27JjC6/T390e3bt3eKq7k5GQoKSkhNjb2rdbDGGMNSVBQEPT09Oo6jCpTJF+UzH9NydKlS/HZZ5/VyrYUye8AYG5ujg0bNtRoLJXdRnXtB5U9f1FEXFwcTExM8OrVq2pdL2OM1YXix0lFr78SEhJgaGiIrKysmg8QiuWQ6rj+rEhVtlEdeaimzpt69eqFn376qdrX29hwYyhrEry9vaGkpAQlJSWIxWJYWlpi+fLlyM/Pr/FtHzlyBF999ZVCZRW9wGGMMVb7iueS4q/79+/XdWgICgoS4hGJRDAxMcH48ePx9OnTall/amoqPvzwQwBlX1Rt3LgRQUFB1bK9svj7+wv1VFZWhqmpKT777DNkZGRUaj3VeQGSlpaGjRs34ssvv5RZf02ddzg5OSE1NRW6uroAym5g/OOPP2qtgbYhWLlyJZycnKChoSH38+rUqRN69eqFdevW1X5wjLFGo/jxX1VVFW3btsX8+fORk5NT16FVaNGiRZg+fTq0tbUB/N+1adHLwMAAI0aMQFJSUrVsr2SektfAOHfuXERERFTL9hqD33//HW5ubjA2Ni6zQXbJkiVYuHAhpFJp7QfYgHBjKGsyBg4ciNTUVNy7dw9ffPEF/P398c0338gtm5ubW23bbd68uZBQGGOMNWxFuaT4q23btnUdFgBAR0cHqamp+Pvvv7Fjxw6cPn0anp6e1bJuQ0NDSCSScsvo6urWyt2vnTt3RmpqKlJSUrBnzx6EhYXBx8enxrdblp07d8LJyQlmZmYy0ytz3lEZYrEYhoaGUFJSKrdcy5YtoaGh8dbbayxyc3MxatSocr8r48ePx3fffVcrP5YzxhqvouN/UlIS1q9fj++//x5+fn51HVa5UlJScOLECXh7e5eal5CQgMePH+Pw4cO4c+cO3NzcUFBQ8NbbVCRPaWlpoUWLFm+9rcbi1atXsLGxwZYtW8os8+GHHyIrKwunT5+uxcgaHm4MZU2GRCKBoaEhzMzM4OPjAxcXFxw/fhzA/90hsnLlShgbG8Pa2hoA8OjRI4wePRp6enpo3rw5hg4diuTkZGGdBQUFmDNnDvT09NCiRQvMnz8fRCSz3ZLd5N+8eYMFCxbA1NQUEokElpaW2LVrF5KTk9GvXz8AQLNmzaCkpCQkI6lUioCAALRt2xbq6uqwsbHBjz/+KLOdU6dOwcrKCurq6ujXr59MnIpasGABrKysoKGhgXbt2mHp0qXIy8srVe7777+HqakpNDQ0MHr0aLx48UJm/s6dO9GxY0eoqamhQ4cO2Lp1a6VjYYyx+qgolxR/KSsrY926dejSpQs0NTVhamqKKVOm4OXLl2Wu58aNG+jXrx+0tbWho6ODHj164M8//xTmX7hwAX369IG6ujpMTU0xY8aMCrvvKikpwdDQEMbGxvjwww8xY8YMnDt3Dq9fv4ZUKsXy5cthYmICiUSCbt26ISwsTFg2NzcX06ZNg5GREdTU1GBmZoaAgACZdRfdfVDU+GtrawslJSW89957AGTvtty+fTuMjY1L3ZUwdOhQfPrpp8L7n3/+Gd27d4eamhratWuHZcuWVdgQpaKiAkNDQ7Ru3RouLi4YNWoUwsPDhfkFBQWYMGGCkDOtra2xceNGYb6/vz/27t2Ln3/+WbjbJTIyEkDFeV+e0NBQuLm5lZpe3nnHs2fPMG7cODRr1gwaGhr48MMPce/ePWHZhw8fws3NDc2aNYOmpiY6d+6MU6dOAZDtRRIZGYnx48fjxYsXQl38/f0ByHY/HDt2LNzd3WXiy8vLg76+PoKDgwEodq5REUX3g2PHjqF9+/ZQU1ODq6srHj16JDO/Kt+LiixbtgyzZ89Gly5dyiwzYMAAZGRk4LfffnurbTHGmrai47+pqSmGDRsGFxcXmTylyPH2zp07GDJkCHR0dKCtrY0+ffogMTERQOEdlQMGDIC+vj50dXXh7OyMa9euvVXMhw4dgo2NDVq3bl1qXqtWrWBkZIS+ffvC19cXcXFxQq+Y7777DhYWFhCLxbC2tsa+ffuE5YgI/v7+aNOmDSQSCYyNjTFjxgxhfvE8ZW5uDgAYPnw4lJSUhPfFu7CfPXsWampqpXpRzpw5E++//77wvirnUMUp+vkW9ZpRV1dHu3btSv0Pq3JOUZEPP/wQK1aswPDhw8sso6ysjEGDBiE0NPStttXYcWMoa7LU1dVl7gCNiIhAQkICwsPDceLECeTl5cHV1RXa2tqIiopCdHQ0tLS0MHDgQGG5wMBABAUFYffu3bhw4QIyMjJw9OjRcrc7btw4HDhwAJs2bUJ8fDy+//57aGlpwdTUVHi2R0JCAlJTU4WLt4CAAAQHB2Pbtm24c+cOZs+ejU8++UQ4WX/06BH+97//wc3NDbGxsZg4cSIWLlxY6c9EW1sbQUFBiIuLw8aNG7Fjxw6sX79epsz9+/dx6NAh/PLLLwgLC8P169cxZcoUYX5ISAh8fX2xcuVKxMfHY9WqVVi6dCn27t1b6XgYY6yhEIlE2LRpE+7cuYO9e/fi119/xfz588ss7+HhARMTE/zxxx+IiYnBwoULoaqqCgBITEzEwIEDMWLECNy8eRMHDx7EhQsXMG3atErFpK6uDqlUivz8fGzcuBGBgYFYu3Ytbt68CVdXV3z00UdCA9ymTZtw/PhxHDp0CAkJCQgJCREuREq6evUqAODcuXNITU3FkSNHSpUZNWoU/vvvP5w/f16YlpGRgbCwMHh4eAAAoqKiMG7cOMycORNxcXH4/vvvERQUhJUrVypcx+TkZJw5cwZisViYJpVKYWJigsOHDyMuLg6+vr5YvHgxDh06BKCwy93o0aNl7vJ1cnJSKO+XlJGRgbi4ONjZ2VUYa/HzDm9vb/z55584fvw4Ll26BCLCoEGDhB8gp06dijdv3uD333/HrVu3sGbNGmhpaZVap5OTEzZs2CDcFZyamoq5c+eWKufh4YFffvlFpmHyzJkzyM7OFi6oKjrXUIQi+0F2djZWrlyJ4OBgREdH4/nz5xgzZowwvyrfi/fee0/u3UyVJRaL0a1bN0RFRb31uhhjDABu376NixcvyuSpio63//zzD/r27QuJRIJff/0VMTEx+PTTT4UfhbKysuDl5YULFy7g8uXLaN++PQYNGvRWz/qMiopSOJcBhT+iHj16FDNnzsQXX3yB27dv4/PPP8f48eOF3P/TTz8Jd8beu3cPx44dK/MHqT/++AMAsGfPHqSmpgrvi+vfvz/09PRknodZUFCAgwcPCucW1XEOpejnu3TpUowYMQI3btyAh4cHxowZg/j4eACo0jlF0SOPqoO9vT3nsooQY02Al5cXDR06lIiIpFIphYeHk0Qioblz5wrzDQwM6M2bN8Iy+/btI2tra5JKpcK0N2/ekLq6Op05c4aIiIyMjOjrr78W5ufl5ZGJiYmwLSIiZ2dnmjlzJhERJSQkEAAKDw+XG+f58+cJAD179kyYlpOTQxoaGnTx4kWZshMmTKCPP/6YiIgWLVpEnTp1kpm/YMGCUusqCQAdPXq0zPnffPMN9ejRQ3jv5+dHysrK9PfffwvTTp8+TSKRiFJTU4mIyMLCgvbv3y+znq+++oocHR2JiOjBgwcEgK5fv17mdhljrD7y8vIiZWVl0tTUFF4jR46UW/bw4cPUokUL4f2ePXtIV1dXeK+trU1BQUFyl50wYQJ99tlnMtOioqJIJBLR69ev5S5Tcv13794lKysrsrOzIyIiY2NjWrlypcwyPXv2pClTphAR0fTp0+n999+XyXnFFc8XZR3Hi+daIqKhQ4fSp59+Krz//vvvydjYmAoKCoiIqH///rRq1SqZdezbt4+MjIzkxkBUmIdEIhFpamqSmpoaASAAtG7dujKXISKaOnUqjRgxosxYi7ZdUd4v6fr16wSAUlJSZKaXd95x9+5dAkDR0dFC+fT0dFJXV6dDhw4REVGXLl3I399f7jZLniuU/N8XMTMzo/Xr1xNR4fmJvr4+BQcHC/M//vhjcnd3JyLFzjXkKb4NeeTtBwDo8uXLwrT4+HgCQFeuXCEixb4XJc9fPD09aeHChWXGUVxZn1eR4cOHk7e3t0LrYoyxkoqfK0gkEgJAIpGIfvzxRyJS/Nqubdu2lJubq9A2CwoKSFtbm3755RdhmiJ5uzgbGxtavny5zLSS+ebx48fk5ORErVu3pjdv3pCTkxNNmjRJZplRo0bRoEGDiIgoMDCQrKysyqxHyRwi79rUz8+PbGxshPczZ86k999/X3h/5swZkkgkQoxVOYcquY2Syvp8J0+eLFPOwcGBfHx8iEixc4qS5yJHjhwha2vrMuMoqbxr+Z9//plEIpFwzsVKU6nNhlfG6tKJEyegpaWFvLw8SKVSjB07VuhKBgBdunSR+cXuxo0buH//fqnnfebk5CAxMREvXrxAamoqHBwchHkqKiqws7Mr1VW+SGxsLJSVleHs7Kxw3Pfv30d2djYGDBggMz03Nxe2trYAgPj4eJk4AMDR0VHhbRQ5ePAgNm3ahMTERLx8+RL5+fnQ0dGRKdOmTRuZ7hOOjo6QSqVISEiAtrY2EhMTMWHCBEyaNEkok5+fLwz0wBhjDVm/fv3w3XffCe81NTUBFN4lGRAQgL/++guZmZnIz89HTk4OsrOz5T4Pa86cOZg4cSL27dsndPW2sLAAUJh/bt68iZCQEKE8EUEqleLBgwfo2LGj3NhevHgBLS0tSKVS5OTk4N1338XOnTuRmZmJx48fo3fv3jLle/fujRs3bgAovFNxwIABsLa2xsCBAzFkyBB88MEHb/VZeXh4YNKkSdi6dSskEglCQkIwZswYiEQioZ7R0dEyd/wVFBSU+7kBgLW1NY4fP46cnBz88MMPiI2NxfTp02XKbNmyBbt370ZKSgpev36N3NzcCkeKrSjvy/P69WsAgJqaWql5ZZ13REREQEVFRSZvt2jRAtbW1sIdJTNmzICPjw/Onj0LFxcXjBgxAl27di03/vKoqKhg9OjRCAkJgaenJ169eoWff/5Z6EKnyLmGIhTZD1RUVNCzZ09hmQ4dOkBPTw/x8fGwt7ev0veiqKt/dVBXV0d2dna1rY8x1vQUnSu8evUK69evh4qKCkaMGAFAseNtbGws+vTpI/QYKenJkydYsmQJIiMj8fTpUxQUFCA7OxspKSlVjvn169dycxkAmJiYgIiQnZ0NGxsb/PTTTxCLxYiPjy81UF/v3r2F3o2jRo3Chg0b0K5dOwwcOBCDBg2Cm5sbVFSq3gzl4eGBXr164fHjxzA2NkZISAgGDx4sPLO8qudQxSn6+Za83nZ0dBQGl6zKOcXw4cPL7f5eGUW9g968eSPczctkcWMoazKKkpJYLIaxsXGpg3DRBW2Rly9fokePHjIH0iItW7asUgxVORAVdWk7efJkqWe4VDSYRWVcunQJHh4eWLZsGVxdXaGrq4vQ0FAEBgZWOtYdO3aUapxVVlautlgZY6yuaGpqwtLSUmZacnIyhgwZAh8fH6xcuRLNmzfHhQsXMGHCBOTm5sptvPH398fYsWNx8uRJnD59Gn5+fggNDcXw4cPx8uVLfP755zLP1SrSpk2bMmPT1tbGtWvXIBKJYGRkJOSczMzMCuvVvXt3PHjwAKdPn8a5c+cwevRouLi4VPqZkcW5ubmBiHDy5En07NkTUVFRMo9eefnyJZYtW4b//e9/pZYt64IMgDA6OwCsXr0agwcPxrJly/DVV18BKHyG59y5cxEYGAhHR0doa2vjm2++wZUrV8qNtyp5X19fH0DhM0BLlqnovKM8EydOhKurK06ePImzZ88iICAAgYGBpRp9K8PDwwPOzs54+vQpwsPDoa6ujoEDBwKonnONquwH8lT1e1FdMjIyhB8mGGOsKoqfK+zevRs2NjbYtWsXJkyYoNDxtqJrRi8vL/z333/YuHEjzMzMIJFI4Ojo+FaDAOvr6+PZs2dy50VFRUFHRwetWrWq1MDApqamSEhIwLlz5xAeHo4pU6bgm2++wW+//VZmQ29FevbsCQsLC4SGhsLHxwdHjx5FUFCQML+q51DFVcfnWxNtCZWRkZEBTU1NbggtBzeGsiZD3gVsebp3746DBw+iVatWpe6OLGJkZIQrV66gb9++AArvgIyJiUH37t3llu/SpQukUil+++03uLi4lJpfdGdq8dH5OnXqBIlEgpSUlDLvKO3YsaMwKEORy5cvV1zJYi5evAgzMzN8+eWXwrSHDx+WKpeSkiL8Ele0HZFIBGtraxgYGMDY2BhJSUnCc1sYY6yxi4mJgVQqRWBgoHDXY9HzKctjZWUFKysrzJ49Gx9//DH27NmD4cOHo3v37oiLi6tUzgIKn9cobxkdHR0YGxsjOjpaJo9ER0fD3t5eppy7uzvc3d0xcuRIDBw4EBkZGWjevLnM+uTlKnnU1NTwv//9DyEhIbh//z6sra1l8mP37t2RkJBQ6XqWtGTJErz//vvw8fER6unk5CTzPOuSd2GIxeJS8SuS90uysLCAjo4O4uLiYGVlJTOvrPOOjh07Ij8/H1euXIGTkxMA4L///kNCQgI6deoklDM1NcXkyZMxefJkLFq0CDt27JDbGCqvLvI4OTnB1NQUBw8exOnTpzFq1CjhYlSRc42KKLof5Ofn488//xS+ewkJCXj+/Llwt051fS+q6vbt2xg5cmSdbJsx1viIRCIsXrwYc+bMwdixYxU63nbt2hV79+5FXl6e3EbD6OhobN26FYMGDQJQOH5Eenr6W8Vpa2uLuLg4ufPatm0r3HlZXMeOHREdHQ0vLy+Z2IrnMnV1dbi5ucHNzQ1Tp05Fhw4dcOvWLbnXy6qqqgrlMw8PD4SEhMDExAQikQiDBw8W5lX1HKo4RT/fy5cvY9y4cTLvi+7urco5RXW6fft2pXp2NEU8gBJjZfDw8IC+vj6GDh2KqKgoPHjwAJGRkZgxYwb+/vtvAIUj161evRrHjh3DX3/9hSlTppQa3a44c3NzeHl54dNPP8WxY8eEdRZdLJiZmUFJSQknTpzAv//+i5cvX0JbWxtz587F7NmzsXfvXiQmJuLatWv49ttvhUGJJk+ejHv37mHevHlISEjA/v37ZX4hU0T79u2RkpKC0NBQJCYmYtOmTXIHg1JTU4OXlxdu3LiBqKgozJgxA6NHj4ahoSGAwtFaAwICsGnTJty9exe3bt3Cnj17sG7dukrFwxhjDYWlpSXy8vLw7bffIikpCfv27cO2bdvKLP/69WtMmzYNkZGRePjwIaKjo/HHH38IjUELFizAxYsXMW3aNMTGxuLevXv4+eefKz2AUnHz5s3DmjVrcPDgQSQkJGDhwoWIjY3FzJkzARSOAn7gwAH89ddfuHv3Lg4fPgxDQ0O5Fz+tWrWCuro6wsLC8OTJE7x48aLM7Xp4eODkyZPYvXt3qR/JfH19ERwcjGXLluHOnTuIj49HaGgolixZUqm6OTo6omvXrli1ahWAwnz2559/4syZM7h79y6WLl1aaiAGc3Nz3Lx5EwkJCUhPT0deXp5Ceb8kkUgEFxcXXLhwQeF427dvj6FDh2LSpEm4cOECbty4gU8++QStW7fG0KFDAQCzZs3CmTNn8ODBA1y7dg3nz58vs2ufubk5Xr58iYiICKSnp5fbxXvs2LHYtm0bwsPDZf4fipxrVETR/UBVVRXTp0/HlStXEBMTA29vb/Tq1UtoHK3K92LcuHFYtGhRufGlpKQgNjYWKSkpKCgoQGxsLGJjY2UGlUpOTsY///wj9wdrxhirqlGjRkFZWRlbtmxR6Hg7bdo0ZGZmYsyYMfjzzz9x79497Nu3DwkJCQAK88i+ffsQHx+PK1euwMPD463vAHR1dcWlS5cUaowsMm/ePAQFBeG7777DvXv3sG7dOhw5ckQYyC8oKAi7du3C7du3kZSUhB9++AHq6uowMzOTuz5zc3NEREQgLS2tzLtUgcJzi2vXrmHlypUYOXKkTA+G6jiHUvTzPXz4MHbv3o27d+/Cz88PV69eFbZTlXOKo0ePokOHDuXG9vLlSyF/AcCDBw+E3FZcVFTUWz/uqNGr0yeWMlZL5A2UoMj81NRUGjduHOnr65NEIqF27drRpEmT6MWLF0RUOCDBzJkzSUdHh/T09GjOnDk0bty4MgdQIiJ6/fo1zZ49m4yMjEgsFpOlpSXt3r1bmL98+XIyNDQkJSUl8vLyIqLCwRc2bNhA1tbWpKqqSi1btiRXV1f67bffhOV++eUXsrS0JIlEQn369KHdu3dXegClefPmUYsWLUhLS4vc3d1p/fr1MoMMFD1ceuvWrWRsbExqamo0cuRIysjIkFlvSEgIdevWjcRiMTVr1oz69u1LR44cISIeQIkx1nCVl0vWrVtHRkZGpK6uTq6urhQcHFzmIDdv3ryhMWPGkKmpKYnFYjI2NqZp06bJPNj/6tWrNGDAANLS0iJNTU3q2rVrqQGQiqtoUJiCggLy9/en1q1bk6qqKtnY2NDp06eF+du3b6du3bqRpqYm6ejoUP/+/enatWvC/JL5YseOHWRqakoikYicnZ3L/HwKCgrIyMiIAFBiYmKpuMLCwsjJyYnU1dVJR0eH7O3tafv27WXWo6xBDg4cOEASiYRSUlIoJyeHvL29SVdXl/T09MjHx4cWLlwos9zTp0+FzxcAnT9/nogqzvvynDp1ilq3bi0zSEFF5x0ZGRnk6elJurq6wnfm7t27wvxp06aRhYUFSSQSatmyJXl6elJ6ejoRyR9scfLkydSiRQsCQH5+fkQkf3CjuLg4AkBmZmalBstS5FyjpJLbUHQ/+Omnn6hdu3YkkUjIxcWFHj58KLPeir4XJb+Pzs7OwjlTWby8vIQBt4q/iv73RESrVq0iV1fXctfDGGPlKev4HxAQQC1btqSXL18qdLy9ceMGffDBB6ShoUHa2trUp08fIY9eu3aN7OzsSE1Njdq3b0+HDx8udzAiRa6/8vLyyNjYmMLCwoRp8vJNSVu3bqV27dqRqqoqWVlZyQzUd/ToUXJwcCAdHR3S1NSkXr160blz54T5JWM+fvw4WVpakoqKCpmZmRFR2Xnf3t6eANCvv/5aal5lz6FKbkPRz3fLli00YMAAkkgkZG5uTgcPHpRZb0XnFCW/K0WDDJan6H9S8lU8B/7999+kqqpKjx49KnddTZ0SURkjvTDGGGOMMcbKRURwcHAQHnfAGqbc3Fy0b98e+/fvLzXYGGOMNQVbtmzB8ePHcebMmboOhb2FBQsW4NmzZ9i+fXtdh1Kv8TNDGWOMMcYYqyIlJSVs374dt27dqutQ2FtISUnB4sWLuSGUMdZkff7553j+/DmysrIqNVASq19atWqFOXPm1HUY9R7fGcoYY4wxxhhjjDHGGGsSeAAlxhhjjDHGGGOMMcZYk8CNoYwxxhhjjDHGGGOMsSaBG0MZY4wxxhhjjDHGGGNNAjeGMsYYY4wxxhhjjDHGmgRuDGWMMcYYY4wxxhhjjDUJ3BjKGGOMMcYYY4wxxhhrErgxlDHGGGOMMcYYY4wx1iRwYyhjjDHGGGOMMcYYY6xJ4MZQxhhjjDHGGGOMMcZYk/D/AEXDvFqjWU/4AAAAAElFTkSuQmCC\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "              precision    recall  f1-score    support\n",
       "mask           1.000000  0.909091  0.952381  22.000000\n",
       "no_mask        0.970149  1.000000  0.984848  65.000000\n",
       "accuracy       0.977011  0.977011  0.977011   0.977011\n",
       "macro avg      0.985075  0.954545  0.968615  87.000000\n",
       "weighted avg   0.977698  0.977011  0.976638  87.000000"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-2396162a-e398-4db4-af2f-d288bca9c8c4\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mask</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_mask</th>\n",
       "      <td>0.970149</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.984848</td>\n",
       "      <td>65.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.977011</td>\n",
       "      <td>0.977011</td>\n",
       "      <td>0.977011</td>\n",
       "      <td>0.977011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.985075</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.968615</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.977698</td>\n",
       "      <td>0.977011</td>\n",
       "      <td>0.976638</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2396162a-e398-4db4-af2f-d288bca9c8c4')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-2396162a-e398-4db4-af2f-d288bca9c8c4 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-2396162a-e398-4db4-af2f-d288bca9c8c4');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.011371976956031244,\n        \"min\": 0.9701492537313433,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9701492537313433,\n          0.9776977183050266,\n          0.9770114942528736\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.034416198704683654,\n        \"min\": 0.9090909090909091,\n        \"max\": 1.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.0,\n          0.9545454545454546,\n          0.9090909090909091\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1-score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01232911641925023,\n        \"min\": 0.9523809523809523,\n        \"max\": 0.9848484848484849,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9848484848484849,\n          0.976638304224511,\n          0.9770114942528736\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39.12021102054513,\n        \"min\": 0.9770114942528736,\n        \"max\": 87.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          65.0,\n          87.0,\n          22.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ],
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABUQAAAGMCAYAAAASiKidAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAu2hJREFUeJzs3Xd8Tvf///HnlciUiQwjxCwxYtWeNWLUVrtWrZqlFK3ZGqWltGYpan2o1aJqj6Kovam9N0lEyLqu3x9+rm+vJkgIV8bjfrtdt+Z6n3Pe53kuaU7OK+/zPgaTyWQSAAAAAAAAAKQCNtYOAAAAAAAAAABvCwVRAAAAAAAAAKkGBVEAAAAAAAAAqQYFUQAAAAAAAACpBgVRAAAAAAAAAKkGBVEAAAAAAAAAqQYFUQAAAAAAAACpBgVRAAAAAAAAAKkGBVEAAAAAAAAAqQYFUQAAgCSuUqVKKlCggLVjAAAAACkCBVEAAAC8MatWrZKNjY1u3rxp7SiJbuHChZowYUKcywwGQ5yvr7/+Ota6165dU5MmTeTh4SE3NzfVq1dP58+ff8PpAQAAUq801g4AAACAlOv3339XsWLF5Ovra+0oiW7hwoU6duyYPvnkkziXV6tWTa1bt7ZoK1KkiMX7sLAwVa5cWSEhIfr8889lZ2en7777ThUrVtShQ4eUPn36NxUfAAAg1aIgCgAAgDdmzZo1at++fYK2MRqNioyMlKOj4xtK9XbkyZNHrVq1euE6U6ZM0ZkzZ/T333/r3XfflSTVrFlTBQoU0Lhx4zRq1Ki3ERUAACBV4ZZ5AAAAK3r48KE++eQT+fv7y8HBQd7e3qpWrZoOHDgQa90TJ06ocuXKcnZ2VubMmTV27NhY69y+fVsfffSRfHx85OjoqMDAQP3888+x1jMajZowYYLy588vR0dH+fj4qHPnznrw4IHFevv27VNQUJAyZMggJycnZc+ePd4FzqNHj+rKlSuqXbv2C9czGAzq3r27FixYoPz588vBwUFr166V9PR28vbt28vHx0cODg7Knz+/Zs2aFauPH374Qfnz55ezs7M8PT1VvHhxLVy40Lx82LBhMhgMOnv2rNq2bSsPDw+5u7urXbt2Cg8Pj9Xf/PnzVaxYMTk5OSldunRq1qyZrly5Yl5eqVIl/f7777p06ZL5dnh/f/9Y/Tx+/FhPnjx57rEvXbpU7777rrkYKkl58+ZVlSpV9Msvv7zwcwMAAMCrYYQoAACAFXXp0kVLly5V9+7dFRAQoHv37mnHjh06efKkihYtal7vwYMHqlGjhho2bKgmTZpo6dKl6t+/vwoWLKiaNWtKelp8q1Spks6ePavu3bsre/bsWrJkidq2bavg4GD16tXL3F/nzp01Z84ctWvXTj179tSFCxc0adIkHTx4UDt37pSdnZ1u376t6tWry8vLSwMGDJCHh4cuXryo5cuXx+vY1qxZI29vbxUvXvyl627evFm//PKLunfvrgwZMsjf31+3bt1SqVKlzAVTLy8v/fHHH/roo48UGhpqvlV9xowZ6tmzpxo3bqxevXrpyZMnOnLkiPbs2aMWLVpY7KdJkybKnj27Ro8erQMHDmjmzJny9vbWmDFjzOuMHDlSgwcPVpMmTdShQwfduXNHP/zwgypUqKCDBw/Kw8NDX3zxhUJCQnT16lV99913kiQXFxeLfc2ZM0dTpkyRyWRSvnz5NGjQIIs8RqNRR44cibPAXKJECa1fv14PHz6Uq6trvD5vAAAAxJMJAAAAVuPu7m7q1q3bC9epWLGiSZJp7ty55raIiAiTr6+vqVGjRua2CRMmmCSZ5s+fb26LjIw0lS5d2uTi4mIKDQ01mUwm0/bt202STAsWLLDYz9q1ay3aV6xYYZJk2rt37ysdW/ny5U1t2rR56XqSTDY2Nqbjx49btH/00UemjBkzmu7evWvR3qxZM5O7u7spPDzcZDKZTPXq1TPlz5//hfsYOnSoSZKpffv2Fu0NGjQwpU+f3vz+4sWLJltbW9PIkSMt1jt69KgpTZo0Fu21a9c2ZcuWLc79lSlTxjRhwgTTb7/9Zpo6daqpQIECJkmmKVOmmNe5c+eOSZLpyy+/jLX95MmTTZJMp06deuFxAQAAIOG4ZR4AAMCKPDw8tGfPHl2/fv2F67m4uFjMR2lvb68SJUpYPI18zZo18vX1VfPmzc1tdnZ26tmzp8LCwrRt2zZJ0pIlS+Tu7q5q1arp7t275lexYsXk4uKiLVu2mLNJ0urVqxUVFZWg4woODtauXbteerv8MxUrVlRAQID5vclk0rJly1SnTh2ZTCaLnEFBQQoJCTFPK+Dh4aGrV69q7969L91Ply5dLN6XL19e9+7dU2hoqCRp+fLlMhqNatKkicU+fX19lTt3bvNn8zI7d+5Ur169VLduXXXp0kX79+9XgQIF9Pnnn+vx48eSZP6vg4NDrO2fzZ/6bB0AAAAkHgqiAAAAVjR27FgdO3ZMfn5+KlGihIYNG2ZR5HwmS5YsMhgMFm2enp4Wc35eunRJuXPnlo2N5a94+fLlMy+XpDNnzigkJETe3t7y8vKyeIWFhen27duSnhYpGzVqpOHDhytDhgyqV6+eZs+erYiIiJce17p16yRJ1atXj9fnkD17dov3d+7cUXBwsH788cdYGdu1aydJ5pz9+/eXi4uLSpQoody5c6tbt27auXNnnPvJmjWrxXtPT09JMn+OZ86ckclkUu7cuWPt9+TJk+Z9JpS9vb26d++u4OBg7d+/X5Lk5OQkSXF+ns/mHX22DgAAABIPc4gCAABYUZMmTVS+fHmtWLFC69ev1zfffKMxY8Zo+fLl5rlBJcnW1jbO7U0mU4L3aTQa5e3trQULFsS53MvLS9LThx0tXbpUu3fv1qpVq7Ru3Tq1b99e48aN0+7du2PNmflva9asUdmyZeXu7h6vTP8t/BmNRklSq1at1KZNmzi3KVSokKSnBd/Tp09r9erVWrt2rZYtW6YpU6ZoyJAhGj58uMU2L/scjUajDAaD/vjjjzjXfdExv4yfn58k6f79+5KkdOnSycHBQTdu3Ii17rO2TJkyvfL+AAAAEDcKogAAAFaWMWNGde3aVV27dtXt27dVtGhRjRw50qIgGh/ZsmXTkSNHZDQaLUaJnjp1yrxcknLmzKmNGzeqbNmy8RqBWKpUKZUqVUojR47UwoUL1bJlSy1atEgdOnSIc32TyaS1a9eqb9++Ccr/b15eXnJ1dVVMTIyqVq360vXTpk2rpk2bqmnTpoqMjFTDhg01cuRIDRw40Hz7eXzkzJlTJpNJ2bNnV548eV647n9H7L7Ms5G/zwrONjY2KliwoPbt2xdr3T179ihHjhw8UAkAAOAN4JZ5AAAAK4mJiVFISIhFm7e3tzJlyhSv29L/q1atWrp586YWL15sbouOjtYPP/wgFxcXVaxYUdLTUakxMTH66quvYvURHR2t4OBgSU9vI//vCNTChQtLivs272f27t2r27dvx3v+0LjY2tqqUaNGWrZsmY4dOxZr+Z07d8xf37t3z2KZvb29AgICZDKZEjz3acOGDWVra6vhw4fHOnaTyWSxr7Rp08b69/tvtmcePnyoCRMmKEOGDCpWrJi5vXHjxtq7d69FUfT06dPavHmzPvjggwRlBwAAQPwwQhQAAMBKHj58qCxZsqhx48YKDAyUi4uLNm7cqL1792rcuHEJ7q9Tp06aPn262rZtq/3798vf319Lly7Vzp07NWHCBPNow4oVK6pz584aPXq0Dh06pOrVq8vOzk5nzpzRkiVLNHHiRDVu3Fg///yzpkyZogYNGihnzpx6+PChZsyYITc3N9WqVeu5OX7//Xf5+/tbPCTpVXz99dfasmWLSpYsqY4dOyogIED379/XgQMHtHHjRvOt59WrV5evr6/Kli0rHx8fnTx5UpMmTVLt2rUTPMIyZ86cGjFihAYOHKiLFy+qfv36cnV11YULF7RixQp16tTJPPK1WLFiWrx4sfr06aN3331XLi4uqlOnjiZPnqxff/1VderUUdasWXXjxg3NmjVLly9f1rx582Rvb2/eX9euXTVjxgzVrl1bffv2lZ2dncaPHy8fHx99+umnr/X5AQAAIG4URAEAAKzE2dlZXbt21fr1681PN8+VK5emTJmijz/+OMH9OTk5aevWrRowYIB+/vlnhYaG6p133tHs2bPVtm1bi3WnTZumYsWKafr06fr888+VJk0a+fv7q1WrVipbtqykp4XTv//+W4sWLdKtW7fk7u6uEiVKaMGCBbEegvRva9aseWHBNL58fHz0999/68svv9Ty5cs1ZcoUpU+fXvnz59eYMWPM63Xu3FkLFizQ+PHjFRYWpixZsqhnz54aNGjQK+13wIABypMnj7777jvzHKR+fn6qXr266tata16va9euOnTokGbPnq3vvvtO2bJlU506dVS2bFn99ddfmjlzpu7du6e0adOqRIkSmjVrlt577z2Lfbm6umrr1q3q3bu3RowYIaPRqEqVKum7774z31oPAACAxGUwvcpM/AAAAEAcbt26pYwZM2r16tWJUhQFAAAAEhtziAIAACDRhISEaMiQIapcubK1owAAAABxYoQoAAAAAAAAgFSDEaIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiAAAAAAAAAFINCqIAAAAAAAAAUg0KogAAAAAAAABSDQqiwFu0du1aFS5cWI6OjjIYDAoODk7U/ufMmSODwaCLFy8mar/J3cWLF2UwGDRnzhxrRwEAAABgRQaDQcOGDUv0fv39/dW2bdtE7zexbN26VQaDQVu3brV2lCTtVa+p39T3VXIW12dZqVIlVapUyWqZ/o2CKN4Ig8EQr1di/DAODw/XsGHDkvwP9nv37qlJkyZycnLS5MmTNW/ePKVNm9basZKdNWvWcKIBAAAAUrFnhRaDwaAdO3bEWm4ymeTn5yeDwaD333/fCgkBJHVprB0AKdO8efMs3s+dO1cbNmyI1Z4vX77X3ld4eLiGDx8uSUnmLw1x2bt3rx4+fKivvvpKVatWfSP7+PDDD9WsWTM5ODi8kf6TgjVr1mjy5MkJKopmy5ZNjx8/lp2d3ZsLBgAAAOCtcnR01MKFC1WuXDmL9m3btunq1atxXhc9fvxYadIkfink9OnTsrFhzFly96rX1G/q+wpvDv9aeCNatWpl8X737t3asGFDrPbU5Pbt25IkDw+PN7YPW1tb2dravrH+k5vo6GgZjUbZ29vL0dHR2nEAAAAAJKJatWppyZIl+v777y2KUQsXLlSxYsV09+7dWNu8qeuClDwoJal69OhRot91+arX1En1evNNfEYpBX++gNUYjUZNmDBB+fPnl6Ojo3x8fNS5c2c9ePDAYr19+/YpKChIGTJkkJOTk7Jnz6727dtLejo3pJeXlyRp+PDh5tsmXjZ6MDg4WL1795a/v78cHByUJUsWtW7d2uKEefv2bX300Ufy8fGRo6OjAgMD9fPPP1v082xuym+//VY//vijcubMKQcHB7377rvau3eveb1KlSqpTZs2kqR3331XBoPBPL/M8+aaiWtujR9++EH58+eXs7OzPD09Vbx4cS1cuNC8/HnznUyZMkX58+eXg4ODMmXKpG7dusWav7RSpUoqUKCATpw4ocqVK8vZ2VmZM2fW2LFjX/hZPmMwGNS9e3ctWbJEAQEBcnJyUunSpXX06FFJ0vTp05UrVy45OjqqUqVKsTJu375dH3zwgbJmzSoHBwf5+fmpd+/eevz4sXmdtm3bavLkyeb9PXtJlv8WEyZMMP9bnDhxItYcordv35aXl5cqVaokk8lk7v/s2bNKmzatmjZtGq9jBgAAAGA9zZs3171797RhwwZzW2RkpJYuXaoWLVrEuc1/rxcfPnyoTz75xHxt6O3trWrVqunAgQPmdc6cOaNGjRrJ19dXjo6OypIli5o1a6aQkBDzOv+9rnt2bbZz50716dNHXl5eSps2rRo0aKA7d+5YZDIajRo2bJgyZcokZ2dnVa5cWSdOnEjQvKTXrl3TRx99pEyZMsnBwUHZs2fXxx9/rMjIyOduE59rMEm6efOm2rVrpyxZssjBwUEZM2ZUvXr1LK7pXnTd/iL+/v56//33tX79evPzNgICArR8+XKL9Z59ntu2bVPXrl3l7e2tLFmymJf/8ccfKl++vNKmTStXV1fVrl1bx48fj7W/U6dOqUmTJvLy8pKTk5PeeecdffHFF7H2k9Bji6sOcfDgQdWsWVNubm5ycXFRlSpVtHv37jiPKz7fJy8zbNgwGQwGnThxQi1atJCnp6fF6On58+erWLFicnJyUrp06dSsWTNduXIlVj979uxRrVq15OnpqbRp06pQoUKaOHGiefmRI0fUtm1b5ciRQ46OjvL19VX79u117969BOW1NkaIwmo6d+6sOXPmqF27durZs6cuXLigSZMm6eDBg9q5c6fs7Ox0+/ZtVa9eXV5eXhowYIA8PDx08eJF8w9HLy8vTZ06VR9//LEaNGighg0bSpIKFSr03P2GhYWpfPnyOnnypNq3b6+iRYvq7t27Wrlypa5evaoMGTLo8ePHqlSpks6ePavu3bsre/bsWrJkidq2bavg4GD16tXLos+FCxfq4cOH6ty5swwGg8aOHauGDRvq/PnzsrOz0xdffKF33nlHP/74o7788ktlz55dOXPmTNDnNWPGDPXs2VONGzdWr1699OTJEx05ckR79ux57sleevpDcfjw4apatao+/vhjnT59WlOnTtXevXvNn/MzDx48UI0aNdSwYUM1adJES5cuVf/+/VWwYEHVrFnzpRm3b9+ulStXqlu3bpKk0aNH6/3339dnn32mKVOmqGvXrnrw4IHGjh2r9u3ba/PmzeZtlyxZovDwcH388cdKnz69/v77b/3www+6evWqlixZIunp98z169fjnH7hmdmzZ+vJkyfq1KmTHBwclC5dOhmNRot1vL29NXXqVH3wwQf64Ycf1LNnTxmNRrVt21aurq6aMmXKS48VAAAAgHX5+/urdOnS+t///me+Xvnjjz8UEhKiZs2a6fvvv39pH126dNHSpUvVvXt3BQQE6N69e9qxY4dOnjypokWLKjIyUkFBQYqIiFCPHj3k6+ura9euafXq1QoODpa7u/sL++/Ro4c8PT01dOhQXbx4URMmTFD37t21ePFi8zoDBw7U2LFjVadOHQUFBenw4cMKCgrSkydP4vU5XL9+XSVKlFBwcLA6deqkvHnz6tq1a1q6dKnCw8Nlb28f53bxuQaTpEaNGun48ePq0aOH/P39dfv2bW3YsEGXL182v3/RdfvLnDlzRk2bNlWXLl3Upk0bzZ49Wx988IHWrl2ratWqWazbtWtXeXl5aciQIXr06JGkp1P2tWnTRkFBQRozZozCw8M1depUlStXTgcPHpS/v7+kp4W88uXLy87OTp06dZK/v7/OnTunVatWaeTIkXFme9VjO378uMqXLy83Nzd99tlnsrOz0/Tp01WpUiVt27ZNJUuWtFg/Pt8n8fXBBx8od+7cGjVqlHkA0MiRIzV48GA1adJEHTp00J07d/TDDz+oQoUKOnjwoPlO1g0bNuj9999XxowZ1atXL/n6+urkyZNavXq1uQ6yYcMGnT9/Xu3atZOvr6+OHz+uH3/8UcePH9fu3bvNg5aSPBPwFnTr1s3072+37du3mySZFixYYLHe2rVrLdpXrFhhkmTau3fvc/u+c+eOSZJp6NCh8coyZMgQkyTT8uXLYy0zGo0mk8lkmjBhgkmSaf78+eZlkZGRptKlS5tcXFxMoaGhJpPJZLpw4YJJkil9+vSm+/fvm9f97bffTJJMq1atMrfNnj07zmPJli2bqU2bNrGyVKxY0VSxYkXz+3r16pny58//wmN7to8LFy6YTCaT6fbt2yZ7e3tT9erVTTExMeb1Jk2aZJJkmjVrlsX+JJnmzp1rbouIiDD5+vqaGjVq9ML9mkwmkySTg4ODed8mk8k0ffp0kySTr6+v+TMzmUymgQMHWuQ0mUym8PDwWH2OHj3aZDAYTJcuXTK3/fd76Zln/xZubm6m27dvx7ls9uzZFu3Nmzc3OTs7m/755x/TN998Y5Jk+vXXX196rAAAAACs59/XVpMmTTK5urqaryc++OADU+XKlU0m09Nrrdq1a1ts+99rR3d3d1O3bt2eu6+DBw+aJJmWLFnywkz/va57lrFq1arm60yTyWTq3bu3ydbW1hQcHGwymUymmzdvmtKkSWOqX7++RX/Dhg0zSYrzWvG/WrdubbKxsYnzuvnZvrds2WKSZNqyZYt5WXyuwR48eGCSZPrmm2+eu//4XLc/T7Zs2UySTMuWLTO3hYSEmDJmzGgqUqSIue3Z51muXDlTdHS0uf3hw4cmDw8PU8eOHS36vXnzpsnd3d2ivUKFCiZXV1eL60uTyWTx7/Pfa+r4Htt/v6/q169vsre3N507d87cdv36dZOrq6upQoUKsfb3su+T+Bg6dKhJkql58+YW7RcvXjTZ2tqaRo4cadF+9OhRU5o0aczt0dHRpuzZs5uyZctmevDggcW6/84W1/fN//73P5Mk059//hnr2P593f/fOoc1ccs8rGLJkiVyd3dXtWrVdPfuXfOrWLFicnFx0ZYtWyT933ybq1evVlRUVKLse9myZQoMDFSDBg1iLXv2l4w1a9bI19dXzZs3Ny+zs7NTz549FRYWpm3btlls17RpU3l6eprfly9fXpJ0/vz5RMksPf0srl69anEr/sts3LhRkZGR+uSTTywm+O7YsaPc3Nz0+++/W6zv4uJiMc+rvb29SpQoEe/jqFKlivmvb5LMf/Vq1KiRXF1dY7X/u18nJyfz148ePdLdu3dVpkwZmUwmHTx4MF77f7avZ9MovMykSZPk7u6uxo0ba/Dgwfrwww9Vr169eO8LAAAAgHU1adJEjx8/1urVq/Xw4UOtXr36hXfQ/ZeHh4f27Nmj69evx7n82QjQdevWKTw8PMH5OnXqZDFirnz58oqJidGlS5ckSZs2bVJ0dLS6du1qsV2PHj3i1b/RaNSvv/6qOnXqqHjx4rGWv2i0XnyuwZycnGRvb6+tW7fGmt7umde9bs+UKZPF9bmbm5tat26tgwcP6ubNmxbrduzY0WKOzw0bNig4OFjNmze3qC3Y2tqqZMmS5trCnTt39Oeff6p9+/bKmjWrRZ8v+oxe5dhiYmK0fv161a9fXzly5DC3Z8yYUS1atNCOHTsUGhpqsc3Lvk8SokuXLhbvly9fLqPRqCZNmlh8Rr6+vsqdO7f5Mzp48KAuXLigTz75JNazT/6d7d/fN0+ePNHdu3dVqlQpSbKYaiKpoyAKqzhz5oxCQkLk7e0tLy8vi1dYWJj5AUQVK1ZUo0aNNHz4cGXIkEH16tXT7NmzFRER8cr7PnfunAoUKPDCdS5duqTcuXPHekpgvnz5zMv/7b8/UJ8VR593wngV/fv3l4uLi0qUKKHcuXOrW7du2rlz5wu3eZbznXfesWi3t7dXjhw5Yh1HlixZYp0MPD09430c//0cnv3y4OfnF2f7v/u9fPmy2rZtq3Tp0snFxUVeXl6qWLGiJFnMzfMy2bNnj/e66dKl0/fff68jR47I3d09XrfUAAAAAEg6vLy8VLVqVS1cuFDLly9XTEyMGjduHO/tx44dq2PHjsnPz08lSpTQsGHDLAZuZM+eXX369NHMmTOVIUMGBQUFafLkyfG+RnnZteKza7JcuXJZrJcuXTqLQTcxMTG6efOmxSsyMlJ37txRaGjoS69x4xKfazAHBweNGTNGf/zxh3x8fFShQgWNHTvWolD5utftuXLlinUdmidPHkmK9eyJ/17vnTlzRpL03nvvxaotrF+/3lxbePZvmtDP6VWO7c6dOwoPD491HS49rSkYjcZYc3e+7PskJCQk1r//s1dMTIzFtnF9RiaTSblz5471GZ08edL8GZ07d07Syz+j+/fvq1evXvLx8ZGTk5O8vLzM+0zItbu1MYcorMJoNMrb21sLFiyIc/mzEX4Gg0FLly7V7t27tWrVKq1bt07t27fXuHHjtHv3brm4uLzN2M/1vKfQmf71wJ7ned5fo2JiYiz6zZcvn06fPq3Vq1dr7dq1WrZsmaZMmaIhQ4Zo+PDhrxb8P17nOF60/cv6jYmJUbVq1XT//n31799fefPmVdq0aXXt2jW1bds21hygL/Lvv1bFx7p16yQ9PdFcvXo11l/CAAAAACRtLVq0UMeOHXXz5k3VrFkzQb/TN2nSROXLl9eKFSu0fv16ffPNNxozZoyWL19unpd03Lhxatu2rX777TetX79ePXv21OjRo7V7926LB/vE5XWvsZ65cuVKrELXli1bzIN2Eioh12CffPKJ6tSpo19//VXr1q3T4MGDNXr0aG3evFlFihR5q9ft/73ee5Zz3rx58vX1jbV+mjSvV/Z6W8f2su+TXr16xXrI8zMXLlywuFMzrs/IYDDojz/+iHM/CT2GJk2a6K+//lK/fv1UuHBhubi4yGg0qkaNGgm6drc2CqKwipw5c2rjxo0qW7ZsvApYpUqVUqlSpTRy5EgtXLhQLVu21KJFi9ShQ4cET9ibM2dOHTt27IXrZMuWTUeOHJHRaLQYJXrq1Cnz8sTi6ekZ64nv0tO/FP57eL0k8xPQmzZtqsjISDVs2FAjR47UwIED5ejoGOdxSNLp06ct+oqMjNSFCxdUtWrVRDuO13H06FH9888/+vnnn9W6dWtz+7+fFvlMYk7QvHbtWs2cOVOfffaZFixYoDZt2mjPnj2vfdIEAAAA8PY0aNBAnTt31u7du1/pITQZM2ZU165d1bVrV92+fVtFixbVyJEjLR4sW7BgQRUsWFCDBg3SX3/9pbJly2ratGkaMWLEa2V/ds129uxZi4LnvXv3LO6o8/X1jXV9FBgYKHd3d7m5ub30Gve/EnINJj29jv7000/16aef6syZMypcuLDGjRun+fPnm9d50XX7i5w9e1Ymk8niWu+ff/6RJItC3/NySU8fnPui69tn18MJ/ZyeScixeXl5ydnZWadPn4617NSpU7KxsYl1F+XLfPbZZxbT2/1bXIXgf8uZM6dMJpOyZ89uHnn7vPWkp5/R8z7LBw8eaNOmTRo+fLiGDBlibn82Ujc54ZZ5WEWTJk0UExOjr776Ktay6Ohoc4HwwYMHsf5yVrhwYUkyD1F3dnaWpDiLinFp1KiRDh8+rBUrVsRa9mxftWrV0s2bNy1OptHR0frhhx/k4uJivo0gMeTMmVO7d+9WZGSkuW316tWxhtDfu3fP4r29vb0CAgJkMpmeO5dJ1apVZW9vr++//97ic/zpp58UEhKi2rVrJ9pxvI5nf6X6d0aTyaSJEyfGWjdt2rSS4v/v/TzBwcHq0KGDSpQooVGjRmnmzJk6cOCARo0a9Vr9AgAAAHi7XFxcNHXqVA0bNkx16tSJ93YxMTGxbvH19vZWpkyZzNeboaGhio6OtlinYMGCsrGxea2p3J6pUqWK0qRJo6lTp1q0T5o0yeK9o6OjqlatavHy9PSUjY2N6tevr1WrVmnfvn2x+n/eSNT4XoOFh4fHetp9zpw55erqaj7++Fy3v8j169ctrs9DQ0M1d+5cFS5c+KXFvqCgILm5uWnUqFFxXhffuXNH0tMiZYUKFTRr1ixdvnzZYp0XjdZ9lWOztbVV9erV9dtvv1nc8n/r1i0tXLhQ5cqVk5ub2wuP678CAgJi/fs/e8U1OOrfGjZsKFtbWw0fPjzWsZhMJnOtoWjRosqePbsmTJgQ63r72XZxfd9I0oQJExJ0PEkBw6BgFRUrVlTnzp01evRoHTp0SNWrV5ednZ3OnDmjJUuWaOLEiWrcuLF+/vlnTZkyRQ0aNFDOnDn18OFDzZgxQ25ubqpVq5akp8PBAwICtHjxYuXJk0fp0qVTgQIFnjvvRb9+/bR06VJ98MEHat++vYoVK6b79+9r5cqVmjZtmgIDA9WpUydNnz5dbdu21f79++Xv76+lS5dq586dmjBhgsUDgl5Xhw4dtHTpUtWoUUNNmjTRuXPnNH/+fPNfZ56pXr26fH19VbZsWfn4+OjkyZOaNGmSateu/dw8Xl5eGjhwoIYPH64aNWqobt26On36tKZMmaJ33333uX9hetvy5s2rnDlzqm/fvrp27Zrc3Ny0bNmyOOcuLVasmCSpZ8+eCgoKkq2trZo1a5bgffbq1Uv37t3Txo0bZWtrqxo1aqhDhw4aMWKE6tWrp8DAwNc+LgAAAABvR5s2bRK8zcOHD5UlSxY1btxYgYGBcnFx0caNG7V3716NGzdOkrR582Z1795dH3zwgfLkyaPo6GjNmzdPtra2atSo0Wvn9vHxUa9evTRu3DjVrVtXNWrU0OHDh/XHH38oQ4YM8bpDbtSoUVq/fr0qVqyoTp06KV++fLpx44aWLFmiHTt2xDmFQHyvwf755x9VqVJFTZo0UUBAgNKkSaMVK1bo1q1b5uuw+Fy3v0iePHn00Ucfae/evfLx8dGsWbN069YtzZ49+6Xburm5aerUqfrwww9VtGhRNWvWTF5eXrp8+bJ+//13lS1b1lxc/v7771WuXDkVLVpUnTp1Uvbs2XXx4kX9/vvvOnToUJz9v+qxjRgxQhs2bFC5cuXUtWtXpUmTRtOnT1dERITGjh370uNKTDlz5tSIESM0cOBAXbx4UfXr15erq6suXLigFStWqFOnTurbt69sbGw0depU1alTR4ULF1a7du2UMWNGnTp1SsePH9e6devk5uZmnkc2KipKmTNn1vr163XhwoW3ekyJgYIorGbatGkqVqyYpk+frs8//1xp0qSRv7+/WrVqpbJly0p6Wjj9+++/tWjRIt26dUvu7u4qUaKEFixYYHE7wcyZM9WjRw/17t1bkZGRGjp06HMLoi4uLtq+fbuGDh2qFStW6Oeff5a3t7eqVKlinv/FyclJW7du1YABA/Tzzz8rNDRU77zzjmbPnq22bdsm6ucQFBSkcePGafz48frkk09UvHhxrV69Wp9++qnFep07d9aCBQs0fvx4hYWFKUuWLOrZs6cGDRr0wv6HDRsmLy8vTZo0Sb1791a6dOnUqVMnjRo1SnZ2dol6LK/Kzs5Oq1atMs/F4+joqAYNGqh79+6xCpMNGzZUjx49tGjRIs2fP18mkynBBdGVK1dq7ty5GjdunPLmzWtuHz9+vDZs2KA2bdpo7969SebzAQAAAJD4nJ2d1bVrV61fv978JO5cuXJpypQp+vjjjyU9vS09KChIq1at0rVr1+Ts7KzAwED98ccf5idrv64xY8bI2dlZM2bM0MaNG1W6dGmtX79e5cqVe+noP0nKnDmz9uzZo8GDB2vBggUKDQ1V5syZVbNmTfMdlf8V32swPz8/NW/eXJs2bdK8efOUJk0a5c2bV7/88ou5IBzf6/bnyZ07t3744Qf169dPp0+fVvbs2bV48WIFBQXF6/Nr0aKFMmXKpK+//lrffPONIiIilDlzZpUvX17t2rUzrxcYGKjdu3dr8ODBmjp1qp48eaJs2bKpSZMmz+37VY8tf/782r59uwYOHKjRo0fLaDSqZMmSmj9/vkqWLBmv40pMAwYMUJ48efTdd9+Zn0Hi5+en6tWrq27duub1goKCtGXLFg0fPlzjxo2T0WhUzpw51bFjR/M6CxcuVI8ePTR58mSZTCZVr15df/zxhzJlyvTWj+t1GEwJnckXAAAAAAAAb0xwcLA8PT01YsQIffHFF9aO88b4+/urQIECWr16tbWjIJVhDlEAAAAAAAArefz4cay2Z3MyVqpU6e2GAVIJbpkHAAAAAACwksWLF2vOnDmqVauWXFxctGPHDv3vf/9T9erVzdPJAUhcFEQBAAAAAACspFChQkqTJo3Gjh2r0NBQ84OWRowYYe1oQIrFHKIAAAAAAAAAUg3mEAUAAAAAAACQanDLfBJmNBp1/fp1ubq6ymAwWDsOgGTCZDLp4cOHypQpk2xs+LsXkp8///xT33zzjfbv368bN25oxYoVql+//gu32bp1q/r06aPjx4/Lz89PgwYNUtu2beO9T865AF4V510kd5x3ASQniXXepSCahF2/fl1+fn7WjgEgmbpy5YqyZMli7RhAgj169EiBgYFq3769GjZs+NL1L1y4oNq1a6tLly5asGCBNm3apA4dOihjxowKCgqK1z455wJ4XZx3kVxx3gWQHL3ueZc5RJOwkJAQeXh4yD6gjQy29taOgyRox9Lh1o6AJCgs7KEqF3tHwcHBcnd3t3Yc4LUYDIaXjlTp37+/fv/9dx07dszc1qxZMwUHB2vt2rXx2s+zc+6VK1fk5ub20vVNJpMeR8XEq28AKZeTna0ePnwoPz8/zrtIEd72effy5cuyc0r7urEBJANOdraJMiI8NDQ0Uc67jBBNwp59oxhs7SmIIk4uri+/aEfqxe1HSC127dqlqlWrWrQFBQXpk08+ee42ERERioiIML9/+PChJMnNze2lBVGTyaTG03Zp/6UHrx4aQIpw4ssguT37nZ3zLlKJxDzv2jmlValvd72RnACSluLZPLWkS+lEO1++bj9McgMAAJK1mzdvysfHx6LNx8dHoaGhevz4cZzbjB49Wu7u7uZXQm7bexwVQzEUAJBqve3zLoCUYd+lB0nqDitGiAIAgFRn4MCB6tOnj/n9s1tvEmrfoKpytrdNzGgAkhEnO1s9fGLtFEDS97zzrpOdrU58Gb95RwEkT+GRMSo+YqO1Y8RCQRQAACRrvr6+unXrlkXbrVu35ObmJicnpzi3cXBwkIODw2vv29neVs72/DoFAEg9EvO8azAYOI8CsApumQcAAMla6dKltWnTJou2DRs2qHTp0lZKBABAysV5F0BKQEEUAAAkKWFhYTp06JAOHTokSbpw4YIOHTqky5cvS3p6213r1q3N63fp0kXnz5/XZ599plOnTmnKlCn65Zdf1Lt3b2vEBwAgWeG8CyA1oiAKAACSlH379qlIkSIqUqSIJKlPnz4qUqSIhgwZIkm6ceOG+SJNkrJnz67ff/9dGzZsUGBgoMaNG6eZM2cqKIg5yQAAeBnOuwBSIybrAAAASUqlSpVkMpmeu3zOnDlxbnPw4MFEz2IymWI9DTM8Muk8HRMAgNeVlM67AFK2F/0e7WRnK4PB8NayUBAFAACIg8lkUuNpu7T/0gNrRwEAAACSvRc9bb54Nk8t6VL6rRVFuWUeAAAgDo+jYl5YDC2ezVNOdrZvMREAAACQvDjZ2ap4Ns+Xrrfv0oNYd2a9SYwQBQAAeIl9g6rK2d6y+Pm2b+sBAAAAkhuDwaAlXUo/t9gZHhnzwpGjbwoFUQAAgJdwtreVsz2/NgEAAAAJZTAYktzv0kkrDQAASNYuX76sS5cuKTw8XF5eXsqfP78cHBysHQsAAAAAzCiIAgCA13Lx4kVNnTpVixYt0tWrVy2eVGtvb6/y5curU6dOatSokWxsmL4cAAAAgHVxVQIAAF5Zz549FRgYqAsXLmjEiBE6ceKEQkJCFBkZqZs3b2rNmjUqV66chgwZokKFCmnv3r3WjgwAAAAglWOEKAAAeGVp06bV+fPnlT59+ljLvL299d577+m9997T0KFDtXbtWl25ckXvvvuuFZLGn8lk0uOoGIVHvr2nXAIAAAB4eyiIAgCAVzZ69Oh4r1ujRo03mCRxmEwmNZ62S/svPbB2FAAAAABvCLfMAwAA/H+Po2JiFUOLZ/OUk52tlRIBAAAASGyMEAUAAG/UyZMnVbt2bZ0/f97aURJk36Cqcra3lZOdrQwGg7XjAAAAAEgkFEQBAMAbFRkZqUuXLlk7RoI529vK2Z5flQAAAICUht/yAQDAa+nTp88Ll9+5c+ctJQEAAACAl6MgCgAAXsvEiRNVuHBhubm5xbk8LCzsLScCAAAAkNyER8Y8d1liT2NFQRQAALyWXLlyqXfv3mrVqlWcyw8dOqRixYq95VQAAAAAkjqT6f++Lj5i43PXK57NU0u6lE60/fKUeQAA8FqKFy+u/fv3P3e5wWCQ6d+/6QAAAACApMdRzx8V+m/7Lj2I97rxwQhRAADwWsaNG6eIiIjnLg8MDJTRaHyLiQAAAAAkB+mc7c1fHxseJJv/3BUfHhnzwpGjr4qCKAAAeC2+vr7WjgAAAAAgGbKxMej8qFrmr98WCqIAAAAAAAAArOJtFkLN+3zrewQAAAAAAAAAK6EgCgAAAAAAACDVoCAKAAAAAAAAINWgIAoAAAAAAAAg1aAgCgAAEs2ff/6pffv2WbTt27dPf/75p5USAQAAAIAlnjIPAAASTaVKlZQ3b16dOHHC3Pbhhx/qn3/+UUxMjBWTAQAAAMBTFEQBAECiuXDhguzs7CzaNm3apKioKCslAgAAAABLFEQBAECiyZYtW6y2TJkyWSEJAAAAAMSNOUQBAAAAAAAApBqMEAUAAK/M09NTBoMhXuvev3//DacBAAAAgJejIAoAAF7ZhAkTrB0BAAAAABKEgigAAHhlbdq0sXYEAAAAAEgQ5hAFAACJ5ty5cxo0aJCaN2+u27dvS5L++OMPHT9+3MrJAAAAAOApCqIAACBRbNu2TQULFtSePXu0fPlyhYWFSZIOHz6soUOHWjkdAAAAADxFQRQAACSKAQMGaMSIEdqwYYPs7e3N7e+99552795txWQAAAAA8H8oiAIAgERx9OhRNWjQIFa7t7e37t69a4VEAAAAABAbD1UCAACJwsPDQzdu3FD27Nkt2g8ePKjMmTNbKRUAAClTRESE9uzZo0uXLik8PFxeXl4qUqRIrPMwACA2CqIAACBRNGvWTP3799eSJUtkMBhkNBq1c+dO9e3bV61bt7Z2PAAAUoSdO3dq4sSJWrVqlaKiouTu7i4nJyfdv39fERERypEjhzp16qQuXbrI1dXV2nEBIEnilnkAAJAoRo0apbx588rPz09hYWEKCAhQhQoVVKZMGQ0aNMja8QAASPbq1q2rpk2byt/fX+vXr9fDhw917949Xb16VeHh4Tpz5owGDRqkTZs2KU+ePNqwYYO1IwNAksQIUQAAkCjs7e01Y8YMDR48WMeOHVNYWJiKFCmi3LlzWzsaAAApQu3atbVs2TLZ2dnFuTxHjhzKkSOH2rRpoxMnTujGjRtvOSEAJA8URAEAQKLKmjWr/Pz8JEkGg8HKaQAASDk6d+4c73UDAgIUEBDwBtMAQPLFLfMAACDR/PTTTypQoIAcHR3l6OioAgUKaObMmdaOBQAAAABmjBAFAACJYsiQIRo/frx69Oih0qVLS5J27dql3r176/Lly/ryyy+tnBAAgJTv8OHDKlq0qGJiYqwdBQCSLAqiAAAgUUydOlUzZsxQ8+bNzW1169ZVoUKF1KNHDwqiAAC8JSaTydoRACBJ45Z5AACQKKKiolS8ePFY7cWKFVN0dHSC+5s8ebL8/f3l6OiokiVL6u+//37h+hMmTNA777wjJycn+fn5qXfv3nry5EmC9wsAQFLWsGHDF7769OnzSnN4c94FkJpQEAUAAIniww8/1NSpU2O1//jjj2rZsmWC+lq8eLH69OmjoUOH6sCBAwoMDFRQUJBu374d5/oLFy7UgAEDNHToUJ08eVI//fSTFi9erM8///yVjgUAgKRq1apVevLkidzd3eN8ubi4JLhPzrsAUhtumQcAAK+sT58+5q8NBoNmzpyp9evXq1SpUpKkPXv26PLly2rdunWC+h0/frw6duyodu3aSZKmTZum33//XbNmzdKAAQNirf/XX3+pbNmyatGihSTJ399fzZs31549e+LsPyIiQhEREeb3oaGhCcoHAIC15MuXT40aNdJHH30U5/JDhw5p9erVCeqT8y6A1IYRogAA4JUdPHjQ/Dp69KiKFSsmLy8vnTt3TufOnVOGDBlUtGhRHT9+PN59RkZGav/+/apataq5zcbGRlWrVtWuXbvi3KZMmTLav3+/+fa+8+fPa82aNapVq1ac648ePdpiNI2fn18CjhoAAOspVqyYDhw48NzlDg4Oypo1a7z747wLIDVihCgAAHhlW7ZsSfQ+7969q5iYGPn4+Fi0+/j46NSpU3Fu06JFC929e1flypWTyWRSdHS0unTp8txb9wYOHGgxujU0NJSLMwBAsjBt2rQXPkE+X758unDhQrz747wLIDVihCgAAEj2tm7dqlGjRmnKlCk6cOCAli9frt9//11fffVVnOs7ODjIzc3N4gUAQHLg4OAgZ2dnq2bgvAsguWOEKAAASDT79u3TL7/8osuXLysyMtJi2fLly+PVR4YMGWRra6tbt25ZtN+6dUu+vr5xbjN48GB9+OGH6tChgySpYMGCevTokTp16qQvvvhCNjb8DRgAgLhw3gWQGvFTCgAAJIpFixapTJkyOnnypFasWKGoqCgdP35cmzdvlru7e7z7sbe3V7FixbRp0yZzm9Fo1KZNm1S6dOk4twkPD4918WVraytJMplMr3A0AACkDpx3AaRGjBAFAACJYtSoUfruu+/UrVs3ubq6auLEicqePbs6d+6sjBkzJqivPn36qE2bNipevLhKlCihCRMm6NGjR+an37Zu3VqZM2fW6NGjJUl16tTR+PHjVaRIEZUsWVJnz57V4MGDVadOHfMFGgAAiBvnXQCpDQVRAACQKM6dO6fatWtLejra5NGjRzIYDOrdu7fee+89DR8+PN59NW3aVHfu3NGQIUN08+ZNFS5cWGvXrjU/8OHy5csWI1MGDRokg8GgQYMG6dq1a/Ly8lKdOnU0cuTIxD1IAABSIM67AFIbCqJIUg7/NlxZM6WP1T5zyZ/qN/YXrZrWS+WK5bZYNnvZDvX5etHbiggr2n/0vOYu+1Mnzl7V3fsPNX5Qa1Uuk1+SFBUdoylz12nH3tO6evOeXNI6qmTh3OrZrqa80zNpO/A2eHp66uHDh5KkzJkz69ixYypYsKCCg4MVHh6e4P66d++u7t27x7ls69atFu/TpEmjoUOHaujQoQneDwAA4LwLIHVJtQXRtm3bKjg4WL/++qu1o+Bf3mvzjWxtDeb3+XJm0q+Te+jXjQfNbXNW7NTo6avN7x8/iXqrGWE9j59EKk/2jKpXvbg+HTHPYtmTiEidPHtNHZu/pzw5Mik0LFzfTFulT4bP0cLve1opMZC6VKhQQRs2bFDBggX1wQcfqFevXtq8ebM2bNigKlWqWDseAAApzty5c+Xu7q569eqZ23777TeFhISodevWVkwGAElbqi2IImm6Fxxm8f6TNgV0/sod7Txwxtz2+Emkbt97+LajIQko925elXs3b5zLXNM6adqojhZtA7rWU6tPJunG7QfK6O35NiICqdqkSZP05MkTSdIXX3whOzs7/fXXX2rUqJEGDRpk5XQAAKQ8bdu2Vd68eS0Kov3799eZM2coiALAC1AQRZJll8ZWTWq+qykLNlu0f1CjuJrUfFe374Vq7fZj+mbmH3ocwShRxPbw0RMZDAa5ujhZOwqQKqRLl878tY2NjQYMGGDFNAAApHxGozFW26lTp6yQBACSF5uXr5K8LV26VAULFpSTk5PSp0+vqlWr6tGjR+bl3377rTJmzKj06dOrW7duior6v8LagwcP1Lp1a3l6esrZ2Vk1a9bUmTNnLPrfsWOHypcvLycnJ/n5+alnz54W/U+ZMkW5c+eWo6OjfHx81Lhx4+dmjYiIUGhoqMUrNatdqZDcXZy0cPUec9vSdfvUechc1e3yvb6bs15Nar6r6V+1sWJKJFURkVH6fvYfqlExUC7OjtaOA6RY/z1vvegFAAAAAElBih4heuPGDTVv3lxjx45VgwYN9PDhQ23fvl0mk0mStGXLFmXMmFFbtmzR2bNn1bRpUxUuXFgdOz697bZt27Y6c+aMVq5cKTc3N/Xv31+1atXSiRMnZGdnp3PnzqlGjRoaMWKEZs2apTt37pgnop49e7b27dunnj17at68eSpTpozu37+v7du3Pzfv6NGjE/QE3pSuVd0y2rjrhG7eDTG3/bxip/nrE+eu6+bdUK2c2lP+mTPo4rW71oiJJCgqOkafjV4gk8mkz7s3sHYcIEXz8PCQwWB44Tomk0kGg0ExMTFvKRUAAClTQv7A6ObGg0UB4HlSfEE0OjpaDRs2VLZs2SRJBQsWNC/39PTUpEmTZGtrq7x586p27dratGmTOnbsaC6E7ty5U2XKlJEkLViwQH5+fvr111/1wQcfaPTo0WrZsqU++eQTSVLu3Ln1/fffq2LFipo6daouX76stGnT6v3335erq6uyZcumIkWKPDfvwIED1adPH/P70NBQ+fn5vYFPJunz8/VUpRLv6MPPZrxwvf3HLkqScvh5URCFpKfF0P6jF+jG7WD9OLojo0OBN2zLli3WjgAAQKrBHyIBIHGk6IJoYGCgqlSpooIFCyooKEjVq1dX48aN5en59OEq+fPnl62trXn9jBkz6ujRo5KkkydPKk2aNCpZsqR5efr06fXOO+/o5MmTkqTDhw/ryJEjWrBggXkdk8kko9GoCxcuqFq1asqWLZty5MihGjVqqEaNGmrQoIGcnZ3jzOvg4CAHB4dE/xySoxZ1SuvOg4dav/P4C9crmCeLJOnWv0aRIvV6Vgy9fP2ufvy6kzzc0lo7EpDiVaxY0doRAABINfhDJAAkjhRdELW1tdWGDRv0119/af369frhhx/0xRdfaM+ep3NS2tnZWaxvMBjinJT6ecLCwtS5c2f17Nkz1rKsWbPK3t5eBw4c0NatW7V+/XoNGTJEw4YN0969e+Xh4fFax5aSGQwGtaxTSot+36OYmP/79/DPnEGNaxTXhp3HdT/kkQrkzqyRvRtq54EzOn72uhUT420JfxyhK9fvmd9fu3Vfp89dl5urkzKkc1O/UfN16uw1TRzWVsYYk+7efyhJcnd1kp1div5xBwAAgFSAP0QCQOJI8RUCg8GgsmXLqmzZshoyZIiyZcumFStWvHS7fPnyKTo6Wnv27DHfMn/v3j2dPn1aAQEBkqSiRYvqxIkTypUr13P7SZMmjapWraqqVatq6NCh8vDw0ObNm9WwYcPEOcAUqFKJd+SXMZ3mr9xt0R4VHa1KJd7Rx80qy9nJXtduPdCqzYf07ax1VkqKt+3EmavqOOBH8/txM1ZLkupULaYuLatq2+4TkqRm3SdabDfj604qXijn2wsKAAAAvAXbt2/X9OnTdf78eS1ZskSZM2fWvHnzlD17dpUrV87a8QAgyUrRBdE9e/Zo06ZNql69ury9vbVnzx7duXNH+fLl05EjR164be7cuVWvXj117NhR06dPl6urqwYMGKDMmTOrXr16kqT+/furVKlS6t69uzp06KC0adPqxIkT2rBhgyZNmqTVq1fr/PnzqlChgjw9PbVmzRoZjUa98847b+Pwk60te07J893usdqv3QrW+50nxrEFUovihXLq4Joxz13+omUAAABASrJs2TJ9+OGHatmypQ4cOKCIiAhJUkhIiEaNGqU1a9ZYOSEAJF021g7wJrm5uenPP/9UrVq1lCdPHg0aNEjjxo1TzZo147X97NmzVaxYMb3//vsqXbq0TCaT1qxZY77VvlChQtq2bZv++ecflS9fXkWKFNGQIUOUKVMmSU8nvF6+fLnee+895cuXT9OmTdP//vc/5c+f/40dMwAAAAAg5RsxYoSmTZumGTNmWEwHV7ZsWR04cMCKyQAg6UvRI0Tz5cuntWvXxrlszpw5sdomTJhg8d7T01Nz58594T7effddrV+/Ps5l5cqV09atW+MTFQCAFCE6Olpbt27VuXPn1KJFC7m6uur69etyc3OTi4uLteMBAJBinD59WhUqVIjV7u7uruDg4LcfCACSkRRdEAUAAG/PpUuXVKNGDV2+fFkRERGqVq2aXF1dNWbMGEVERGjatGnWjggAQIrh6+urs2fPyt/f36J9x44dypEjh3VCAUAykaJvmQcAAG9Pr169VLx4cT148EBOTk7m9gYNGmjTpk1WTAYAQMrTsWNH9erVS3v27JHBYND169e1YMEC9e3bVx9//LG14wFAksYIUQAAkCi2b9+uv/76S/b29hbt/v7+unbtmpVSAQCQMg0YMEBGo1FVqlRReHi4KlSoIAcHB/Xt21c9evSwdjwASNIoiAIAgERhNBoVExMTq/3q1atydXW1QiIAAFIug8GgL774Qv369dPZs2cVFhamgIAA5uwGgHjglnkAAJAoqlevbvGAQoPBoLCwMA0dOlS1atWyXjAAAFIwe3t7ubq6KmPGjBRDASCeKIgCAIBEMW7cOO3cuVMBAQF68uSJWrRoYb5dfsyYMdaOBwBAihIdHa3BgwfL3d1d/v7+8vf3l7u7uwYNGqSoqChrxwOAJI1b5gEAQKLIkiWLDh8+rEWLFunIkSMKCwvTRx99pJYtW1o8ZAkAALy+Hj16aPny5Ro7dqxKly4tSdq1a5eGDRume/fuaerUqVZOCABJFwVRAACQKJ48eSJHR0e1atXK2lEAAEjxFi5cqEWLFqlmzZrmtkKFCsnPz0/NmzenIAoAL8At8wAAIFF4e3urTZs22rBhg4xGo7XjAACQojk4OMjf3z9We/bs2WVvb//2AwFAMkJBFAAAJIqff/5Z4eHhqlevnjJnzqxPPvlE+/bts3YsAABSpO7du+urr75SRESEuS0iIkIjR45U9+7drZgMAJI+bpkHAACJokGDBmrQoIEePnyopUuX6n//+59KlSqlHDlyqFWrVhoyZIi1IwIAkKw1bNjQ4v3GjRuVJUsWBQYGSpIOHz6syMhIValSxRrxACDZoCAKAAASlaurq9q1a6d27drpxIkTatmypYYPH05BFACA1+Tu7m7xvlGjRhbv/fz83mYcAEi2KIgCAIBE9eTJE61cuVILFy7U2rVr5ePjo379+lk7FgAAyd7s2bOtHQEAUgQKogAAIFGsW7dOCxcu1K+//qo0adKocePGWr9+vSpUqGDtaAAAAABgRkEUAAAkigYNGuj999/X3LlzVatWLdnZ2Vk7EgAAKdrSpUv1yy+/6PLly4qMjLRYduDAASulAoCkj6fMAwCARHHr1i398ssvqlevHsVQAADesO+//17t2rWTj4+PDh48qBIlSih9+vQ6f/68atasae14AJCkMUIUAAC8stDQULm5uUmSTCaTQkNDn7vus/UAAMDrmzJlin788Uc1b95cc+bM0WeffaYcOXJoyJAhun//vrXjAUCSRkEUAAC8Mk9PT924cUPe3t7y8PCQwWCItY7JZJLBYFBMTIwVEgIAkDJdvnxZZcqUkSQ5OTnp4cOHkqQPP/xQpUqV0qRJk6wZDwCSNAqiAADglW3evFnp0qWTJG3ZssXKaQAASD18fX11//59ZcuWTVmzZtXu3bsVGBioCxcuyGQyWTseACRpFEQBAMArq1ixovnr7Nmzy8/PL9YoUZPJpCtXrrztaAAApGjvvfeeVq5cqSJFiqhdu3bq3bu3li5dqn379qlhw4bWjgcASRoFUQAAkCiyZ89uvn3+3+7fv6/s2bNzyzwAAInoxx9/lNFolCR169ZN6dOn119//aW6deuqc+fOVk4HAEkbBVEAAJAons0V+l9hYWFydHS0QiIAAFIuGxsb2djYmN83a9ZMzZo1s2IiAEg+KIgCAIDX0qdPH0mSwWDQ4MGD5ezsbF4WExOjPXv2qHDhwlZKBwBAynHkyJF4r1uoUKE3mAQAkjcKogAA4LUcPHhQ0tMRokePHpW9vb15mb29vQIDA9W3b19rxQMAIMUoXLiwDAbDSx+aZDAYmKoGAF6AgigAAHgtz54u365dO02cOFFubm5WTgQAQMp04cIFa0cAgBSBgigAAEgUs2fPtnYEAABStGzZslk7AgCkCBREAQDAK2vYsKHmzJkjNzc3NWzY8IXrLl++/C2lAgAAAIDnoyAKAABembu7u/nJ8u7u7lZOAwAAAAAvR0EUAAC8sn/fJs8t8wAAAACSg3gVRFeuXBnvDuvWrfvKYQAAQPL1+PFjmUwmOTs7S5IuXbqkFStWKCAgQNWrV7dyOgAAAAB4yiY+K9WvXz9erwYNGrzpvAAAIImqV6+e5s6dK0kKDg5WiRIlNG7cONWrV09Tp05NcH+TJ0+Wv7+/HB0dVbJkSf39998vXD84OFjdunVTxowZ5eDgoDx58mjNmjWvdCwAACQHwcHBmjlzpgYOHKj79+9Lkg4cOKBr164luC/OuwBSk3gVRI1GY7xeMTExbzovAABIog4cOKDy5ctLkpYuXSpfX19dunRJc+fO1ffff5+gvhYvXqw+ffpo6NChOnDggAIDAxUUFKTbt2/HuX5kZKSqVaumixcvaunSpTp9+rRmzJihzJkzv/ZxAQCQFB05ckR58uTRmDFj9O233yo4OFjS04cYDhw4MEF9cd4FkNq81hyiT548kaOjY2JlAQAAyVh4eLhcXV0lSevXr1fDhg1lY2OjUqVK6dKlSwnqa/z48erYsaPatWsnSZo2bZp+//13zZo1SwMGDIi1/qxZs3T//n399ddfsrOzkyT5+/s/t/+IiAhFRESY34eGhiYoHwAA1tanTx+1bdtWY8eONZ9/JalWrVpq0aJFgvrivAsgtYnXCNF/i4mJ0VdffaXMmTPLxcVF58+flyQNHjxYP/30U6IHBAAAyUOuXLn066+/6sqVK1q3bp153tDbt2/Lzc0t3v1ERkZq//79qlq1qrnNxsZGVatW1a5du+LcZuXKlSpdurS6desmHx8fFShQQKNGjXru3SujR4+Wu7u7+eXn55eAIwUAwPr27t2rzp07x2rPnDmzbt68Ge9+OO8CSI0SXBAdOXKk5syZo7Fjx8re3t7cXqBAAc2cOTNRwwEAgORjyJAh6tu3r/z9/VWiRAmVLl1a0tPRokWKFIl3P3fv3lVMTIx8fHws2n18fJ57gXf+/HktXbpUMTExWrNmjQYPHqxx48ZpxIgRca4/cOBAhYSEmF9XrlyJdz4AAJICBweHOEda/vPPP/Ly8op3P5x3AaRGCb5lfu7cufrxxx9VpUoVdenSxdweGBioU6dOJWo4AACQfDRu3FjlypXTjRs3FBgYaG6vUqXKG3/wotFolLe3t3788UfZ2tqqWLFiunbtmr755hsNHTo01voODg5ycHB4o5kAAHiT6tatqy+//FK//PKLJMlgMOjy5cvq37+/GjVq9Eb3zXkXQHKX4ILotWvXlCtXrljtRqNRUVFRiRIKAAAkT76+vvL19dXVq1clSVmyZFGJEiUS1EeGDBlka2urW7duWbTfunVLvr6+cW6TMWNG2dnZydbW1tyWL18+3bx5U5GRkRZ3tQAAkBKMGzdOjRs3lre3tx4/fqyKFSvq5s2bKl26tEaOHBnvfjjvAkiNEnzLfEBAgLZv3x6rfenSpQm6HQ4AAKQsRqNRX375pdzd3ZUtWzZly5ZNHh4e+uqrr2Q0GuPdj729vYoVK6ZNmzZZ9L1p0ybzbfj/VbZsWZ09e9ZiP//8848yZszIRRkAIEVyd3fXhg0btGrVKn3//ffq3r271qxZo23btilt2rTx7ofzLoDUKMEjRIcMGaI2bdro2rVrMhqNWr58uU6fPq25c+dq9erVbyIjAABIBr744gv99NNP+vrrr1W2bFlJ0o4dOzRs2DA9efIkQaNV+vTpozZt2qh48eIqUaKEJkyYoEePHpmfftu6dWtlzpxZo0ePliR9/PHHmjRpknr16qUePXrozJkzGjVqlHr27Jn4BwoAQBJw5coV+fn5qVy5cipXrtxr9cV5F0Bqk+CCaL169bRq1Sp9+eWXSps2rYYMGaKiRYtq1apVqlat2pvICAAAkoGff/5ZM2fOVN26dc1thQoVUubMmdW1a9cEFUSbNm2qO3fuaMiQIbp586YKFy6stWvXmh/4cPnyZdnY/N+NLn5+flq3bp169+5t3mevXr3Uv3//xDtAAACSEH9/f5UrV06tWrVS48aN5enp+cp9cd4FkNoYTCaTydohELfQ0FC5u7vLoWBHGWy57QCxHVwzxtoRkASFPQzVu+9kUkhIiNzc3KwdB6mIo6Ojjhw5ojx58li0nz59WoULF9bjx4+tlOzlnp1zb9y5p1Lf7pIknfgySM72Cf7bMYBU5tnPD867eNsOHjyohQsXatGiRbpz545q1KihVq1aqU6dOkn+AUb8fwMgvsIjoxUwZJ2kp7+fRz8JT5SfHwmeQ/SZffv2ad68eZo3b57279//ygEAAEDKEBgYqEmTJsVqnzRpksVT5wEAwOsrUqSIvvnmG12+fFl//PGHvLy81KlTJ/n4+Kh9+/bWjgcASVqChz1cvXpVzZs3186dO+Xh4SFJCg4OVpkyZbRo0SJlyZIlsTMCAIBkYOzYsapdu7Y2btxofgjDrl27dOXKFa1Zs8bK6QAASJkMBoMqV66sypUr6+OPP9ZHH32kn3/+WbNmzbJ2NABIshI8QrRDhw6KiorSyZMndf/+fd2/f18nT56U0WhUhw4d3kRGAACQDFSsWFH//POPGjZsqODgYAUHB6thw4Y6ffq0ypcvb+14AACkSFevXtXYsWNVuHBhlShRQi4uLpo8ebK1YwFAkpbgEaLbtm3TX3/9pXfeecfc9s477+iHH37gYgcAgFTq4sWL2rBhgyIjI9WsWTMVKFDA2pEAAEjRpk+froULF2rnzp3KmzevWrZsqd9++03ZsmWzdjQASPISXBD18/NTVFRUrPaYmBhlypQpUUIBAIDkY8uWLXr//ffND01KkyaNZs2apVatWlk5GQAAKdeIESPUvHlzff/998zVDQAJlOBb5r/55hv16NFD+/btM7ft27dPvXr10rfffpuo4QAAQNI3ePBgVatWTdeuXdO9e/fUsWNHffbZZ9aOBQBAinb58mWNHTuWYigAvIJ4jRD19PSUwWAwv3/06JFKliypNGmebh4dHa00adKoffv2ql+//hsJCgAAkqZjx47pr7/+UsaMGSU9/ePp9OnTde/ePaVPn97K6QAASDmOHDmiAgUKyMbGRkePHn3huoUKFXpLqQAg+YlXQXTChAlvOAYAAEiuQkNDlSFDBvN7Z2dnOTk5KSQkhIIoAACJqHDhwrp586a8vb1VuHBhGQwGmUwm8/Jn7w0Gg2JiYqyYFACStngVRNu0afOmcwAAgGRs3bp1cnd3N783Go3atGmTjh07Zm6rW7euNaIBAJBiXLhwQV5eXuavAQCvJsEPVfq3J0+eKDIy0qLNzc3ttQIBAIDkJ64/nnbu3Nn8NSNVAAB4ff9+gvylS5dUpkwZ81R2z0RHR+uvv/7iafMA8AIJfqjSo0eP1L17d3l7eytt2rTy9PS0eAEAgNTFaDS+9EUxFACAxFW5cmXdv38/VntISIgqV65shUQAkHwkuCD62WefafPmzZo6daocHBw0c+ZMDR8+XJkyZdLcuXPfREYAAAAAAPAvz+YK/a979+4pbdq0VkgEAMlHgm+ZX7VqlebOnatKlSqpXbt2Kl++vHLlyqVs2bJpwYIFatmy5ZvICQAAkqDdu3erVKlS8Vo3PDxcFy5cUP78+d9wKgAAUq6GDRtKejodTdu2beXg4GBeFhMToyNHjqhMmTLWigcAyUKCR4jev39fOXLkkPR0vtBnQ/TLlSunP//8M3HTAQCAJO3DDz9UUFCQlixZokePHsW5zokTJ/T5558rZ86c2r9//1tOCABAyuLu7i53d3eZTCa5urqa37u7u8vX11edOnXS/PnzrR0TAJK0BI8QzZEjhy5cuKCsWbMqb968+uWXX1SiRAmtWrVKHh4ebyAiAABIqk6cOKGpU6dq0KBBatGihfLkyaNMmTLJ0dFRDx480KlTpxQWFqYGDRpo/fr1KliwoLUjAwCQrM2ePVuS5O/vr759+3J7PAC8ggQXRNu1a6fDhw+rYsWKGjBggOrUqaNJkyYpKipK48ePfxMZAQBAEmVnZ6eePXuqZ8+e2rdvn3bs2KFLly7p8ePHCgwMVO/evVW5cmWlS5fO2lEBAEhRhg4dau0IAJBsJbgg2rt3b/PXVatW1alTp7R//37lypVLhQoVStRwAAAg+ShevLiKFy9u7RgAAKRYRYsW1aZNm+Tp6akiRYrE+VClZw4cOPAWkwFA8pLgguh/ZcuWTdmyZUuMLAAAAAAA4Dnq1atnfohS/fr1rRsGAJKxeBVEv//++3h32LNnz1cOAwAAAAAA4vbv2+S5ZR4AXl28CqLfffddvDozGAwURN+Ay1u/lZubm7VjIAn6dutZa0dAEvTk0UNrRwAAAMAbduXKFRkMBmXJkkWS9Pfff2vhwoUKCAhQp06drJwOAJK2eBVEL1y48KZzAAAAAACAeGrRooU6deqkDz/8UDdv3lTVqlVVoEABLViwQDdv3tSQIUOsHREAkiwbawcAAAApz5MnT6wdAQCAFO3YsWMqUaKEJOmXX35RwYIF9ddff2nBggWaM2eOdcMBQBJHQRQAACQKo9Gor776SpkzZ5aLi4vOnz8vSRo8eLB++uknK6cDACBliYqKMj9gaePGjapbt64kKW/evLpx44Y1owFAkkdBFAAAJIoRI0Zozpw5Gjt2rOzt7c3tBQoU0MyZM62YDACAlCd//vyaNm2atm/frg0bNqhGjRqSpOvXryt9+vRWTgcASRsFUQAAkCjmzp2rH3/8US1btpStra25PTAwUKdOnbJiMgAAUp4xY8Zo+vTpqlSpkpo3b67AwEBJ0sqVK8230gMA4havhyoBAAC8zLVr15QrV65Y7UajUVFRUVZIBABAylWpUiXdvXtXoaGh8vT0NLd36tRJzs7OVkwGAEnfK40Q3b59u1q1aqXSpUvr2rVrkqR58+Zpx44diRoOAAAkHwEBAdq+fXus9qVLl6pIkSJWSAQAQMpma2ur6Oho7dixQzt27NCdO3fk7+8vb29va0cDgCQtwSNEly1bpg8//FAtW7bUwYMHFRERIUkKCQnRqFGjtGbNmkQPCQAAkr4hQ4aoTZs2unbtmoxGo5YvX67Tp09r7ty5Wr16tbXjAQCQojx69Eg9evTQ3LlzZTQaJT0tkLZu3Vo//PADo0QB4AUSPEJ0xIgRmjZtmmbMmCE7Oztze9myZXXgwIFEDQcAAJKPevXqadWqVdq4caPSpk2rIUOG6OTJk1q1apWqVatm7XgAAKQoffr00bZt27Rq1SoFBwcrODhYv/32m7Zt26ZPP/3U2vEAIElL8AjR06dPq0KFCrHa3d3dFRwcnBiZAABAMlW+fHlt2LDB2jEAAEjxli1bpqVLl6pSpUrmtlq1asnJyUlNmjTR1KlTrRcOAJK4BI8Q9fX11dmzZ2O179ixQzly5EiUUAAAIPnJkSOH7t27F6s9ODiY3xEAAEhk4eHh8vHxidXu7e2t8PBwKyQCgOQjwQXRjh07qlevXtqzZ48MBoOuX7+uBQsWqG/fvvr444/fREYAAJAMXLx4UTExMbHaIyIizA9hBAAAiaN06dIaOnSonjx5Ym57/Pixhg8frtKlS1sxGQAkfQm+ZX7AgAEyGo2qUqWKwsPDVaFCBTk4OKhv377q0aPHm8gIAACSsJUrV5q/Xrdundzd3c3vY2JitGnTJvn7+1shGQAAKdeECRMUFBSkLFmyKDAwUJJ0+PBhOTo6at26dVZOBwBJW4ILogaDQV988YX69euns2fPKiwsTAEBAXJxcXkT+QAAQBJXv359SU9/R2jTpo3FMjs7O/n7+2vcuHFWSAYAQMpVsGBBnT17VgsXLtTJkyclSc2bN1fLli3l5ORk5XQAkLQluCD6jL29vQICAhIzCwAASIaMRqMkKXv27Nq7d68yZMhg5UQAAKRsu3fv1qpVqxQZGan33ntPHTp0sHYkAEhWElwQrVy5sgwGw3OXb968+bUCAQCA5OnChQvWjgAAQIq3dOlSNW3aVE5OTrKzs9P48eM1ZswY9e3b19rRACDZSHBBtHDhwhbvo6KidOjQIR07dizWbXIAACB1efTokbZt26bLly8rMjLSYlnPnj2tlAoAgJRj9OjR6tixoyZPnixbW1uNHj1ao0aNoiAKAAmQ4ILod999F2f7sGHDFBYW9tqBAABA8nTw4EHVqlVL4eHhevTokdKlS6e7d+/K2dlZ3t7eFEQBAEgEp0+f1uLFi2VraytJ+vTTTzVkyBDdvn1b3t7eVk4HAMmDTWJ11KpVK82aNSuxugMAAMlM7969VadOHT148EBOTk7avXu3Ll26pGLFiunbb7+1djwAAFKE8PBwubm5md/b29vL0dGRAUoAkACv/FCl/9q1a5ccHR0TqzsAAJDMHDp0SNOnT5eNjY1sbW0VERGhHDlyaOzYsWrTpo0aNmxo7YgAAKQIM2fOlIuLi/l9dHS05syZY/FgQ+7MAIDnS3BB9L8XMyaTSTdu3NC+ffs0ePDgRAsGAACSFzs7O9nYPL35xNvbW5cvX1a+fPnk7u6uK1euWDkdAAApQ9asWTVjxgyLNl9fX82bN8/83mAwUBAFgBdIcEHU3d3d4r2NjY3eeecdffnll6pevXqiBQMAAMlLkSJFtHfvXuXOnVsVK1bUkCFDdPfuXc2bN08FChSwdjwAAFKEixcvWjsCACR7CZpDNCYmRu3atdP48eM1e/ZszZ49Wz/99JO+/vpriqEAAKRyo0aNUsaMGSVJI0eOlKenpz7++GPduXNH06dPT3B/kydPlr+/vxwdHVWyZEn9/fff8dpu0aJFMhgMql+/foL3CQBAasV5F0BqkqCCqK2trapXr67g4OA3FAcAACRXxYsXV+XKlSU9vWV+7dq1Cg0N1f79+1W4cOEE9bV48WL16dNHQ4cO1YEDBxQYGKigoCDdvn37hdtdvHhRffv2Vfny5V/1MAAASLIWLVoU73WvXLminTt3xmtdzrsAUpsEP2W+QIECOn/+/JvIAgAAUqADBw7o/fffT9A248ePV8eOHdWuXTsFBARo2rRpcnZ21qxZs567TUxMjFq2bKnhw4crR44crxsbAIAkZ+rUqcqXL5/Gjh2rkydPxloeEhKiNWvWqEWLFipatKju3bsXr3457wJIbRJcEB0xYoT69u2r1atX68aNGwoNDbV4AQCA1GfdunXq27evPv/8c/MfTk+dOqX69evr3XffldFojHdfkZGR2r9/v6pWrWpus7GxUdWqVbVr167nbvfll1/K29tbH3300Uv3ERERwe8wAIBkZ9u2bRozZow2bNigAgUKyM3NTblz51bBggWVJUsWpU+fXu3bt1fWrFl17Ngx1a1b96V9ct4FkBrF+6FKX375pT799FPVqlVLklS3bl0ZDAbzcpPJJIPBoJiYmMRPCQAAkqyffvpJHTt2VLp06fTgwQPNnDlT48ePV48ePdS0aVMdO3ZM+fLli3d/d+/eVUxMjHx8fCzafXx8dOrUqTi32bFjh3766ScdOnQoXvsYPXq0hg8fHu9MAAAkFXXr1lXdunV19+5d7dixQ5cuXdLjx4+VIUMGFSlSREWKFJGNTfzHPnHeBZAaxbsgOnz4cHXp0kVbtmx5k3kAAEAyM3HiRI0ZM0b9+vXTsmXL9MEHH2jKlCk6evSosmTJ8sb3//DhQ3344YeaMWOGMmTIEK9tBg4cqD59+pjfh4aGys/P701FBAAg0WXIkMEqDzLivAsgJYh3QdRkMkmSKlas+MbCAACA5OfcuXP64IMPJEkNGzZUmjRp9M0337xyMTRDhgyytbXVrVu3LNpv3bolX1/fOPd/8eJF1alTx9z27Bb9NGnS6PTp08qZM6fFNg4ODnJwcHilfAAApCScdwGkRgmaQ/Tft8gDAABI0uPHj+Xs7Czp6e8KDg4Oypgx4yv3Z29vr2LFimnTpk3mNqPRqE2bNql06dKx1s+bN6+OHj2qQ4cOmV9169ZV5cqVdejQIUagAADwApx3AaRG8R4hKkl58uR5aVH0/v37rxUIAAAkPzNnzpSLi4skKTo6WnPmzIl1G13Pnj3j3V+fPn3Upk0bFS9eXCVKlNCECRP06NEjtWvXTpLUunVrZc6cWaNHj5ajo6MKFChgsb2Hh4ckxWoHAACxcd4FkNokqCA6fPhwubu7v6ksAAAgGcqaNatmzJhhfu/r66t58+ZZrGMwGBJUEG3atKnu3LmjIUOG6ObNmypcuLDWrl1rfuDD5cuXE/TACAAA8HycdwGkNgbTs8lBX8LGxkY3b96Ut7f3m86E/y80NFTu7u66dS9Ebm5u1o6DJOjbrWetHQFJ0JNHDzWyflGFhPCzA4ivZ+fcG3fuqdS3uyRJJ74MkrN9gv52DCAVevbzg/MuEH/8fwMgvsIjoxUwZJ2kp7+fRz8JT5SfH/H+LZ/5QwEAAAAASBpiYmI0Z84cbdq0Sbdv3zY/2OiZzZs3WykZACR9CX7KPAAAAAAAsK5evXppzpw5ql27tgoUKMAgJgBIgHgXRP/71yYAAAAAAGAdixYt0i+//KJatWpZOwoAJDvMigwAAAAAQDJjb2+vXLlyWTsGACRLFEQBAAAAAEhmPv30U02cOJHp7QDgFfDoVAAAkGjOnTun2bNn69y5c5o4caK8vb31xx9/KGvWrMqfP7+14wEAkGLs2LFDW7Zs0R9//KH8+fPLzs7OYvny5cutlAwAkj5GiAIAgESxbds2FSxYUHv27NHy5csVFhYmSTp8+LCGDh1q5XQAAKQsHh4eatCggSpWrKgMGTLI3d3d4gUAeD5GiAIAgEQxYMAAjRgxQn369JGrq6u5/b333tOkSZOsmAwAgJRn9uzZ1o4AAMkWBVEAAJAojh49qoULF8Zq9/b21t27d62QCACAlO/OnTs6ffq0JOmdd96Rl5eXlRMBQNLHLfMAACBReHh46MaNG7HaDx48qMyZM1shEQAAKdejR4/Uvn17ZcyYURUqVFCFChWUKVMmffTRRwoPD7d2PABI0iiIAgCARNGsWTP1799fN2/elMFgkNFo1M6dO9W3b1+1bt3a2vEAAEhR+vTpo23btmnVqlUKDg5WcHCwfvvtN23btk2ffvqpteMBQJLGLfMAACBRjBo1St26dZOfn59iYmIUEBCgmJgYtWjRQoMGDbJ2PAAAUpRly5Zp6dKlqlSpkrmtVq1acnJyUpMmTTR16lTrhQOAJI6CKAAASBT29vaaMWOGBg8erGPHjiksLExFihRR7ty5rR0NAIAUJzw8XD4+PrHavb29uWUeAF6CgigAAEgUO3bsULly5ZQ1a1ZlzZrV2nEAAEjRSpcuraFDh2ru3LlydHSUJD1+/FjDhw9X6dKlrZwOAJI2CqIAACBRvPfee8qcObOaN2+uVq1aKSAgwNqRAABIsSZOnKigoCBlyZJFgYGBkqTDhw/L0dFR69ats3I6AEjaeKgSAABIFNevX9enn36qbdu2qUCBAipcuLC++eYbXb161drRAABIcQoUKKAzZ85o9OjRKly4sAoXLqyvv/5aZ86cUf78+a0dDwCSNEaIAgCARJEhQwZ1795d3bt314ULF7Rw4UL9/PPPGjhwoCpUqKDNmzdbOyIAACmKs7OzOnbsaO0YAJDsUBAFAACJLnv27BowYIACAwM1ePBgbdu2zdqRAABI9lauXKmaNWvKzs5OK1eufOG6devWfUupACD5oSAKAAAS1c6dO7VgwQItXbpUT548Ub169TR69GhrxwIAINmrX7++bt68KW9vb9WvX/+56xkMBsXExLy9YACQzFAQBQAAiWLgwIFatGiRrl+/rmrVqmnixImqV6+enJ2drR0NAIAUwWg0xvk1ACBhKIgCAIBE8eeff6pfv35q0qSJMmTIYO04AACkOsHBwfLw8LB2DABI8njKPAAASBQ7d+5U165dKYYCAPAWjBkzRosXLza//+CDD5QuXTplzpxZhw8ftmIyAEj6GCEKAABeGQ93AADAOqZNm6YFCxZIkjZs2KCNGzdq7dq1+uWXX9SvXz+tX7/eygkBIOmiIAoAAF4ZD3cAAMA6bt68KT8/P0nS6tWr1aRJE1WvXl3+/v4qWbKkldMBQNLGLfMAAOCVGY1GeXt7m79+3otiKAAAicvT01NXrlyRJK1du1ZVq1aVJJlMJs67APASFEQBAECimDt3riIiImK1R0ZGau7cuVZIBABAytWwYUO1aNFC1apV071791SzZk1J0sGDB5UrVy4rpwOApI2CKAAASBTt2rVTSEhIrPaHDx+qXbt2VkgEAEDK9d1336l79+4KCAjQhg0b5OLiIkm6ceOGunbtauV0AJC0MYcoAABIFCaTSQaDIVb71atX5e7uboVEAACkXHZ2durbt2+s9t69e1shDQC8GU52tjrxZZD564dPEqdfCqIAAOC1FClSRAaDQQaDQVWqVFGaNP/360VMTIwuXLigGjVqWDEhAAApw8qVK1WzZk3Z2dlp5cqVL1y3bt26bykVALw5BoNBzvaJX75MlQXROXPm6JNPPlFwcLC1oyCeZvyyTT/M36Tb90JVIHdmjen3gYrl97d2LLxF+/86rAO7jir4QagkycsnncpVK6lcebNLktYs3agLZ64oLDRM9g72ypwto96rXU4ZvNNZMzaQKjx7uvyhQ4cUFBRkvmVPkuzt7eXv769GjRpZKR0AAClH/fr1dfPmTXl7e5vPv3ExGAw8WAkAXiBVFkSRvCxfv1+DJqzQ+AFNVayAv6b9b4sa9ZisvUuHyCudq7Xj4S1x9XBV5VpllS6Dh0ySjuw7oSVzVqnDJy3l5Ztevll8VKBoXrl5uOpxeIS2b9it/81YoW4D28nGhumSgTdp6NChkiR/f381bdpUjo6OVk4EAEDKZDQa4/waAJAwVAmQ5E1ZuFmt65dRy7qllTdHRo0f2EzOjvaav3KXtaPhLcoTkEO58mVXOi9PpffyVOWaZWVvb6drl29IkoqWKqisObLII527MmbxVsWg0goNfqiQ+6FWTg6kHm3atKEYCgAAACDJs2pBtFKlSurZs6c+++wzpUuXTr6+vho2bJh5+eXLl1WvXj25uLjIzc1NTZo00a1bt+LV9+HDh1W5cmW5urrKzc1NxYoV0759+yzWWbdunfLlyycXFxfVqFFDN27cMC8zGo368ssvlSVLFjk4OKhw4cJau3atxfZXrlxRkyZN5OHhoXTp0qlevXq6ePGiefnWrVtVokQJpU2bVh4eHipbtqwuXbqU8A8qFYuMitahU1dUqcQ75jYbGxtVLPGO9h69YMVksCaj0ajjh04rKjJambNljLU8MjJKR/adkEc6N7l5MIoYeJPSpUunu3fvSpI8PT2VLl26574AAEDi6dmzp77//vtY7ZMmTdInn3zy9gMBQDJi9Vvmf/75Z/Xp00d79uzRrl271LZtW5UtW1ZVqlQxF0O3bdum6OhodevWTU2bNtXWrVtf2m/Lli1VpEgRTZ06Vba2tjp06JDs7OzMy8PDw/Xtt99q3rx5srGxUatWrdS3b18tWLBAkjRx4kSNGzdO06dPV5EiRTRr1izVrVtXx48fV+7cuRUVFaWgoCCVLl1a27dvV5o0aTRixAjVqFFDR44ckY2NjerXr6+OHTvqf//7nyIjI/X333/H+fTdZyIiIhQREWF+HxrKyLZ7wWGKiTHGujXeK52bzlyMX3EcKcftG3c1Z9JiRUdHy97eTo3bvC8vn/Tm5fv+OqzNv+9QVGSU0nt5qkXHhrJNY2vFxEDK991338nV1dX89YvOcwAAIPEsW7YszgcrlSlTRl9//bUmTJjw9kMBQDJh9YJooUKFzHOP5c6dW5MmTdKmTZskSUePHtWFCxfk5+cnSZo7d67y58+vvXv36t13331hv5cvX1a/fv2UN29ec9//FhUVpWnTpilnzpySpO7du+vLL780L//222/Vv39/NWvWTJI0ZswYbdmyRRMmTNDkyZO1ePFiGY1GzZw503zxN3v2bHl4eGjr1q0qXry4QkJC9P7775v3kS9fvhdmHj16tIYPH/7yDw1IpdJ7eapD75aKeBKhU0fOaNXi9Wr1cWNzUbRAkbzKkTurwh4+0u5tB7R8/hq16dZEaeys/qMOSLHatGlj/rpt27bWCwIAQCpz7949ubu7x2p3c3Mz370BAIib1ecQLVSokMX7jBkz6vbt2zp58qT8/PzMxVBJCggIkIeHh06ePPnSfvv06aMOHTqoatWq+vrrr3Xu3DmL5c7OzuZC5b/3Kz0dmXn9+nWVLVvWYpuyZcua93348GGdPXtWrq6ucnFxkYuLi9KlS6cnT57o3LlzSpcundq2baugoCDVqVNHEydOtLglPy4DBw5USEiI+XXlypWXHmdKl97DRba2Nrpz/6FF+537ofJO72alVLAW2zS2SpfBQxmz+KhyrXLyzphBe7cfNC93dHJQOi9PZc2RRY0+rK17t+/r9LGzVkwMpC4HDhzQ0aNHze9/++031a9fX59//rkiIyOtmAwAgJQnV65csaZ1k6Q//vhDOXLksEIiAEg+rF4Q/fdt7JJkMBgS5Wl5w4YN0/Hjx1W7dm1t3rxZAQEBWrFixQv3azKZ4t1/WFiYihUrpkOHDlm8/vnnH7Vo0ULS0xGju3btUpkyZbR48WLlyZNHu3fvfm6fDg4OcnNzs3ildvZ2aVQ4r5+27T1tbjMajfpz7z96t2B2KyZDUmAymRQTHRP3MplkkhT9nOUAEl/nzp31zz//SJLOnz+vpk2bytnZWUuWLNFnn31m5XQAAKQsffr00WeffaahQ4dq27Zt2rZtm4YMGaIBAwaod+/e1o4HAElakr2PNF++fLpy5YquXLliHiV64sQJBQcHKyAgIF595MmTR3ny5FHv3r3VvHlzzZ49Ww0aNHjpdm5ubsqUKZN27typihUrmtt37typEiVKSJKKFi2qxYsXy9vb+4WFyyJFiqhIkSIaOHCgSpcurYULF6pUqVLxyo+nurZ4T12Hz1ORfFlVNL+/pv5vix49jlDLOnyOqcmWNTuUM6+/3DxcFRkRpeMHT+nS+atq3qGBHtwL0YnDp5UjTzY5p3XSw5Aw/bVln+zs0ihXPgrnwNvyzz//qHDhwpKkJUuWqGLFilq4cKF27typZs2aMZcZAACJqH379oqIiNDIkSP11VdfSZL8/f01depUtW7d2srpACBpS7IF0apVq6pgwYJq2bKlJkyYoOjoaHXt2lUVK1ZU8eLFX7jt48eP1a9fPzVu3FjZs2fX1atXtXfvXjVq1Cje++/Xr5+GDh2qnDlzqnDhwpo9e7YOHTpkfuhSy5Yt9c0336hevXrmp9FfunRJy5cv12effaaoqCj9+OOPqlu3rjJlyqTTp0/rzJkznJheQcPqxXQ3OEyjpv+u2/ceqmCezFr6fTdumU9lHoU91spF6xQWGi4HR3t5Z8yg5h0aKEeebHoYEqYrF65r7/ZDevz4idK6OCtrjsxq062J0ro4Wzs6kGqYTCbzXR4bN27U+++/L0ny8/NjLjMAAN6Ajz/+WB9//LHu3LkjJycnubi4WDsSACQLSbYgajAY9Ntvv6lHjx6qUKGCbGxsVKNGDf3www8v3dbW1lb37t1T69atdevWLWXIkEENGzZM0AOLevbsqZCQEH366ae6ffu2AgICtHLlSvPDmZydnfXnn3+qf//+atiwoR4+fKjMmTOrSpUqcnNz0+PHj3Xq1Cn9/PPPunfvnjJmzKhu3bqpc+fOr/yZpGadmlRUpyYVX74iUqz3m1R77jJXdxc1+6j+2wsDIE7FixfXiBEjVLVqVW3btk1Tp06VJF24cEE+Pj5WTgcAQMoTHR2trVu36ty5c+ap265fvy43NzeKowDwAgZTQibOxFsVGhoqd3d33boXwnyiiNO3W3lgEGJ78uihRtYvqpAQfnbg7Tpy5Ihatmypy5cvq0+fPho6dKgkqUePHrp3754WLlxo5YTP9+yce+POPZX6dpck6cSXQXK2T7J/OwaQRDz7+cF5F2/bpUuXVKNGDV2+fFkRERH6559/lCNHDvXq1UsRERGaNm2atSM+F//fAHhVifXzg9/yAQBAoihUqJDFU+af+eabb2Rra2uFRAAApFy9evVS8eLFdfjwYaVPn97c3qBBA3Xs2NGKyQAg6bP6U+ZfVf78+eXi4hLn69k8nwAA4O3bv3+/5s+fr/nz5+vAgQNydHSUnZ1dgvuZPHmy/P395ejoqJIlS+rvv/9+7rozZsxQ+fLl5enpKU9PT1WtWvWF6wMAkNxt375dgwYNkr29vUW7v7+/rl27luD+OO8CSE2S7QjRNWvWKCoqKs5lzFMGAMDbd/v2bTVt2lTbtm2Th4eHJCk4OFiVK1fWokWL5OXlFe++Fi9erD59+mjatGkqWbKkJkyYoKCgIJ0+fVre3t6x1t+6dauaN2+uMmXKyNHRUWPGjFH16tV1/PhxZc6cObEOEQCAJMNoNComJiZW+9WrV+Xq6pqgvjjvAkhtmEM0CWMOUbwMc4giLswhCmtp2rSpzp8/r7lz5ypfvnySpBMnTqhNmzbKlSuX/ve//8W7r5IlS+rdd9/VpEmTJD296PPz81OPHj00YMCAl24fExMjT09PTZo0Sa1bt37p+swhCuBVMRcirKVp06Zyd3fXjz/+KFdXVx05ckReXl6qV6+esmbNqtmzZ8e7L2udd/n/BkBCMYcoAABIUtauXauNGzeai6GSFBAQoMmTJ6t69erx7icyMlL79+/XwIEDzW02NjaqWrWqdu3aFa8+wsPDFRUVpXTp0sW5PCIiQhEREeb3oaGh8c4HAEBS8O2336pGjRoKCAjQkydP1KJFC505c0YZMmRI0B8hOe8CSI2S7RyiAAAgaTEajXHOFWpnZyej0Rjvfu7evauYmJhYU+D4+Pjo5s2b8eqjf//+ypQpk6pWrRrn8tGjR8vd3d388vPzi3c+AACSAj8/Px0+fFhffPGFevfurSJFiujrr7/WwYMH47zN/Xk47wJIjSiIAgCARPHee++pV69eun79urnt2rVr6t27t6pUqfLWcnz99ddatGiRVqxYIUdHxzjXGThwoEJCQsyvK1euvLV8AAC8rqioKOXMmVNnzpxRy5YtNXbsWE2ZMkUdOnSQk5PTW83CeRdAcsQt8wAAIFFMmjRJdevWlb+/v3nkx5UrV1SgQAHNnz8/3v1kyJBBtra2unXrlkX7rVu35Ovr+8Jtv/32W3399dfauHGjChUq9Nz1HBwc5ODgEO9MAAAkJXZ2dnry5Emi9MV5F0BqxAhRAACQKPz8/HTgwAGtWbNGn3zyiT755BOtWbNGBw4cUJYsWeLdj729vYoVK6ZNmzaZ24xGozZt2qTSpUs/d7uxY8fqq6++0tq1a1W8ePHXOhYAAJK6bt26acyYMYqOjn6tfjjvAkiNGCEKAABe2+LFi7Vy5UpFRkaqSpUq6tGjx2v116dPH7Vp00bFixdXiRIlNGHCBD169Ejt2rWTJLVu3VqZM2fW6NGjJUljxozRkCFDtHDhQvn7+5vnPHNxcZGLi8vrHRwAAEnQ3r17tWnTJq1fv14FCxZU2rRpLZYvX7483n1x3gWQ2lAQBQAAr2Xq1Knq1q2bcufOLScnJy1fvlznzp3TN99888p9Nm3aVHfu3NGQIUN08+ZNFS5cWGvXrjU/8OHy5cuysfm/G12mTp2qyMhINW7c2KKfoUOHatiwYa+cAwCApMrDw0ONGjVKlL447wJIbQwmk8lk7RCIW2hoqNzd3XXrXojc3NysHQdJ0Ldbz1o7ApKgJ48eamT9ogoJ4WcH3o78+fOrSZMmGjp0qCRp/vz56ty5sx49emTlZPH37Jx74849lfp2lyTpxJdBcrbnb8cAXuzZzw/Ou0D88f8NgFeVWD8/mEMUAAC8lvPnz6tNmzbm9y1atFB0dLRu3LhhxVQAAKRMRqNRY8aMUdmyZfXuu+9qwIABevz4sbVjAUCyQkEUAAC8loiICIt5y2xsbGRvb8/FGQAAb8DIkSP1+eefy8XFRZkzZ9bEiRPVrVs3a8cCgGSF+8AAAMBrGzx4sJydnc3vIyMjNXLkSLm7u5vbxo8fb41oAACkKHPnztWUKVPUuXNnSdLGjRtVu3ZtzZw502KeTwDA81EQBQAAr6VChQo6ffq0RVuZMmV0/vx583uDwfC2YwEAkCJdvnxZtWrVMr+vWrWqDAaDrl+/rixZslgxGQAkHxREAQDAa9m6dau1IwAAkGpER0fL0dHRos3Ozk5RUVFWSgQAyQ8FUQAAAAAAkgmTyaS2bdvKwcHB3PbkyRN16dLFYk7v5cuXWyMeACQLFEQBAAAAAEgm2rRpE6utVatWVkgCAMkXBVEAAAAAAJKJ2bNnWzsCACR7PIIOAAAAAAAAQKpBQRQAAAAAAABAqkFBFAAAJJrt27erVatWKl26tK5duyZJmjdvnnbs2GHlZAAAAADwFAVRAACQKJYtW6agoCA5OTnp4MGDioiIkCSFhIRo1KhRVk4HAAAAAE9REAUAAIlixIgRmjZtmmbMmCE7Oztze9myZXXgwAErJgMAAACA/0NBFAAAJIrTp0+rQoUKsdrd3d0VHBz89gMBAAAAQBwoiAIAgETh6+urs2fPxmrfsWOHcuTIYYVEAAAAABAbBVEAAJAoOnbsqF69emnPnj0yGAy6fv26FixYoL59++rjjz+2djwAAAAAkCSlsXYAAACQMgwYMEBGo1FVqlRReHi4KlSoIAcHB/Xt21c9evSwdjz8S0xMjKKioqwdA0gWbG1tlSZNGhkMBmtHAVIVk8mk6OhoxcTEWDsKYBWcf94sCqIAACBRGAwGffHFF+rXr5/Onj2rsLAwBQQEyMXFxdrR8C9hYWG6evWqTCaTtaMAyYazs7MyZswoe3t7a0cBUoXIyEjduHFD4eHh1o4CWBXnnzeHgigAAEhU9vb2CggIsHYMxCEmJkZXr16Vs7OzvLy8GHEAvITJZFJkZKTu3LmjCxcuKHfu3LKxYdYx4E0yGo26cOGCbG1tlSlTJtnb23O+QqrD+efNoyAKAAASReXKlV94wbJ58+a3mAZxiYqKkslkkpeXl5ycnKwdB0gWnJycZGdnp0uXLikyMlKOjo7WjgSkaJGRkTIajfLz85Ozs7O14wBWw/nnzaIgCgAAEkXhwoUt3kdFRenQoUM6duyY2rRpY51QiBMjbYCEYVQO8Pbx/x3A/wdvEgVRAACQKL777rs424cNG6awsLC3nAYAAAAA4kapGQAAvFGtWrXSrFmzrB0DAAAAACRREAUAAG/Yrl27mPMIAAAAQJJBQRQAACSKhg0bWrwaNGigUqVKqV27durcubO14wEpwqZNm5QvXz7FxMRYO0qKEBkZKX9/f+3bt8/aUQAgReF89XLTpk1TnTp1rB0j1aIgCgAAEoW7u7vFK126dKpUqZLWrFmjoUOHWjsekOjmzJkjDw+PWO1t27aVwWCweNWoUcNinfv376tly5Zyc3OTh4eHPvroo3jNtfvZZ59p0KBBsrW1tWh//Pix0qVLpwwZMigiIiLWdgaDQb/++mucWevXr2/RdvbsWbVr105ZsmSRg4ODsmfPrubNm7/RouGff/6pOnXqKFOmTM/NGpetW7eqaNGicnBwUK5cuTRnzpxY60yePFn+/v5ydHRUyZIl9ffff5uX2dvbq2/fvurfv38iHQkAJD3J6Xzl7+9vzpI2bVoVLVpUS5YsSdgBJ1DPnj1VrFgxOTg4xHpI6PM8efJE3bp1U/r06eXi4qJGjRrp1q1bFutcvnxZtWvXlrOzs7y9vdWvXz9FR0ebl7dv314HDhzQ9u3bE/NwEE88VAkAALy2mJgYtWvXTgULFpSnp6e14yCeTCaTHkdZZ+SGk53tKz/tPjIyUvb29omcKHHVqFFDs2fPNr93cHCwWN6yZUvduHFDGzZsUFRUlNq1a6dOnTpp4cKFz+1zx44dOnfunBo1ahRr2bJly5Q/f36ZTCb9+uuvatq06Svl3rdvn6pUqaICBQpo+vTpyps3rx4+fKjffvtNn376qbZt2/ZK/b7Mo0ePFBgYqPbt26thw4bx2ubChQuqXbu2unTpogULFmjTpk3q0KGDMmbMqKCgIEnS4sWL1adPH02bNk0lS5bUhAkTFBQUpNOnT8vb21vS03+LTz/9VMePH1f+/PnfyPEBeD2cr96cpHi++vLLL9WxY0eFhoZq3Lhxatq0qTJnzqwyZcq8xpG+WPv27bVnzx4dOXIkXuv37t1bv//+u5YsWSJ3d3d1795dDRs21M6dOyU9/d24du3a8vX11V9//aUbN26odevWsrOz06hRoyQ9/aNcixYt9P3336t8+fJv7NgQNwqiAADgtdna2qp69eo6efIkBdFk5HFUjAKGrLPKvk98GSRn+/j9KlqpUiUVKFBAadKk0fz581WwYEFt2bJFx44dU79+/bR9+3alTZtW1atX13fffacMGTJIkpYuXarhw4fr7NmzcnZ2VpEiRfTbb78pbdq0atu2rYKDg1WuXDmNGzdOkZGRatasmSZMmCA7OztJUkREhL744gv973//U3BwsAoUKKAxY8aoUqVK2rp1q9q1aydJ5gvloUOHatiwYZKeXlD6+vrGeTwnT57U2rVrtXfvXhUvXlyS9MMPP6hWrVr69ttvlSlTpji3W7RokapVqxbnnLw//fSTWrVqJZPJpJ9++umVCqImk0lt27ZV7ty5tX37dtnY/N/NZIULF1avXr0S3Gd81axZUzVr1kzQNtOmTVP27Nk1btw4SVK+fPm0Y8cOfffdd+aC6Pjx49WxY0fzv9W0adP0+++/a9asWRowYIAkydPTU2XLltWiRYv01VdfJeJRAUgsnK9S1/nK1dVVvr6+8vX11eTJkzV//nytWrXqjRVEv//+e0nSnTt34lUQDQkJ0U8//aSFCxfqvffekyTNnj1b+fLl0+7du1WqVCmtX79eJ06c0MaNG+Xj46PChQvrq6++Uv/+/TVs2DBzobxOnTqqVq2aHj9+LCcnpzdyfIgbt8wDAIBEUaBAAZ0/f97aMZBC/fzzz7K3t9fOnTs1bdo0BQcH67333lORIkX+X3v3HRbF1f0B/Lss7NJBVJoiFgTUICqKgjEkEV1EsXciGEtiQY3E3jVBjbEbjS2C+pKgvlFjRQlCRCRGUWwgKKKYCBpFQUSknd8f/piXpe4infN5nn0edubOzLnD7pyZu3fm4sqVKwgMDMSTJ08wfPhwAEBSUhJGjRqFcePGISYmBqGhoRg8eDCISFhnSEgI4uPjERISgr1798LPz0/ulmsvLy9EREQgICAAN27cwLBhw+Di4oK7d+/C0dERGzduhK6uLpKSkpCUlIRZs2YJy4aGhsLQ0BBWVlaYPHkynj9/LsyLiIiAvr6+cHEJAM7OzlBRUcGlS5dK3AdhYWFyy+SLj49HREQEhg8fjuHDhyMsLAwPHz5Ueh9HRUXh9u3b+Prrr+UaQ/MVd7tlvpUrV0JbW7vUV2JiotIxlSYiIgLOzs5y02QyGSIiIgC865kVGRkpV0ZFRQXOzs5CmXz29vZ8yyJjrEJwvqrYfKWqqgo1NTVkZWWVWKas/DNp0qRSt6GsyMhIZGdny+UXa2trNGvWTMgvERERsLGxgZGRkVBGJpMhLS0Nt2/fFqZ17twZOTk5pe5PVjm4hyhjjDHGKsS3336LWbNm4ZtvvoGdnR20tLTk5uvq6lZTZKwkGmpiRK+QVdu2ldG6dWusWbNGeP/tt9+iY8eOwm1nALBnzx6YmZkhLi4O6enpyMnJweDBg2Fubg4AsLGxkVtngwYN8MMPP0AsFsPa2hp9+/ZFcHAwJk6ciMTERPj6+iIxMVHoATNr1iwEBgbC19cXK1euhJ6eHkQiUZGeNS4uLhg8eDBatGiB+Ph4LFiwAH369EFERATEYjGSk5OF27XzqaqqwsDAAMnJySXug4cPHxbbG2fPnj3o06eP0DtbJpPB19dX6P2jqLt37wJ4d1GnrEmTJgkX9yUpqSdReSUnJ8tdaAKAkZER0tLS8ObNG7x48QK5ubnFlrlz506R2MrTiMwYqxqcr+pnvsrKysK6deuQmpoq9MQsTlRUVInzgIo/B01OToZEIinyQ6GRkZGwX0rKUfnz8mlqakJPT49zUDXgBlHGGGOMvZcVK1bg66+/hqurKwCgf//+cs/aIiKIRCIeZbQGEolECt8GWN3s7Ozk3l+/fh0hISHQ1tYuUjY+Ph69e/dGz549YWNjA5lMht69e2Po0KFyj3Ro166d3GAPJiYmuHnzJgDg5s2byM3NhaWlpdy63759i4YNG5Ya68iRI4W/bWxs0L59e7Rq1QqhoaHo2bOn4pUu5M2bN0VuP8zNzcXevXuxadMmYdpnn32GWbNmYcmSJcX29CxJwd5IyjIwMICBgUG5l69uGhoayMjIqO4wGGMl4HxVv/LV3LlzsWjRImRmZkJbWxurV69G3759S9yehYVFuWOtCTgHVY/acURhjDHGWI21fPlyTJo0CSEhIdUdCqvDCvc4Tk9Ph5ubG7777rsiZU1MTCAWixEUFISLFy/i7Nmz2LJlCxYuXIhLly6hRYsWACA8ey2fSCRCXl6esH6xWIzIyMgiI+QWd1FbmpYtW6JRo0a4d+8eevbsCWNjYzx9+lSuTE5ODlJSUkp8jhsANGrUCC9evJCbdubMGfzzzz9FnsGWm5uL4OBg9OrVC8C757GlpqYWWefLly+hp6cHAMLF9J07d9CxY0el6rhy5Uq53k/FiY6ORrNmzZRab2mMjY2LjOj75MkT6OrqQkNDA2KxGGKxuNgyhfdzSkoKGjduXGGxMcbqL85X75evAGD27NkYO3YstLW1YWRkVOagVmXV87PPPsP27dtLLaMMY2NjZGVl4eXLl3K9RAvmF2NjY/z1119yy+XnI85BNQM3iDLGGGPsveT3KnNycqrmSFh90qlTJ/z6669o3rw5VFWLP6UViUTo3r07unfvjiVLlsDc3BxHjhyBt7d3mevv2LEjcnNz8fTp0xJHfpVIJAr1fP7777/x/PlzmJiYAAAcHBzw8uVLREZGCj2Jzp07h7y8PHTt2rXUmKKjo+Wm/fTTTxg5ciQWLlwoN93Hxwc//fSTcIFpZWWFyMhIeHp6CmVyc3Nx/fp1TJgwAcC7gZPatm0rjOhbuHdp4Qu/gqrjlnkHBwecOnVKblpQUBAcHBwAvPv/2NnZITg4GAMHDgQA5OXlITg4GF5eXnLL3bp1S+lGYMYYUwTnq3cUzVfAuwZVZXp9VvUt83Z2dlBTU0NwcDCGDBkCAIiNjUViYqKQgxwcHODj44OnT58Kjx0ICgqCrq4u2rZtK6wrPj4emZmZnIOqATeIMsYYY+y9lfXLPWMVberUqdi1axdGjRqFOXPmwMDAAPfu3UNAQAB2796NK1euIDg4GL1794ahoSEuXbqEf//9F23atFFo/ZaWlnB3d4eHhwfWrVuHjh074t9//0VwcDDat2+Pvn37onnz5khPT0dwcDBsbW2hqamJvLw8LF++HEOGDIGxsTHi4+MxZ84cWFhYCCOft2nTBi4uLpg4cSK2b9+O7OxseHl5YeTIkaU2GspkMuzdu1d4/++//+L48eM4duwYPvjgA7myHh4eGDRoEFJSUmBgYABvb2+MHz8e1tbW6NWrF16/fo0tW7bgxYsXQoOoSCSCr68vnJ2d0aNHDyxcuBDW1tZIT0/H8ePHcfbsWfzxxx/Fxva+t8ynp6fj3r17wvuEhARERUXBwMBA6FU6f/58/PPPP9i3bx+Ad42wP/zwA+bMmYNx48bh3LlzOHjwIE6ePCmsx9vbG56enujcuTPs7e2xceNGvH79WhhxOV9YWBiPMM8YqxScr5TLV+XxvrfM37t3D+np6UhOTsabN2+EBta2bdtCIpHgn3/+Qc+ePbFv3z7Y29tDT08P48ePh7e3NwwMDKCrq4tp06bBwcEB3bp1AwD07t0bbdu2xZgxY7BmzRokJydj0aJFmDp1KqRSqbDtsLAwtGzZEq1atXqvOjDl8SjzjDHGGHtvlpaWQoNISS/GKpKpqSnCw8ORm5uL3r17w8bGBl999RX09fWhoqICXV1dnD9/Hq6urrC0tMSiRYuwbt069OnTR+Ft+Pr6wsPDA19//TWsrKwwcOBAXL58WWigc3R0xKRJkzBixAg0btwYa9asgVgsxo0bN9C/f39YWlpi/PjxsLOzQ1hYmNwFkL+/P6ytrdGzZ0+4urriww8/xM6dO0uNx93dHbdv30ZsbCwAYN++fdDS0ir2OW89e/aEhoYG/vOf/wAARo0ahd27d2PPnj2ws7ODi4sLkpOTcf78eblBH+zt7XHlyhVYWFhg4sSJaNOmDfr374/bt29j48aNCu87ZV25cgUdO3YUesh4e3ujY8eOWLJkiVAmKSlJbqT6Fi1a4OTJkwgKCoKtrS3WrVuH3bt3CxfyADBixAisXbsWS5YsQYcOHRAVFYXAwEC5OkdERCA1NRVDhw6ttPoxxuovzlfK5avqMGHCBHTs2BE7duxAXFyckI8eP34MAMjOzkZsbKzccz43bNiAfv36YciQIfjoo49gbGyMw4cPC/PFYjFOnDgBsVgMBwcHfPbZZ/Dw8MCKFSvktv3LL79g4sSJVVNRJkdE7/P0dFap0tLSoKenhyfPU3lkXlastaH3yi7E6p3M16/gM7ATUlP52MGqhoqKCjZu3Cg8h7AkBW/VrWnyc27Sv8/RbW0EACB6hazWDOCgqMzMTCQkJKBFixZFBjtgtcPs2bORlpaGHTt2VHcodcaIESNga2uLBQsWlFimtO9O/vGD8y5jiivte8O5qm7gfFW227dv49NPP0VcXFyJ59H8fSiqovJu3TrLZ4wxxli1GDlypPB8JMZY5Vm4cCG2bduGvLw8pUaQZ8XLysqCjY0NZs6cWd2hMMZYncL5qmxJSUnYt29fmZ0KWOXgBlHGGGOMvRd+fihjVUdfX7/UnoxMORKJBIsWLaruMBhjrM7hfFU2Z2fn6g6hXuNmesYYY4y9F376DmOMMcYYY6w24R6ijDHGGHsveXl51R0CUxI3YjOmHP7OMFb1+HvHGH8PKhP3EGWMMcYYqyfEYjGAd89NZIwpLn9kYTU1tWqOhLG6L/97VnBEb8bqK84/lYd7iDLGGGOM1ROqqqrQ1NTEv//+CzU1NR7kgLEyEBEyMjLw9OlT6OvrCz8qMMYqj1gshr6+Pp4+fQoA0NTU5OeVs3qH80/l4wZRxhhjjNVIW7duxffff4/k5GTY2tpiy5YtsLe3L7H8oUOHsHjxYjx48ACtW7fGd999B1dX1yqMuOYTiUQwMTFBQkICHj58WN3hMFZr6Ovrw9jYuLrDYKxS1aS8m/99y28UZay+4vxTebhBlDHGGGM1zoEDB+Dt7Y3t27eja9eu2LhxI2QyGWJjY2FoaFik/MWLFzFq1CisWrUK/fr1w88//4yBAwfi6tWr+OCDD6qhBjWXRCJB69at+bZ5xhSkpqbGPXNYnVfT8m7+D3iGhobIzs5+7/UxVhtx/qlcIuIntNZYaWlp0NPTw5PnqdDV1a3ucFgNtDb0XnWHwGqgzNev4DOwE1JT+djBaq+uXbuiS5cu+OGHHwC8G7jJzMwM06ZNw7x584qUHzFiBF6/fo0TJ04I07p164YOHTpg+/btZW4vP+cm/fsc3dZGAACiV8igKeHfjhljpcs/fnDeZbVZdeVd/t4wxpRVUccPfnAUY4wxxmqUrKwsREZGwtnZWZimoqICZ2dnREREFLtMRESEXHkAkMlkJZZ/+/Yt0tLS5F6MMcZYfcR5lzFWH3GDKGOMMcZqlGfPniE3NxdGRkZy042MjJCcnFzsMsnJyUqVX7VqFfT09ISXmZlZxQTPGGOM1TKcdxlj9RE3iDLGGGOs3pk/fz5SU1OF16NHjwAAGmpiRK+QIXqFDBpq/MwmxhhjrCKUlHcZY6y68IOxarD8x7u+4tsJWAkyX7+q7hBYDfQ2Ix3A/44hjNU2jRo1glgsxpMnT+SmP3nypMRRNo2NjZUqL5VKIZVKhfdCzn31Croi0bu/M8tdBcZYPZJ/6y/nXVZbVWfe5VvnGWPKqqi8yw2iNdirV+8auyxa8O0EjDHlvXr1Cnp6etUdBmNKk0gksLOzQ3BwMAYOHAjg3eAOwcHB8PLyKnYZBwcHBAcH46uvvhKmBQUFwcHBQaFt5udcvoWPMVZenHdZbcV5lzFWG71v3uUG0RrM1NQUjx49go6ODkT/31ulvkpLS4OZmRkePXrEoxCyIvjzIY+I8OrVK5iamlZ3KIyVm7e3Nzw9PdG5c2fY29tj48aNeP36NT7//HMAgIeHB5o0aYJVq1YBAGbMmAEnJyesW7cOffv2RUBAAK5cuYKdO3cqtL2COffVq1d17phSF4+TdbFOQN2sV12vU/5xg/Muq80471asun7cqyt1Aupmvep6nSoq73KDaA2moqKCpk2bVncYNYqurm6d+UKzisefj//hHiqsthsxYgT+/fdfLFmyBMnJyejQoQMCAwOFARwSExOhovK/R6E7Ojri559/xqJFi7BgwQK0bt0aR48exQcffKDQ9grm3PwfIeviMYXrVHvUxXrV5Tpx3mW1HefdysF1qj3qYr3qcp0qIu+KiB92w2qBtLQ06OnpITU1tc59odn7488HY6wi1cVjCtep9qiL9eI6McZKUxe/T1yn2qMu1ovrpBgeZZ4xxhhjjDHGGGOMMVZvcIMoqxWkUimWLl0qNzIhY/n488EYq0h18ZjCdao96mK9uE6MsdLUxe8T16n2qIv14jophm+ZZ4wxxhhjjDHGGGOM1RvcQ5QxxhhjjDHGGGOMMVZvcIMoY4wxxhhjjDHGGGOs3uAGUcYYY4wxxhhjjDHGWL3BDaKs2owdOxYDBw6s7jBYHeDn5wd9ff3qDoMxxhhjjDHGGGO1ADeIMsYYY6ze2bp1K5o3bw51dXV07doVf/31V6nlDx06BGtra6irq8PGxganTp2qokgVp0yddu3ahR49eqBBgwZo0KABnJ2dy9wH1UHZ/1O+gIAAiESiGvvDq7L1evnyJaZOnQoTExNIpVJYWlrWuM+gsnXauHEjrKysoKGhATMzM8ycOROZmZlVFG3Zzp8/Dzc3N5iamkIkEuHo0aNlLhMaGopOnTpBKpXCwsICfn5+lR4nY7UF513Ou9WlLuZcgPMuUAF5lxirJp6enjRgwIDqDoPVAb6+vqSnp1fdYTDGaomAgACSSCS0Z88eun37Nk2cOJH09fXpyZMnxZYPDw8nsVhMa9asoejoaFq0aBGpqanRzZs3qzjykilbp9GjR9PWrVvp2rVrFBMTQ2PHjiU9PT36+++/qzjykilbp3wJCQnUpEkT6tGjR408z1C2Xm/fvqXOnTuTq6srXbhwgRISEig0NJSioqKqOPKSKVsnf39/kkql5O/vTwkJCXTmzBkyMTGhmTNnVnHkJTt16hQtXLiQDh8+TADoyJEjpZa/f/8+aWpqkre3N0VHR9OWLVtILBZTYGBg1QTMWA3GeZfzbnWpizmXiPMuUcXkXW4QZZXu0KFD9MEHH5C6ujoZGBhQz549KT09XWgQ/f7778nY2JgMDAxoypQplJWVJSybkpJCY8aMIX19fdLQ0CAXFxeKi4uTW39YWBh9+OGHpK6uTk2bNqVp06ZRenq6MH/r1q1kYWFBUqmUDA0NaciQIVVW9/rGycmJpk2bRrNnz6YGDRqQkZERLV26VJj/8OFD6t+/P2lpaZGOjg4NGzaMkpOTFVp3VFQUffzxx6StrU06OjrUqVMnunz5MhH9r0E0MDCQrK2tSUtLi2QyGT1+/FhYPjc3l5YvX05NmjQhiURCtra2dPr0abltJCYm0rBhw0hPT48aNGhA/fv3p4SEBGF+SEgIdenShTQ1NUlPT48cHR3pwYMH5d9hjLFqYW9vT1OnThXe5+bmkqmpKa1atarY8sOHD6e+ffvKTevatSt9+eWXlRqnMpStU2E5OTmko6NDe/furawQlVaeOuXk5JCjoyPt3r27xv7wqmy9fvzxR2rZsqXc+VFNo2ydpk6dSp9++qncNG9vb+revXulxlleilyYzZkzh9q1ayc3bcSIESSTySoxMsZqB867RXHerRp1MecScd4lqpi8y7fMs0qVlJSEUaNGYdy4cYiJiUFoaCgGDx6Md59xICQkBPHx8QgJCcHevXvh5+cn18157NixuHLlCo4dO4aIiAgQEVxdXZGdnQ0AiI+Ph4uLC4YMGYIbN27gwIEDuHDhAry8vAAAV65cwfTp07FixQrExsYiMDAQH330UZXvh/pk79690NLSwqVLl7BmzRqsWLECQUFByMvLw4ABA5CSkoI//vgDQUFBuH//PkaMGKHQet3d3dG0aVNcvnwZkZGRmDdvHtTU1IT5GRkZWLt2Lfbv34/z588jMTERs2bNEuZv2rQJ69atw9q1a3Hjxg3IZDL0798fd+/eBQBkZ2dDJpNBR0cHYWFhCA8Ph7a2NlxcXJCVlYWcnBwMHDgQTk5OuHHjBiIiIvDFF19AJBJV7A5kjFWqrKwsREZGwtnZWZimoqICZ2dnREREFLtMRESEXHkAkMlkJZavauWpU2EZGRnIzs6GgYFBZYWplPLWacWKFTA0NMT48eOrIkylladex44dg4ODA6ZOnQojIyN88MEHWLlyJXJzc6sq7FKVp06Ojo6IjIwUbu+7f/8+Tp06BVdX1yqJuTLU9OMEY9WF827xOO9WvrqYcwHOu/kq4jihWtFBMVZQUlIScnJyMHjwYJibmwMAbGxshPkNGjTADz/8ALFYDGtra/Tt2xfBwcGYOHEi7t69i2PHjiE8PByOjo4AAH9/f5iZmeHo0aMYNmwYVq1aBXd3d3z11VcAgNatW2Pz5s1wcnLCjz/+iMTERGhpaaFfv37Q0dGBubk5OnbsWOX7oT5p3749li5dCuDd/+OHH35AcHAwAODmzZtISEiAmZkZAGDfvn1o164dLl++jC5dupS63sTERMyePRvW1tbCugvKzs7G9u3b0apVKwCAl5cXVqxYIcxfu3Yt5s6di5EjRwIAvvvuO4SEhGDjxo3YunUrDhw4gLy8POzevVto5PT19YW+vj5CQ0PRuXNnpKamol+/fsI22rRp8177ijFW9Z49e4bc3FwYGRnJTTcyMsKdO3eKXSY5ObnY8snJyZUWpzLKU6fC5s6dC1NT0yInltWlPHW6cOECfvrpJ0RFRVVBhOVTnnrdv38f586dg7u7O06dOoV79+5hypQpyM7OFvJtdSpPnUaPHo1nz57hww8/BBEhJycHkyZNwoIFC6oi5EpR0nEiLS0Nb968gYaGRjVFxlj14rxbPM67la8u5lyA826+isi73EOUVSpbW1v07NkTNjY2GDZsGHbt2oUXL14I89u1awexWCy8NzExwdOnTwEAMTExUFVVRdeuXYX5DRs2hJWVFWJiYgAA169fh5+fH7S1tYWXTCZDXl4eEhIS0KtXL5ibm6Nly5YYM2YM/P39kZGRUUW1r5/at28v9z7/fxoTEwMzMzOhMRQA2rZtC319feH/WRpvb29MmDABzs7OWL16NeLj4+Xma2pqCg2VBbcLAGlpaXj8+DG6d+8ut0z37t3lPkv37t2Djo6O8FkyMDBAZmYm4uPjYWBggLFjx0Imk8HNzQ2bNm1CUlKScjuHMcZqoNWrVyMgIABHjhyBurp6dYdTLq9evcKYMWOwa9cuNGrUqLrDqVB5eXkwNDTEzp07YWdnhxEjRmDhwoXYvn17dYdWbqGhoVi5ciW2bduGq1ev4vDhwzh58iS++eab6g6NMcYqHefdmqsu5lyA825JuIcoq1RisRhBQUG4ePEizp49iy1btmDhwoW4dOkSAMjd8gwAIpEIeXl5Cq8/PT0dX375JaZPn15kXrNmzSCRSHD16lWEhobi7NmzWLJkCZYtW4bLly9DX1//verGive+/9OSLFu2DKNHj8bJkydx+vRpLF26FAEBARg0aFCJ281/NIMi0tPTYWdnB39//yLzGjduDOBdj9Hp06cjMDAQBw4cwKJFixAUFIRu3bq9R80YY1WpUaNGEIvFePLkidz0J0+ewNjYuNhljI2NlSpf1cpTp3xr167F6tWr8fvvvxf5Qas6KVun+Ph4PHjwAG5ubsK0/NyjqqqK2NhYuR/Nqkt5/lcmJiZQU1OT+wG5TZs2SE5ORlZWFiQSSaXGXJby1Gnx4sUYM2YMJkyYAODd3UOvX7/GF198gYULF0JFpfb12SjpOKGrq8u9Q1m9xnlXHufdqlMXcy7AeTdfReTd2ldrVuuIRCJ0794dy5cvx7Vr1yCRSHDkyJEyl2vTpg1ycnKExlMAeP78OWJjY9G2bVsAQKdOnRAdHQ0LC4sir/yDlaqqKpydnbFmzRrcuHEDDx48wLlz5yqnsqxEbdq0waNHj/Do0SNhWnR0NF6+fCn8P8tiaWmJmTNn4uzZsxg8eDB8fX0VWk5XVxempqYIDw+Xmx4eHi73Wbp79y4MDQ2LfJb09PSEZTp27Ij58+fj4sWL+OCDD/Dzzz8rFANjrGaQSCSws7MTHuUBvDuBDw4OhoODQ7HLODg4yJUHgKCgoBLLV7Xy1AkA1qxZg2+++QaBgYHo3LlzVYSqMGXrZG1tjZs3byIqKkp49e/fH5988gmioqLk7k6oTuX5X3Xv3h337t2T+3ExLi4OJiYmNeLCrDx1ysjIKHLxlX/xqcyPmTVJTT9OMFZdOO/+D+fdqlUXcy7AeTdfhRwnlBrqiTEl/fnnn+Tj40OXL1+mhw8f0sGDB0kikdCpU6eKHYVuxowZ5OTkJLwfMGAAtW3blsLCwigqKopcXFzIwsJCGPXt+vXrpKGhQVOnTqVr165RXFwcHT16VBhx7fjx47Rp0ya6du0aPXjwgLZt20YqKip069atqtoF9YqTkxPNmDFDbtqAAQPI09OT8vLyqEOHDtSjRw+KjIykS5cukZ2dndz/uyQZGRk0depUCgkJoQcPHtCFCxeoVatWNGfOHCL63yjzBR05coQKHuI2bNhAurq6FBAQQHfu3KG5c+eSmpoaxcXFERHR69evqXXr1vTxxx/T+fPn6f79+xQSEkLTpk2jR48e0f3792nevHl08eJFevDgAZ05c4YaNmxI27Zte699xhiregEBASSVSsnPz4+io6Ppiy++IH19fUpOTiYiojFjxtC8efOE8uHh4aSqqkpr166lmJgYWrp0KampqdHNmzerqwpFKFun1atXk0Qiof/+97+UlJQkvF69elVdVShC2ToVVhNHuyVSvl6JiYmko6NDXl5eFBsbSydOnCBDQ0P69ttvq6sKRShbp6VLl5KOjg798ssvdP/+fTp79iy1atWKhg8fXl1VKOLVq1d07do1unbtGgGg9evX07Vr1+jhw4dERDRv3jwaM2aMUP7+/fukqalJs2fPppiYGNq6dSuJxWIKDAysriowVmNw3uW8W13qYs4l4rxLVDF5lxtEWaWKjo4mmUxGjRs3JqlUSpaWlrRlyxYiKv6AWbhBNCUlhcaMGUN6enqkoaFBMplMaMDK99dff1GvXr1IW1ubtLS0qH379uTj40NERGFhYeTk5EQNGjQgDQ0Nat++PR04cKBS61yfldYgSkT08OFD6t+/P2lpaZGOjg4NGzZMOGiX5u3btzRy5EgyMzMjiURCpqam5OXlRW/evCEixRpEc3NzadmyZdSkSRNSU1MjW1tbOn36tNwySUlJ5OHhQY0aNSKpVEotW7akiRMnUmpqKiUnJ9PAgQPJxMSEJBIJmZub05IlSyg3N1f5HcUYq3ZbtmyhZs2akUQiIXt7e/rzzz+FeU5OTsJxK9/BgwfJ0tKSJBIJtWvXjk6ePFnFEZdNmTqZm5sTgCKvpUuXVn3gpVD2/1RQTbwwy6dsvS5evEhdu3YVcpOPjw/l5ORUcdSlU6ZO2dnZtGzZMmrVqhWpq6uTmZkZTZkyhV68eFH1gZcgJCSk2O9Ifj08PT2L/KgbEhJCHTp0IIlEQi1btiRfX98qj5uxmorzLufd6lIXcy4R5938Zd4n74qIamn/WMYYY4wxxhhjjDHGGFMSP0OUMcYYY4wxxhhjjDFWb3CDKGOsRmjXrh20tbWLfRU38jtjjDHGGGOMMcZYefAt84yxGuHhw4fIzs4udp6RkRF0dHSqOCLGGGOMMcYYY4zVRdwgyhhjjDHGGGOMMcYYqzf4lnnGGGOMMcYYY4wxxli9wQ2ijDHGGGOMMcYYY4yxeoMbRBljjDHGGGOMMcYYY/UGN4gyxhhjjDHGGGOMMcbqDW4QZaySjB07FgMHDhTef/zxx/jqq6+qPI7Q0FCIRCK8fPmyxDIikQhHjx5VeJ3Lli1Dhw4d3iuuBw8eQCQSISoq6r3WwxhjtYmfnx/09fWrO4xyUyRfFM5/9cnixYvxxRdfVMm2FMnvANC8eXNs3LixUmNRdhsV9T1Q9vxFEdHR0WjatClev35doetljLGqVvAYqei1V2xsLIyNjfHq1avKDxCK5Y+KuPYsS3m2URE5qLLOmbp164Zff/21wtdb13CDKKtXxo4dC5FIBJFIBIlEAgsLC6xYsQI5OTmVvu3Dhw/jm2++Uaisohc5jDHGql7BXFLwde/eveoODX5+fkI8KioqaNq0KT7//HM8ffq0QtaflJSEPn36ACj54mrTpk3w8/OrkO2VZNmyZUI9xWIxzMzM8MUXXyAlJUWp9VTkhUhycjI2bdqEhQsXyq2/ss47HB0dkZSUBD09PQAlNzJevny5yhppawMfHx84OjpCU1Oz2P3Vtm1bdOvWDevXr6/64BhjdULBY7+amhpatGiBOXPmIDMzs7pDK9P8+fMxbdo06OjoAPjfdWn+y8jICEOGDMH9+/crZHuFc1RxjYyzZs1CcHBwhWyvLjh//jzc3NxgampaYqPsokWLMG/ePOTl5VV9gLUIN4iyesfFxQVJSUm4e/cuvv76ayxbtgzff/99sWWzsrIqbLsGBgZCYmGMMVa75eeSgq8WLVpUd1gAAF1dXSQlJeHvv//Grl27cPr0aYwZM6ZC1m1sbAypVFpqGT09vSrpBduuXTskJSUhMTERvr6+CAwMxOTJkyt9uyXZvXs3HB0dYW5uLjddmfMOZUgkEhgbG0MkEpVarnHjxtDU1Hzv7dUVWVlZGDZsWKmflc8//xw//vhjlfxgzhirm/KP/ffv38eGDRuwY8cOLF26tLrDKlViYiJOnDiBsWPHFpkXGxuLx48f49ChQ7h9+zbc3NyQm5v73ttUJEdpa2ujYcOG772tuuL169ewtbXF1q1bSyzTp08fvHr1CqdPn67CyGofbhBl9Y5UKoWxsTHMzc0xefJkODs749ixYwD+11PEx8cHpqamsLKyAgA8evQIw4cPh76+PgwMDDBgwAA8ePBAWGdubi68vb2hr6+Phg0bYs6cOSAiue0WvmX+7du3mDt3LszMzCCVSmFhYYGffvoJDx48wCeffAIAaNCgAUQikZCU8vLysGrVKrRo0QIaGhqwtbXFf//7X7ntnDp1CpaWltDQ0MAnn3wiF6ei5s6dC0tLS2hqaqJly5ZYvHgxsrOzi5TbsWMHzMzMoKmpieHDhyM1NVVu/u7du9GmTRuoq6vD2toa27ZtUzoWxhirifJzScGXWCzG+vXrYWNjAy0tLZiZmWHKlClIT08vcT3Xr1/HJ598Ah0dHejq6sLOzg5XrlwR5l+4cAE9evSAhoYGzMzMMH369DJv5RWJRDA2NoapqSn69OmD6dOn4/fff8ebN2+Ql5eHFStWoGnTppBKpejQoQMCAwOFZbOysuDl5QUTExOoq6vD3Nwcq1atklt3fk+E/Abgjh07QiQS4eOPPwYg3+ty586dMDU1LdJDYcCAARg3bpzw/rfffkOnTp2grq6Oli1bYvny5WU2RqmqqsLY2BhNmjSBs7Mzhg0bhqCgIGF+bm4uxo8fL+RMKysrbNq0SZi/bNky7N27F7/99pvQ8yU0NBRA2Xm/OAEBAXBzcysyvbTzjhcvXsDDwwMNGjSApqYm+vTpg7t37wrLPnz4EG5ubmjQoAG0tLTQrl07nDp1CoD83SShoaH4/PPPkZqaKtRl2bJlAORvRxw9ejRGjBghF192djYaNWqEffv2AVDsXKMsin4Pjh49itatW0NdXR0ymQyPHj2Sm1+ez0VZli9fjpkzZ8LGxqbEMr169UJKSgr++OOP99oWY6z+yj/2m5mZYeDAgXB2dpbLUYoca2/fvo1+/fpBV1cXOjo66NGjB+Lj4wG861nZq1cvNGrUCHp6enBycsLVq1ffK+aDBw/C1tYWTZo0KTLP0NAQJiYm+Oijj7BkyRJER0cLd8b8+OOPaNWqFSQSCaysrLB//35hOSLCsmXL0KxZM0ilUpiammL69OnC/II5qnnz5gCAQYMGQSQSCe8L3s5+9uxZqKurF7mTcsaMGfj000+F9+U5fypI0f2bf+eMhoYGWrZsWeR/WJ7zibL06dMH3377LQYNGlRiGbFYDFdXVwQEBLzXtuo6bhBl9Z6GhoZcT9Dg4GDExsYiKCgIJ06cQHZ2NmQyGXR0dBAWFobw8HBoa2vDxcVFWG7dunXw8/PDnj17cOHCBaSkpODIkSOlbtfDwwO//PILNm/ejJiYGOzYsQPa2towMzMTnvcRGxuLpKQk4QJu1apV2LdvH7Zv347bt29j5syZ+Oyzz4QT9kePHmHw4MFwc3NDVFQUJkyYgHnz5im9T3R0dODn54fo6Ghs2rQJu3btwoYNG+TK3Lt3DwcPHsTx48cRGBiIa9euYcqUKcJ8f39/LFmyBD4+PoiJicHKlSuxePFi7N27V+l4GGOstlBRUcHmzZtx+/Zt7N27F+fOncOcOXNKLO/u7o6mTZvi8uXLiIyMxLx586CmpgYAiI+Ph4uLC4YMGYIbN27gwIEDuHDhAry8vJSKSUNDA3l5ecjJycGmTZuwbt06rF27Fjdu3IBMJkP//v2FRrjNmzfj2LFjOHjwIGJjY+Hv7y9ckBT2119/AQB+//13JCUl4fDhw0XKDBs2DM+fP0dISIgwLSUlBYGBgXB3dwcAhIWFwcPDAzNmzEB0dDR27NgBPz8/+Pj4KFzHBw8e4MyZM5BIJMK0vLw8NG3aFIcOHUJ0dDSWLFmCBQsW4ODBgwDe3YI3fPhwud6+jo6OCuX9wlJSUhAdHY3OnTuXGWvB846xY8fiypUrOHbsGCIiIkBEcHV1FX6EnDp1Kt6+fYvz58/j5s2b+O6776CtrV1knY6Ojti4caPQOzgpKQmzZs0qUs7d3R3Hjx+Xa5w8c+YMMjIyhAurss41FKHI9yAjIwM+Pj7Yt28fwsPD8fLlS4wcOVKYX57Pxccff1xszyZlSSQSdOjQAWFhYe+9LsYYu3XrFi5evCiXo8o61v7zzz/46KOPIJVKce7cOURGRmLcuHHCj0KvXr2Cp6cnLly4gD///BOtW7eGq6vrez37MywsTOE8Brz7EfXIkSOYMWMGvv76a9y6dQtffvklPv/8cyHv//rrr0IP2bt37+Lo0aMl/iB1+fJlAICvry+SkpKE9wX17NkT+vr6cs/HzM3NxYEDB4Tzioo4f1J0/y5evBhDhgzB9evX4e7ujpEjRyImJgYAynU+kf/oo4pgb2/PeawsxFg94unpSQMGDCAiory8PAoKCiKpVEqzZs0S5hsZGdHbt2+FZfbv309WVlaUl5cnTHv79i1paGjQmTNniIjIxMSE1qxZI8zPzs6mpk2bCtsiInJycqIZM2YQEVFsbCwBoKCgoGLjDAkJIQD04sULYVpmZiZpamrSxYsX5cqOHz+eRo0aRURE8+fPp7Zt28rNnzt3bpF1FQaAjhw5UuL877//nuzs7IT3S5cuJbFYTH///bcw7fTp06SiokJJSUlERNSqVSv6+eef5dbzzTffkIODAxERJSQkEAC6du1aidtljLGayNPTk8RiMWlpaQmvoUOHFlv20KFD1LBhQ+G9r68v6enpCe91dHTIz8+v2GXHjx9PX3zxhdy0sLAwUlFRoTdv3hS7TOH1x8XFkaWlJXXu3JmIiExNTcnHx0dumS5dutCUKVOIiGjatGn06aefyuW8ggrmi5KO4wVzLRHRgAEDaNy4ccL7HTt2kKmpKeXm5hIRUc+ePWnlypVy69i/fz+ZmJgUGwPRuzykoqJCWlpapK6uTgAIAK1fv77EZYiIpk6dSkOGDCkx1vxtl5X3C7t27RoBoMTERLnppZ13xMXFEQAKDw8Xyj979ow0NDTo4MGDRERkY2NDy5YtK3abhc8VCv/v85mbm9OGDRuI6N35SaNGjWjfvn3C/FGjRtGIESOISLFzjeIU3EZxivseAKA///xTmBYTE0MA6NKlS0Sk2Oei8PnLmDFjaN68eSXGUVBJ+yvfoEGDaOzYsQqtizHGCip4niCVSgkAqaio0H//+18iUvy6rkWLFpSVlaXQNnNzc0lHR4eOHz8uTFMkZxdka2tLK1askJtWONc8fvyYHB0dqUmTJvT27VtydHSkiRMnyi0zbNgwcnV1JSKidevWkaWlZYn1KJw/irsuXbp0Kdna2grvZ8yYQZ9++qnw/syZMySVSoUYy3P+VHgbhZW0fydNmiRXrmvXrjR58mQiUux8ovB5yOHDh8nKyqrEOAor7Tr+t99+IxUVFeF8ixWlWpWNr4zVBCdOnIC2tjays7ORl5eH0aNHC7eVAYCNjY3cr3fXr1/HvXv3ijz/MzMzE/Hx8UhNTUVSUhK6du0qzFNVVUXnzp2L3DafLyoqCmKxGE5OTgrHfe/ePWRkZKBXr15y07OystCxY0cAQExMjFwcAODg4KDwNvIdOHAAmzdvRnx8PNLT05GTkwNdXV25Ms2aNZO7ncLBwQF5eXmIjY2Fjo4O4uPjMX78eEycOFEok5OTIwz+wBhjtdknn3yCH3/8UXivpaUF4F1vyVWrVuHOnTtIS0tDTk4OMjMzkZGRUewzsry9vTFhwgTs379fuO27VatWAN7lnxs3bsDf318oT0TIy8tDQkIC2rRpU2xsqamp0NbWRl5eHjIzM/Hhhx9i9+7dSEtLw+PHj9G9e3e58t27d8f169cBvOux2KtXL1hZWcHFxQX9+vVD796932tfubu7Y+LEidi2bRukUin8/f0xcuRIqKioCPUMDw+X6/mXm5tb6n4DACsrKxw7dgyZmZn4z3/+g6ioKEybNk2uzNatW7Fnzx4kJibizZs3yMrKKnMU2bLyfnHevHkDAFBXVy8yr6TzjuDgYKiqqsrl7YYNG8LKykroXTJ9+nRMnjwZZ8+ehbOzM4YMGYL27duXGn9pVFVVMXz4cPj7+2PMmDF4/fo1fvvtN+GWOkXONRShyPdAVVUVXbp0EZaxtraGvr4+YmJiYG9vX67PRf5t/xVBQ0MDGRkZFbY+xlj9kn+e8Pr1a2zYsAGqqqoYMmQIAMWOtVFRUejRo4dw10hhT548waJFixAaGoqnT58iNzcXGRkZSExMLHfMb968KTaPAUDTpk1BRMjIyICtrS1+/fVXSCQSxMTEFBm4r3v37sIdjsOGDcPGjRvRsmVLuLi4wNXVFW5ublBVLX9TlLu7O7p164bHjx/D1NQU/v7+6Nu3r/D88vKePxWk6P4tfK3t4OAgDDZZnvOJQYMGlXorvDLy7xB6+/at0KuXyeMGUVbv5CcniUQCU1PTIgfj/IvafOnp6bCzs5M7oOZr3LhxuWIozwEp//a2kydPFnmuS1kDXCgjIiIC7u7uWL58OWQyGfT09BAQEIB169YpHeuuXbuKNNCKxeIKi5UxxqqLlpYWLCws5KY9ePAA/fr1w+TJk+Hj4wMDAwNcuHAB48ePR1ZWVrENOMuWLcPo0aNx8uRJnD59GkuXLkVAQAAGDRqE9PR0fPnll3LP2srXrFmzEmPT0dHB1atXoaKiAhMTEyHnpKWllVmvTp06ISEhAadPn8bvv/+O4cOHw9nZWelnSBbk5uYGIsLJkyfRpUsXhIWFyT2GJT09HcuXL8fgwYOLLFvShRkAYdR2AFi9ejX69u2L5cuX45tvvgHw7pmes2bNwrp16+Dg4AAdHR18//33uHTpUqnxlifvN2rUCMC7Z4IWLlPWeUdpJkyYAJlMhpMnT+Ls2bNYtWoV1q1bV6ThVxnu7u5wcnLC06dPERQUBA0NDbi4uAComHON8nwPilPez0VFSUlJEX6cYIwxZRU8T9izZw9sbW3x008/Yfz48Qoda8u6XvT09MTz58+xadMmmJubQyqVwsHB4b0GBW7UqBFevHhR7LywsDDo6urC0NBQqYGCzczMEBsbi99//x1BQUGYMmUKvv/+e/zxxx8lNvaWpUuXLmjVqhUCAgIwefJkHDlyBH5+fsL88p4/FVQR+7cy2hGUkZKSAi0tLW4MLQU3iLJ6p7iL2NJ06tQJBw4cgKGhYZFekvlMTExw6dIlfPTRRwDe9YSMjIxEp06dii1vY2ODvLw8/PHHH3B2di4yP7+HasGR+9q2bQupVIrExMQSe5a2adNGGKgh359//ll2JQu4ePEizM3NsXDhQmHaw4cPi5RLTEwUfpXL346KigqsrKxgZGQEU1NT3L9/X3iWC2OM1XWRkZHIy8vDunXrhN6P+c+rLI2lpSUsLS0xc+ZMjBo1Cr6+vhg0aBA6deqE6OhopXIW8O75jcUto6urC1NTU4SHh8vlkfDwcNjb28uVGzFiBEaMGIGhQ4fCxcUFKSkpMDAwkFtfcbmqOOrq6hg8eDD8/f1x7949WFlZyeXHTp06ITY2Vul6FrZo0SJ8+umnmDx5slBPR0dHuedbF+6RIZFIisSvSN4vrFWrVtDV1UV0dDQsLS3l5pV03tGmTRvk5OTg0qVLcHR0BAA8f/4csbGxaNu2rVDOzMwMkyZNwqRJkzB//nzs2rWr2AbR4upSHEdHR5iZmeHAgQM4ffo0hg0bJlyUKnKuURZFvwc5OTm4cuWK8NmLjY3Fy5cvhZ47FfW5KK9bt25h6NCh1bJtxljdoqKiggULFsDb2xujR49W6Fjbvn177N27F9nZ2cU2HIaHh2Pbtm1wdXUF8G4siWfPnr1XnB07dkR0dHSx81q0aCH0wCyoTZs2CA8Ph6enp1xsBfOYhoYG3Nzc4ObmhqlTp8La2ho3b94s9lpZTU1NoVzm7u4Of39/NG3aFCoqKujbt68wr7znTwUpun///PNPeHh4yL3P7+VbnvOJinTr1i2l7u6oj3hQJcbK4O7ujkaNGmHAgAEICwtDQkICQkNDMX36dPz9998A3o1qt3r1ahw9ehR37tzBlClTiox8V1Dz5s3h6emJcePG4ejRo8I68y8YzM3NIRKJcOLECfz7779IT0+Hjo4OZs2ahZkzZ2Lv3r2Ij4/H1atXsWXLFmGgokmTJuHu3buYPXs2YmNj8fPPP8v9WqaI1q1bIzExEQEBAYiPj8fmzZuLHSBKXV0dnp6euH79OsLCwjB9+nQMHz4cxsbGAN6N4rpq1Sps3rwZcXFxuHnzJnx9fbF+/Xql4mGMsdrCwsIC2dnZ2LJlC+7fv4/9+/dj+/btJZZ/8+YNvLy8EBoaiocPHyI8PByXL18WGoTmzp2LixcvwsvLC1FRUbh79y5+++03pQdVKmj27Nn47rvvcODAAcTGxmLevHmIiorCjBkzALwbHfyXX37BnTt3EBcXh0OHDsHY2LjYiyBDQ0NoaGggMDAQT548QWpqaonbdXd3x8mTJ7Fnz54iP5QtWbIE+/btw/Lly3H79m3ExMQgICAAixYtUqpuDg4OaN++PVauXAngXT67cuUKzpw5g7i4OCxevLjIAA3NmzfHjRs3EBsbi2fPniE7O1uhvF+YiooKnJ2dceHCBYXjbd26NQYMGICJEyfiwoULuH79Oj777DM0adIEAwYMAAB89dVXOHPmDBISEnD16lWEhISUeKtf8+bNkZ6ejuDgYDx79qzU271Hjx6N7du3IygoSO7/oci5RlkU/R6oqalh2rRpuHTpEiIjIzF27Fh069ZNaCAtz+fCw8MD8+fPLzW+xMREREVFITExEbm5uYiKikJUVJTcQFMPHjzAP//8U+yP1owxVh7Dhg2DWCzG1q1bFTrWenl5IS0tDSNHjsSVK1dw9+5d7N+/H7GxsQDe5ZD9+/cjJiYGly5dgru7+3v3BJTJZIiIiFCoQTLf7Nmz4efnhx9//BF3797F+vXrcfjwYWFgPz8/P/z000+4desW7t+/j//85z/Q0NCAubl5setr3rw5goODkZycXGJvVeDdecXVq1fh4+ODoUOHyt3FUBHnT4ru30OHDmHPnj2Ii4vD0qVL8ddffwnbKc/5xJEjR2BtbV1qbOnp6ULuAoCEhAQhrxUUFhb23o89qvOq9QmmjFWx4gZPUGR+UlISeXh4UKNGjUgqlVLLli1p4sSJlJqaSkTvBimYMWMG6erqkr6+Pnl7e5OHh0eJgyoREb1584ZmzpxJJiYmJJFIyMLCgvbs2SPMX7FiBRkbG5NIJCJPT08iejcgw8aNG8nKyorU1NSocePGJJPJ6I8//hCWO378OFlYWJBUKqUePXrQnj17lB5Uafbs2dSwYUPS1tamESNG0IYNG+QGHsh/6PS2bdvI1NSU1NXVaejQoZSSkiK3Xn9/f+rQoQNJJBJq0KABffTRR3T48GEi4kGVGGO1V2m5ZP369WRiYkIaGhokk8lo3759JQ588/btWxo5ciSZmZmRRCIhU1NT8vLyknvg/19//UW9evUibW1t0tLSovbt2xcZFKmgsgaKyc3NpWXLllGTJk1ITU2NbG1t6fTp08L8nTt3UocOHUhLS4t0dXWpZ8+edPXqVWF+4Xyxa9cuMjMzIxUVFXJycipx/+Tm5pKJiQkBoPj4+CJxBQYGkqOjI2loaJCuri7Z29vTzp07S6xHSYMf/PLLLySVSikxMZEyMzNp7NixpKenR/r6+jR58mSaN2+e3HJPnz4V9i8ACgkJIaKy835xTp06RU2aNJEbvKCs846UlBQaM2YM6enpCZ+ZuLg4Yb6Xlxe1atWKpFIpNW7cmMaMGUPPnj0jouIHYJw0aRI1bNiQANDSpUuJqPgBj6KjowkAmZubFxlAS5FzjcIKb0PR78Gvv/5KLVu2JKlUSs7OzvTw4UO59Zb1uSj8eXRychLOmUri6ekpDMJV8JX/vyciWrlyJclkslLXwxhjJSnp2L9q1Spq3LgxpaenK3SsvX79OvXu3Zs0NTVJR0eHevToIeTQq1evUufOnUldXZ1at25Nhw4dKnWAIkWuvbKzs8nU1JQCAwOFacXlmsK2bdtGLVu2JDU1NbK0tJQbuO/IkSPUtWtX0tXVJS0tLerWrRv9/vvvwvzCMR87dowsLCxIVVWVzM3NiajknG9vb08A6Ny5c0XmKXv+VHgbiu7frVu3Uq9evUgqlVLz5s3pwIEDcust63yi8Gclf9DB0uT/Twq/Cua/v//+m9TU1OjRo0elrqu+ExGVMOoLY4wxxhhjTCFEhK5duwqPPmC1U1ZWFlq3bo2ff/65yABkjDFW123duhXHjh3DmTNnqjsU9h7mzp2LFy9eYOfOndUdSo3GzxBljDHGGGPsPYlEIuzcuRM3b96s7lDYe0hMTMSCBQu4MZQxVi99+eWXePnyJV69eqXU4EmsZjE0NIS3t3d1h1HjcQ9RxhhjjDHGGGOMMcZYvcGDKjHGGGOMMcYYY4wxxuoNbhBljDHGGGOMMcYYY4zVG9wgyhhjjDHGGGOMMcYYqze4QZQxxhhjjDHGGGOMMVZvcIMoY4wxxhhjjDHGGGOs3uAGUcYYY4wxxhhjjDHGWL3BDaKMMcYYY4wxxhhjjLF6gxtEGWOMMcYYY4wxxhhj9QY3iDLGGGOMMcYYY4wxxuqN/wM4x6i43K/TYQAAAABJRU5ErkJggg==\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "              precision    recall  f1-score  support\n",
       "shoes          1.000000  0.862069  0.925926     87.0\n",
       "no_shoes       0.733333  1.000000  0.846154     33.0\n",
       "accuracy       0.900000  0.900000  0.900000      0.9\n",
       "macro avg      0.866667  0.931034  0.886040    120.0\n",
       "weighted avg   0.926667  0.900000  0.903989    120.0"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-3e9d4a9a-670f-4235-9556-6a8130465c99\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>shoes</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.862069</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_shoes</th>\n",
       "      <td>0.733333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.866667</td>\n",
       "      <td>0.931034</td>\n",
       "      <td>0.886040</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.926667</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.903989</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3e9d4a9a-670f-4235-9556-6a8130465c99')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-3e9d4a9a-670f-4235-9556-6a8130465c99 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-3e9d4a9a-670f-4235-9556-6a8130465c99');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.09813822451578749,\n        \"min\": 0.7333333333333333,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.7333333333333333,\n          0.9266666666666666,\n          0.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.051643615483562264,\n        \"min\": 0.8620689655172413,\n        \"max\": 1.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.0,\n          0.9310344827586207,\n          0.8620689655172413\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1-score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.029560103613681356,\n        \"min\": 0.8461538461538461,\n        \"max\": 0.9259259259259259,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8461538461538461,\n          0.9039886039886039,\n          0.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 53.40657262921859,\n        \"min\": 0.9,\n        \"max\": 120.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          33.0,\n          120.0,\n          87.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ],
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABUQAAAGMCAYAAAASiKidAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAvhdJREFUeJzs3Xd8jff///HnSWTKRCJEiFliJEbtWSpK7T1q1WjNUi0+JWiNopQWobS2UqtFbUVR1N7UiL1DBCEh5/z+8HO+PU2QEE7G4367ndvNeV/X9b6e1xG5XK/zvt6XwWQymQQAAAAAAAAAaYCNtQMAAAAAAAAAwJtCQRQAAAAAAABAmkFBFAAAAAAAAECaQUEUAAAAAAAAQJpBQRQAAAAAAABAmkFBFAAAAAAAAECaQUEUAAAAAAAAQJpBQRQAAAAAAABAmkFBFAAAAAAAAECaQUEUAADgJVWuXFmFChWydoxkYfbs2cqfP7/s7Ozk4eFhbh89erRy5colW1tbBQUFSZL8/f3Vtm3bRPV/9uxZGQwGzZgxI8kyp2T87AEAALw8CqIAAABp0PLly2VjY6OrV6++cl/Hjx9X27ZtlTt3bk2dOlU//PCDJGnt2rX6/PPPVa5cOU2fPl3Dhw9/5X29bpMmTXpjRdeVK1dq8ODBb2RfP/74owoUKCBHR0flzZtX33///RvZLwAAQHKUztoBAAAA8Ob9/vvvKl68uHx8fF65r02bNsloNGr8+PHKkyePuf2PP/6QjY2NfvzxR9nb25vbT5w4IRubxH0vnyNHDj148EB2dnavnPd5Jk2apEyZMiV6BOvLWLlypSZOnPjai6JTpkzRRx99pIYNG6p3797asmWLevTooaioKPXt2/e17hsAACA5oiAKAACQBq1cuVLt27dPkr6uX78uSRa3yj9td3JysiiGSpKDg0Oi92EwGOTo6PjSGdOqBw8e6IsvvlCtWrW0aNEiSVLHjh1lNBr11VdfqVOnTvL09LRySgAAgDeLW+YBAADicffuXX3yySfy9/eXg4ODvL299e6772rv3r1x1j169KiqVKkiZ2dn+fr6atSoUXHWuX79uj788ENlzpxZjo6OCgwM1MyZM+OsZzQaNW7cOBUsWFCOjo7KnDmzOnfurNu3b1ust3v3bgUHBytTpkxycnJSzpw5E1zgPHTokC5cuKBatWq9cN05c+aoePHicnJyUoYMGdSsWTNduHDBvNzf31+DBg2SJHl5eclgMGjw4MEyGAyaPn267t+/L4PBYDH/Z3xziEZERKhXr17mzztbtmxq3bq1bt68KenZc4geP35cjRo1UoYMGeTo6KgSJUpo2bJlFuvMmDFDBoNB27ZtU+/eveXl5aX06dOrfv36unHjhsWxHDlyRJs3bzZnrly5cqL6eGrVqlWqUKGC0qdPL1dXV9WqVUtHjhwxL2/btq0mTpwoSeZ9GQyGF/59/NeePXtUtmxZ88/A5MmTLZZv3LhR4eHh6tKli0V7165ddf/+ff3++++J3icAAEBKxwhRAACAeHz00UdatGiRunXrpoCAAIWHh2vr1q06duyYihUrZl7v9u3bqlGjhho0aKAmTZpo0aJF6tu3rwoXLqz33ntP0pNRepUrV9apU6fUrVs35cyZUwsXLlTbtm0VERGhnj17mvvr3LmzZsyYoXbt2qlHjx4KCwvThAkTtG/fPm3btk12dna6fv26qlevLi8vL/Xr108eHh46e/aslixZkqBjW7lypby9vVWiRInnrjds2DANHDhQTZo0UYcOHXTjxg19//33qlixovbt2ycPDw+NGzdOs2bN0tKlSxUaGioXFxcVKVJEefLk0Q8//KC///5b06ZNkySVLVs23v3cu3dPFSpU0LFjx9S+fXsVK1ZMN2/e1LJly3Tx4kVlypQp3u2OHDmicuXKydfXV/369VP69On1yy+/qF69elq8eLHq169vsX737t3l6empQYMG6ezZsxo3bpy6deumBQsWSJLGjRun7t27y8XFRV988YUkKXPmzInqQ3rygKk2bdooODhYI0eOVFRUlEJDQ1W+fHnt27dP/v7+6ty5sy5fvqx169Zp9uzZz/17eJbbt2+rZs2aatKkiZo3b65ffvlFH3/8sezt7c3F8X379klSnL/r4sWLy8bGRvv27VOrVq1eav8AAAAplgkAAABxuLu7m7p27frcdSpVqmSSZJo1a5a5LTo62uTj42Nq2LChuW3cuHEmSaY5c+aY22JiYkxlypQxubi4mCIjI00mk8m0ZcsWkyTT3LlzLfazevVqi/alS5eaJJl27dr1UsdWoUIFU5s2bZ67ztmzZ022tramYcOGWbQfOnTIlC5dOov2QYMGmSSZbty4YbFumzZtTOnTp4/Td44cOSz2HxISYpJkWrJkSZx1jUajyWQymcLCwkySTNOnTzcvq1q1qqlw4cKmhw8fWqxftmxZU968ec1t06dPN0kyVatWzdyfyWQy9erVy2Rra2uKiIgwtxUsWNBUqVKlODkS2sfdu3dNHh4epo4dO1psf/XqVZO7u7tFe9euXU0v+9/xpz97Y8aMMbdFR0ebgoKCTN7e3qaYmBjzPmxtbePtw8vLy9SsWbOX2j8AAEBKxi3zAAAA8fDw8NDOnTt1+fLl567n4uJiMcLO3t5eJUuW1JkzZ8xtK1eulI+Pj5o3b25us7OzU48ePXTv3j1t3rxZkrRw4UK5u7vr3Xff1c2bN82v4sWLy8XFRRs3bjRnk6QVK1bo0aNHiTquiIgIbd++/YW3yy9ZskRGo1FNmjSxyOLj46O8efOasySFxYsXKzAwMM6ITknPvI381q1b+uOPP9SkSRPdvXvXnC88PFzBwcE6efKkLl26ZLFNp06dLPqrUKGCYmNjde7cuQRnfVEf69atU0REhJo3b27xudna2qpUqVJJ+rmlS5dOnTt3Nr+3t7dX586ddf36de3Zs0fSk9HJ/53D9SlHR0c9ePAgyfIAAACkFNwyDwAAEI9Ro0apTZs28vPzU/HixVWzZk21bt1auXLlslgvW7ZscYp2np6eOnjwoPn9uXPnlDdv3jhPVi9QoIB5uSSdPHlSd+7ckbe3d7yZnj68qFKlSmrYsKGGDBmib7/9VpUrV1a9evXUokWLFz6waM2aNZKk6tWrP3e9kydPymQyKW/evPEuT8qnvZ8+fVoNGzZM1DanTp2SyWTSwIEDNXDgwHjXuX79unx9fc3vs2fPbrH86cOE/js/6/O8qI+TJ09Kkt555514t3dzc0vwvl4ka9asSp8+vUVbvnz5JD2Zc7V06dJycnJSTExMvNs/fPhQTk5OSZYHAAAgpaAgCgAAEI8mTZqoQoUKWrp0qdauXavRo0dr5MiRWrJkiXluUEmytbWNd3uTyZTofRqNRnl7e2vu3LnxLvfy8pL0ZNTkokWLtGPHDi1fvlxr1qxR+/btNWbMGO3YsUMuLi7P3MfKlStVrlw5ubu7vzCLwWDQqlWr4j3G5+3jTTAajZKkPn36KDg4ON518uTJY/E+Kf6uXtTH01yzZ8+Wj49PnPXSpXuz//3OkiWLYmNjdf36dYtCe0xMjMLDw5U1a9Y3mgcAACA5oCAKAADwDFmyZFGXLl3UpUsXXb9+XcWKFdOwYcMsCqIJkSNHDh08eFBGo9FilOjx48fNyyUpd+7cWr9+vcqVK5egkXulS5dW6dKlNWzYMM2bN08tW7bU/Pnz1aFDh3jXN5lMWr16tfr06fPCvnPnzi2TyaScOXOaRx2+Lrlz59bhw4cTtc3Tkbp2dnaqVq1akmV5mSe9/1vu3LklSd7e3i/M9ar7unz5su7fv28xSvSff/6RJPn7+0uSgoKCJEm7d+9WzZo1zevt3r1bRqPRvBwAACAtYQ5RAACA/4iNjdWdO3cs2ry9vZU1a1ZFR0cnur+aNWvq6tWrFk8if/z4sb7//nu5uLioUqVKkp6MSo2NjdVXX30Vp4/Hjx8rIiJC0pPbs/87qvFpYet5+Xbt2qXr16+/cP5QSWrQoIFsbW01ZMiQOPsymUwKDw9/YR8J1bBhQx04cEBLly6Ns+xZoze9vb1VuXJlTZkyRVeuXImz/MaNGy+VJX369ObP+WUEBwfLzc1Nw4cPj3d+13/nelrIfNn9PX78WFOmTDG/j4mJ0ZQpU+Tl5aXixYtLenLrfoYMGRQaGmqxbWhoqJydnRP0swAAAJDaMEIUAADgP+7evats2bKpUaNGCgwMlIuLi9avX69du3ZpzJgxie6vU6dOmjJlitq2bas9e/bI399fixYt0rZt2zRu3Di5urpKejI3aOfOnTVixAjt379f1atXl52dnU6ePKmFCxdq/PjxatSokWbOnKlJkyapfv36yp07t+7evaupU6fKzc3NYhTgf/3+++/y9/dXQEDACzPnzp1bQ4cOVf/+/XX27FnVq1dPrq6uCgsL09KlS9WpU6cEjTRNiM8++0yLFi1S48aN1b59exUvXly3bt3SsmXLNHnyZAUGBsa73cSJE1W+fHkVLlxYHTt2VK5cuXTt2jVt375dFy9e1IEDBxKdpXjx4goNDdXQoUOVJ08eeXt7P3M+0Pi4ubkpNDRUH3zwgYoVK6ZmzZrJy8tL58+f1++//65y5cppwoQJ5n1JUo8ePRQcHCxbW1s1a9YswfvKmjWrRo4cqbNnzypfvnxasGCB9u/frx9++ME8x6uTk5O++uorde3aVY0bN1ZwcLC2bNmiOXPmaNiwYcqQIUMiPh0AAIDUgYIoAADAfzg7O6tLly5au3at+WnrefLk0aRJk/Txxx8nuj8nJydt2rRJ/fr108yZMxUZGam33npL06dPV9u2bS3WnTx5sooXL64pU6bof//7n9KlSyd/f3+1atVK5cqVk/SkcPr3339r/vz5unbtmtzd3VWyZEnNnTtXOXPmfGaOlStXPrdg+l/9+vVTvnz59O2332rIkCGSJD8/P1WvXl116tRJ9OfwLC4uLtqyZYsGDRqkpUuXaubMmfL29lbVqlWVLVu2Z24XEBCg3bt3a8iQIZoxY4bCw8Pl7e2tokWLKiQk5KWyhISE6Ny5cxo1apTu3r2rSpUqJaogKkktWrRQ1qxZ9fXXX2v06NGKjo6Wr6+vKlSooHbt2pnXa9Cggbp376758+drzpw5MplMiSqIenp6aubMmerevbumTp2qzJkza8KECerYsaPFel26dJGdnZ3GjBmjZcuWyc/PT99++6169uyZqOMCAABILQyml5nxHwAAACnKtWvXlCVLFq1YsSJRRVEAAAAgtWEOUQAAgDTgzp07CgkJUZUqVawdBQAAALAqRogCAAAAycStW7cUExPzzOW2trby8vJ6g4kAAABSHwqiAAAAQDJRuXJlbd68+ZnLc+TIobNnz765QAAAAKkQBVEAAAAgmdizZ49u3779zOVOTk7mh2sBAADg5VAQBQAAAAAAAJBm8FAlAAAAAAAAAGkGBVEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGBVEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGBVEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGBVEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGBVEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGBVEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGBVEAAAAAAAAAaQYFUeANWr16tYKCguTo6CiDwaCIiIgk7X/GjBkyGAw6e/Zskvab0p09e1YGg0EzZsywdhQAAAAAVmQwGDR48OAk79ff319t27ZN8n6TyqZNm2QwGLRp0yZrR0nWXvaa+nX9XKVk8X2WlStXVuXKla2W6d8oiOK1MBgMCXolxS/jqKgoDR48ONn/Yg8PD1eTJk3k5OSkiRMnavbs2UqfPr21Y6U4K1eu5EQDAAAApGFPCy0Gg0Fbt26Ns9xkMsnPz08Gg0Hvv/++FRICSO7SWTsAUqfZs2dbvJ81a5bWrVsXp71AgQKvvK+oqCgNGTJEkpLNNw3x2bVrl+7evauvvvpK1apVey37+OCDD9SsWTM5ODi8lv6Tg5UrV2rixImJKormyJFDDx48kJ2d3esLBgAAAOCNcnR01Lx581S+fHmL9s2bN+vixYvxXhc9ePBA6dIlfSnkxIkTsrFhzFlK97LX1K/r5wqvD39beC1atWpl8X7Hjh1at25dnPa05Pr165IkDw+P17YPW1tb2dravrb+U5rHjx/LaDTK3t5ejo6O1o4DAAAAIAnVrFlTCxcu1HfffWdRjJo3b56KFy+umzdvxtnmdV0XpOZBKcnV/fv3k/yuy5e9pk6u15uv4zNKLfj6AlZjNBo1btw4FSxYUI6OjsqcObM6d+6s27dvW6y3e/duBQcHK1OmTHJyclLOnDnVvn17SU/mhvTy8pIkDRkyxHzbxItGD0ZERKhXr17y9/eXg4ODsmXLptatW1ucMK9fv64PP/xQmTNnlqOjowIDAzVz5kyLfp7OTfnNN9/ohx9+UO7cueXg4KC3335bu3btMq9XuXJltWnTRpL09ttvy2AwmOeXedZcM/HNrfH999+rYMGCcnZ2lqenp0qUKKF58+aZlz9rvpNJkyapYMGCcnBwUNasWdW1a9c485dWrlxZhQoV0tGjR1WlShU5OzvL19dXo0aNeu5n+ZTBYFC3bt20cOFCBQQEyMnJSWXKlNGhQ4ckSVOmTFGePHnk6OioypUrx8m4ZcsWNW7cWNmzZ5eDg4P8/PzUq1cvPXjwwLxO27ZtNXHiRPP+nr4ky7+LcePGmf8ujh49GmcO0evXr8vLy0uVK1eWyWQy93/q1CmlT59eTZs2TdAxAwAAALCe5s2bKzw8XOvWrTO3xcTEaNGiRWrRokW82/z3evHu3bv65JNPzNeG3t7eevfdd7V3717zOidPnlTDhg3l4+MjR0dHZcuWTc2aNdOdO3fM6/z3uu7ptdm2bdvUu3dveXl5KX369Kpfv75u3LhhkcloNGrw4MHKmjWrnJ2dVaVKFR09ejRR85JeunRJH374obJmzSoHBwflzJlTH3/8sWJiYp65TUKuwSTp6tWrateunbJlyyYHBwdlyZJFdevWtbime951+/P4+/vr/fff19q1a83P2wgICNCSJUss1nv6eW7evFldunSRt7e3smXLZl6+atUqVahQQenTp5erq6tq1aqlI0eOxNnf8ePH1aRJE3l5ecnJyUlvvfWWvvjiizj7SeyxxVeH2Ldvn9577z25ubnJxcVFVatW1Y4dO+I9roT8nLzI4MGDZTAYdPToUbVo0UKenp4Wo6fnzJmj4sWLy8nJSRkyZFCzZs104cKFOP3s3LlTNWvWlKenp9KnT68iRYpo/Pjx5uUHDx5U27ZtlStXLjk6OsrHx0ft27dXeHh4ovJaGyNEYTWdO3fWjBkz1K5dO/Xo0UNhYWGaMGGC9u3bp23btsnOzk7Xr19X9erV5eXlpX79+snDw0Nnz541/3L08vJSaGioPv74Y9WvX18NGjSQJBUpUuSZ+713754qVKigY8eOqX379ipWrJhu3rypZcuW6eLFi8qUKZMePHigypUr69SpU+rWrZty5syphQsXqm3btoqIiFDPnj0t+pw3b57u3r2rzp07y2AwaNSoUWrQoIHOnDkjOzs7ffHFF3rrrbf0ww8/6Msvv1TOnDmVO3fuRH1eU6dOVY8ePdSoUSP17NlTDx8+1MGDB7Vz585nnuylJ78UhwwZomrVqunjjz/WiRMnFBoaql27dpk/56du376tGjVqqEGDBmrSpIkWLVqkvn37qnDhwnrvvfdemHHLli1atmyZunbtKkkaMWKE3n//fX3++eeaNGmSunTpotu3b2vUqFFq3769/vjjD/O2CxcuVFRUlD7++GNlzJhRf//9t77//ntdvHhRCxculPTkZ+by5cvxTr/w1PTp0/Xw4UN16tRJDg4OypAhg4xGo8U63t7eCg0NVePGjfX999+rR48eMhqNatu2rVxdXTVp0qQXHisAAAAA6/L391eZMmX0888/m69XVq1apTt37qhZs2b67rvvXtjHRx99pEWLFqlbt24KCAhQeHi4tm7dqmPHjqlYsWKKiYlRcHCwoqOj1b17d/n4+OjSpUtasWKFIiIi5O7u/tz+u3fvLk9PTw0aNEhnz57VuHHj1K1bNy1YsMC8Tv/+/TVq1CjVrl1bwcHBOnDggIKDg/Xw4cMEfQ6XL19WyZIlFRERoU6dOil//vy6dOmSFi1apKioKNnb28e7XUKuwSSpYcOGOnLkiLp37y5/f39dv35d69at0/nz583vn3fd/iInT55U06ZN9dFHH6lNmzaaPn26GjdurNWrV+vdd9+1WLdLly7y8vJSSEiI7t+/L+nJlH1t2rRRcHCwRo4cqaioKIWGhqp8+fLat2+f/P39JT0p5FWoUEF2dnbq1KmT/P39dfr0aS1fvlzDhg2LN9vLHtuRI0dUoUIFubm56fPPP5ednZ2mTJmiypUra/PmzSpVqpTF+gn5OUmoxo0bK2/evBo+fLh5ANCwYcM0cOBANWnSRB06dNCNGzf0/fffq2LFitq3b5/5TtZ169bp/fffV5YsWdSzZ0/5+Pjo2LFjWrFihbkOsm7dOp05c0bt2rWTj4+Pjhw5oh9++EFHjhzRjh07zIOWkj0T8AZ07drV9O8fty1btpgkmebOnWux3urVqy3aly5dapJk2rVr1zP7vnHjhkmSadCgQQnKEhISYpJkWrJkSZxlRqPRZDKZTOPGjTNJMs2ZM8e8LCYmxlSmTBmTi4uLKTIy0mQymUxhYWEmSaaMGTOabt26ZV73t99+M0kyLV++3Nw2ffr0eI8lR44cpjZt2sTJUqlSJVOlSpXM7+vWrWsqWLDgc4/t6T7CwsJMJpPJdP36dZO9vb2pevXqptjYWPN6EyZMMEky/fTTTxb7k2SaNWuWuS06Otrk4+Njatiw4XP3azKZTJJMDg4O5n2bTCbTlClTTJJMPj4+5s/MZDKZ+vfvb5HTZDKZoqKi4vQ5YsQIk8FgMJ07d87c9t+fpaee/l24ubmZrl+/Hu+y6dOnW7Q3b97c5OzsbPrnn39Mo0ePNkky/frrry88VgAAAADW8+9rqwkTJphcXV3N1xONGzc2ValSxWQyPbnWqlWrlsW2/712dHd3N3Xt2vWZ+9q3b59JkmnhwoXPzfTf67qnGatVq2a+zjSZTKZevXqZbG1tTRERESaTyWS6evWqKV26dKZ69epZ9Dd48GCTpHivFf+rdevWJhsbm3ivm5/ue+PGjSZJpo0bN5qXJeQa7Pbt2yZJptGjRz9z/wm5bn+WHDlymCSZFi9ebG67c+eOKUuWLKaiRYua255+nuXLlzc9fvzY3H737l2Th4eHqWPHjhb9Xr161eTu7m7RXrFiRZOrq6vF9aXJZLL4+/nvNXVCj+2/P1f16tUz2dvbm06fPm1uu3z5ssnV1dVUsWLFOPt70c9JQgwaNMgkydS8eXOL9rNnz5psbW1Nw4YNs2g/dOiQKV26dOb2x48fm3LmzGnKkSOH6fbt2xbr/jtbfD83P//8s0mS6c8//4xzbP++7v9vncOauGUeVrFw4UK5u7vr3Xff1c2bN82v4sWLy8XFRRs3bpT0f/NtrlixQo8ePUqSfS9evFiBgYGqX79+nGVPv8lYuXKlfHx81Lx5c/MyOzs79ejRQ/fu3dPmzZsttmvatKk8PT3N7ytUqCBJOnPmTJJklp58FhcvXrS4Ff9F1q9fr5iYGH3yyScWE3x37NhRbm5u+v333y3Wd3FxsZjn1d7eXiVLlkzwcVStWtX87Zsk87deDRs2lKura5z2f/fr5ORk/vP9+/d18+ZNlS1bViaTSfv27UvQ/p/u6+k0Ci8yYcIEubu7q1GjRho4cKA++OAD1a1bN8H7AgAAAGBdTZo00YMHD7RixQrdvXtXK1aseO4ddP/l4eGhnTt36vLly/EufzoCdM2aNYqKikp0vk6dOlmMmKtQoYJiY2N17tw5SdKGDRv0+PFjdenSxWK77t27J6h/o9GoX3/9VbVr11aJEiXiLH/eaL2EXIM5OTnJ3t5emzZtijO93VOvet2eNWtWi+tzNzc3tW7dWvv27dPVq1ct1u3YsaPFHJ/r1q1TRESEmjdvblFbsLW1ValSpcy1hRs3bujPP/9U+/btlT17dos+n/cZvcyxxcbGau3atapXr55y5cplbs+SJYtatGihrVu3KjIy0mKbF/2cJMZHH31k8X7JkiUyGo1q0qSJxWfk4+OjvHnzmj+jffv2KSwsTJ988kmcZ5/8O9u/f24ePnyomzdvqnTp0pJkMdVEckdBFFZx8uRJ3blzR97e3vLy8rJ43bt3z/wAokqVKqlhw4YaMmSIMmXKpLp162r69OmKjo5+6X2fPn1ahQoVeu46586dU968eeM8JbBAgQLm5f/231+oT4ujzzphvIy+ffvKxcVFJUuWVN68edW1a1dt27btuds8zfnWW29ZtNvb2ytXrlxxjiNbtmxxTgaenp4JPo7/fg5P//Pg5+cXb/u/+z1//rzatm2rDBkyyMXFRV5eXqpUqZIkWczN8yI5c+ZM8LoZMmTQd999p4MHD8rd3T1Bt9QAAAAASD68vLxUrVo1zZs3T0uWLFFsbKwaNWqU4O1HjRqlw4cPy8/PTyVLltTgwYMtBm7kzJlTvXv31rRp05QpUyYFBwdr4sSJCb5GedG14tNrsjx58lislyFDBotBN7Gxsbp69arFKyYmRjdu3FBkZOQLr3Hjk5BrMAcHB40cOVKrVq1S5syZVbFiRY0aNcqiUPmq1+158uSJcx2aL18+SYrz7In/Xu+dPHlSkvTOO+/EqS2sXbvWXFt4+nea2M/pZY7txo0bioqKinMdLj2pKRiNxjhzd77o5+TOnTtx/v6fvmJjYy22je8zMplMyps3b5zP6NixY+bP6PTp05Je/BndunVLPXv2VObMmeXk5CQvLy/zPhNz7W5tzCEKqzAajfL29tbcuXPjXf50hJ/BYNCiRYu0Y8cOLV++XGvWrFH79u01ZswY7dixQy4uLm8y9jM96yl0pn89sOdZnvVtVGxsrEW/BQoU0IkTJ7RixQqtXr1aixcv1qRJkxQSEqIhQ4a8XPD/eJXjeN72L+o3NjZW7777rm7duqW+ffsqf/78Sp8+vS5duqS2bdvGmQP0ef79bVVCrFmzRtKTE83FixfjfBMGAAAAIHlr0aKFOnbsqKtXr+q9995L1P/pmzRpogoVKmjp0qVau3atRo8erZEjR2rJkiXmeUnHjBmjtm3b6rffftPatWvVo0cPjRgxQjt27LB4sE98XvUa66kLFy7EKXRt3LjRPGgnsRJzDfbJJ5+odu3a+vXXX7VmzRoNHDhQI0aM0B9//KGiRYu+0ev2/17vPc05e/Zs+fj4xFk/XbpXK3u9qWN70c9Jz5494zzk+amwsDCLOzXj+4wMBoNWrVoV734SewxNmjTRX3/9pc8++0xBQUFycXGR0WhUjRo1EnXtbm0URGEVuXPn1vr161WuXLkEFbBKly6t0qVLa9iwYZo3b55atmyp+fPnq0OHDomesDd37tw6fPjwc9fJkSOHDh48KKPRaDFK9Pjx4+blScXT0zPOE9+lJ98U/nt4vSTzE9CbNm2qmJgYNWjQQMOGDVP//v3l6OgY73FI0okTJyz6iomJUVhYmKpVq5Zkx/EqDh06pH/++UczZ85U69atze3/flrkU0k5QfPq1as1bdo0ff7555o7d67atGmjnTt3vvJJEwAAAMCbU79+fXXu3Fk7dux4qYfQZMmSRV26dFGXLl10/fp1FStWTMOGDbN4sGzhwoVVuHBhDRgwQH/99ZfKlSunyZMna+jQoa+U/ek126lTpywKnuHh4RZ31Pn4+MS5PgoMDJS7u7vc3NxeeI37X4m5BpOeXEd/+umn+vTTT3Xy5EkFBQVpzJgxmjNnjnmd5123P8+pU6dkMpksrvX++ecfSbIo9D0rl/TkwbnPu759ej2c2M/pqcQcm5eXl5ydnXXixIk4y44fPy4bG5s4d1G+yOeff24xvd2/xVcI/rfcuXPLZDIpZ86c5pG3z1pPevIZPeuzvH37tjZs2KAhQ4YoJCTE3P50pG5Kwi3zsIomTZooNjZWX331VZxljx8/NhcIb9++Heebs6CgIEkyD1F3dnaWpHiLivFp2LChDhw4oKVLl8ZZ9nRfNWvW1NWrVy1Opo8fP9b3338vFxcX820ESSF37tzasWOHYmJizG0rVqyIM4Q+PDzc4r29vb0CAgJkMpmeOZdJtWrVZG9vr++++87ic/zxxx91584d1apVK8mO41U8/Zbq3xlNJpPGjx8fZ9306dNLSvjf97NERESoQ4cOKlmypIYPH65p06Zp7969Gj58+Cv1CwAAAODNcnFxUWhoqAYPHqzatWsneLvY2Ng4t/h6e3sra9as5uvNyMhIPX782GKdwoULy8bG5pWmcnuqatWqSpcunUJDQy3aJ0yYYPHe0dFR1apVs3h5enrKxsZG9erV0/Lly7V79+44/T9rJGpCr8GioqLiPO0+d+7ccnV1NR9/Qq7bn+fy5csW1+eRkZGaNWuWgoKCXljsCw4Olpubm4YPHx7vdfGNGzckPSlSVqxYUT/99JPOnz9vsc7zRuu+zLHZ2tqqevXq+u233yxu+b927ZrmzZun8uXLy83N7bnH9V8BAQFx/v6fvuIbHPVvDRo0kK2trYYMGRLnWEwmk7nWUKxYMeXMmVPjxo2Lc739dLv4fm4kady4cYk6nuSAYVCwikqVKqlz584aMWKE9u/fr+rVq8vOzk4nT57UwoULNX78eDVq1EgzZ87UpEmTVL9+feXOnVt3797V1KlT5ebmppo1a0p6Mhw8ICBACxYsUL58+ZQhQwYVKlTomfNefPbZZ1q0aJEaN26s9u3bq3jx4rp165aWLVumyZMnKzAwUJ06ddKUKVPUtm1b7dmzR/7+/lq0aJG2bdumcePGWTwg6FV16NBBixYtUo0aNdSkSROdPn1ac+bMMX8781T16tXl4+OjcuXKKXPmzDp27JgmTJigWrVqPTOPl5eX+vfvryFDhqhGjRqqU6eOTpw4oUmTJuntt99+5jdMb1r+/PmVO3du9enTR5cuXZKbm5sWL14c79ylxYsXlyT16NFDwcHBsrW1VbNmzRK9z549eyo8PFzr16+Xra2tatSooQ4dOmjo0KGqW7euAgMDX/m4AAAAALwZbdq0SfQ2d+/eVbZs2dSoUSMFBgbKxcVF69ev165duzRmzBhJ0h9//KFu3bqpcePGypcvnx4/fqzZs2fL1tZWDRs2fOXcmTNnVs+ePTVmzBjVqVNHNWrU0IEDB7Rq1SplypQpQXfIDR8+XGvXrlWlSpXUqVMnFShQQFeuXNHChQu1devWeKcQSOg12D///KOqVauqSZMmCggIULp06bR06VJdu3bNfB2WkOv258mXL58+/PBD7dq1S5kzZ9ZPP/2ka9euafr06S/c1s3NTaGhofrggw9UrFgxNWvWTF5eXjp//rx+//13lStXzlxc/u6771S+fHkVK1ZMnTp1Us6cOXX27Fn9/vvv2r9/f7z9v+yxDR06VOvWrVP58uXVpUsXpUuXTlOmTFF0dLRGjRr1wuNKSrlz59bQoUPVv39/nT17VvXq1ZOrq6vCwsK0dOlSderUSX369JGNjY1CQ0NVu3ZtBQUFqV27dsqSJYuOHz+uI0eOaM2aNXJzczPPI/vo0SP5+vpq7dq1CgsLe6PHlBQoiMJqJk+erOLFi2vKlCn63//+p3Tp0snf31+tWrVSuXLlJD0pnP7999+aP3++rl27Jnd3d5UsWVJz5861uJ1g2rRp6t69u3r16qWYmBgNGjTomQVRFxcXbdmyRYMGDdLSpUs1c+ZMeXt7q2rVqub5X5ycnLRp0yb169dPM2fOVGRkpN566y1Nnz5dbdu2TdLPITg4WGPGjNHYsWP1ySefqESJElqxYoU+/fRTi/U6d+6suXPnauzYsbp3756yZcumHj16aMCAAc/tf/DgwfLy8tKECRPUq1cvZciQQZ06ddLw4cNlZ2eXpMfysuzs7LR8+XLzXDyOjo6qX7++unXrFqcw2aBBA3Xv3l3z58/XnDlzZDKZEl0QXbZsmWbNmqUxY8Yof/785vaxY8dq3bp1atOmjXbt2pVsPh8AAAAASc/Z2VldunTR2rVrzU/izpMnjyZNmqSPP/5Y0pPb0oODg7V8+XJdunRJzs7OCgwM1KpVq8xP1n5VI0eOlLOzs6ZOnar169erTJkyWrt2rcqXL//C0X+S5Ovrq507d2rgwIGaO3euIiMj5evrq/fee898R+V/JfQazM/PT82bN9eGDRs0e/ZspUuXTvnz59cvv/xiLggn9Lr9WfLmzavvv/9en332mU6cOKGcOXNqwYIFCg4OTtDn16JFC2XNmlVff/21Ro8erejoaPn6+qpChQpq166deb3AwEDt2LFDAwcOVGhoqB4+fKgcOXKoSZMmz+z7ZY+tYMGC2rJli/r3768RI0bIaDSqVKlSmjNnjkqVKpWg40pK/fr1U758+fTtt9+an0Hi5+en6tWrq06dOub1goODtXHjRg0ZMkRjxoyR0WhU7ty51bFjR/M68+bNU/fu3TVx4kSZTCZVr15dq1atUtasWd/4cb0KgymxM/kCAAAAAADgtYmIiJCnp6eGDh2qL774wtpxXht/f38VKlRIK1assHYUpDHMIQoAAAAAAGAlDx48iNP2dE7GypUrv9kwQBrBLfMAAAAAAABWsmDBAs2YMUM1a9aUi4uLtm7dqp9//lnVq1c3TycHIGlREAUAAAAAALCSIkWKKF26dBo1apQiIyPND1oaOnSotaMBqRZziAIAAAAAAABIM5hDFAAAAAAAAECaQUEUAAAAAAAAQJrBHKLJmNFo1OXLl+Xq6iqDwWDtOABSCJPJpLt37ypr1qyyseF7L6Q8f/75p0aPHq09e/boypUrWrp0qerVq/fcbTZt2qTevXvryJEj8vPz04ABA9S2bdsE75NzLoCXwTkXqQHnXQApRVKedymIJmOXL1+Wn5+ftWMASKEuXLigbNmyWTsGkGj3799XYGCg2rdvrwYNGrxw/bCwMNWqVUsfffSR5s6dqw0bNqhDhw7KkiWLgoODE7RPzrkAXgXnXKRknHcBpDRJcd7loUrJ2J07d+Th4SH7gDYy2NpbOw6SmfObvrF2BCRTdyMjlSennyIiIuTu7m7tOMArMRgMLxyp0rdvX/3+++86fPiwua1Zs2aKiIjQ6tWr490mOjpa0dHR5vd37txR9uzZdf78eXVdeFz7L0Qk1SEASMU29Hhb+XLl5JyLVONNn3f/OROmqt/tSrL8AFKvon4emtA4v7Jnz54k511GiCZjT28dMNjaUxBFHG5ubtaOgGSO24+QVmzfvl3VqlWzaAsODtYnn3zyzG1GjBihIUOGxGm3c0qvg9djZOPgnNQxAaRCrq5P/j/GORdpSVKed11d3TjnAkiQA9djZOeUXlLSnHcpiAIAgBTt6tWrypw5s0Vb5syZFRkZqQcPHsjJySnONv3791fv3r3N7yMjI+Pcurd7QDU529u+ntAAUoVHD+5bOwLwxiXledfJzlZHv0zYbfYA0qaomFiVGLo+yfulIAoAANIcBwcHOTg4PHcdZ3tbOdvzXyUAzxb5kJGhQEI867xrMBg41wKwCh6FCAAAUjQfHx9du3bNou3atWtyc3OLd5QKAAB4eZx3AaQGFEQBAECKVqZMGW3YsMGibd26dSpTpoyVEgEAkHpx3gWQGlAQBQAAycq9e/e0f/9+7d+/X5IUFham/fv36/z585KezEPWunVr8/offfSRzpw5o88//1zHjx/XpEmT9Msvv6hXr17WiA8AQIrCeRdAWkRBFAAAJCu7d+9W0aJFVbRoUUlS7969VbRoUYWEhEiSrly5Yr5Ik6ScOXPq999/17p16xQYGKgxY8Zo2rRpCg7mIQ0AALwI510AaRGzFwMAgGSlcuXKMplMz1w+Y8aMeLfZt2/fa0wFAEDqxHkXQFrECFEAAAAAAAAAaQYFUQAAAAAAAABpBgVRAAAAAAAAAGkGc4gCAIAkc/78eZ07d05RUVHy8vJSwYIF5eDgYO1YAAAAAGBGQRQAALySs2fPKjQ0VPPnz9fFixctHsxgb2+vChUqqFOnTmrYsKFsbLg5BQAAAIB1cVUCAABeWo8ePRQYGKiwsDANHTpUR48e1Z07dxQTE6OrV69q5cqVKl++vEJCQlSkSBHt2rXL2pEBAAAApHGMEAUAAC8tffr0OnPmjDJmzBhnmbe3t9555x298847GjRokFavXq0LFy7o7bfftkJSAAAAAHiCgigAAHhpI0aMSPC6NWrUeI1JAAAAACBhuGUeAAAAAAAAQJpBQRQAALxWx44dU65cuawdAwAAAAAkURAFAACvWUxMjM6dO2ftGAAAAAAgiTlEAQDAK+rdu/dzl9+4ceMNJQEAAACAF6MgCgAAXsn48eMVFBQkNze3eJffu3fvDScCAAAAgGejIAoAAF5Jnjx51KtXL7Vq1Sre5fv371fx4sXfcCoAAAAAiB9ziAIAgFdSokQJ7dmz55nLDQaDTCbTG0wEAAAAAM/GCFEAAPBKxowZo+jo6GcuDwwMlNFofIOJAAAAAODZKIgCAIBX4uPjY+0IAAAAAJBg3DIPAAAAAAAAIM2gIAoAAAAAAAAgzaAgCgAAAAAAACDNoCAKAAAAAAAAIM2gIAoAAAAAAAAgzaAgCgAAksyff/6p3bt3W7Tt3r1bf/75p5USAQAAAICldNYOAAAAUo/KlSsrf/78Onr0qLntgw8+0D///KPY2FgrJgMAAACAJyiIAgCAJBMWFiY7OzuLtg0bNujRo0dWSgQAAAAAliiIAgCAJJMjR444bVmzZrVCEgAAAACIH3OIAgAAAAAAAEgzGCEKAABemqenpwwGQ4LWvXXr1mtOAwAAAAAvRkEUAAC8tHHjxlk7AgAAAAAkCgVRAADw0tq0aWPtCAAAAACQKMwhCgAAkszp06c1YMAANW/eXNevX5ckrVq1SkeOHLFyMgAAAAB4goIoAABIEps3b1bhwoW1c+dOLVmyRPfu3ZMkHThwQIMGDbJyOgAAAAB4goIoAABIEv369dPQoUO1bt062dvbm9vfeecd7dixw4rJAAAAAOD/UBAFAABJ4tChQ6pfv36cdm9vb928edMKiQAAAAAgLh6qBAAAkoSHh4euXLminDlzWrTv27dPvr6+VkoFAEDqFB0drZ07d+rcuXOKioqSl5eXihYtGuc8DACIi4IoAABIEs2aNVPfvn21cOFCGQwGGY1Gbdu2TX369FHr1q2tHQ8AgFRh27ZtGj9+vJYvX65Hjx7J3d1dTk5OunXrlqKjo5UrVy516tRJH330kVxdXa0dFwCSJW6ZBwAASWL48OHKnz+//Pz8dO/ePQUEBKhixYoqW7asBgwYYO14AACkeHXq1FHTpk3l7++vtWvX6u7duwoPD9fFixcVFRWlkydPasCAAdqwYYPy5cundevWWTsyACRLjBAFAABJwt7eXlOnTtXAgQN1+PBh3bt3T0WLFlXevHmtHQ0AgFShVq1aWrx4sezs7OJdnitXLuXKlUtt2rTR0aNHdeXKlTecEABSBgqiAAAgSWXPnl1+fn6SJIPBYOU0AACkHp07d07wugEBAQoICHiNaQAg5eKWeQAAkGR+/PFHFSpUSI6OjnJ0dFShQoU0bdo0a8cCAAAAADNGiAIAgCQREhKisWPHqnv37ipTpowkafv27erVq5fOnz+vL7/80soJAQBI/Q4cOKBixYopNjbW2lEAINmiIAoAAJJEaGiopk6dqubNm5vb6tSpoyJFiqh79+4URAEAeENMJpO1IwBAssYt8wAAIEk8evRIJUqUiNNevHhxPX78ONH9TZw4Uf7+/nJ0dFSpUqX0999/P3f9cePG6a233pKTk5P8/PzUq1cvPXz4MNH7BQAgOWvQoMFzX717936pObw57wJISyiIAgCAJPHBBx8oNDQ0TvsPP/ygli1bJqqvBQsWqHfv3ho0aJD27t2rwMBABQcH6/r16/GuP2/ePPXr10+DBg3SsWPH9OOPP2rBggX63//+91LHAgBAcrV8+XI9fPhQ7u7u8b5cXFwS3SfnXQBpDbfMAwCAl9a7d2/znw0Gg6ZNm6a1a9eqdOnSkqSdO3fq/Pnzat26daL6HTt2rDp27Kh27dpJkiZPnqzff/9dP/30k/r16xdn/b/++kvlypVTixYtJEn+/v5q3ry5du7cGW//0dHRio6ONr+PjIxMVD4AAKylQIECatiwoT788MN4l+/fv18rVqxIVJ+cdwGkNYwQBQAAL23fvn3m16FDh1S8eHF5eXnp9OnTOn36tDJlyqRixYrpyJEjCe4zJiZGe/bsUbVq1cxtNjY2qlatmrZv3x7vNmXLltWePXvMt/edOXNGK1euVM2aNeNdf8SIERajafz8/BJx1AAAWE/x4sW1d+/eZy53cHBQ9uzZE9wf510AaREjRAEAwEvbuHFjkvd58+ZNxcbGKnPmzBbtmTNn1vHjx+PdpkWLFrp586bKly8vk8mkx48f66OPPnrmrXv9+/e3GN0aGRnJxRkAIEWYPHnyc58gX6BAAYWFhSW4P867ANIiRogCAIAUb9OmTRo+fLgmTZqkvXv3asmSJfr999/11Vdfxbu+g4OD3NzcLF4AAKQEDg4OcnZ2tmoGzrsAUjpGiAIAgCSze/du/fLLLzp//rxiYmIsli1ZsiRBfWTKlEm2tra6du2aRfu1a9fk4+MT7zYDBw7UBx98oA4dOkiSChcurPv376tTp0764osvZGPDd8AAAMSH8y6AtIjfUgAAIEnMnz9fZcuW1bFjx7R06VI9evRIR44c0R9//CF3d/cE92Nvb6/ixYtrw4YN5jaj0agNGzaoTJky8W4TFRUV5+LL1tZWkmQymV7iaAAASBs47wJIixghCgAAksTw4cP17bffqmvXrnJ1ddX48eOVM2dOde7cWVmyZElUX71791abNm1UokQJlSxZUuPGjdP9+/fNT79t3bq1fH19NWLECElS7dq1NXbsWBUtWlSlSpXSqVOnNHDgQNWuXdt8gQYAAOLHeRdAWkNBFAAAJInTp0+rVq1akp6MNrl//74MBoN69eqld955R0OGDElwX02bNtWNGzcUEhKiq1evKigoSKtXrzY/8OH8+fMWI1MGDBggg8GgAQMG6NKlS/Ly8lLt2rU1bNiwpD1IAABSIc67ANIaCqJINmxsDOrXqaaa1Hhb3hnddPXmHc1bsVPf/LjavM7tXRPi3TZk/FJ9P2dDvMuQuk39ZbO+n7NB18MjVSivr0Z+1ljFC/pbOxaQJnl6euru3buSJF9fXx0+fFiFCxdWRESEoqKiEt1ft27d1K1bt3iXbdq0yeJ9unTpNGjQIA0aNCjR+wEAAJx3AaQtabYg2rZtW0VEROjXX3+1dhT8f5+0flftG1ZQl8GzdezMFRUtkF0TQlop8t4D/bBgsyTprRr9LbapVragvh/QQss27rdCYljbkrV7NGDcUo3t11TFC/lr8s8b1bD7RO1aFCKvDK7WjgekORUrVtS6detUuHBhNW7cWD179tQff/yhdevWqWrVqtaOBwBAqjNr1iy5u7urbt265rbffvtNd+7cUevWra2YDACStzRbEEXyU7JILq3cfFBrtx2RJF24cksNg0uoeMEc5nWuh9+12KZmxcLasuekzl0Kf6NZkTxMmveHWtcrq5Z1nkz2PrZ/M63ddkRzlm1Xr7bVrZwOSHsmTJighw8fSpK++OIL2dnZ6a+//lLDhg01YMAAK6cDACD1adu2rfLnz29REO3bt69OnjxJQRQAnoOCKJKNvw+eUZv65ZQ7u7dOn7+uQnl9VTowlwaMWxLv+l4ZXFW9fCF1GTz7DSdFchDz6LH2H79gUfi0sbFRpZJvadehMCsmA9KuDBkymP9sY2Ojfv36WTENAACpn9FojNN2/PhxKyQBgJTF5sWrpGyLFi1S4cKF5eTkpIwZM6patWq6f/++efk333yjLFmyKGPGjOratasePXpkXnb79m21bt1anp6ecnZ21nvvvaeTJ09a9L9161ZVqFBBTk5O8vPzU48ePSz6nzRpkvLmzStHR0dlzpxZjRo1embW6OhoRUZGWrzSkm9nrtOSdXv098IBur59vDbP6avJ8zdp4erd8a7fvFYp3bv/UMu5XT5NCo+4p9hYY5xb470yuOl6eNr6twNY03/PW897AQAAAEBykKpHiF65ckXNmzfXqFGjVL9+fd29e1dbtmyRyWSSJG3cuFFZsmTRxo0bderUKTVt2lRBQUHq2LGjpCe3H5w8eVLLli2Tm5ub+vbtq5o1a+ro0aOys7PT6dOnVaNGDQ0dOlQ//fSTbty4YZ6Ievr06dq9e7d69Oih2bNnq2zZsrp165a2bNnyzLwjRoxI1BN4U5v61YqpcY231XHATB0/c0WF8/lqeO9GunLjjub/vjPO+i3rlNbC1bsVHfPYCmkBAJLk4eEhg8Hw3HVMJpMMBoNiY2PfUCoAAFKnxHzB6Obm9hqTAEDKluoLoo8fP1aDBg2UI8eTeSgLFy5sXu7p6akJEybI1tZW+fPnV61atbRhwwZ17NjRXAjdtm2bypYtK0maO3eu/Pz89Ouvv6px48YaMWKEWrZsqU8++USSlDdvXn333XeqVKmSQkNDdf78eaVPn17vv/++XF1dlSNHDhUtWvSZefv376/evXub30dGRsrPz+81fDLJ05c962nc/x8lKklHT19WtiwZ1Kvtu3EKomWCciufv48+/N90a0RFMpDRw0W2tja6cctyXtkbtyLlnZH//AFvysaNG60dAQCANIMvIgEgaaTqgmhgYKCqVq2qwoULKzg4WNWrV1ejRo3k6ekpSSpYsKBsbW3N62fJkkWHDh2SJB07dkzp0qVTqVKlzMszZsyot956S8eOHZMkHThwQAcPHtTcuXPN65hMJhmNRoWFhendd99Vjhw5lCtXLtWoUUM1atRQ/fr15ezsHG9eBwcHOTg4JPnnkFI4OdjHmQPHaDTJxhB3ZodWdcto39HzOnzy0puKh2TG3i6dgvL7afOuE6pVOVDSkzmU/tz1jzo0rmjldEDaUalSJWtHAAAgzeCLSABIGqm6IGpra6t169bpr7/+0tq1a/X999/riy++0M6dT0Yb2tnZWaxvMBjinZT6We7du6fOnTurR48ecZZlz55d9vb22rt3rzZt2qS1a9cqJCREgwcP1q5du+Th4fFKx5Yard56SL3bBevi1ds6duaKiryVTV1aVNHcZTss1nNN76i6VYtq4LilVkqK5KJLi3fUZchsFS2QXcUK+iv05426/yBaLWuXtnY0AAAAIMnxRSQAJI1UXRCVnhQ5y5Urp3LlyikkJEQ5cuTQ0qUvLqQVKFBAjx8/1s6dO823zIeHh+vEiRMKCAiQJBUrVkxHjx5Vnjx5ntlPunTpVK1aNVWrVk2DBg2Sh4eH/vjjDzVo0CBpDjAV6Tt6of730fv6pm9TZfJ00dWbdzRjyTaNmrbKYr0G1YvLYDBo8Zr4H7aEtKNB9eK6GXFPw6f8ruvhd1U4n68WfdeVW+YBAACQJmzZskVTpkzRmTNntHDhQvn6+mr27NnKmTOnypcvb+14AJBspeqC6M6dO7VhwwZVr15d3t7e2rlzp27cuKECBQro4MGDz902b968qlu3rjp27KgpU6bI1dVV/fr1k6+vr+rWrStJ6tu3r0qXLq1u3bqpQ4cOSp8+vY4ePap169ZpwoQJWrFihc6cOaOKFSvK09NTK1eulNFo1FtvvfUmDj/FuRcVrf+NXaz/jV383PVmLt2mmUu3vaFUSO46NamkTk34phwAAABpy+LFi/XBBx+oZcuW2rt3r6KjoyVJd+7c0fDhw7Vy5UorJwSA5Cvu5IypiJubm/7880/VrFlT+fLl04ABAzRmzBi99957Cdp++vTpKl68uN5//32VKVNGJpNJK1euNN9qX6RIEW3evFn//POPKlSooKJFiyokJERZs2aV9GTC6yVLluidd95RgQIFNHnyZP38888qWLDgaztmAAAAAEDqN3ToUE2ePFlTp061mA6uXLly2rt3rxWTAUDyl6pHiBYoUECrV6+Od9mMGTPitI0bN87ivaenp2bNmvXcfbz99ttau3ZtvMvKly+vTZs2JSQqAACpwuPHj7Vp0yadPn1aLVq0kKurqy5fviw3Nze5uLhYOx4AAKnGiRMnVLFi3IeJuru7KyIi4s0HAoAUJFUXRAEAwJtz7tw51ahRQ+fPn1d0dLTeffddubq6auTIkYqOjtbkyZOtHREAgFTDx8dHp06dkr+/v0X71q1blStXLuuEAoAUIlXfMg8AAN6cnj17qkSJErp9+7acnJzM7fXr19eGDRusmAwAgNSnY8eO6tmzp3bu3CmDwaDLly9r7ty56tOnjz7++GNrxwOAZI0RogAAIEls2bJFf/31l+zt7S3a/f39denSJSulAgAgderXr5+MRqOqVq2qqKgoVaxYUQ4ODurTp4+6d+9u7XgAkKxREAUAAEnCaDQqNjY2TvvFixfl6upqhUQAAKReBoNBX3zxhT777DOdOnVK9+7dU0BAAHN2A0ACcMs8AABIEtWrV7d4QKHBYNC9e/c0aNAg1axZ03rBAABIxezt7eXq6qosWbJQDAWABKIgCgAAksSYMWO0bds2BQQE6OHDh2rRooX5dvmRI0daOx4AAKnK48ePNXDgQLm7u8vf31/+/v5yd3fXgAED9OjRI2vHA4BkjVvmAQBAksiWLZsOHDig+fPn6+DBg7p3754+/PBDtWzZ0uIhSwAA4NV1795dS5Ys0ahRo1SmTBlJ0vbt2zV48GCFh4crNDTUygkBIPmiIAoAAJLEw4cP5ejoqFatWlk7CgAAqd68efM0f/58vffee+a2IkWKyM/PT82bN6cgCgDPwS3zAAAgSXh7e6tNmzZat26djEajteMAAJCqOTg4yN/fP057zpw5ZW9v/+YDAUAKQkEUAAAkiZkzZyoqKkp169aVr6+vPvnkE+3evdvasQAASJW6deumr776StHR0ea26OhoDRs2TN26dbNiMgBI/rhlHgAAJIn69eurfv36unv3rhYtWqSff/5ZpUuXVq5cudSqVSuFhIRYOyIAAClagwYNLN6vX79e2bJlU2BgoCTpwIEDiomJUdWqVa0RDwBSDAqiAAAgSbm6uqpdu3Zq166djh49qpYtW2rIkCEURAEAeEXu7u4W7xs2bGjx3s/P703GAYAUi4IoAABIUg8fPtSyZcs0b948rV69WpkzZ9Znn31m7VgAAKR406dPt3YEAEgVKIgCAIAksWbNGs2bN0+//vqr0qVLp0aNGmnt2rWqWLGitaMBAAAAgBkFUQAAkCTq16+v999/X7NmzVLNmjVlZ2dn7UgAAKRqixYt0i+//KLz588rJibGYtnevXutlAoAkj+eMg8AAJLEtWvX9Msvv6hu3boUQwEAeM2+++47tWvXTpkzZ9a+fftUsmRJZcyYUWfOnNF7771n7XgAkKwxQhQAALy0yMhIubm5SZJMJpMiIyOfue7T9QAAwKubNGmSfvjhBzVv3lwzZszQ559/rly5cikkJES3bt2ydjwASNYoiAIAgJfm6empK1euyNvbWx4eHjIYDHHWMZlMMhgMio2NtUJCAABSp/Pnz6ts2bKSJCcnJ929e1eS9MEHH6h06dKaMGGCNeMBQLJGQRQAALy0P/74QxkyZJAkbdy40cppAABIO3x8fHTr1i3lyJFD2bNn144dOxQYGKiwsDCZTCZrxwOAZI2CKAAAeGmVKlUy/zlnzpzy8/OLM0rUZDLpwoULbzoaAACp2jvvvKNly5apaNGiateunXr16qVFixZp9+7datCggbXjAUCyRkEUAAAkiZw5c5pvn/+3W7duKWfOnNwyDwBAEvrhhx9kNBolSV27dlXGjBn1119/qU6dOurcubOV0wFA8kZBFAAAJImnc4X+17179+To6GiFRAAApF42NjaysbExv2/WrJmaNWtmxUQAkHJQEAUAAK+kd+/ekiSDwaCBAwfK2dnZvCw2NlY7d+5UUFCQldIBAJB6HDx4MMHrFilS5DUmAYCUjYIoAAB4Jfv27ZP0ZITooUOHZG9vb15mb2+vwMBA9enTx1rxAABINYKCgmQwGF740CSDwcBUNQDwHBREAQDAK3n6dPl27dpp/PjxcnNzs3IiAABSp7CwMGtHAIBUgYIoAABIEtOnT7d2BAAAUrUcOXJYOwIApAoURAEAwEtr0KCBZsyYITc3NzVo0OC56y5ZsuQNpQIAAACAZ6MgCgAAXpq7u7v5yfLu7u5WTgMAAAAAL0ZBFAAAvLR/3ybPLfMAAAAAUoIEFUSXLVuW4A7r1Knz0mEAAEDK9eDBA5lMJjk7O0uSzp07p6VLlyogIEDVq1e3cjoAAAAAeMImISvVq1cvQa/69eu/7rwAACCZqlu3rmbNmiVJioiIUMmSJTVmzBjVrVtXoaGhie5v4sSJ8vf3l6Ojo0qVKqW///77uetHRESoa9euypIlixwcHJQvXz6tXLnypY4FAICUICIiQtOmTVP//v1169YtSdLevXt16dKlRPfFeRdAWpKggqjRaEzQKzY29nXnBQAAydTevXtVoUIFSdKiRYvk4+Ojc+fOadasWfruu+8S1deCBQvUu3dvDRo0SHv37lVgYKCCg4N1/fr1eNePiYnRu+++q7Nnz2rRokU6ceKEpk6dKl9f31c+LgAAkqODBw8qX758GjlypL755htFRERIevIQw/79+yeqL867ANKaBBVEn+Xhw4dJlQMAAKRwUVFRcnV1lSStXbtWDRo0kI2NjUqXLq1z584lqq+xY8eqY8eOateunQICAjR58mQ5Ozvrp59+inf9n376Sbdu3dKvv/6qcuXKyd/fX5UqVVJgYOArHxcAAMlR79691bZtW508eVKOjo7m9po1a+rPP/9MVF+cdwGkNYkuiMbGxuqrr76Sr6+vXFxcdObMGUnSwIED9eOPPyZ5QAAAkDLkyZNHv/76qy5cuKA1a9aY5w29fv263NzcEtxPTEyM9uzZo2rVqpnbbGxsVK1aNW3fvj3ebZYtW6YyZcqoa9euypw5swoVKqThw4c/8+6V6OhoRUZGWrwAAEhJdu3apc6dO8dp9/X11dWrVxPcD+ddAGlRoguiw4YN04wZMzRq1CjZ29ub2wsVKqRp06YlaTgAAJByhISEqE+fPvL391fJkiVVpkwZSU9GixYtWjTB/dy8eVOxsbHKnDmzRXvmzJmfeYF35swZLVq0SLGxsVq5cqUGDhyoMWPGaOjQofGuP2LECLm7u5tffn5+Cc4HAEBy4ODgEG9h8Z9//pGXl1eC++G8CyAtSnRBdNasWfrhhx/UsmVL2dramtsDAwN1/PjxJA0HAABSjkaNGun8+fPavXu31qxZY26vWrWqvv3229e6b6PRKG9vb/3www8qXry4mjZtqi+++EKTJ0+Od/3+/fvrzp075teFCxdeaz4AAJJanTp19OWXX+rRo0eSJIPBoPPnz6tv375q2LDha903510AKV26xG5w6dIl5cmTJ0670Wg0/yIGAABpk4+Pj3x8fHTx4kVJUrZs2VSyZMlE9ZEpUybZ2trq2rVrFu3Xrl2Tj49PvNtkyZJFdnZ2Fl/WFihQQFevXlVMTIzFXS3Sk1E1Dg4OicoFAEByMmbMGDVq1Eje3t568OCBKlWqpKtXr6pMmTIaNmxYgvvhvAsgLUr0CNGAgABt2bIlTvuiRYsSdTscAABIXYxGo7788ku5u7srR44cypEjhzw8PPTVV1/JaDQmuB97e3sVL15cGzZssOh7w4YN5tvw/6tcuXI6deqUxX7++ecfZcmSJc5FGQAAqYG7u7vWrVun5cuX67vvvlO3bt20cuVKbd68WenTp09wP5x3AaRFiR4hGhISojZt2ujSpUsyGo1asmSJTpw4oVmzZmnFihWvIyMAAEgBvvjiC/3444/6+uuvVa5cOUnS1q1bNXjwYD18+DBRo1V69+6tNm3aqESJEipZsqTGjRun+/fvq127dpKk1q1by9fXVyNGjJAkffzxx5owYYJ69uyp7t276+TJkxo+fLh69OiR9AcKAEAycOHCBfn5+al8+fIqX778K/XFeRdAWpPogmjdunW1fPlyffnll0qfPr1CQkJUrFgxLV++XO++++7ryAgAAFKAmTNnatq0aapTp465rUiRIvL19VWXLl0SVRBt2rSpbty4oZCQEF29elVBQUFavXq1+YEP58+fl43N/93o4ufnpzVr1qhXr17mffbs2VN9+/ZNugMEACAZ8ff3V/ny5dWqVSs1atRInp6eL90X510AaY3BZDKZrB0C8YuMjJS7u7scCneUwZbbDmDp9q4J1o6AZCoyMlKZM7rrzp07cnNzs3YcpCGOjo46ePCg8uXLZ9F+4sQJBQUF6cGDB1ZK9mJPz7lXboSr9DfbJUlHvwyWs32ivzsGkIY8/d3BORfWsG/fPs2bN0/z58/XjRs3VKNGDbVq1Uq1a9dO9vN18m8HQEJFxTxWQMiTB7bu6FNGWbwyJsnvjkTPIfrU7t27NXv2bM2ePVt79ux5pRAAACDlCwwM1IQJcb+smTBhggIDA62QCACA1Kto0aIaPXq0zp8/r1WrVsnLy0udOnVS5syZ1b59e2vHA4BkLdHDHi5evKjmzZtr27Zt8vDwkCRFRESobNmymj9/vrJly5bUGQEAQAowatQo1apVS+vXrzc/hGH79u26cOGCVq5caeV0AACkTgaDQVWqVFGVKlX08ccf68MPP9TMmTP1008/WTsaACRbiR4h2qFDBz169EjHjh3TrVu3dOvWLR07dkxGo1EdOnR4HRkBAEAKUKlSJf3zzz9q0KCBIiIiFBERoQYNGujEiROqUKGCteMBAJAqXbx4UaNGjVJQUJBKliwpFxcXTZw40dqxACBZS/QI0c2bN+uvv/7SW2+9ZW5766239P3333OxAwBAGnX27FmtW7dOMTExatasmQoVKmTtSAAApGpTpkzRvHnztG3bNuXPn18tW7bUb7/9phw5clg7GgAke4kuiPr5+enRo0dx2mNjY5U1a9YkCQUAAFKOjRs36v333zc/NCldunT66aef1KpVKysnAwAg9Ro6dKiaN2+u7777jrm6ASCREn3L/OjRo9W9e3ft3r3b3LZ792717NlT33zzTZKGAwAAyd/AgQP17rvv6tKlSwoPD1fHjh31+eefWzsWAACp2vnz5zVq1CiKoQDwEhI0QtTT01MGg8H8/v79+ypVqpTSpXuy+ePHj5UuXTq1b99e9erVey1BAQBA8nT48GH99ddfypIli6QnX55OmTJF4eHhypgxo5XTAQCQehw8eFCFChWSjY2NDh069Nx1ixQp8oZSAUDKk6CC6Lhx415zDAAAkFJFRkYqU6ZM5vfOzs5ycnLSnTt3KIgCAJCEgoKCdPXqVXl7eysoKEgGg0Emk8m8/Ol7g8Gg2NhYKyYFgOQtQQXRNm3avO4cAAAgBVuzZo3c3d3N741GozZs2KDDhw+b2+rUqWONaAAApBphYWHy8vIy/xkA8HIS/VClf3v48KFiYmIs2tzc3F4pEAAASHni+/K0c+fO5j8zUgUAgFf37yfInzt3TmXLljVPZffU48eP9ddff/G0eQB4jkQ/VOn+/fvq1q2bvL29lT59enl6elq8AABA2mI0Gl/4ohgKAEDSqlKlim7duhWn/c6dO6pSpYoVEgFAypHogujnn3+uP/74Q6GhoXJwcNC0adM0ZMgQZc2aVbNmzXodGQEAAAAAwL88nSv0v8LDw5U+fXorJAKAlCPRt8wvX75cs2bNUuXKldWuXTtVqFBBefLkUY4cOTR37ly1bNnydeQEAADJ0I4dO1S6dOkErRsVFaWwsDAVLFjwNacCACD1atCggaQn09G0bdtWDg4O5mWxsbE6ePCgypYta614AJAiJHqE6K1bt5QrVy5JT+YLfTpEv3z58vrzzz+TNh0AAEjWPvjgAwUHB2vhwoW6f/9+vOscPXpU//vf/5Q7d27t2bPnDScEACB1cXd3l7u7u0wmk1xdXc3v3d3d5ePjo06dOmnOnDnWjgkAyVqiR4jmypVLYWFhyp49u/Lnz69ffvlFJUuW1PLly+Xh4fEaIgIAgOTq6NGjCg0N1YABA9SiRQvly5dPWbNmlaOjo27fvq3jx4/r3r17ql+/vtauXavChQtbOzIAACna9OnTJUn+/v7q06cPt8cDwEtIdEG0Xbt2OnDggCpVqqR+/fqpdu3amjBhgh49eqSxY8e+jowAACCZsrOzU48ePdSjRw/t3r1bW7du1blz5/TgwQMFBgaqV69eqlKlijJkyGDtqAAApCqDBg2ydgQASLESXRDt1auX+c/VqlXT8ePHtWfPHuXJk0dFihRJ0nAAACDlKFGihEqUKGHtGAAApFrFihXThg0b5OnpqaJFi8b7UKWn9u7d+waTAUDKkuiC6H/lyJFDOXLkSIosAAAAAADgGerWrWt+iFK9evWsGwYAUrAEFUS/++67BHfYo0ePlw4DAAAAAADi9+/b5LllHgBeXoIKot9++22COjMYDBREX4Pzm76Rm5ubtWMgmZmz55y1IyCZenD/rrUjAAAA4DW7cOGCDAaDsmXLJkn6+++/NW/ePAUEBKhTp05WTgcAyVuCCqJhYWGvOwcAAAAAAEigFi1aqFOnTvrggw909epVVatWTYUKFdLcuXN19epVhYSEWDsiACRbNtYOAAAAUp+HDx9aOwIAAKna4cOHVbJkSUnSL7/8osKFC+uvv/7S3LlzNWPGDOuGA4BkjoIoAABIEkajUV999ZV8fX3l4uKiM2fOSJIGDhyoH3/80crpAABIXR49emR+wNL69etVp04dSVL+/Pl15coVa0YDgGSPgigAAEgSQ4cO1YwZMzRq1CjZ29ub2wsVKqRp06ZZMRkAAKlPwYIFNXnyZG3ZskXr1q1TjRo1JEmXL19WxowZrZwOAJI3CqIAACBJzJo1Sz/88INatmwpW1tbc3tgYKCOHz9uxWQAAKQ+I0eO1JQpU1S5cmU1b95cgYGBkqRly5aZb6UHAMQvQQ9VAgAAeJFLly4pT548cdqNRqMePXpkhUQAAKRelStX1s2bNxUZGSlPT09ze6dOneTs7GzFZACQ/L3UCNEtW7aoVatWKlOmjC5duiRJmj17trZu3Zqk4QAAQMoREBCgLVu2xGlftGiRihYtaoVEAACkbra2tnr8+LG2bt2qrVu36saNG/L395e3t7e1owFAspboEaKLFy/WBx98oJYtW2rfvn2Kjo6WJN25c0fDhw/XypUrkzwkAABI/kJCQtSmTRtdunRJRqNRS5Ys0YkTJzRr1iytWLHC2vEAAEhV7t+/r+7du2vWrFkyGo2SnhRIW7dure+//55RogDwHIkeITp06FBNnjxZU6dOlZ2dnbm9XLly2rt3b5KGAwAAKUfdunW1fPlyrV+/XunTp1dISIiOHTum5cuX691337V2PAAAUpXevXtr8+bNWr58uSIiIhQREaHffvtNmzdv1qeffmrteACQrCV6hOiJEydUsWLFOO3u7u6KiIhIikwAACCFqlChgtatW2ftGAAApHqLFy/WokWLVLlyZXNbzZo15eTkpCZNmig0NNR64QAgmUv0CFEfHx+dOnUqTvvWrVuVK1euJAkFAABSnly5cik8PDxOe0REBP9HAAAgiUVFRSlz5sxx2r29vRUVFWWFRACQciS6INqxY0f17NlTO3fulMFg0OXLlzV37lz16dNHH3/88evICAAAUoCzZ88qNjY2Tnt0dLT5IYwAACBplClTRoMGDdLDhw/NbQ8ePNCQIUNUpkwZKyYDgOQv0bfM9+vXT0ajUVWrVlVUVJQqVqwoBwcH9enTR927d38dGQEAQDK2bNky85/XrFkjd3d38/vY2Fht2LBB/v7+VkgGAEDqNW7cOAUHBytbtmwKDAyUJB04cECOjo5as2aNldMBQPKW6IKowWDQF198oc8++0ynTp3SvXv3FBAQIBcXl9eRDwAAJHP16tWT9OT/CG3atLFYZmdnJ39/f40ZM8YKyQAASL0KFy6sU6dOad68eTp27JgkqXnz5mrZsqWcnJysnA4AkrdEF0Sfsre3V0BAQFJmAQAAKZDRaJQk5cyZU7t27VKmTJmsnAgAgNRtx44dWr58uWJiYvTOO++oQ4cO1o4EAClKoguiVapUkcFgeObyP/7445UCAQCAlCksLMzaEQAASPUWLVqkpk2bysnJSXZ2dho7dqxGjhypPn36WDsaAKQYiS6IBgUFWbx/9OiR9u/fr8OHD8e5TQ4AAKQt9+/f1+bNm3X+/HnFxMRYLOvRo4eVUgEAkHqMGDFCHTt21MSJE2Vra6sRI0Zo+PDhFEQBIBESXRD99ttv420fPHiw7t2798qBAABAyrRv3z7VrFlTUVFRun//vjJkyKCbN2/K2dlZ3t7eFEQBAEgCJ06c0IIFC2RraytJ+vTTTxUSEqLr16/L29vbyukAIGWwSaqOWrVqpZ9++impugMAAClMr169VLt2bd2+fVtOTk7asWOHzp07p+LFi+ubb76xdjwAAFKFqKgoubm5md/b29vL0dGRAUoAkAgv/VCl/9q+fbscHR2TqjsAAJDC7N+/X1OmTJGNjY1sbW0VHR2tXLlyadSoUWrTpo0aNGhg7YgAAKQK06ZNk4uLi/n948ePNWPGDIsHG3JnBgA8W6ILov+9mDGZTLpy5Yp2796tgQMHJlkwAACQstjZ2cnG5snNJ97e3jp//rwKFCggd3d3XbhwwcrpAABIHbJnz66pU6datPn4+Gj27Nnm9waDgYIoADxHogui7u7uFu9tbGz01ltv6csvv1T16tWTLBgAAEhZihYtql27dilv3ryqVKmSQkJCdPPmTc2ePVuFChWydjwAAFKFs2fPWjsCAKR4iZpDNDY2Vu3atdPYsWM1ffp0TZ8+XT/++KO+/vpriqEAAKRxw4cPV5YsWSRJw4YNk6enpz7++GPduHFDU6ZMSXR/EydOlL+/vxwdHVWqVCn9/fffCdpu/vz5MhgMqlevXqL3CQBAWsV5F0BakqiCqK2trapXr66IiIjXFAcAAKRUJUqUUJUqVSQ9uWV+9erVioyM1J49exQUFJSovhYsWKDevXtr0KBB2rt3rwIDAxUcHKzr168/d7uzZ8+qT58+qlChwsseBgAAydb8+fMTvO6FCxe0bdu2BK3LeRdAWpPop8wXKlRIZ86ceR1ZAABAKrR37169//77idpm7Nix6tixo9q1a6eAgABNnjxZzs7O+umnn565TWxsrFq2bKkhQ4YoV65crxobAIBkJzQ0VAUKFNCoUaN07NixOMvv3LmjlStXqkWLFipWrJjCw8MT1C/nXQBpTaILokOHDlWfPn20YsUKXblyRZGRkRYvAACQ9qxZs0Z9+vTR//73P/MXp8ePH1e9evX09ttvy2g0JrivmJgY7dmzR9WqVTO32djYqFq1atq+ffszt/vyyy/l7e2tDz/88IX7iI6O5v8wAIAUZ/PmzRo5cqTWrVunQoUKyc3NTXnz5lXhwoWVLVs2ZcyYUe3bt1f27Nl1+PBh1alT54V9ct4FkBYl+KFKX375pT799FPVrFlTklSnTh0ZDAbzcpPJJIPBoNjY2KRPCQAAkq0ff/xRHTt2VIYMGXT79m1NmzZNY8eOVffu3dW0aVMdPnxYBQoUSHB/N2/eVGxsrDJnzmzRnjlzZh0/fjzebbZu3aoff/xR+/fvT9A+RowYoSFDhiQ4EwAAyUWdOnVUp04d3bx5U1u3btW5c+f04MEDZcqUSUWLFlXRokVlY5PwsU+cdwGkRQkuiA4ZMkQfffSRNm7c+DrzAACAFGb8+PEaOXKkPvvsMy1evFiNGzfWpEmTdOjQIWXLlu217//u3bv64IMPNHXqVGXKlClB2/Tv31+9e/c2v4+MjJSfn9/riggAQJLLlCmTVR5kxHkXQGqQ4IKoyWSSJFWqVOm1hQEAACnP6dOn1bhxY0lSgwYNlC5dOo0ePfqli6GZMmWSra2trl27ZtF+7do1+fj4xLv/s2fPqnbt2ua2p7fop0uXTidOnFDu3LkttnFwcJCDg8NL5QMAIDXhvAsgLUrUHKL/vkUeAABAkh48eCBnZ2dJT/6v4ODgoCxZsrx0f/b29ipevLg2bNhgbjMajdqwYYPKlCkTZ/38+fPr0KFD2r9/v/lVp04dValSRfv372cECgAAz8F5F0BalOARopKUL1++FxZFb9269UqBAABAyjNt2jS5uLhIkh4/fqwZM2bEuY2uR48eCe6vd+/eatOmjUqUKKGSJUtq3Lhxun//vtq1aydJat26tXx9fTVixAg5OjqqUKFCFtt7eHhIUpx2AAAQF+ddAGlNogqiQ4YMkbu7++vKAgAAUqDs2bNr6tSp5vc+Pj6aPXu2xToGgyFRBdGmTZvqxo0bCgkJ0dWrVxUUFKTVq1ebH/hw/vz5RD0wAgAAPBvnXQBpjcH0dHLQF7CxsdHVq1fl7e39ujPh/4uMjJS7u7uuhd+Rm5ubteMgmZmz55y1IyCZenD/rnpULaw7d/jdASTU03PulRvhKv3NdknS0S+D5WyfqO+OAaQxT393cM4FEod/OwASKirmsQJC1kiSdvQpoyxeGZPkd0eC/5fP/KEAAAAAACQPsbGxmjFjhjZs2KDr16+bH2z01B9//GGlZACQ/CX6KfMAAAAAAMC6evbsqRkzZqhWrVoqVKgQg5gAIBESXBD977dNAAAAAADAOubPn69ffvlFNWvWtHYUAEhxmBUZAAAAAIAUxt7eXnny5LF2DABIkSiIAgAAAACQwnz66acaP34809sBwEvg0akAACDJnD59WtOnT9fp06c1fvx4eXt7a9WqVcqePbsKFixo7XgAAKQaW7du1caNG7Vq1SoVLFhQdnZ2FsuXLFlipWQAkPwxQhQAACSJzZs3q3Dhwtq5c6eWLFmie/fuSZIOHDigQYMGWTkdAACpi4eHh+rXr69KlSopU6ZMcnd3t3gBAJ6NEaIAACBJ9OvXT0OHDlXv3r3l6upqbn/nnXc0YcIEKyYDACD1mT59urUjAECKRUEUAAAkiUOHDmnevHlx2r29vXXz5k0rJAIAIPW7ceOGTpw4IUl666235OXlZeVEAJD8ccs8AABIEh4eHrpy5Uqc9n379snX19cKiQAASL3u37+v9u3bK0uWLKpYsaIqVqyorFmz6sMPP1RUVJS14wFAskZBFAAAJIlmzZqpb9++unr1qgwGg4xGo7Zt26Y+ffqodevW1o4HAECq0rt3b23evFnLly9XRESEIiIi9Ntvv2nz5s369NNPrR0PAJI1bpkHAABJYvjw4eratav8/PwUGxurgIAAxcbGqkWLFhowYIC14wEAkKosXrxYixYtUuXKlc1tNWvWlJOTk5o0aaLQ0FDrhQOAZI6CKAAASBL29vaaOnWqBg4cqMOHD+vevXsqWrSo8ubNa+1oAACkOlFRUcqcOXOcdm9vb26ZB4AXoCAKAACSxNatW1W+fHllz55d2bNnt3YcAABStTJlymjQoEGaNWuWHB0dJUkPHjzQkCFDVKZMGSunA4DkjYIoAABIEu+88458fX3VvHlztWrVSgEBAdaOBABAqjV+/HgFBwcrW7ZsCgwMlCQdOHBAjo6OWrNmjZXTAUDyxkOVAABAkrh8+bI+/fRTbd68WYUKFVJQUJBGjx6tixcvWjsaAACpTqFChXTy5EmNGDFCQUFBCgoK0tdff62TJ0+qYMGC1o4HAMkaI0QBAECSyJQpk7p166Zu3bopLCxM8+bN08yZM9W/f39VrFhRf/zxh7UjAgCQqjg7O6tjx47WjgEAKQ4FUQAAkORy5sypfv36KTAwUAMHDtTmzZutHQkAgBRv2bJleu+992RnZ6dly5Y9d906deq8oVQAkPJQEAUAAElq27Ztmjt3rhYtWqSHDx+qbt26GjFihLVjAQCQ4tWrV09Xr16Vt7e36tWr98z1DAaDYmNj31wwAEhhKIgCAIAk0b9/f82fP1+XL1/Wu+++q/Hjx6tu3bpydna2djQAAFIFo9EY758BAIlDQRQAACSJP//8U5999pmaNGmiTJkyWTsOAABpTkREhDw8PKwdAwCSPZ4yDwAAksS2bdvUpUsXiqEAALwBI0eO1IIFC8zvGzdurAwZMsjX11cHDhywYjIASP4YIQoAAF4aD3cAAMA6Jk+erLlz50qS1q1bp/Xr12v16tX65Zdf9Nlnn2nt2rVWTggAyRcFUQAA8NJ4uAMAANZx9epV+fn5SZJWrFihJk2aqHr16vL391epUqWsnA4AkjdumQcAAC/NaDTK29vb/OdnvSiGAgCQtDw9PXXhwgVJ0urVq1WtWjVJkslk4rwLAC9AQRQAACSJWbNmKTo6Ok57TEyMZs2aZYVEAACkXg0aNFCLFi307rvvKjw8XO+9954kad++fcqTJ4+V0wFA8kZBFAAAJIl27drpzp07cdrv3r2rdu3aWSERAACp17fffqtu3bopICBA69atk4uLiyTpypUr6tKli5XTAUDyxhyiAAAgSZhMJhkMhjjtFy9elLu7uxUSAQCQetnZ2alPnz5x2nv16mWFNADwejjZ2erol8GSpEcP7idZvxREAQDAKylatKgMBoMMBoOqVq2qdOn+778XsbGxCgsLU40aNayYEACA1GHZsmV67733ZGdnp2XLlj133Tp16ryhVADw+hgMBjnbP7m+iHwYd/DFy0qTBdEZM2bok08+UUREhLWjIIGm/rJZ38/ZoOvhkSqU11cjP2us4gX9rR0Lb9CWzfu09c/9uhUeKUnyyZJRNWqVVcFCuSRJ8+eu0Ylj53Tnzn05ONgpZy5f1WlQUT4+Ga0ZG0gTnj5dfv/+/QoODjbfsidJ9vb28vf3V8OGDa2UDgCA1KNevXq6evWqvL29zeff+BgMBh6sBADPkSYLokhZlqzdowHjlmpsv6YqXshfk3/eqIbdJ2rXohB5ZXC1djy8IR6erqpTr5K8vD0lmbRz+xFNDV2qvl+0UZasmeSX3UclSgbI09NNUVEPtXLFNk0av1CDh3WSjQ3TJQOv06BBgyRJ/v7+atq0qRwdHa2cCACA1MloNMb7ZwBA4lAlQLI3ad4fal2vrFrWKaP8ubJobP9mcna015xl260dDW9Q4SJ5VLBwLnln9pR35gyqXa+CHBzsdTbssiSpXIVA5cnrp4yZ3OWXPbPer1Net2/fVXh43Ae8AHg92rRpQzEUAAAAQLJn1YJo5cqV1aNHD33++efKkCGDfHx8NHjwYPPy8+fPq27dunJxcZGbm5uaNGmia9euJajvAwcOqEqVKnJ1dZWbm5uKFy+u3bt3W6yzZs0aFShQQC4uLqpRo4auXLliXmY0GvXll18qW7ZscnBwUFBQkFavXm2x/YULF9SkSRN5eHgoQ4YMqlu3rs6ePWtevmnTJpUsWVLp06eXh4eHypUrp3PnziX+g0rDYh491v7jF1S55FvmNhsbG1Uq+ZZ2HQqzYjJYk9Fo1J5dxxQT80j+ObPGWR4dHaMdfx1Wxkzu8vR0s0JCIO3IkCGDbt68KUny9PRUhgwZnvkCAABJp0ePHvruu+/itE+YMEGffPLJmw8EACmI1W+Znzlzpnr37q2dO3dq+/btatu2rcqVK6eqVauai6GbN2/W48eP1bVrVzVt2lSbNm16Yb8tW7ZU0aJFFRoaKltbW+3fv192dnbm5VFRUfrmm280e/Zs2djYqFWrVurTp4/mzp0rSRo/frzGjBmjKVOmqGjRovrpp59Up04dHTlyRHnz5tWjR48UHBysMmXKaMuWLUqXLp2GDh2qGjVq6ODBg7KxsVG9evXUsWNH/fzzz4qJidHff/8d79N3n4qOjlZ0dLT5fWRk5Mt/sKlEeMQ9xcYa49wa75XBTSfPJqw4jtTj8qUbGjNqrh4/eiwHB3t16FxPWbJmMi//c9M+/bZ0s2KiH8k7cwZ17dlY6dLZWjExkPp9++23cnV1Nf/5eec5AACQdBYvXhzvg5XKli2rr7/+WuPGjXvzoQAghbB6QbRIkSLmucfy5s2rCRMmaMOGDZKkQ4cOKSwsTH5+fpKkWbNmqWDBgtq1a5fefvvt5/Z7/vx5ffbZZ8qfP7+573979OiRJk+erNy5c0uSunXrpi+//NK8/JtvvlHfvn3VrFkzSdLIkSO1ceNGjRs3ThMnTtSCBQtkNBo1bdo088Xf9OnT5eHhoU2bNqlEiRK6c+eO3n//ffM+ChQo8NzMI0aM0JAhQ178oQFplHfmDOr3RRs9eBCt/Xv/0ZyZK9WjdzNzUfTtUgHKX8BfkZH3tGHdLk2fuly9PmshOzur/6oDUq02bdqY/9y2bVvrBQEAII0JDw+Xu7t7nHY3Nzfz3RsAgPhZfQ7RIkWKWLzPkiWLrl+/rmPHjsnPz89cDJWkgIAAeXh46NixYy/st3fv3urQoYOqVaumr7/+WqdPn7ZY7uzsbC5U/nu/0pORmZcvX1a5cuUstilXrpx53wcOHNCpU6fk6uoqFxcXubi4KEOGDHr48KFOnz6tDBkyqG3btgoODlbt2rU1fvx4i1vy49O/f3/duXPH/Lpw4cILjzO1y+jhIltbG924ddei/catSHln5FbotCZdOlt5eXsqew4f1alfUVmzeWnzxj3m5U5ODvLO7Kk8ef30Yae6unb1lg7sP2nFxEDasnfvXh06dMj8/rffflO9evX0v//9TzExMVZMBgBA6pMnT54407pJ0qpVq5QrVy4rJAKAlMPqBdF/38YuSQaDIUmeljd48GAdOXJEtWrV0h9//KGAgAAtXbr0ufs1mUwJ7v/evXsqXry49u/fb/H6559/1KJFC0lPRoxu375dZcuW1YIFC5QvXz7t2LHjmX06ODjIzc3N4pXW2dulU1B+P23edcLcZjQa9eeuf/R24ZxWTIbkwGSSHj2KfcYyk0wmkx4/YzmApNe5c2f9888/kqQzZ86oadOmcnZ21sKFC/X5559bOR0AAKlL79699fnnn2vQoEHavHmzNm/erJCQEPXr10+9evWydjwASNaS7X2kBQoU0IULF3ThwgXzKNGjR48qIiJCAQEBCeojX758ypcvn3r16qXmzZtr+vTpql+//gu3c3NzU9asWbVt2zZVqlTJ3L5t2zaVLFlSklSsWDEtWLBA3t7ezy1cFi1aVEWLFlX//v1VpkwZzZs3T6VLl05QfjzRpcU76jJktooWyK5iBf0V+vNG3X8QrZa1+RzTkmVL/1RAoZzy9HRTdHSMdv99TKf+Oa8u3Rvr5o0I7d1zXPkL+MvF1VkRt+9q3ZqdsrNPp4KFKJwDb8o///yjoKAgSdLChQtVqVIlzZs3T9u2bVOzZs2YywwAgCTUvn17RUdHa9iwYfrqq68kSf7+/goNDVXr1q2tnA4AkrdkWxCtVq2aChcurJYtW2rcuHF6/PixunTpokqVKqlEiRLP3fbBgwf67LPP1KhRI+XMmVMXL17Url271LBhwwTv/7PPPtOgQYOUO3duBQUFafr06dq/f7/5oUstW7bU6NGjVbduXfPT6M+dO6clS5bo888/16NHj/TDDz+oTp06ypo1q06cOKGTJ09yYnoJDaoX182Iexo+5XddD7+rwvl8tei7rtwyn8bcvRul2dNXKjLyvhydHJTVN5O6dG+s/AH+uhNxT6dPXtSmDXsUFfVQrm7plSdPNvX+rKVc3dJbOzqQZphMJvNdHuvXr9f7778vSfLz82MuMwAAXoOPP/5YH3/8sW7cuCEnJye5uLhYOxIApAjJtiBqMBj022+/qXv37qpYsaJsbGxUo0YNff/99y/c1tbWVuHh4WrdurWuXbumTJkyqUGDBol6YFGPHj10584dffrpp7p+/boCAgK0bNky88OZnJ2d9eeff6pv375q0KCB7t69K19fX1WtWlVubm568OCBjh8/rpkzZyo8PFxZsmRR165d1blz55f+TNKyTk0qqVOTSi9eEalWy9Y1nrnM3cNFH3dv9AbTAIhPiRIlNHToUFWrVk2bN29WaGioJCksLEyZM2e2cjoAAFKfx48fa9OmTTp9+rR56rbLly/Lzc2N4igAPIfBlJiJM/FGRUZGyt3dXdfC7zCfKOKYs+ectSMgmXpw/656VC2sO3f43YE36+DBg2rZsqXOnz+v3r17a9CgQZKk7t27Kzw8XPPmzbNywmd7es69ciNcpb/ZLkk6+mWwnO2T7XfHAJKBp787OOfCGs6dO6caNWro/Pnzio6O1j///KNcuXKpZ8+eio6O1uTJk60d8Zn4twPgZSTl7w7+lw8AAJJEkSJFLJ4y/9To0aNla2trhUQAAKRePXv2VIkSJXTgwAFlzJjR3F6/fn117NjRiskAIPmz+lPmX1bBggXl4uIS7+vpPJ8AAODN27Nnj+bMmaM5c+Zo7969cnR0lJ2dXaL7mThxovz9/eXo6KhSpUrp77//fua6U6dOVYUKFeTp6SlPT09Vq1btuesDAJDSbdmyRQMGDJC9vb1Fu7+/vy5dupTo/jjvAkhLUuwI0ZUrV+rRo0fxLmOeMgAA3rzr16+radOm2rx5szw8PCRJERERqlKliubPny8vL68E97VgwQL17t1bkydPVqlSpTRu3DgFBwfrxIkT8vb2jrP+pk2b1Lx5c5UtW1aOjo4aOXKkqlevriNHjsjX1zepDhEAgGTDaDQqNjY2TvvFixfl6uqaqL447wJIa5hDNBljDlE8D3OI4lmYQxTW0rRpU505c0azZs1SgQIFJElHjx5VmzZtlCdPHv38888J7qtUqVJ6++23NWHCBElPLvr8/PzUvXt39evX74Xbx8bGytPTUxMmTFDr1q1fuD5ziAJ4GcyDCGtq2rSp3N3d9cMPP8jV1VUHDx6Ul5eX6tatq+zZs2v69OkJ7sta513+7QBIDOYQBQAAyc7q1au1fv16czFUkgICAjRx4kRVr149wf3ExMRoz5496t+/v7nNxsZG1apV0/bt2xPUR1RUlB49eqQMGTLEuzw6OlrR0dHm95GRkQnOBwBAcvDNN9+oRo0aCggI0MOHD9WiRQudPHlSmTJlStSXkJx3AaRFKXYOUQAAkLwYjcZ45wq1s7OT0WhMcD83b95UbGxsnClwMmfOrKtXryaoj759+ypr1qyqVq1avMtHjBghd3d388vPzy/B+QAASA78/Px04MABffHFF+rVq5eKFi2qr7/+Wvv27Yv3Nvdn4bwLIC2iIAoAAJLEO++8o549e+ry5cvmtkuXLqlXr16qWrXqG8vx9ddfa/78+Vq6dKkcHR3jXad///66c+eO+XXhwoU3lg8AgFf16NEj5c6dWydPnlTLli01atQoTZo0SR06dJCTk9MbzcJ5F0BKxC3zAAAgSUyYMEF16tSRv7+/eeTHhQsXVKhQIc2ZMyfB/WTKlEm2tra6du2aRfu1a9fk4+Pz3G2/+eYbff3111q/fr2KFCnyzPUcHBzk4OCQ4EwAACQndnZ2evjwYZL0xXkXQFrECFEAAJAk/Pz8tHfvXq1cuVKffPKJPvnkE61cuVJ79+5VtmzZEtyPvb29ihcvrg0bNpjbjEajNmzYoDJlyjxzu1GjRumrr77S6tWrVaJEiVc6FgAAkruuXbtq5MiRevz48Sv1w3kXQFrECFEAAPDKFixYoGXLlikmJkZVq1ZV9+7dX6m/3r17q02bNipRooRKliypcePG6f79+2rXrp0kqXXr1vL19dWIESMkSSNHjlRISIjmzZsnf39/85xnLi4ucnFxebWDAwAgGdq1a5c2bNigtWvXqnDhwkqfPr3F8iVLliS4L867ANIaCqIAAOCVhIaGqmvXrsqbN6+cnJy0ZMkSnT59WqNHj37pPps2baobN24oJCREV69eVVBQkFavXm1+4MP58+dlY/N/N7qEhoYqJiZGjRo1suhn0KBBGjx48EvnAAAgufLw8FDDhg2TpC/OuwDSGoPJZDJZOwTiFxkZKXd3d10LvyM3Nzdrx0EyM2fPOWtHQDL14P5d9ahaWHfu8LsDb0bBggXVpEkTDRo0SJI0Z84cde7cWffv37dysoR7es69ciNcpb/ZLkk6+mWwnO357hjAsz393cE5F0gc/u0AeBlJ+buDOUQBAMArOXPmjNq0aWN+36JFCz1+/FhXrlyxYioAAFIno9GokSNHqly5cnr77bfVr18/PXjwwNqxACBFoSAKAABeSXR0tMW8ZTY2NrK3t+fiDACA12DYsGH63//+JxcXF/n6+mr8+PHq2rWrtWMBQIrCfWAAAOCVDRw4UM7Ozub3MTExGjZsmNzd3c1tY8eOtUY0AABSlVmzZmnSpEnq3LmzJGn9+vWqVauWpk2bZjHPJwDg2SiIAgCAV1KxYkWdOHHCoq1s2bI6c+aM+b3BYHjTsQAASJXOnz+vmjVrmt9Xq1ZNBoNBly9fVrZs2ayYDABSDgqiAADglWzatMnaEQAASDMeP34sR0dHizY7Ozs9evTISokAIOWhIAoAAAAAQAphMpnUtm1bOTg4mNsePnyojz76yGJO7yVLllgjHgCkCBREAQAAAABIIdq0aROnrVWrVlZIAgApFwVRAAAAAABSiOnTp1s7AgCkeDyCDgAAAAAAAECaQUEUAAAAAAAAQJpBQRQAACSZLVu2qFWrVipTpowuXbokSZo9e7a2bt1q5WQAAAAA8AQFUQAAkCQWL16s4OBgOTk5ad++fYqOjpYk3blzR8OHD7dyOgAAAAB4goIoAABIEkOHDtXkyZM1depU2dnZmdvLlSunvXv3WjEZAAAAAPwfCqIAACBJnDhxQhUrVozT7u7uroiIiDcfCAAAAADiQUEUAAAkCR8fH506dSpO+9atW5UrVy4rJAIAAACAuNJZOwAAAEgdOnbsqJ49e+qnn36SwWDQ5cuXtX37dvXp00cDBw60drw3IjY2Vo8ePbJ2DABJyN7eXjY2jCMBrIHzKpAy2NnZydbW1toxEoWCKAAASBL9+vWT0WhU1apVFRUVpYoVK8rBwUF9+vRR9+7drR3vtTKZTLp69SpTAwCpkI2NjXLmzCl7e3trRwHSDM6rQMrj4eEhHx8fGQwGa0dJEAqiAAAgSRgMBn3xxRf67LPPdOrUKd27d08BAQFycXGxdrTX7ulFm7e3t5ydnVPMfwQBPJ/RaNTly5d15coVZc+enX/bwBvCeRVIOUwmk6KionT9+nVJUpYsWaycKGEoiAIAgCRlb2+vgIAAa8d4Y2JjY80XbRkzZrR2HABJzMvLS5cvX9bjx49lZ2dn7ThAqsd5FUh5nJycJEnXr1+Xt7d3irh9noIoAABIElWqVHnuCI4//vjjDaZ5c57Obebs7GzlJABeh6e3ysfGxlIQBd4AzqtAyvT03+yjR48oiAIAgLQjKCjI4v2jR4+0f/9+HT58WG3atLFOqDeI2/mA1Il/24B18G8PSFlS2r9ZCqIAACBJfPvtt/G2Dx48WPfu3XvDaQAAAAAgfjbWDgAAAFK3Vq1a6aeffrJ2DAAAAACQREEUAAC8Ztu3b5ejo6O1Y+AlbNu2TYULF5adnZ3q1asXb9umTZtkMBgUERGRoD4rV66sTz755LVltrYZM2bIw8PjtfX/wQcfaPjw4a+t/7Rm9erVCgoKktFotHYUAGkE59bE49xqfaVLl9bixYutHSNJURAFAABJokGDBhav+vXrq3Tp0mrXrp06d+5s7Xh4Cb1791ZQUJDCwsI0Y8aMeNvKli2rK1euyN3dPUF9LlmyRF999VWS5mzbtq35ojKp+fv7a9y4cUne76ZNm1SsWDE5ODgoT5485s/3eQ4cOKCVK1eqR48ecZb9/PPPsrW1VdeuXeMse96FpMFg0K+//mrRtnjxYlWuXFnu7u5ycXFRkSJF9OWXX+rWrVsJObSXMmzYMJUtW1bOzs4Jvug1mUwKCQlRlixZ5OTkpGrVqunkyZMW69y6dUstW7aUm5ubPDw89OGHH1pM4VGjRg3Z2dlp7ty5SXk4APBMnFtTx7n1adH66Stz5sxq2LChzpw5kxSHEq8jR46oYcOG8vf3l8FgSPBnePDgQVWoUEGOjo7y8/PTqFGj4qyzcOFC5c+fX46OjipcuLBWrlxpsXzAgAHq169fqvoCkYIoAABIEu7u7havDBkyqHLlylq5cqUGDRpk7Xh4CadPn9Y777yjbNmymYtU/22zt7eXj49PgifSz5Ahg1xdXV9j6uQvLCxMtWrVUpUqVbR//3598skn6tChg9asWfPc7b7//ns1btxYLi4ucZb9+OOP+vzzz/Xzzz/r4cOHL53tiy++UNOmTfX2229r1apVOnz4sMaMGaMDBw5o9uzZL93vi8TExKhx48b6+OOPE7zNqFGj9N1332ny5MnauXOn0qdPr+DgYIvjb9mypY4cOaJ169ZpxYoV+vPPP9WpUyeLftq2bavvvvsuyY4FAJ6Hc+vrYa1z64kTJ3T58mUtXLhQR44cUe3atRUbG5skx/RfUVFRypUrl77++mv5+PgkaJvIyEhVr15dOXLk0J49ezR69GgNHjxYP/zwg3mdv/76S82bN9eHH36offv2qV69eqpXr54OHz5sXue9997T3bt3tWrVqiQ/LmuhIAoAAF5ZbGys2rVrp7Fjx2r69OmaPn26fvzxR3399deqXr26teO9USaTSVExj63yMplMCc5pNBo1YsQI5cyZU05OTgoMDNSiRYskSWfPnpXBYFB4eLjat28vg8GgGTNmxNsW321927ZtU+XKleXs7CxPT08FBwfr9u3bkuLe1hcdHa0+ffrI19dX6dOnV6lSpbRp0ybz8qejG9esWaMCBQrIxcVFNWrU0JUrVyQ9eWjXzJkz9dtvv5lHaWzatMl8DEuWLFGVKlXk7OyswMBAbd++3eJz2Lp1qypUqCAnJyf5+fmpR48eun//vjnruXPn1KtXL3PfCfXrr78qb968cnR0VHBwsC5cuGBeNnnyZOXMmVNjxoxRgQIF1K1bNzVq1OiZDyaTnvwbW7RokWrXrh1nWVhYmP766y/169dP+fLl05IlSxKc89/+X3v3HRbF9fUB/EvbpYOKCCiiKKCiYEewkEQMBGOLQYlEMfaCGnsXwSgmir3FBmowoIktUVFEjIC9YAkElSImgsagIIJS9rx/8DI/lrr0dj7Ps8/DztyZOXfYnTNz987cGzduYM2aNfD29sa6detgY2ODVq1aYcCAAfj111/h6uparvXKwsPDA7Nnz0anTp1kKk9E2LRpE5YtW4YhQ4bAwsICBw8exPPnz4Uer1FRUQgMDMTevXthZWWFPn36YOvWrfD398fz58+FdQ0aNAi3bt1CTExMVVSNMVYJOLdybgVqZ27V1dWFvr4++vXrhxUrViAyMhJPnjyRuU5l0aNHD6xbtw7Ozs4Qi8UyLePn54fMzEzs378f5ubmcHZ2xsyZM7FhwwahzObNm+Hg4ID58+ejffv2WLVqFbp27Ypt27YJZRQUFODo6Ah/f/9Kr1dN4VHmGWOMMVZhCgoK+PTTTxEVFYVGjRrVdDg1KiMrBx1WlNwboapEetpDVSTb6Z2Xlxd++ukn7Nq1CyYmJrh8+TK+/vprNG3aFH369EFiYiLMzMzg6emJkSNHQkNDAw4ODlLTtLS0cP36dan1RkREoH///hg3bhw2b94MRUVFhISEFNtbws3NDZGRkfD394eBgQGOHz8OBwcHPHjwACYmJgBye0SsX78ehw4dgry8PL7++mvMmzcPfn5+mDdvHqKiopCamgofHx8AuT1l8hq8li5divXr18PExARLly7FV199hSdPnkBRURExMTFwcHDAd999h/379+Pff/+Fm5sb3Nzc4OPjg2PHjsHS0hKTJk3CxIkTZf4/pKenY/Xq1Th48CBEIhGmTZsGZ2dnhIeHA8h9rq6dnZ3UMvb29iU+/+3+/ftISUlB9+7dC83z8fHBwIEDoaWlha+//hr79u3DqFGjZI43j5+fH9TV1TFt2rQi55d0K7u5uTmePn1a7Py+fftWaq+SuLg4JCUlSe1HLS0tWFlZ4erVq3B2dsbVq1ehra0ttc/s7OwgLy+P69evY9iwYQCAli1bolmzZggNDUWbNm0qLUbGWOXh3Mq5tS7kVhUVFQC5dz0Uxc/Pr9THSJ09exZ9+/YtsUxZXL16Ff369YNIJBKm2dvb4/vvv8fr16/RqFEjXL16FXPmzJFazt7evtAjdXr27Im1a9dWWmw1jRtEGWOMMVYpOnbsiNjYWLRu3bqmQ2Gl+PDhA9asWYMLFy7A2toaAGBsbIywsDD8+OOPsLW1FW7V09LSEm7LUlNTKzStoB9++AHdu3fHjh07hGnm5uZFlk1ISICPjw8SEhJgYGAAAJg3bx4CAwPh4+MjDHCQlZWFXbt2CY1Vbm5u8PT0BACoq6tDRUUFHz58KDKmefPmYeDAgQByeyGam5vjyZMnaNeuHby8vODi4iJcLJmYmGDLli2wtbXFzp070bhxYygoKEBDQ0PmW9Py4t22bRusrKwAAAcOHED79u1x48YN9OzZE0lJSWjWrJnUMs2aNUNqaioyMjKEC6r8nj59CgUFBejq6kpNl0gk8PX1xdatWwEAzs7OmDt3LuLi4sr8XXz8+DGMjY2hpKRUpuUA4MyZM8jKyip2flF1qoikpCQAKHI/5s1LSkoqtL8UFRXRuHFjoUweAwODEht0GWOsNJxbG3ZuTUxMxPr169G8eXOYmZkVWWbw4MFC/MVp3rx5ifPLKikpqVDMefspKSkJjRo1KnbfFZUrnz17BolEAnn5un/DOTeIMsYYY6xSfPfdd5g3bx5WrVqFbt26QU1NTWq+pqZmDUVWvVSUFBDpaV9j25bFkydPkJ6ejgEDBkhNz8zMRJcuXSoUQ0REBJycnGQq++DBA+Tk5MDU1FRq+ocPH9CkSRPhvaqqqlTPPX19fbx8+VKmbVhYWEgtBwAvX75Eu3btcO/ePdy/f19qQB0igkQiQVxcHNq3by/TNgpSVFREjx49hPft2rWDtrY2oqKi0LNnz3KtMyMjA2KxuNCthUFBQXj37h0cHR0BADo6OhgwYAD2799f5gE2ynJbaEFGRkblXrY2UFFRQXp6ek2HwRgrBudWzq21Nbe2aNEi95EO6emwtLTEr7/+KtUbMz8NDY06/axXFRUVSCQSfPjwodJ/6KwJ3CDKGGOMsQrx9PTE3LlzhZPGwYMHS51YEhHk5OSq7AHztY2cnJzMt9bVlLxRtk+fPl2oJ4Ksz6QqTllOkNPS0qCgoIDbt29DQUH6gjP/4AYFeyzKycnJ3HiXf9m8z2XeCKlpaWmYPHlykSPLtmzZUrZKlIOenh5evHghNe3FixfQ1NQsdv/p6OggPT0dmZmZUhda+/btQ3JystRyEokE9+/fh4eHB+Tl5aGpqYl3794V6tGR92y6vFGMTU1NERYWhqysrDL3Eq3uW+bzehW9ePFCuBjPe9+5c2ehTMGL++zsbCQnJxfqlZScnIymTZtWWnyMscrFuZVza2mqO7fmCQ0NhaamJnR1dUtt7KyJW+aL2y9580oqU1SuVFNTqxeNoQA3iDLGGGOsgjw8PDBlyhSEhITUdChMRh06dIBYLEZCQgJsbW0rdd0WFhYIDg6Gh4dHqWW7dOmCnJwcvHz5skIn/yKRqFwN7l27dkVkZCTatm1bqevOzs7GrVu3hB4r0dHRePPmjdArxtraGmfOnJFaJigoSLjFsih5jXyRkZHC3//99x9OnjwJf39/qVsnc3Jy0KdPH5w/f154Nl12djYiIiLQtWtXodydO3cAQOhFNGrUKGzZsgU7duzArFmzCsXw5s2bYp8jWt23zLdu3Rp6enoIDg4W9kdqaiquX78ujFRvbW2NN2/e4Pbt2+jWrRsA4OLFi5BIJFK3LL5//x4xMTEV7sHFGGvYOLfmaii5NU/r1q1LfMZ2fjVxy7y1tTWWLl0q9WNnUFAQzMzMhOf+W1tbIzg4WOp5q0Xtu4cPH9arXMkNoowxxhirkLzeBJV98s+qjoaGBubNm4fZs2dDIpGgT58+SElJQXh4ODQ1NSs0mvjixYvRqVMnTJs2DVOmTIFIJEJISAicnJygo6MjVdbU1BQuLi4YM2YMvL290aVLF/z7778IDg6GhYWF8Hyy0rRq1Qrnzp1DdHQ0mjRpIvR4LM3ChQvRq1cvuLm5YcKECVBTU0NkZCSCgoKEkVVbtWqFy5cvCyO6FqxDUZSUlDBjxgxs2bIFioqKcHNzQ69evYSLuClTpmDbtm1YsGABxo0bh4sXL+LIkSM4ffp0sets2rQpunbtirCwMOGi7dChQ2jSpAlGjBhR6HY/R0dH7Nu3Dw4ODjA3N8enn36KcePGwdvbG8bGxoiOjsa3336LkSNHChdfVlZWWLBgAebOnYt//vkHw4YNg4GBAZ48eYJdu3ahT58+RTaUAhW/ZT4hIQHJyclISEhATk4OIiIiAABt27YVejTlPZtu2LBhkJOTw7fffovvvvsOJiYmaN26NZYvXw4DAwMMHToUANC+fXs4ODhg4sSJ2LVrF7KysuDm5gZnZ2fhuXoAcO3aNYjF4hIvmhljrDScW3M1lNxaHhW9ZT4zMxORkZHC3//88w8iIiKgrq4uNEBv27YNx48fR3BwMIDcHzs9PDwwfvx4LFy4EA8fPsTmzZuxceNGYb2zZs2Cra0tvL29MXDgQPj7++PWrVvYvXu31PZDQ0Px6aefljv+2qbuPwWVMcYYYzWu4Akjq/1WrVqF5cuXw8vLS2g4On36dIUHxTI1NcX58+dx79499OzZE9bW1jh58iQUFYv+Hd7HxwdjxozB3LlzYWZmhqFDh+LmzZtluq1u4sSJMDMzQ/fu3dG0aVNhxNnSWFhY4I8//sCjR4/Qt29fdOnSBStWrJBqLPP09ER8fDzatGkj8y3VqqqqWLhwIUaNGoXevXtDXV0dAQEBwvzWrVvj9OnTCAoKgqWlJby9vbF3717Y25f8fLwJEyZIPZNt//79QuNgQcOHD8epU6fw6tUrAEBAQABsbW0xefJkmJubY+bMmRgyZAj27t0rtdz333+Pw4cP4/r167C3t4e5uTnmzJkDCwuLCl3Ml2bFihXo0qUL3N3dkZaWhi5duqBLly64deuWUCY6OhopKSnC+wULFmDGjBmYNGkSevTogbS0NAQGBkJZWVko4+fnh3bt2qF///5wdHREnz59Cl3g/fzzz3BxcYGqqmqV1Y8x1jBwbm1YubW6PX/+XMiPeYM4denSBRMmTBDKvHr1CjExMcJ7LS0tnD9/HnFxcejWrRvmzp2LFStWYNKkSUIZGxsbHD58GLt374alpSV++eUXnDhxAh07dhTK/PPPP7hy5Qq++eab6qlsNZCjijw9nVWp1NRUaGlp4cV/KQ1mIAomu59u80iorGgZ795iZv9OSEnhYwerHvLy8tDS0iq1UTQ5ObmaIiq7vJyb+O9/6LX+KgAg0tNepueVvX//Xhh1NH9DDGOVLSMjA2ZmZggICODejJXk1atXMDMzw61bt4ptsCjpO5537OCcy1jZlPTd4bzKqhPnVtksXLgQr1+/LvSjYn7V8d2tzLzLt8wzxhhjrMI8PDxkvpWKMVY+KioqOHjwYI31TKmP4uPjsWPHjgr33mKMMVY3cW6Vja6uLubMmVPTYVQqbhBljDHGWIU5OztDV1e3psNgrMp99tlnCA0NLXLekiVLsGTJkird/kcffVSl629ounfvju7du9d0GIwx1qBxbq395s6dW9MhVDpuEGWMMcZYhfDzQ1lDsnfvXmRkZBQ5r3HjxtUcDWOMMVb3cW5lNYEbRBljjDFWIfw4ctaQ5I3IzhhjjLHKwbmV1QRuEGWMMcZYhUgkkpoOoVbghmHG6if+bjNWM/i7x1jdUte+s/I1HQBjjDHGWF2mpKQEAEhPT6/hSBhjVSEzMxMAoKCgUMORMNYwcF5lrG7K+87mfYdrO+4hyhhjjDFWAQoKCtDW1sbLly8BAKqqqvxcVcbqCYlEgn///ReqqqpQVORLJ8aqA+dVxuoWIkJ6ejpevnwJbW3tOvMDImd1xhhjjNVK27dvx7p165CUlARLS0ts3boVPXv2LLb80aNHsXz5csTHx8PExATff/89HB0dqyVWPT09ABAu3hhj9Ye8vDxatmzJDTKs3qtNeZfzKmN1j7a2tvDdrQu4QZQxxhhjtU5AQADmzJmDXbt2wcrKCps2bYK9vT2io6Ohq6tbqPyVK1fw1VdfwcvLC59//jkOHz6MoUOH4s6dO+jYsWOVxysnJwd9fX3o6uoiKyuryrfHGKs+IpEI8vL8pDFWv9W2vMt5lbG6RUlJqc70DM0jR3XtqacNSGpqKrS0tPDivxRoamrWdDislvnp9tOaDoHVUhnv3mJm/05ISeFjB6u7rKys0KNHD2zbtg1A7m2rhoaGmDFjBhYtWlSo/MiRI/Hu3Tv8/vvvwrRevXqhc+fO2LVrV6nby8u5if/+h17rrwIAIj3toSri344ZY8XLO3ZwzmV1XU3lXf7uMMbKojKPHfxTJ2OMMcZqlczMTNy+fRt2dnbCNHl5edjZ2eHq1atFLnP16lWp8gBgb29fbPkPHz4gNTVV6sUYY4w1RJx3GWMNETeIMsYYY6xWefXqFXJyctCsWTOp6c2aNUNSUlKRyyQlJZWpvJeXF7S0tISXoaFh5QTPGGOM1TGcdxljDRE3iDLGGGOswVm8eDFSUlKE17NnzwAAKkoKiPS0R6SnPVSU6tZzkBhjjLHaqri8yxhjNYUfjFWL5T3e9S3fTsCKkPHubU2HwGqpjHdpAP53DGGsrtHR0YGCggJevHghNf3FixfFjlypp6dXpvJisRhisVh4L+Tct2+h+f8jSb99X+4qMMYaiLzbfjnnsrqsJvMu3zrPGCuLysy73CBai719m9vg1bY1307AGCu7t2/fQktLq6bDYKzMRCIRunXrhuDgYAwdOhRA7uAOwcHBcHNzK3IZa2trBAcH49tvvxWmBQUFwdraWqZt5uVcvoWPMVYenHNZXcZ5lzFW11RG3uUG0VrMwMAAz549g4aGBuT+v7dKQ5WamgpDQ0M8e/aMRyFkhfDnQxoR4e3btzAwMKjpUBgrtzlz5sDV1RXdu3dHz549sWnTJrx79w7ffPMNAGDMmDFo3rw5vLy8AACzZs2Cra0tvL29MXDgQPj7++PWrVvYvXu3TNvLn3Pfvn1b744p9fE4WR/rBNTPetXnOiUkJEBOTo5zLqvzOO9Wrvp83OM61X71sV5VkXe5QbQWk5eXR4sWLWo6jFpFU1Oz3nyhWeXjz8f/cC8VVteNHDkS//77L1asWIGkpCR07twZgYGBwgAOCQkJkJf/36PQbWxscPjwYSxbtgxLliyBiYkJTpw4gY4dO8q0vfw5N+9HyPp4TOE61R31sV71sU5aWlr1rk6sYeK8WzW4TnVDfawTUD/rVZl5V474gTesDkhNTYWWlhZSUlLq3ReaVRx/Phhjlak+HlO4TnVHfawX14kxVpL6+H3iOtUN9bFOQP2sV1XUiUeZZ4wxxhhjjDHGGGOMNRjcIMrqBLFYDHd3d6mRCRnLw58Pxlhlqo/HFK5T3VEf68V1YoyVpD5+n7hOdUN9rBNQP+tVFXXiW+YZY4wxxhhjjDHGGGMNBvcQZYwxxhhjjDHGGGOMNRjcIMoYY4wxxhhjjDHGGGswuEGUMcYYY4wxxhhjjDHWYHCDKKsxY8eOxdChQ2s6DFYP+Pr6Qltbu6bDYIwxxhhjjDHGWB3ADaKMMcYYa3C2b9+OVq1aQVlZGVZWVrhx40aJ5Y8ePYp27dpBWVkZnTp1wpkzZ6opUtmVpU579uxB37590ahRIzRq1Ah2dnal7oOaUNb/Ux5/f3/IycnVyh9ey1qnN2/eYPr06dDX14dYLIapqWmd//wBwKZNm2BmZgYVFRUYGhpi9uzZeP/+fTVFW7LLly9j0KBBMDAwgJycHE6cOFHqMpcuXULXrl0hFovRtm1b+Pr6VnmcjNUlnHc579aU+ph361POBWow7xJjNcTV1ZWGDBlS02GwesDHx4e0tLRqOgzGWB3h7+9PIpGI9u/fT3/++SdNnDiRtLW16cWLF0WWDw8PJwUFBfrhhx8oMjKSli1bRkpKSvTgwYNqjrx4Za3TqFGjaPv27XT37l2KioqisWPHkpaWFv3999/VHHnxylqnPHFxcdS8eXPq27dvrTvPKGudPnz4QN27dydHR0cKCwujuLg4unTpEkVERFRz5CUra738/PxILBaTn58fxcXF0blz50hfX59mz55dzZEX7cyZM7R06VI6duwYAaDjx4+XWD42NpZUVVVpzpw5FBkZSVu3biUFBQUKDAysnoAZq+U473LerSn1Me/Wt5xLVHN5lxtEWZU7evQodezYkZSVlalx48bUv39/SktLExpE161bR3p6etS4cWOaNm0aZWZmCssmJyfT6NGjSVtbm1RUVMjBwYEePXoktf7Q0FDq06cPKSsrU4sWLWjGjBmUlpYmzN++fTu1bduWxGIx6erq0vDhw6ut7g2Nra0tzZgxg+bPn0+NGjWiZs2akbu7uzD/6dOnNHjwYFJTUyMNDQ1ycnKipKQkmdYdERFBH330Eamrq5OGhgZ17dqVbt68SUT/axANDAykdu3akZqaGtnb29Pz58+F5XNycsjDw4OaN29OIpGILC0t6ezZs1LbSEhIICcnJ9LS0qJGjRrR4MGDKS4uTpgfEhJCPXr0IFVVVdLS0iIbGxuKj48v/w5jjNWInj170vTp04X3OTk5ZGBgQF5eXkWWHzFiBA0cOFBqmpWVFU2ePLlK4yyLstapoOzsbNLQ0KADBw5UVYhlVp46ZWdnk42NDe3du7dW/vBa1jrt3LmTjI2Npc6NaqOy1mv69On0ySefSE2bM2cO9e7du0rjLA9ZLswWLFhA5ubmUtNGjhxJ9vb2VRgZY3UH593COO9Wj/qYd+tzziWq3rzLt8yzKpWYmIivvvoK48aNQ1RUFC5duoQvvvgCuZ9zICQkBDExMQgJCcGBAwfg6+sr1dV57NixuHXrFk6dOoWrV6+CiODo6IisrCwAQExMDBwcHDB8+HDcv38fAQEBCAsLg5ubGwDg1q1bmDlzJjw9PREdHY3AwED069ev2vdDQ3LgwAGoqanh+vXr+OGHH+Dp6YmgoCBIJBIMGTIEycnJ+OOPPxAUFITY2FiMHDlSpvW6uLigRYsWuHnzJm7fvo1FixZBSUlJmJ+eno7169fj0KFDuHz5MhISEjBv3jxh/ubNm+Ht7Y3169fj/v37sLe3x+DBg/H48WMAQFZWFuzt7aGhoYHQ0FCEh4dDXV0dDg4OyMzMRHZ2NoYOHQpbW1vcv38fV69exaRJkyAnJ1e5O5AxVqUyMzNx+/Zt2NnZCdPk5eVhZ2eHq1evFrnM1atXpcoDgL29fbHlq1t56lRQeno6srKy0Lhx46oKs0zKWydPT0/o6upi/Pjx1RFmmZSnTqdOnYK1tTWmT5+OZs2aoWPHjlizZg1ycnKqK+xSladeNjY2uH37tnCLX2xsLM6cOQNHR8dqibmy1fZjBGM1ifNu0TjvVr36mHc55+aqrGOEYmUGxVhBiYmJyM7OxhdffAEjIyMAQKdOnYT5jRo1wrZt26CgoIB27dph4MCBCA4OxsSJE/H48WOcOnUK4eHhsLGxAQD4+fnB0NAQJ06cgJOTE7y8vODi4oJvv/0WAGBiYoItW7bA1tYWO3fuREJCAtTU1PD5559DQ0MDRkZG6NKlS7Xvh4bEwsIC7u7uAHL/H9u2bUNwcDAA4MGDB4iLi4OhoSEA4ODBgzA3N8fNmzfRo0ePEtebkJCA+fPno127dsK688vKysKuXbvQpk0bAICbmxs8PT2F+evXr8fChQvh7OwMAPj+++8REhKCTZs2Yfv27QgICIBEIsHevXuFRk4fHx9oa2vj0qVL6N69O1JSUvD5558L22jfvn2F9hVjrPq9evUKOTk5aNasmdT0Zs2a4a+//ipymaSkpCLLJyUlVVmcZVGeOhW0cOFCGBgYFDq5rCnlqVNYWBj27duHiIiIaoiw7MpTp9jYWFy8eBEuLi44c+YMnjx5gmnTpiErK0vItTWtPPUaNWoUXr16hT59+oCIkJ2djSlTpmDJkiXVEXKlK+4YkZqaioyMDKioqNRQZIzVPM67ReO8W/XqY97lnJursvIu9xBlVcrS0hL9+/dHp06d4OTkhD179uD169fCfHNzcygoKAjv9fX18fLlSwBAVFQUFBUVYWVlJcxv0qQJzMzMEBUVBQC4d+8efH19oa6uLrzs7e0hkUgQFxeHAQMGwMjICMbGxhg9ejT8/PyQnp5eTbVvmCwsLKTe5/1Po6KiYGhoKDSGAkCHDh2gra0t/D9LMmfOHEyYMAF2dnZYu3YtYmJipOarqqoKDZX5twsAqampeP78OXr37i21TO/evaU+S0+ePIGGhobwWWrcuDHev3+PmJgYNG7cGGPHjoW9vT0GDRqEzZs3IzExsWw7hzHGaqG1a9fC398fx48fh7Kyck2HUy5v377F6NGjsWfPHujo6NR0OJVGIpFAV1cXu3fvRrdu3TBy5EgsXboUu3btqunQKuTSpUtYs2YNduzYgTt37uDYsWM4ffo0Vq1aVdOhMcZYleO8W3vVx7zLObd43EOUVSkFBQUEBQXhypUrOH/+PLZu3YqlS5fi+vXrACB1yzMAyMnJQSKRyLz+tLQ0TJ48GTNnziw0r2XLlhCJRLhz5w4uXbqE8+fPY8WKFVi5ciVu3rwJbW3tCtWNFa2i/9PirFy5EqNGjcLp06dx9uxZuLu7w9/fH8OGDSt2u3mPZpBFWloaunXrBj8/v0LzmjZtCiC3x+jMmTMRGBiIgIAALFu2DEFBQejVq1cFasYYq046OjpQUFDAixcvpKa/ePECenp6RS6jp6dXpvLVrTx1yrN+/XqsXbsWFy5cKPSDVk0qa51iYmIQHx+PQYMGCdPyco+ioiKio6OlfjSrCeX5P+nr60NJSUnqx+P27dsjKSkJmZmZEIlEVRqzLMpTr+XLl2P06NGYMGECgNy7h969e4dJkyZh6dKlkJevW302ijtGaGpqcu9Q1uBx3pXGebf61Me8yzk3V2Xl3bpXc1bnyMnJoXfv3vDw8MDdu3chEolw/PjxUpdr3749srOzhcZTAPjvv/8QHR2NDh06AAC6du2KyMhItG3bttAr72ClqKgIOzs7/PDDD7h//z7i4+Nx8eLFqqksK1b79u3x7NkzPHv2TJgWGRmJN2/eCP/P0piammL27Nk4f/48vvjiC/j4+Mi0nKamJgwMDBAeHi41PTw8XOqz9PjxY+jq6hb6LGlpaQnLdOnSBYsXL8aVK1fQsWNHHD58WKYYGGO1g0gkQrdu3YRHeQC5J/DBwcGwtrYuchlra2up8gAQFBRUbPnqVp46AcAPP/yAVatWITAwEN27d6+OUGVW1jq1a9cODx48QEREhPAaPHgwPv74Y0REREjdnVBTyvN/6t27N548eSL1w+KjR4+gr69f4xdlecpTr/T09EIXYHkXn2X5MbO2qO3HCMZqEufd/+G8W73qY97lnJur0o4RZRqCibEyunbtGq1evZpu3rxJT58+pSNHjpBIJKIzZ84UOQrdrFmzyNbWVng/ZMgQ6tChA4WGhlJERAQ5ODhQ27ZthVHf7t27RyoqKjR9+nS6e/cuPXr0iE6cOCGMuvbbb7/R5s2b6e7duxQfH087duwgeXl5evjwYXXtggbF1taWZs2aJTVtyJAh5OrqShKJhDp37kx9+/al27dv0/Xr16lbt25S/+/ipKen0/Tp0ykkJITi4+MpLCyM2rRpQwsWLCCi/40yn9/x48cp/yFu48aNpKmpSf7+/vTXX3/RwoULSUlJiR49ekRERO/evSMTExP66KOP6PLlyxQbG0shISE0Y8YMevbsGcXGxtKiRYvoypUrFB8fT+fOnaMmTZrQjh07KrTPGGPVz9/fn8RiMfn6+lJkZCRNmjSJtLW1KSkpiYiIRo8eTYsWLRLKh4eHk6KiIq1fv56ioqLI3d2dlJSU6MGDBzVVhULKWqe1a9eSSCSiX375hRITE4XX27dva6oKhZS1TgXVxtFuy1qnhIQE0tDQIDc3N4qOjqbff/+ddHV16bvvvqupKhSprPVyd3cnDQ0N+vnnnyk2NpbOnz9Pbdq0oREjRtRUFaS8ffuW7t69S3fv3iUAtGHDBrp79y49ffqUiIgWLVpEo0ePFsrHxsaSqqoqzZ8/n6Kiomj79u2koKBAgYGBNVUFxmoVzrucd2tKfcy79S3nEtVc3uUGUValIiMjyd7enpo2bUpisZhMTU1p69atRFT0AbNgg2hycjKNHj2atLS0SEVFhezt7YUGrDw3btygAQMGkLq6OqmpqZGFhQWtXr2aiIhCQ0PJ1taWGjVqRCoqKmRhYUEBAQFVWueGrKQGUSKip0+f0uDBg0lNTY00NDTIyclJOHCX5MOHD+Ts7EyGhoYkEonIwMCA3NzcKCMjg4hkaxDNycmhlStXUvPmzUlJSYksLS3p7NmzUsskJibSmDFjSEdHh8RiMRkbG9PEiRMpJSWFkpKSaOjQoaSvr08ikYiMjIxoxYoVlJOTU/YdxRircVu3bqWWLVuSSCSinj170rVr14R5tra2wnErz5EjR8jU1JREIhGZm5vT6dOnqzni0pWlTkZGRgSg0Mvd3b36Ay9BWf9P+dXGCzOistfpypUrZGVlJeSl1atXU3Z2djVHXbqy1CsrK4tWrlxJbdq0IWVlZTI0NKRp06bR69evqz/wIoSEhBT5/cirg6ura6EfdENCQqhz584kEonI2NiYfHx8qj1uxmozzrucd2tKfcy79SnnEtVc3pUjqqN9ZBljjDHGGGOMMcYYY6yM+BmijDHGGGOMMcYYY4yxBoMbRBljtYK5uTnU1dWLfBU18jtjjDHGGGOMMcZYefAt84yxWuHp06fIysoqcl6zZs2goaFRzRExxhhjjDHGGGOsPuIGUcYYY4wxxhhjjDHGWIPBt8wzxhhjjDHGGGOMMcYaDG4QZYwxxhhjjDHGGGOMNRjcIMoYY4wxxhhjjDHGGGswuEGUMcYYY4wxxhhjjDHWYHCDKGNVZOzYsRg6dKjw/qOPPsK3335b7XFcunQJcnJyePPmTbFl5OTkcOLECZnXuXLlSnTu3LlCccXHx0NOTg4REREVWg9jjNUlvr6+0NbWrukwyk2WfFEw/zUky5cvx6RJk6plW7LkdwBo1aoVNm3aVKWxlHUblfU9KOv5iywiIyPRokULvHv3rlLXyxhj1S3/MVLWa6/o6Gjo6enh7du3VR8gZMsflXHtWZrybKMyclBVnTP16tULv/76a6Wvt77hBlHWoIwdOxZycnKQk5ODSCRC27Zt4enpiezs7Crf9rFjx7Bq1SqZysp6kcMYY6z65c8l+V9Pnjyp6dDg6+srxCMvL48WLVrgm2++wcuXLytl/YmJifjss88AFH9xtXnzZvj6+lbK9oqzcuVKoZ4KCgowNDTEpEmTkJycXKb1VOaFSFJSEjZv3oylS5dKrb+qzjtsbGyQmJgILS0tAMU3Mt68ebPaGmnrgtWrV8PGxgaqqqpF7q8OHTqgV69e2LBhQ/UHxxirF/If+5WUlNC6dWssWLAA79+/r+nQSrV48WLMmDEDGhoaAP53XZr3atasGYYPH47Y2NhK2V7BHFVUI+O8efMQHBxcKdurDy5fvoxBgwbBwMCg2EbZZcuWYdGiRZBIJNUfYB3CDaKswXFwcEBiYiIeP36MuXPnYuXKlVi3bl2RZTMzMyttu40bNxYSC2OMsbotL5fkf7Vu3bqmwwIAaGpqIjExEX///Tf27NmDs2fPYvTo0ZWybj09PYjF4hLLaGlpVUsvWHNzcyQmJiIhIQE+Pj4IDAzE1KlTq3y7xdm7dy9sbGxgZGQkNb0s5x1lIRKJoKenBzk5uRLLNW3aFKqqqhXeXn2RmZkJJyenEj8r33zzDXbu3FktP5gzxuqnvGN/bGwsNm7ciB9//BHu7u41HVaJEhIS8Pvvv2Ps2LGF5kVHR+P58+c4evQo/vzzTwwaNAg5OTkV3qYsOUpdXR1NmjSp8Lbqi3fv3sHS0hLbt28vtsxnn32Gt2/f4uzZs9UYWd3DDaKswRGLxdDT04ORkRGmTp0KOzs7nDp1CsD/eoqsXr0aBgYGMDMzAwA8e/YMI0aMgLa2Nho3bowhQ4YgPj5eWGdOTg7mzJkDbW1tNGnSBAsWLAARSW234C3zHz58wMKFC2FoaAixWIy2bdti3759iI+Px8cffwwAaNSoEeTk5ISkJJFI4OXlhdatW0NFRQWWlpb45ZdfpLZz5swZmJqaQkVFBR9//LFUnLJauHAhTE1NoaqqCmNjYyxfvhxZWVmFyv34448wNDSEqqoqRowYgZSUFKn5e/fuRfv27aGsrIx27dphx44dZY6FMcZqo7xckv+loKCADRs2oFOnTlBTU4OhoSGmTZuGtLS0Ytdz7949fPzxx9DQ0ICmpia6deuGW7duCfPDwsLQt29fqKiowNDQEDNnziz1Vl45OTno6enBwMAAn332GWbOnIkLFy4gIyMDEokEnp6eaNGiBcRiMTp37ozAwEBh2czMTLi5uUFfXx/KysowMjKCl5eX1LrzeiLkNQB36dIFcnJy+OijjwBI97rcvXs3DAwMCvVQGDJkCMaNGye8P3nyJLp27QplZWUYGxvDw8Oj1MYoRUVF6OnpoXnz5rCzs4OTkxOCgoKE+Tk5ORg/fryQM83MzLB582Zh/sqVK3HgwAGcPHlS6Ply6dIlAKXn/aL4+/tj0KBBhaaXdN7x+vVrjBkzBo0aNYKqqio+++wzPH78WFj26dOnGDRoEBo1agQ1NTWYm5vjzJkzAKTvJrl06RK++eYbpKSkCHVZuXIlAOnbEUeNGoWRI0dKxZeVlQUdHR0cPHgQgGznGqWR9Xtw4sQJmJiYQFlZGfb29nj27JnU/PJ8Lkrj4eGB2bNno1OnTsWWGTBgAJKTk/HHH39UaFuMsYYr79hvaGiIoUOHws7OTipHyXKs/fPPP/H5559DU1MTGhoa6Nu3L2JiYgDk9qwcMGAAdHR0oKWlBVtbW9y5c6dCMR85cgSWlpZo3rx5oXm6urrQ19dHv379sGLFCkRGRgp3xuzcuRNt2rSBSCSCmZkZDh06JCxHRFi5ciVatmwJsVgMAwMDzJw5U5ifP0e1atUKADBs2DDIyckJ7/Pfzn7+/HkoKysXupNy1qxZ+OSTT4T35Tl/yk/W/Zt354yKigqMjY0L/Q/Lcz5Rms8++wzfffcdhg0bVmwZBQUFODo6wt/fv0Lbqu+4QZQ1eCoqKlI9QYODgxEdHY2goCD8/vvvyMrKgr29PTQ0NBAaGorw8HCoq6vDwcFBWM7b2xu+vr7Yv38/wsLCkJycjOPHj5e43TFjxuDnn3/Gli1bEBUVhR9//BHq6uowNDQUnvcRHR2NxMRE4QLOy8sLBw8exK5du/Dnn39i9uzZ+Prrr4UT9mfPnuGLL77AoEGDEBERgQkTJmDRokVl3icaGhrw9fVFZGQkNm/ejD179mDjxo1SZZ48eYIjR47gt99+Q2BgIO7evYtp06YJ8/38/LBixQqsXr0aUVFRWLNmDZYvX44DBw6UOR7GGKsr5OXlsWXLFvz55584cOAALl68iAULFhRb3sXFBS1atMDNmzdx+/ZtLFq0CEpKSgCAmJgYODg4YPjw4bh//z4CAgIQFhYGNze3MsWkoqICiUSC7OxsbN68Gd7e3li/fj3u378Pe3t7DB48WGiE27JlC06dOoUjR44gOjoafn5+wgVJQTdu3AAAXLhwAYmJiTh27FihMk5OTvjvv/8QEhIiTEtOTkZgYCBcXFwAAKGhoRgzZgxmzZqFyMhI/Pjjj/D19cXq1atlrmN8fDzOnTsHkUgkTJNIJGjRogWOHj2KyMhIrFixAkuWLMGRI0cA5N6CN2LECKnevjY2NjLl/YKSk5MRGRmJ7t27lxpr/vOOsWPH4tatWzh16hSuXr0KIoKjo6PwI+T06dPx4cMHXL58GQ8ePMD3338PdXX1Quu0sbHBpk2bhN7BiYmJmDdvXqFyLi4u+O2336QaJ8+dO4f09HThwqq0cw1ZyPI9SE9Px+rVq3Hw4EGEh4fjzZs3cHZ2FuaX53Px0UcfFdmzqaxEIhE6d+6M0NDQCq+LMcYePnyIK1euSOWo0o61//zzD/r16wexWIyLFy/i9u3bGDdunPCj0Nu3b+Hq6oqwsDBcu3YNJiYmcHR0rNCzP0NDQ2XOY0Duj6jHjx/HrFmzMHfuXDx8+BCTJ0/GN998I+T9X3/9Vegh+/jxY5w4caLYH6Ru3rwJAPDx8UFiYqLwPr/+/ftDW1tb6vmYOTk5CAgIEM4rKuP8Sdb9u3z5cgwfPhz37t2Di4sLnJ2dERUVBQDlOp/Ie/RRZejZsyfnsdIQYw2Iq6srDRkyhIiIJBIJBQUFkVgspnnz5gnzmzVrRh8+fBCWOXToEJmZmZFEIhGmffjwgVRUVOjcuXNERKSvr08//PCDMD8rK4tatGghbIuIyNbWlmbNmkVERNHR0QSAgoKCiowzJCSEANDr16+Fae/fvydVVVW6cuWKVNnx48fTV199RUREixcvpg4dOkjNX7hwYaF1FQSAjh8/Xuz8devWUbdu3YT37u7upKCgQH///bcw7ezZsyQvL0+JiYlERNSmTRs6fPiw1HpWrVpF1tbWREQUFxdHAOju3bvFbpcxxmojV1dXUlBQIDU1NeH15ZdfFln26NGj1KRJE+G9j48PaWlpCe81NDTI19e3yGXHjx9PkyZNkpoWGhpK8vLylJGRUeQyBdf/6NEjMjU1pe7duxMRkYGBAa1evVpqmR49etC0adOIiGjGjBn0ySefSOW8/PLni+KO4/lzLRHRkCFDaNy4ccL7H3/8kQwMDCgnJ4eIiPr3709r1qyRWsehQ4dIX1+/yBiIcvOQvLw8qampkbKyMgEgALRhw4ZilyEimj59Og0fPrzYWPO2XVreL+ju3bsEgBISEqSml3Te8ejRIwJA4eHhQvlXr16RiooKHTlyhIiIOnXqRCtXrixymwXPFQr+7/MYGRnRxo0biSj3/ERHR4cOHjwozP/qq69o5MiRRCTbuUZR8m+jKEV9DwDQtWvXhGlRUVEEgK5fv05Esn0uCp6/jB49mhYtWlRsHPkVt7/yDBs2jMaOHSvTuhhjLL/85wlisZgAkLy8PP3yyy9EJPt1XevWrSkzM1Ombebk5JCGhgb99ttvwjRZcnZ+lpaW5OnpKTWtYK55/vw52djYUPPmzenDhw9kY2NDEydOlFrGycmJHB0diYjI29ubTE1Ni61HwfxR1HWpu7s7WVpaCu9nzZpFn3zyifD+3LlzJBaLhRjLc/5UcBsFFbd/p0yZIlXOysqKpk6dSkSynU8UPA85duwYmZmZFRtHQSVdx588eZLk5eWF8y1WmGJ1Nr4yVhv8/vvvUFdXR1ZWFiQSCUaNGiXcVgYAnTp1kvr17t69e3jy5Emh53++f/8eMTExSElJQWJiIqysrIR5ioqK6N69e6Hb5vNERERAQUEBtra2Msf95MkTpKenY8CAAVLTMzMz0aVLFwBAVFSUVBwAYG1tLfM28gQEBGDLli2IiYlBWloasrOzoampKVWmZcuWUrdTWFtbQyKRIDo6GhoaGoiJicH48eMxceJEoUx2drYw+ANjjNVlH3/8MXbu3Cm8V1NTA5DbW9LLywt//fUXUlNTkZ2djffv3yM9Pb3IZ2TNmTMHEyZMwKFDh4Tbvtu0aQMgN//cv38ffn5+QnkigkQiQVxcHNq3b19kbCkpKVBXV4dEIsH79+/Rp08f7N27F6mpqXj+/Dl69+4tVb537964d+8egNweiwMGDICZmRkcHBzw+eef49NPP63QvnJxccHEiROxY8cOiMVi+Pn5wdnZGfLy8kI9w8PDpXr+5eTklLjfAMDMzAynTp3C+/fv8dNPPyEiIgIzZsyQKrN9+3bs378fCQkJyMjIQGZmZqmjyJaW94uSkZEBAFBWVi40r7jzjuDgYCgqKkrl7SZNmsDMzEzoXTJz5kxMnToV58+fh52dHYYPHw4LC4sS4y+JoqIiRowYAT8/P4wePRrv3r3DyZMnhVvqZDnXkIUs3wNFRUX06NFDWKZdu3bQ1tZGVFQUevbsWa7PRd5t/5VBRUUF6enplbY+xljDknee8O7dO2zcuBGKiooYPnw4ANmOtREREejbt69w10hBL168wLJly3Dp0iW8fPkSOTk5SE9PR0JCQrljzsjIKDKPAUCLFi1AREhPT4elpSV+/fVXiEQiREVFFRq4r3fv3sIdjk5OTti0aROMjY3h4OAAR0dHDBo0CIqK5W+KcnFxQa9evfD8+XMYGBjAz88PAwcOFJ5fXt7zp/xk3b8Fr7Wtra2FwSbLcz4xbNiwEm+FL4u8O4Q+fPgg9Opl0rhBlDU4eclJJBLBwMCg0ME476I2T1paGrp16yZ1QM3TtGnTcsVQngNS3u1tp0+fLvRcl9IGuCiLq1evwsXFBR4eHrC3t4eWlhb8/f3h7e1d5lj37NlTqIFWQUGh0mJljLGaoqamhrZt20pNi4+Px+eff46pU6di9erVaNy4McLCwjB+/HhkZmYW2YCzcuVKjBo1CqdPn8bZs2fh7u4Of39/DBs2DGlpaZg8ebLUs7bytGzZstjYNDQ0cOfOHcjLy0NfX1/IOampqaXWq2vXroiLi8PZs2dx4cIFjBgxAnZ2dmV+hmR+gwYNAhHh9OnT6NGjB0JDQ6Uew5KWlgYPDw988cUXhZYt7sIMgDBqOwCsXbsWAwcOhIeHB1atWgUg95me8+bNg7e3N6ytraGhoYF169bh+vXrJcZbnryvo6MDIPeZoAXLlHbeUZIJEybA3t4ep0+fxvnz5+Hl5QVvb+9CDb9l4eLiAltbW7x8+RJBQUFQUVGBg4MDgMo51yjP96Ao5f1cVJbk5GThxwnGGCur/OcJ+/fvh6WlJfbt24fx48fLdKwt7XrR1dUV//33HzZv3gwjIyOIxWJYW1tXaFBgHR0dvH79ush5oaGh0NTUhK6ubpkGCjY0NER0dDQuXLiAoKAgTJs2DevWrcMff/xRbGNvaXr06IE2bdrA398fU6dOxfHjx+Hr6yvML+/5U36VsX+roh2hLJKTk6GmpsaNoSXgBlHW4BR1EVuSrl27IiAgALq6uoV6SebR19fH9evX0a9fPwC5PSFv376Nrl27Flm+U6dOkEgk+OOPP2BnZ1dofl4P1fwj93Xo0AFisRgJCQnF9ixt3769MFBDnmvXrpVeyXyuXLkCIyMjLF26VJj29OnTQuUSEhKEX+XytiMvLw8zMzM0a9YMBgYGiI2NFZ7lwhhj9d3t27chkUjg7e0t9H7Me15lSUxNTWFqaorZs2fjq6++go+PD4YNG4auXbsiMjKyTDkLyH1+Y1HLaGpqwsDAAOHh4VJ5JDw8HD179pQqN3LkSIwcORJffvklHBwckJycjMaNG0utr6hcVRRlZWV88cUX8PPzw5MnT2BmZiaVH7t27Yro6Ogy17OgZcuW4ZNPPsHUqVOFetrY2Eg937pgjwyRSFQoflnyfkFt2rSBpqYmIiMjYWpqKjWvuPOO9u3bIzs7G9evX4eNjQ0A4L///kN0dDQ6dOgglDM0NMSUKVMwZcoULF68GHv27CmyQbSouhTFxsYGhoaGCAgIwNmzZ+Hk5CRclMpyrlEaWb8H2dnZuHXrlvDZi46Oxps3b4SeO5X1uSivhw8f4ssvv6yRbTPG6hd5eXksWbIEc+bMwahRo2Q61lpYWODAgQPIysoqsuEwPDwcO3bsgKOjI4DcsSRevXpVoTi7dOmCyMjIIue1bt1a6IGZX/v27REeHg5XV1ep2PLnMRUVFQwaNAiDBg3C9OnT0a5dOzx48KDIa2UlJSWZcpmLiwv8/PzQokULyMvLY+DAgcK88p4/5Sfr/r127RrGjBkj9T6vl295zicq08OHD8t0d0dDxIMqMVYKFxcX6OjoYMiQIQgNDUVcXBwuXbqEmTNn4u+//waQO6rd2rVrceLECfz111+YNm1aoZHv8mvVqhVcXV0xbtw4nDhxQlhn3gWDkZER5OTk8Pvvv+Pff/9FWloaNDQ0MG/ePMyePRsHDhxATEwM7ty5g61btwoDFU2ZMgWPHz/G/PnzER0djcOHD0v9WiYLExMTJCQkwN/fHzExMdiyZUuRA0QpKyvD1dUV9+7dQ2hoKGbOnIkRI0ZAT08PQO4orl5eXtiyZQsePXqEBw8ewMfHBxs2bChTPIwxVle0bdsWWVlZ2Lp1K2JjY3Ho0CHs2rWr2PIZGRlwc3PDpUuX8PTpU4SHh+PmzZtCg9DChQtx5coVuLm5ISIiAo8fP8bJkyfLPKhSfvPnz8f333+PgIAAREdHY9GiRYiIiMCsWbMA5I4O/vPPP+Ovv/7Co0ePcPToUejp6RV5EaSrqwsVFRUEBgbixYsXSElJKXa7Li4uOH36NPbv31/oh7IVK1bg4MGD8PDwwJ9//omoqCj4+/tj2bJlZaqbtbU1LCwssGbNGgC5+ezWrVs4d+4cHj16hOXLlxcaoKFVq1a4f/8+oqOj8erVK2RlZcmU9wuSl5eHnZ0dwsLCZI7XxMQEQ4YMwcSJExEWFoZ79+7h66+/RvPmzTFkyBAAwLfffotz584hLi4Od+7cQUhISLG3+rVq1QppaWkIDg7Gq1evSrzde9SoUdi1axeCgoKk/h+ynGuURtbvgZKSEmbMmIHr16/j9u3bGDt2LHr16iU0kJbnczFmzBgsXry4xPgSEhIQERGBhIQE5OTkICIiAhEREVIDTcXHx+Off/4p8kdrxhgrDycnJygoKGD79u0yHWvd3NyQmpoKZ2dn3Lp1C48fP8ahQ4cQHR0NIDeHHDp0CFFRUbh+/TpcXFwq3BPQ3t4eV69elalBMs/8+fPh6+uLnTt34vHjx9iwYQOOHTsmDOzn6+uLffv24eHDh4iNjcVPP/0EFRUVGBkZFbm+Vq1aITg4GElJScX2VgVyzyvu3LmD1atX48svv5S6i6Eyzp9k3b9Hjx7F/v378ejRI7i7u+PGjRvCdspzPnH8+HG0a9euxNjS0tKE3AUAcXFxQl7LLzQ0tMKPPar3avQJpoxVs6IGT5BlfmJiIo0ZM4Z0dHRILBaTsbExTZw4kVJSUogod5CCWbNmkaamJmlra9OcOXNozJgxxQ6qRESUkZFBs2fPJn19fRKJRNS2bVvav3+/MN/T05P09PRITk6OXF1diSh3QIZNmzaRmZkZKSkpUdOmTcne3p7++OMPYbnffvuN2rZtS2KxmPr27Uv79+8v86BK8+fPpyZNmpC6ujqNHDmSNm7cKDXwQN5Dp3fs2EEGBgakrKxMX375JSUnJ0ut18/Pjzp37kwikYgaNWpE/fr1o2PHjhERD6rEGKu7SsolGzZsIH19fVJRUSF7e3s6ePBgsQPffPjwgZydncnQ0JBEIhEZGBiQm5ub1AP/b9y4QQMGDCB1dXVSU1MjCwuLQoMi5VfaQDE5OTm0cuVKat68OSkpKZGlpSWdPXtWmL97927q3LkzqampkaamJvXv35/u3LkjzC+YL/bs2UOGhoYkLy9Ptra2xe6fnJwc0tfXJwAUExNTKK7AwECysbEhFRUV0tTUpJ49e9Lu3buLrUdxgx/8/PPPJBaLKSEhgd6/f09jx44lLS0t0tbWpqlTp9KiRYuklnv58qWwfwFQSEgIEZWe94ty5swZat68udTgBaWddyQnJ9Po0aNJS0tL+Mw8evRImO/m5kZt2rQhsVhMTZs2pdGjR9OrV6+IqOgBGKdMmUJNmjQhAOTu7k5ERQ94FBkZSQDIyMio0ABaspxrFFRwG7J+D3799VcyNjYmsVhMdnZ29PTpU6n1lva5KPh5tLW1Fc6ZiuPq6ioMwpX/lfe/JyJas2YN2dvbl7gexhgrTnHHfi8vL2ratCmlpaXJdKy9d+8effrpp6SqqkoaGhrUt29fIYfeuXOHunfvTsrKymRiYkJHjx4tcYAiWa69srKyyMDAgAIDA4VpReWagnbs2EHGxsakpKREpqamUgP3HT9+nKysrEhTU5PU1NSoV69edOHCBWF+wZhPnTpFbdu2JUVFRTIyMiKi4nN+z549CQBdvHix0Lyynj8V3Ias+3f79u00YMAAEovF1KpVKwoICJBab2nnEwU/K3mDDpYk739S8JU///3999+kpKREz549K3FdDZ0cUTGjvjDGGGOMMcZkQkSwsrISHn3A6qbMzEyYmJjg8OHDhQYgY4yx+m779u04deoUzp07V9OhsApYuHAhXr9+jd27d9d0KLUaP0OUMcYYY4yxCpKTk8Pu3bvx4MGDmg6FVUBCQgKWLFnCjaGMsQZp8uTJePPmDd6+fVumwZNY7aKrq4s5c+bUdBi1HvcQZYwxxhhjjDHGGGOMNRg8qBJjjDHGGGOMMcYYY6zB4AZRxhhjjDHGGGOMMcZYg8ENoowxxhhjjDHGGGOMsQaDG0QZY4wxxhhjjDHGGGMNBjeIMsYYY4wxxhhjjDHGGgxuEGWMMcYYY4wxxhhjjDUY3CDKGGOMMcYYY4wxxhhrMLhBlDHGGGOMMcYYY4wx1mBwgyhjjDHGGGOMMcYYY6zB+D/l8td89KZ17QAAAABJRU5ErkJggg==\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "              precision  recall  f1-score  support\n",
       "shoes               1.0     1.0       1.0     87.0\n",
       "no_shoes            1.0     1.0       1.0     33.0\n",
       "accuracy            1.0     1.0       1.0      1.0\n",
       "macro avg           1.0     1.0       1.0    120.0\n",
       "weighted avg        1.0     1.0       1.0    120.0"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-d0bd024a-91d8-41e3-905a-b0d54160e2f1\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>shoes</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_shoes</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d0bd024a-91d8-41e3-905a-b0d54160e2f1')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-d0bd024a-91d8-41e3-905a-b0d54160e2f1 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-d0bd024a-91d8-41e3-905a-b0d54160e2f1');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1-score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 53.37321425584186,\n        \"min\": 1.0,\n        \"max\": 120.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          33.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "YOLOv8n-cls summary: 56 layers, 2,719,288 parameters, 2,719,288 gradients, 3.4 GFLOPs\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "              precision    recall  f1-score     support\n",
       "shoes          1.000000  0.954023  0.976471   87.000000\n",
       "no_shoes       0.891892  1.000000  0.942857   33.000000\n",
       "accuracy       0.966667  0.966667  0.966667    0.966667\n",
       "macro avg      0.945946  0.977011  0.959664  120.000000\n",
       "weighted avg   0.970270  0.966667  0.967227  120.000000"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-db692399-bd2f-475c-a421-2e3dc6e42283\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>shoes</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.954023</td>\n",
       "      <td>0.976471</td>\n",
       "      <td>87.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_shoes</th>\n",
       "      <td>0.891892</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.942857</td>\n",
       "      <td>33.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.966667</td>\n",
       "      <td>0.966667</td>\n",
       "      <td>0.966667</td>\n",
       "      <td>0.966667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.945946</td>\n",
       "      <td>0.977011</td>\n",
       "      <td>0.959664</td>\n",
       "      <td>120.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.970270</td>\n",
       "      <td>0.966667</td>\n",
       "      <td>0.967227</td>\n",
       "      <td>120.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-db692399-bd2f-475c-a421-2e3dc6e42283')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-db692399-bd2f-475c-a421-2e3dc6e42283 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-db692399-bd2f-475c-a421-2e3dc6e42283');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04018361396065624,\n        \"min\": 0.8918918918918919,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8918918918918919,\n          0.9702702702702702,\n          0.9666666666666667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01721453849452077,\n        \"min\": 0.9540229885057471,\n        \"max\": 1.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.0,\n          0.9770114942528736,\n          0.9540229885057471\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1-score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.012537321978971939,\n        \"min\": 0.9428571428571428,\n        \"max\": 0.9764705882352941,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9428571428571428,\n          0.9672268907563025,\n          0.9666666666666667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 53.384331867027136,\n        \"min\": 0.9666666666666667,\n        \"max\": 120.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          33.0,\n          120.0,\n          87.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "def restore_model(path):\n",
    "    checkpoint = load_checkpoint(path)\n",
    "    model = build_model(checkpoint['architecture'],pretrained=False)\n",
    "    model.load_state_dict(checkpoint['model_state']); model.eval()\n",
    "    return model,checkpoint\n",
    "\n",
    "def wilson_interval(successes,total,z=1.96):\n",
    "    if total == 0: return [None,None]\n",
    "    p = successes/total; denom = 1+z*z/total\n",
    "    center = (p+z*z/(2*total))/denom\n",
    "    radius = z*math.sqrt(p*(1-p)/total+z*z/(4*total*total))/denom\n",
    "    return [center-radius,center+radius]\n",
    "\n",
    "def benchmark_forward(model,image_tensor,repeats=30):\n",
    "    image_tensor = image_tensor.unsqueeze(0).to(DEVICE)\n",
    "    def sync():\n",
    "        if DEVICE.type=='cuda': torch.cuda.synchronize()\n",
    "    durations = []\n",
    "    with torch.inference_mode():\n",
    "        for _ in range(5): get_logits(model,image_tensor)\n",
    "        sync()\n",
    "        for _ in range(repeats):\n",
    "            sync(); begin = time.perf_counter(); get_logits(model,image_tensor); sync()\n",
    "            durations.append(1000*(time.perf_counter()-begin))\n",
    "    return {'forward_median_ms':float(np.median(durations)),\n",
    "            'forward_p90_ms':float(np.percentile(durations,90)), 'benchmark_device':str(DEVICE)}\n",
    "\n",
    "def test_one(task,name):\n",
    "    folder = RUN_DIR/task/name\n",
    "    best_path = folder/'best.pt'\n",
    "    signature = {'checkpoint_sha256':sha256_file(best_path),'data_fingerprint':DATA_FINGERPRINT}\n",
    "    cached_path = folder/'test_metrics.json'\n",
    "    if cached_path.exists():\n",
    "        cached = json.loads(cached_path.read_text())\n",
    "        if cached.get('signature') == signature:\n",
    "            print('Using cached test evaluation:',task,name)\n",
    "            if (folder/'test_evaluation.png').exists():\n",
    "                display(Image.open(folder/'test_evaluation.png').copy())\n",
    "            if (folder/'classification_report.json').exists():\n",
    "                display(pd.DataFrame(json.loads((folder/'classification_report.json').read_text())).T)\n",
    "            return cached\n",
    "        raise ValueError('Test was already evaluated with another checkpoint/data. Use a new experiment and report any repeated test use.')\n",
    "    model,checkpoint = restore_model(best_path)\n",
    "    rows = manifest[(manifest.label.isin(TASK_CLASSES[task])) & (manifest.split=='test')].reset_index(drop=True)\n",
    "    loader = make_loader(rows,task,name)\n",
    "    output = evaluate_loader(model,loader,nn.CrossEntropyLoss())\n",
    "    y,pred,prob = output['y'],output['pred'],output['probabilities'][:,1]\n",
    "    precision,recall,f1,support = precision_recall_fscore_support(y,pred,labels=[0,1],zero_division=0)\n",
    "    cm = confusion_matrix(y,pred,labels=[0,1])\n",
    "    report = classification_report(y,pred,labels=[0,1],target_names=TASK_CLASSES[task],output_dict=True,zero_division=0)\n",
    "    (folder/'classification_report.json').write_text(json.dumps(report,indent=2))\n",
    "    predictions = rows[['source_id','group','crop_path','label']].copy()\n",
    "    predictions['true_id'] = y; predictions['predicted_id'] = pred\n",
    "    predictions['probability_missing'] = prob\n",
    "    predictions['predicted_label'] = [TASK_CLASSES[task][i] for i in pred]\n",
    "    predictions.to_csv(folder/'test_predictions.csv',index=False)\n",
    "    metrics = {'task':task,'model':name,'test_accuracy':float(output['accuracy']),\n",
    "        'test_macro_f1':float(output['macro_f1']),\n",
    "        'test_balanced_accuracy':float(balanced_accuracy_score(y,pred)),\n",
    "        'missing_precision':float(precision[1]),'missing_recall':float(recall[1]),\n",
    "        'missing_f1':float(f1[1]),'roc_auc':float(roc_auc_score(y,prob)),\n",
    "        'average_precision_missing':float(average_precision_score(y,prob)),\n",
    "        'test_crops':len(y),'test_groups':rows.group.nunique(),\n",
    "        'missing_support':int(support[1]),'present_support':int(support[0]),\n",
    "        'false_missing':int(cm[0,1]),'missed_missing':int(cm[1,0]),\n",
    "        'missing_recall_wilson95_crop_level':wilson_interval(int(cm[1,1]),int(support[1])),\n",
    "        'best_epoch':checkpoint['epoch']+1,'best_val_macro_f1':checkpoint['best_score'],\n",
    "        'parameters':sum(p.numel() for p in model.parameters()),'signature':signature,\n",
    "        'checkpoint_mb':best_path.stat().st_size/(1024**2)}\n",
    "    metrics.update(benchmark_forward(model,loader.dataset[0][0]))\n",
    "    fig,axes = plt.subplots(1,3,figsize=(15,4))\n",
    "    ConfusionMatrixDisplay(cm,display_labels=TASK_CLASSES[task]).plot(ax=axes[0],colorbar=False,cmap='Blues')\n",
    "    RocCurveDisplay.from_predictions(y,prob,ax=axes[1],name=name)\n",
    "    PrecisionRecallDisplay.from_predictions(y,prob,ax=axes[2],name=name)\n",
    "    axes[0].set_title('Test confusion matrix'); axes[2].set_title('Missing-class precision–recall')\n",
    "    plt.suptitle(f'{task} / {name}'); plt.tight_layout()\n",
    "    plt.savefig(folder/'test_evaluation.png',dpi=150); plt.show()\n",
    "    display(pd.DataFrame(report).T)\n",
    "    cached_path.write_text(json.dumps(metrics,indent=2))\n",
    "    del model\n",
    "    if DEVICE.type=='cuda': torch.cuda.empty_cache()\n",
    "    return metrics\n",
    "\n",
    "test_results = [test_one(task,name) for task in TASK_CLASSES for name in MODEL_NAMES]\n"
   ],
   "id": "ppe-027"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-028"
   },
   "source": [
    "## Model comparison\n",
    "\n",
    "Sort by validation macro F1 within each task. Report held-out scores for the fixed checkpoints. This is one seed with inferred source groups; repeat across seeds and independent sessions before drawing architecture-level conclusions.\n",
    "\n",
    "Latency is a warmed-up, batch-one network forward pass on the recorded device. It excludes capture, detection, cropping, preprocessing, and task rules. It is not an end-to-end or Raspberry Pi benchmark.\n"
   ],
   "id": "ppe-028"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "comparison"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 665
    },
    "id": "ppe-029",
    "outputId": "9535a914-eaf4-49c4-905c-4629ffc3ab8a"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "    task            model  best_epoch  best_val_macro_f1  test_accuracy  \\\n",
       "0   mask         resnet50           4             1.0000         0.9655   \n",
       "1   mask  efficientnet_b0           1             1.0000         0.9655   \n",
       "2   mask      yolov8n_cls           2             1.0000         0.9770   \n",
       "4  shoes  efficientnet_b0           9             1.0000         1.0000   \n",
       "3  shoes         resnet50           4             0.9888         0.9000   \n",
       "5  shoes      yolov8n_cls          12             0.9720         0.9667   \n",
       "\n",
       "   test_macro_f1  missing_precision  missing_recall  missing_f1  test_crops  \\\n",
       "0         0.9537             0.9697          0.9846      0.9771          87   \n",
       "1         0.9550             0.9844          0.9692      0.9767          87   \n",
       "2         0.9686             0.9701          1.0000      0.9848          87   \n",
       "4         1.0000             1.0000          1.0000      1.0000         120   \n",
       "3         0.8860             0.7333          1.0000      0.8462         120   \n",
       "5         0.9597             0.8919          1.0000      0.9429         120   \n",
       "\n",
       "   test_groups  parameters  checkpoint_mb  forward_median_ms  forward_p90_ms  \\\n",
       "0            3    23512130        89.9794            10.2880         12.7651   \n",
       "1            3     4010110        15.5651            10.9273         15.7647   \n",
       "2            3     1440850         5.5675             3.4685          3.7091   \n",
       "4            4     4010110        15.5658             9.0907         10.4232   \n",
       "3            4    23512130        89.9794             6.7397          7.0729   \n",
       "5            4     1440850         5.5684             3.6611          3.9587   \n",
       "\n",
       "  benchmark_device  \n",
       "0             cuda  \n",
       "1             cuda  \n",
       "2             cuda  \n",
       "4             cuda  \n",
       "3             cuda  \n",
       "5             cuda  "
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-b59126b4-9bf8-46eb-9946-a776c8ed819d\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>task</th>\n",
       "      <th>model</th>\n",
       "      <th>best_epoch</th>\n",
       "      <th>best_val_macro_f1</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>test_macro_f1</th>\n",
       "      <th>missing_precision</th>\n",
       "      <th>missing_recall</th>\n",
       "      <th>missing_f1</th>\n",
       "      <th>test_crops</th>\n",
       "      <th>test_groups</th>\n",
       "      <th>parameters</th>\n",
       "      <th>checkpoint_mb</th>\n",
       "      <th>forward_median_ms</th>\n",
       "      <th>forward_p90_ms</th>\n",
       "      <th>benchmark_device</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mask</td>\n",
       "      <td>resnet50</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.9655</td>\n",
       "      <td>0.9537</td>\n",
       "      <td>0.9697</td>\n",
       "      <td>0.9846</td>\n",
       "      <td>0.9771</td>\n",
       "      <td>87</td>\n",
       "      <td>3</td>\n",
       "      <td>23512130</td>\n",
       "      <td>89.9794</td>\n",
       "      <td>10.2880</td>\n",
       "      <td>12.7651</td>\n",
       "      <td>cuda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mask</td>\n",
       "      <td>efficientnet_b0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.9655</td>\n",
       "      <td>0.9550</td>\n",
       "      <td>0.9844</td>\n",
       "      <td>0.9692</td>\n",
       "      <td>0.9767</td>\n",
       "      <td>87</td>\n",
       "      <td>3</td>\n",
       "      <td>4010110</td>\n",
       "      <td>15.5651</td>\n",
       "      <td>10.9273</td>\n",
       "      <td>15.7647</td>\n",
       "      <td>cuda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mask</td>\n",
       "      <td>yolov8n_cls</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.9770</td>\n",
       "      <td>0.9686</td>\n",
       "      <td>0.9701</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.9848</td>\n",
       "      <td>87</td>\n",
       "      <td>3</td>\n",
       "      <td>1440850</td>\n",
       "      <td>5.5675</td>\n",
       "      <td>3.4685</td>\n",
       "      <td>3.7091</td>\n",
       "      <td>cuda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>shoes</td>\n",
       "      <td>efficientnet_b0</td>\n",
       "      <td>9</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>120</td>\n",
       "      <td>4</td>\n",
       "      <td>4010110</td>\n",
       "      <td>15.5658</td>\n",
       "      <td>9.0907</td>\n",
       "      <td>10.4232</td>\n",
       "      <td>cuda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>shoes</td>\n",
       "      <td>resnet50</td>\n",
       "      <td>4</td>\n",
       "      <td>0.9888</td>\n",
       "      <td>0.9000</td>\n",
       "      <td>0.8860</td>\n",
       "      <td>0.7333</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.8462</td>\n",
       "      <td>120</td>\n",
       "      <td>4</td>\n",
       "      <td>23512130</td>\n",
       "      <td>89.9794</td>\n",
       "      <td>6.7397</td>\n",
       "      <td>7.0729</td>\n",
       "      <td>cuda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>shoes</td>\n",
       "      <td>yolov8n_cls</td>\n",
       "      <td>12</td>\n",
       "      <td>0.9720</td>\n",
       "      <td>0.9667</td>\n",
       "      <td>0.9597</td>\n",
       "      <td>0.8919</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.9429</td>\n",
       "      <td>120</td>\n",
       "      <td>4</td>\n",
       "      <td>1440850</td>\n",
       "      <td>5.5684</td>\n",
       "      <td>3.6611</td>\n",
       "      <td>3.9587</td>\n",
       "      <td>cuda</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b59126b4-9bf8-46eb-9946-a776c8ed819d')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-b59126b4-9bf8-46eb-9946-a776c8ed819d button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-b59126b4-9bf8-46eb-9946-a776c8ed819d');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"plt\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"task\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"shoes\",\n          \"mask\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"resnet50\",\n          \"efficientnet_b0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"best_epoch\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 12,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1,\n          12\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"best_val_macro_f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.011430952132988174,\n        \"min\": 0.972,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1.0,\n          0.9888\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"test_accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03334179059378784,\n        \"min\": 0.9,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.977,\n          0.9667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"test_macro_f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03738067236777138,\n        \"min\": 0.886,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.9537,\n          0.955\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"missing_precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.10102465045720278,\n        \"min\": 0.7333,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.9697,\n          0.9844\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"missing_recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.012884564408624778,\n        \"min\": 0.9692,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.9846,\n          0.9692\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"missing_f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0563121804467441,\n        \"min\": 0.8462,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.9771,\n          0.9767\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"test_crops\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 18,\n        \"min\": 87,\n        \"max\": 120,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          120,\n          87\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"test_groups\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 3,\n        \"max\": 4,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          4,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"parameters\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10795500,\n        \"min\": 1440850,\n        \"max\": 23512130,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          23512130,\n          4010110\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"checkpoint_mb\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 41.251551652319705,\n        \"min\": 5.5675,\n        \"max\": 89.9794,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          15.5651,\n          5.5684\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"forward_median_ms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2712230836492946,\n        \"min\": 3.4685,\n        \"max\": 10.9273,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          10.288,\n          10.9273\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"forward_p90_ms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.879939520834249,\n        \"min\": 3.7091,\n        \"max\": 15.7647,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          12.7651,\n          15.7647\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"benchmark_device\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"cuda\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Validation-selected models: {'mask': 'resnet50', 'shoes': 'efficientnet_b0'}\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "comparison = pd.DataFrame(test_results).sort_values(['task','best_val_macro_f1'],ascending=[True,False])\n",
    "comparison.to_csv(RUN_DIR/'model_comparison.csv',index=False)\n",
    "columns = ['task','model','best_epoch','best_val_macro_f1','test_accuracy','test_macro_f1',\n",
    "    'missing_precision','missing_recall','missing_f1','test_crops','test_groups',\n",
    "    'parameters','checkpoint_mb','forward_median_ms','forward_p90_ms','benchmark_device']\n",
    "display(comparison[columns].round(4))\n",
    "selected = comparison.groupby('task',sort=False).head(1)\n",
    "print('Validation-selected models:',dict(zip(selected.task,selected.model)))\n",
    "\n",
    "fig,axes = plt.subplots(1,2,figsize=(12,4))\n",
    "for ax,task in zip(axes,TASK_CLASSES):\n",
    "    part = comparison[comparison.task==task].set_index('model')\n",
    "    part[['test_accuracy','test_macro_f1','missing_recall']].plot.bar(ax=ax,ylim=(0,1))\n",
    "    ax.set_title(task); ax.set_ylabel('Test score'); ax.tick_params(axis='x',rotation=20)\n",
    "plt.tight_layout(); plt.savefig(RUN_DIR/'test_comparison.png',dpi=150); plt.show()\n"
   ],
   "id": "ppe-029"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-030"
   },
   "source": [
    "## Error inspection\n",
    "\n",
    "Document test failures after the final evaluation. Subsequent model changes require a fresh final test set. Review small or blurred regions, detached items, annotation errors, context bias, and source-group differences. Confidence scores are uncalibrated.\n"
   ],
   "id": "ppe-030"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "mistakes"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 627
    },
    "id": "ppe-031",
    "outputId": "15f68391-7c3d-419b-dbca-c9d904c5ced2"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1300x600 with 8 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "shoes : no errors in this test sample; this does not prove perfect real-world performance.\n"
     ]
    }
   ],
   "source": [
    "for selected_row in selected.itertuples():\n",
    "    folder = RUN_DIR/selected_row.task/selected_row.model\n",
    "    predictions = pd.read_csv(folder/'test_predictions.csv')\n",
    "    mistakes = predictions[predictions.true_id != predictions.predicted_id].head(8)\n",
    "    if mistakes.empty:\n",
    "        print(selected_row.task,': no errors in this test sample; this does not prove perfect real-world performance.')\n",
    "        continue\n",
    "    fig,axes = plt.subplots(2,4,figsize=(13,6))\n",
    "    for ax in axes.flat: ax.axis('off')\n",
    "    for ax,row in zip(axes.flat,mistakes.itertuples()):\n",
    "        ax.imshow(Image.open(row.crop_path))\n",
    "        ax.set_title(f'True: {row.label}\\nPred: {row.predicted_label}\\nP(missing)={row.probability_missing:.2f}',fontsize=9)\n",
    "    plt.suptitle(f'{selected_row.task}: errors from validation-selected {selected_row.model}')\n",
    "    plt.tight_layout(); plt.savefig(folder/'test_error_examples.png',dpi=150); plt.show()\n"
   ],
   "id": "ppe-031"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-032"
   },
   "source": [
    "## Checkpoint inference\n",
    "\n",
    "`predict_crop()` reloads architecture, class order, image size, and weights. Input must be a face region for mask classification or a foot/shoe region for footwear classification. Full-scene inference requires a separate detection/crop stage. Returned probabilities are uncalibrated scores.\n"
   ],
   "id": "ppe-032"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "inference"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ppe-033",
    "outputId": "d0923a68-bcd0-4c3f-a01f-59becd5b8d9e"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Optional: set CUSTOM_IMAGE_PATH to a region image, then rerun this cell.\n"
     ]
    }
   ],
   "source": [
    "def predict_crop(checkpoint_path,image_path):\n",
    "    model,checkpoint = restore_model(Path(checkpoint_path))\n",
    "    name = checkpoint['architecture']\n",
    "    size = checkpoint['image_size']\n",
    "    steps = [SquarePadResize(size),transforms.ToTensor()]\n",
    "    if name != 'yolov8n_cls':\n",
    "        steps += [transforms.Normalize([0.485,0.456,0.406],[0.229,0.224,0.225])]\n",
    "    with Image.open(image_path) as image:\n",
    "        tensor = transforms.Compose(steps)(image.convert('RGB')).unsqueeze(0).to(DEVICE)\n",
    "    with torch.inference_mode(): probabilities = get_logits(model,tensor).softmax(1)[0].cpu().tolist()\n",
    "    result = dict(zip(checkpoint['classes'],probabilities))\n",
    "    del model\n",
    "    if DEVICE.type=='cuda': torch.cuda.empty_cache()\n",
    "    return result\n",
    "\n",
    "CUSTOM_IMAGE_PATH = ''  # Face crop for mask; foot region for shoes.\n",
    "CUSTOM_TASK = 'mask'   # Select the matching checkpoint task.\n",
    "if CUSTOM_IMAGE_PATH:\n",
    "    chosen = selected[selected.task==CUSTOM_TASK].iloc[0]\n",
    "    checkpoint_path = RUN_DIR/CUSTOM_TASK/chosen.model/'best.pt'\n",
    "    display(predict_crop(checkpoint_path,CUSTOM_IMAGE_PATH))\n",
    "else:\n",
    "    print('Optional: set CUSTOM_IMAGE_PATH to a region image, then rerun this cell.')\n"
   ],
   "id": "ppe-033"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-034"
   },
   "source": [
    "## Export\n",
    "\n",
    "Write metrics, dataset revision, split fingerprint, and experiment limitations to `results_report.md`.\n",
    "\n",
    "The ZIP contains six best checkpoints, histories, reports, predictions, manifests, and plots. Source archives, crop images, temporary files, and `last.pt` resume checkpoints are excluded. Resume files remain in `RUN_DIR`.\n"
   ],
   "id": "ppe-034"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "export"
    ],
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ppe-035",
    "outputId": "8b4da8e4-8253-4bac-de96-d5777fd10790"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Saved report: /content/drive/MyDrive/PPE_Classification/runs/baseline_v1_full/results_report.md\n",
      "Export ZIP: /content/drive/MyDrive/PPE_Classification/baseline_v1_full_results.zip (206.9 MB)\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ],
      "text/markdown": "# PPE classification baseline results\n\nRun: baseline_v1_full\nDataset: keremberke/protective-equipment-detection, revision 90d2c6da950a6168fcee20ec69e194a034f44eef\nSource: Personal Protective Equipment, PPEs dataset version 7, CC BY 4.0.\nProtocol: pooled source archives; rebuilt shared source-group splits; ImageNet fine-tuning.\nSplit fingerprint: d34082cdfc862dd8c059a0f79382e6f85985bc6828f98122bb1e29c1a5834c19\n\n## Validation-selected models\n\n- mask: resnet50; best epoch 4; validation macro F1 1.0000; test accuracy 0.9655; test macro F1 0.9537; missing precision 0.9697; missing recall 0.9846; 87 test crops from 3 inferred source groups.\n- shoes: efficientnet_b0; best epoch 9; validation macro F1 1.0000; test accuracy 1.0000; test macro F1 1.0000; missing precision 1.0000; missing recall 1.0000; 120 test crops from 4 inferred source groups.\n\n## Interpretation and limits\n\nThe labels describe mask/no-mask and shoes/no-shoes region appearance, not task-specific compliance.\nSome shoe annotations show detached shoes; protective certification and correct wearing are not established.\nAutomatic source grouping cannot prove worker/session independence without original recording metadata.\nOne training seed and this public dataset do not establish robustness in AW Rostamani repair bays.\nLatency measures batch-one network forward passes only, excluding the camera and preprocessing.\nThe test set was not used for checkpoint selection. Models were selected by validation macro F1.\nNext: obtain site-approved task rules and independent workshop/session data, verify labels, then test the full pipeline.\n\n## Student discussion prompts\n\n- Which model would you choose from validation performance, model size, and measured device latency, and why?\n- Which class/source group is hardest? What error examples support your explanation?\n- How do train/validation curves suggest overfitting or limited learning?\n- What does this dataset allow you to claim, and what requires new workshop evidence?\n\n## Sources\n\nhttps://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7\nhttps://huggingface.co/datasets/keremberke/protective-equipment-detection\nhttps://docs.pytorch.org/vision/stable/models/generated/torchvision.models.resnet50.html\nhttps://docs.pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b0.html\nhttps://docs.ultralytics.com/models/yolov8/\nhttps://docs.ultralytics.com/tasks/classify/"
     },
     "metadata": {}
    }
   ],
   "source": [
    "report_lines = [\n",
    "    '# PPE classification baseline results', '',\n",
    "    f'Run: {EXPERIMENT_NAME}_{RUN_MODE}',\n",
    "    f'Dataset: {DATASET_REPO}, revision {DATASET_REVISION}',\n",
    "    'Source: Personal Protective Equipment, PPEs dataset version 7, CC BY 4.0.',\n",
    "    'Protocol: pooled source archives; rebuilt shared source-group splits; ImageNet fine-tuning.',\n",
    "    f'Split fingerprint: {DATA_FINGERPRINT}', '',\n",
    "    '## Validation-selected models', '',\n",
    "]\n",
    "for row in selected.itertuples():\n",
    "    report_lines += [\n",
    "        f'- {row.task}: {row.model}; best epoch {row.best_epoch}; validation macro F1 {row.best_val_macro_f1:.4f}; '\n",
    "        f'test accuracy {row.test_accuracy:.4f}; test macro F1 {row.test_macro_f1:.4f}; '\n",
    "        f'missing precision {row.missing_precision:.4f}; missing recall {row.missing_recall:.4f}; '\n",
    "        f'{row.test_crops} test crops from {row.test_groups} inferred source groups.'\n",
    "    ]\n",
    "report_lines += ['', '## Interpretation and limits', '',\n",
    "    'The labels describe mask/no-mask and shoes/no-shoes region appearance, not task-specific compliance.',\n",
    "    'Some shoe annotations show detached shoes; protective certification and correct wearing are not established.',\n",
    "    'Automatic source grouping cannot prove worker/session independence without original recording metadata.',\n",
    "    'One training seed and this public dataset do not establish robustness in AW Rostamani repair bays.',\n",
    "    'Latency measures batch-one network forward passes only, excluding the camera and preprocessing.',\n",
    "    'The test set was not used for checkpoint selection. Models were selected by validation macro F1.',\n",
    "    'Next: obtain site-approved task rules and independent workshop/session data, verify labels, then test the full pipeline.', '',\n",
    "    '## Student discussion prompts', '',\n",
    "    '- Which model would you choose from validation performance, model size, and measured device latency, and why?',\n",
    "    '- Which class/source group is hardest? What error examples support your explanation?',\n",
    "    '- How do train/validation curves suggest overfitting or limited learning?',\n",
    "    '- What does this dataset allow you to claim, and what requires new workshop evidence?', '',\n",
    "    '## Sources', '',\n",
    "    'https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7',\n",
    "    'https://huggingface.co/datasets/keremberke/protective-equipment-detection',\n",
    "    'https://docs.pytorch.org/vision/stable/models/generated/torchvision.models.resnet50.html',\n",
    "    'https://docs.pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b0.html',\n",
    "    'https://docs.ultralytics.com/models/yolov8/',\n",
    "    'https://docs.ultralytics.com/tasks/classify/',\n",
    "]\n",
    "(RUN_DIR/'results_report.md').write_text('\\n'.join(report_lines),encoding='utf-8')\n",
    "export_path = BASE_DIR/f'{EXPERIMENT_NAME}_{RUN_MODE}_results.zip'\n",
    "with zipfile.ZipFile(export_path,'w',compression=zipfile.ZIP_DEFLATED) as z:\n",
    "    for path in RUN_DIR.rglob('*'):\n",
    "        if path.is_file() and path.name != 'last.pt' and path.suffix != '.tmp':\n",
    "            z.write(path,path.relative_to(RUN_DIR))\n",
    "print('Saved report:',RUN_DIR/'results_report.md')\n",
    "print('Export ZIP:',export_path, f'({export_path.stat().st_size/1024**2:.1f} MB)')\n",
    "display(Markdown((RUN_DIR/'results_report.md').read_text(encoding='utf-8')))\n",
    "\n",
    "# Optional download from Colab.\n",
    "# from google.colab import files\n",
    "# files.download(str(export_path))\n"
   ],
   "id": "ppe-035"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppe-036"
   },
   "source": [
    "## Run notes\n",
    "\n",
    "| Issue | Action |\n",
    "|---|---|\n",
    "| CPU runtime | Use quick mode for a smoke run; full comparison used a Colab GPU. |\n",
    "| Failed download | Rerun; completed archives are checksum-verified and reused. |\n",
    "| Import failure after install | Restart the kernel and rerun from imports. |\n",
    "| Insufficient source groups | Inspect group coverage and collect additional sessions. |\n",
    "| Saved configuration mismatch | Use a new `EXPERIMENT_NAME`. |\n",
    "| GPU memory exhausted | Restart, reduce batch size, and use a new experiment name. |\n",
    "| Colab disconnect | Remount Drive and rerun in order; training resumes after completed epochs. |\n",
    "\n",
    "Retain `model_comparison.csv`, `results_report.md`, plots, and each `best.pt` together with `run_config.json`, `environment.json`, and `split_manifest.csv`. Checkpoints and the full results ZIP are separate artifacts; embedded notebook outputs do not contain them.\n"
   ],
   "id": "ppe-036"
  }
 ]
}
