sml_big.ipynb

{
  
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "sml-big.ipynb",
      "provenance": [],
      "toc_visible": true,
      "machine_shape": "hm"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "TPU",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "bb0dc70c63b9452b8f268a924eb6d89e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_88c54a88bbe043ef930d1294b8651789",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_1134f58f49d44672827a75ae2777338f",
              "IPY_MODEL_8b40b9288fc043f5a20082bf6affacb7"
            ]
          }
        },
        "88c54a88bbe043ef930d1294b8651789": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "1134f58f49d44672827a75ae2777338f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_fbf865b053bf4d0398d980061c4f8059",
            "_dom_classes": [],
            "description": "",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 120560400,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 120560400,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_9e90ec41202440f8a558b730d8deeed2"
          }
        },
        "8b40b9288fc043f5a20082bf6affacb7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_1722875454db4693a90ef90e0acb52b7",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 120560400/120560400 [02:19&lt;00:00, 861169.76it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_c25b989df6fa4506bc4994fd25b85b99"
          }
        },
        "fbf865b053bf4d0398d980061c4f8059": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "9e90ec41202440f8a558b730d8deeed2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "1722875454db4693a90ef90e0acb52b7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "c25b989df6fa4506bc4994fd25b85b99": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "1b65c9e40b834fe984124450547e5676": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_aba52d9748dc44128433f7d36e28d5a1",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_433090963b93462390736150786ff91f",
              "IPY_MODEL_25c75363810b42d096aaf61d64473f2d"
            ]
          }
        },
        "aba52d9748dc44128433f7d36e28d5a1": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "433090963b93462390736150786ff91f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_7665fa6e5116412bb653b65764088dd4",
            "_dom_classes": [],
            "description": "",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 398184,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 398184,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_6f7416653da6486d84966276ddfde98c"
          }
        },
        "25c75363810b42d096aaf61d64473f2d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_d7e61bcce12a4a3e841851bd754f3426",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 398184/398184 [00:40&lt;00:00, 9901.06it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_5f149f086f1944689bfe14d2db48f118"
          }
        },
        "7665fa6e5116412bb653b65764088dd4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "6f7416653da6486d84966276ddfde98c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "d7e61bcce12a4a3e841851bd754f3426": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "5f149f086f1944689bfe14d2db48f118": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "283fbbee895f437ebc157d463be698f5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_a6e292188bf14465b3f89e3d582d7d8b",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_202e0cf67cbe452e8e7f92d90d2acf26",
              "IPY_MODEL_fbe6596e60044f4a81879990aa1447c1"
            ]
          }
        },
        "a6e292188bf14465b3f89e3d582d7d8b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "202e0cf67cbe452e8e7f92d90d2acf26": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_d9e577f060794ce7a44f0a5c0ff13ac0",
            "_dom_classes": [],
            "description": "",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 120560400,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 120560400,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_d4f9669fa2e84e6f82dac8c728545824"
          }
        },
        "fbe6596e60044f4a81879990aa1447c1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_0e5eed415ed1485ba571447eaa637489",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 120560400/120560400 [03:21&lt;00:00, 599551.57it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_9747a387d6ca4229aae8d932de849b52"
          }
        },
        "d9e577f060794ce7a44f0a5c0ff13ac0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "d4f9669fa2e84e6f82dac8c728545824": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "0e5eed415ed1485ba571447eaa637489": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "9747a387d6ca4229aae8d932de849b52": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "8c0eb2ca4a89437fb138fd2ece87485e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_c34ece497d2840af8ba87c4e5dd7908c",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_dd849669176640a7a6bef81bd19176f8",
              "IPY_MODEL_054a5517de5a4fd2acfcb2d518196fea"
            ]
          }
        },
        "c34ece497d2840af8ba87c4e5dd7908c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "dd849669176640a7a6bef81bd19176f8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_5cc4fb2a95604728b630e953a88ebf43",
            "_dom_classes": [],
            "description": "",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 120560400,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 120560400,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_c8986be9b80a4618af398899df848016"
          }
        },
        "054a5517de5a4fd2acfcb2d518196fea": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_cee689802e6346c0a7035ea43536292b",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 120560400/120560400 [01:03&lt;00:00, 1903411.23it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_4f7868394edc4930a76277a7fcc56d25"
          }
        },
        "5cc4fb2a95604728b630e953a88ebf43": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "c8986be9b80a4618af398899df848016": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "cee689802e6346c0a7035ea43536292b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "4f7868394edc4930a76277a7fcc56d25": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ba3f3819aaa74f3dbd2d742d164b1e75": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_1c7a98a99fb04f5c91adf1de2274f979",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_fb1e5f25c6744104a7628e7742e43b9e",
              "IPY_MODEL_060de8203ab74899bd42dc9f932ba4b3"
            ]
          }
        },
        "1c7a98a99fb04f5c91adf1de2274f979": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "fb1e5f25c6744104a7628e7742e43b9e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_cc84ecf1c5b345f59ff61e2f387bc713",
            "_dom_classes": [],
            "description": "",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 120560400,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 120560400,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_e9bd7054326d44b5a7083eeceaab2d92"
          }
        },
        "060de8203ab74899bd42dc9f932ba4b3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_5f92cb64274c4080bcaaf33c1261bb06",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 120560400/120560400 [01:03&lt;00:00, 1891772.06it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_7ea031229d764e809d6f3e49f465b4fe"
          }
        },
        "cc84ecf1c5b345f59ff61e2f387bc713": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "e9bd7054326d44b5a7083eeceaab2d92": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "5f92cb64274c4080bcaaf33c1261bb06": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "7ea031229d764e809d6f3e49f465b4fe": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f1789e70b61f42aca928162fa9810bbb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_b7365183fba9490f85aa208b4d9a99a5",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_14c65cb26c4f48bdb5c816be0cdbd1c2",
              "IPY_MODEL_0f78664889be4e58addaeb6cd639ab3a"
            ]
          }
        },
        "b7365183fba9490f85aa208b4d9a99a5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "14c65cb26c4f48bdb5c816be0cdbd1c2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_ef3c36821ac6477bbba33393e5cbf9b6",
            "_dom_classes": [],
            "description": "",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 120560400,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 120560400,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_f3f743eaea0c401a8be7f194b82a9fb6"
          }
        },
        "0f78664889be4e58addaeb6cd639ab3a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_3a59123ff7644e8bb78c0bd9ced941bf",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 120560400/120560400 [01:04&lt;00:00, 1875903.83it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_220e50ec438a48a0ad364c14c33ab32d"
          }
        },
        "ef3c36821ac6477bbba33393e5cbf9b6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "f3f743eaea0c401a8be7f194b82a9fb6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "3a59123ff7644e8bb78c0bd9ced941bf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "220e50ec438a48a0ad364c14c33ab32d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nc1pH2Uhr4RC",
        "colab_type": "text"
      },
      "source": [
        "# **SYMBOLIC MACHINE LEARNING - FULL RESOLUTION DATA**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lt3YngD6sBLX",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mnOLYLbtegMD",
        "colab_type": "text"
      },
      "source": [
        "***INSTALL GDAL :***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KfKaI2gva3KI",
        "colab_type": "code",
        "outputId": "4b32c659-b499-4d9a-8b0c-58598b5c198f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        }
      },
      "source": [
        "!pip install gdal\n",
        "!pip install rasterio\n",
        "!pip install wget"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: gdal in /usr/lib/python3/dist-packages (2.2.2)\n",
            "Collecting rasterio\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/94/da/a06e29e22dd464e618ae0fe580f444b0782ccf75fe3a784249cb59534f32/rasterio-1.1.1-cp36-cp36m-manylinux1_x86_64.whl (15.2MB)\n",
            "\u001b[K     |████████████████████████████████| 15.2MB 164kB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from rasterio) (1.17.4)\n",
            "Collecting affine\n",
            "  Downloading https://files.pythonhosted.org/packages/ac/a6/1a39a1ede71210e3ddaf623982b06ecfc5c5c03741ae659073159184cd3e/affine-2.3.0-py2.py3-none-any.whl\n",
            "Collecting cligj>=0.5\n",
            "  Downloading https://files.pythonhosted.org/packages/e4/be/30a58b4b0733850280d01f8bd132591b4668ed5c7046761098d665ac2174/cligj-0.5.0-py3-none-any.whl\n",
            "Collecting click-plugins\n",
            "  Downloading https://files.pythonhosted.org/packages/e9/da/824b92d9942f4e472702488857914bdd50f73021efea15b4cad9aca8ecef/click_plugins-1.1.1-py2.py3-none-any.whl\n",
            "Requirement already satisfied: click<8,>=4.0 in /usr/local/lib/python3.6/dist-packages (from rasterio) (7.0)\n",
            "Requirement already satisfied: attrs in /usr/local/lib/python3.6/dist-packages (from rasterio) (19.3.0)\n",
            "Collecting snuggs>=1.4.1\n",
            "  Downloading https://files.pythonhosted.org/packages/cc/0e/d27d6e806d6c0d1a2cfdc5d1f088e42339a0a54a09c3343f7f81ec8947ea/snuggs-1.4.7-py3-none-any.whl\n",
            "Requirement already satisfied: pyparsing>=2.1.6 in /usr/local/lib/python3.6/dist-packages (from snuggs>=1.4.1->rasterio) (2.4.5)\n",
            "Installing collected packages: affine, cligj, click-plugins, snuggs, rasterio\n",
            "Successfully installed affine-2.3.0 click-plugins-1.1.1 cligj-0.5.0 rasterio-1.1.1 snuggs-1.4.7\n",
            "Collecting wget\n",
            "  Downloading https://files.pythonhosted.org/packages/47/6a/62e288da7bcda82b935ff0c6cfe542970f04e29c756b0e147251b2fb251f/wget-3.2.zip\n",
            "Building wheels for collected packages: wget\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-cp36-none-any.whl size=9681 sha256=54b805fa5d6e789c62ce3e9b36229a990da16843b365ea905d6ee008da539683\n",
            "  Stored in directory: /root/.cache/pip/wheels/40/15/30/7d8f7cea2902b4db79e3fea550d7d7b85ecb27ef992b618f3f\n",
            "Successfully built wget\n",
            "Installing collected packages: wget\n",
            "Successfully installed wget-3.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jL-3iqzHeod1",
        "colab_type": "text"
      },
      "source": [
        "***MOUNT DRIVE ON GOOGLE COLLABORATORY :***\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mtT7NxFrbazm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#from google.colab import drive\n",
        "#drive.mount('/content/drive')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hKlrGgtBlSQ7",
        "colab_type": "code",
        "outputId": "080b9fbd-517e-46af-d849-94adde08af01",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "#DOWNLOAD CORINE LAND COVER DATASET\n",
        "!wget https://land.copernicus.eu/land-files/7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip\n",
        "!unzip /content/7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip\n",
        "!unzip /content/clc2018_clc2018_v2018_20_raster100m.zip\n",
        "\n"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2019-12-05 02:00:07--  https://land.copernicus.eu/land-files/7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip\n",
            "Resolving land.copernicus.eu (land.copernicus.eu)... 34.247.152.136\n",
            "Connecting to land.copernicus.eu (land.copernicus.eu)|34.247.152.136|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 221703454 (211M) [application/zip]\n",
            "Saving to: ‘7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip’\n",
            "\n",
            "7ac95361f9ac3cecdf3 100%[===================>] 211.43M  27.6MB/s    in 8.3s    \n",
            "\n",
            "2019-12-05 02:00:16 (25.4 MB/s) - ‘7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip’ saved [221703454/221703454]\n",
            "\n",
            "Archive:  /content/7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip\n",
            " extracting: clc2018_clc2018_v2018_20_raster100m.zip  \n",
            "Archive:  /content/clc2018_clc2018_v2018_20_raster100m.zip\n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.txt  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.aux.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.clr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.ovr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.vat.cpg  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.vat.dbf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.vat.dbf.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tfw  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif.aux.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif.clr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif.ovr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif.vat.cpg  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif.vat.dbf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GLP.tif.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tfw  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif.aux.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif.clr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif.ovr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif.vat.cpg  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif.vat.dbf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_GUF.tif.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tfw  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.aux.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.clr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.ovr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.vat.cpg  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.vat.dbf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tfw  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif.aux.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif.clr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif.ovr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif.vat.cpg  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif.vat.dbf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_MYT.tif.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tfw  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif.aux.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif.clr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif.ovr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif.vat.cpg  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/CLC2018_CLC2018_V2018_20_FR_REU.tif.vat.dbf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/readme_CLC2018_CLC2018_V2018_20.txt  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/readme_V20_raster_100m.txt  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC_country_coverage_v20.pdf  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Naming_convention_description.txt  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/CLC_country_coverage_v20.xls  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Metadata/CLC2018_CLC2018_V2018_20_FR_REU.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Metadata/CLC2018_CLC2018_V2018_20.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Metadata/CLC2018_CLC2018_V2018_20_FR_GLP.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Metadata/CLC2018_CLC2018_V2018_20_FR_GUF.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Metadata/CLC2018_CLC2018_V2018_20_FR_MTQ.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Metadata/CLC2018_CLC2018_V2018_20_FR_MYT.xml  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Legend/CLC2018_CLC2018_V2018_20.tif.lyr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/Legend/CLC2018_CLC2018_V2018_20_QGIS.txt  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/Legend/CLC2018_CLC2018_V2018_20_FR_GLP.tif.lyr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/Legend/CLC2018_CLC2018_V2018_20_FR_GUF.tif.lyr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/Legend/CLC2018_CLC2018_V2018_20_FR_MTQ.tif.lyr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/Legend/CLC2018_CLC2018_V2018_20_FR_MYT.tif.lyr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/Legend/CLC2018_CLC2018_V2018_20_FR_REU.tif.lyr  \n",
            "  inflating: clc2018_clc2018_v2018_20_raster100m/French_DOMs/Legend/CLC2018_CLC2018_V2018_20_QGIS.txt  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R6tS2gdzCo7m",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        },
        "outputId": "d4e92a59-b50e-4f28-e74c-d9511f556ee9"
      },
      "source": [
        "!pip install sentinelsat\n",
        "from sentinelsat.sentinel import SentinelAPI, read_geojson, geojson_to_wkt\n",
        "from datetime import date\n",
        "\n",
        "\n",
        "api = SentinelAPI('username', 'password',api_url='https://scihub.copernicus.eu/apihub')\n",
        "api.download('e277e5c7-2bae-4fd6-a922-a6c68c60b1cf')\n",
        "\n",
        "\n",
        "!unzip -q \"./S2A_MSIL1C_20190613T101031_N0207_R022_T32TQQ_20190613T121346.zip\"\n",
        "\n",
        "!gdal_translate  '/content/S2A_MSIL1C_20190613T101031_N0207_R022_T32TQQ_20190613T121346.SAFE/GRANULE/L1C_T32TQQ_A020754_20190613T101027/IMG_DATA/T32TQQ_20190613T101031_TCI.jp2' tci.tif\n",
        "\n",
        "!gdal_translate -of JPEG -co QUALITY=90 -co PROGRESSIVE=ON -outsize 1000 1000 -r bilinear tci.tif X-display.jpg\n",
        "\n",
        "!gdalwarp -t_srs \"EPSG:3035\" 'tci.tif' 'X.tif'\n"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting sentinelsat\n",
            "  Downloading https://files.pythonhosted.org/packages/5c/79/c2ac7b71dd13db95a9b83865bbbc7f1e4359c2b141bedad21b0e181fa06e/sentinelsat-0.13-py2.py3-none-any.whl\n",
            "Collecting geojson>=2\n",
            "  Downloading https://files.pythonhosted.org/packages/e4/8d/9e28e9af95739e6d2d2f8d4bef0b3432da40b7c3588fbad4298c1be09e48/geojson-2.5.0-py2.py3-none-any.whl\n",
            "Collecting geomet\n",
            "  Downloading https://files.pythonhosted.org/packages/d8/c4/da43311a7b610466fa6ab491fe63bad0535889df8108f2dc53ebe3198494/geomet-0.2.1-py3-none-any.whl\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from sentinelsat) (4.28.1)\n",
            "Collecting html2text\n",
            "  Downloading https://files.pythonhosted.org/packages/49/21/eb38d335ab15fc13564a5e971c1403707fb3a037292f246fa82e17208794/html2text-2019.9.26-py3-none-any.whl\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from sentinelsat) (1.12.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from sentinelsat) (2.21.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from sentinelsat) (7.0)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->sentinelsat) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->sentinelsat) (2019.9.11)\n",
            "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->sentinelsat) (2.8)\n",
            "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->sentinelsat) (1.24.3)\n",
            "Installing collected packages: geojson, geomet, html2text, sentinelsat\n",
            "Successfully installed geojson-2.5.0 geomet-0.2.1 html2text-2019.9.26 sentinelsat-0.13\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 844M/844M [00:29<00:00, 28.2MB/s]\n",
            "MD5 checksumming: 100%|██████████| 844M/844M [00:01<00:00, 436MB/s]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Input file size is 10980, 10980\n",
            "0...10...20...30...40...50...60...70...80...90...100 - done.\n",
            "Input file size is 10980, 10980\n",
            "0...10...20...30...40...50...60...70...80...90...100 - done.\n",
            "Creating output file that is 11135P x 11075L.\n",
            "Processing input file tci.tif.\n",
            "0...10...20...30...40...50...60...70...80...90...100 - done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZqrZrmYKm-bR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!gdal_translate -co QUALITY=100 -co PROGRESSIVE=ON -outsize 10980 10980 -r bilinear X.tif X-big.tif"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VbHvPt3exbad",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        },
        "outputId": "0698ffbc-e25e-4434-94c8-a02ac1ac1ddc"
      },
      "source": [
        "!gdalwarp -te 4441273.811229076 2336609.946413303 4552478.26761615 2447215.1870497502 '/content/clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif' 'Y.tif'"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Creating output file that is 1112P x 1106L.\n",
            "Processing input file /content/clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.\n",
            "Using internal nodata values (e.g. -32768) for image /content/clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif.\n",
            "Copying nodata values from source /content/clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif to destination Y.tif.\n",
            "0...10...20...30...40...50...60...70...80...90...100 - done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AkdnWj6vnX_y",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!gdal_translate -co QUALITY=100 -co PROGRESSIVE=ON -outsize 10980 10980 -r bilinear 'Y.tif' 'Y-big.tif'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gxIhLWfZoDIj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!gdal_translate -of JPEG -co QUALITY=90 -co PROGRESSIVE=ON -outsize 1000 1000 -r bilinear Y-big.tif Y-display.jpg"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BGuH6UHysIUa",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j-MB54mhe5k4",
        "colab_type": "text"
      },
      "source": [
        "***IMPORT PACKAGES :***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QmgrK2E3e8MS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import gdal\n",
        "from gdalconst import GA_ReadOnly \n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline \n",
        "import cv2\n",
        "import numpy as np\n",
        "from collections import Counter\n",
        "from tqdm import tqdm_notebook as tqdm\n",
        "IMG_SIZE=10980\n",
        "import rasterio\n",
        "from rasterio.plot import show"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RhW_lVhQsJxR",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S9swp-cWrrfw",
        "colab_type": "text"
      },
      "source": [
        "**PORTO VIRO REGION (ITALY)**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wy-4-yCfykVY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "66bf5f64-3393-4c61-a9e2-e4b592ebd159"
      },
      "source": [
        "dataset = rasterio.open('X-big.tif')\n",
        "show(dataset.read([1,2,3]))"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQ4AAAD8CAYAAACGnEoDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe5b05f6ef0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qfVtJaONfyrR",
        "colab_type": "text"
      },
      "source": [
        " ***3 CLASSES :\n",
        " BLACK = BUILT UP AREA , \n",
        " WHITE = RIVER/WATER BODIES , \n",
        " OTHER COLORS = OTHER OBJECTS***\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LXRWgciObl9f",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#IMPORT SENTNEL IMAGE OF MANNHEIM AREA - INPUT DATA\n",
        "tif1=gdal.Open('X-big.tif')\n",
        "rband = tif1.GetRasterBand(1).ReadAsArray()\n",
        "gband = tif1.GetRasterBand(2).ReadAsArray()\n",
        "bband = tif1.GetRasterBand(3).ReadAsArray()\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "fxFzI1Lb6P6p",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "outputId": "73d585d3-2a06-4c6e-b315-459c05a75a96"
      },
      "source": [
        "#IMPORT SENTNEL IMAGE OF MANNHEIM AREA-CORINE LAND COVER - REFERENCE DATA\n",
        "tif2=gdal.Open('Y-big.tif')\n",
        "Y_raster = tif2.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "Y_raster[(Y_raster > 0)&(Y_raster <= 150)] = 0\n",
        "Y_raster[(Y_raster > 150) & (Y_raster < 450)] = 125\n",
        "Y_raster[(Y_raster >= 450) & (Y_raster < 530)] = 255\n",
        "Y_raster[Y_raster > 530] = 125\n",
        "Y_raster[Y_raster < 0] = 255\n",
        "\n",
        "\n",
        "print(\"UNIQUE CLASSES: \", np.unique(Y_raster))\n",
        "plt.gray()\n",
        "plt.title('PORTO VIRO REGION - CLC REFERENCE DATA')\n",
        "plt.imshow(Y_raster)\n",
        "Y_list=Y_raster.flatten().tolist()\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "UNIQUE CLASSES:  [  0 125 255]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAASkAAAEICAYAAAADaQIRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pS-dntl9sSJV",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EF_Su_fHhlVH",
        "colab_type": "text"
      },
      "source": [
        "***STEP 1 : DATA QUANTIZATION-SEQUENCING***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rEKZqnXCsUTr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#CONVERT RGB BANDS AS INPUT FEATURE SEQUENCES\n",
        "#QUANTIZATION\n",
        "\n",
        "rband_list=rband.flatten().tolist()\n",
        "#rband_list = [round(x/8) for x in rband_list]\n",
        "\n",
        "gband_list=gband.flatten().tolist()\n",
        "#gband_list = [round(x/8) for x in gband_list]\n",
        "\n",
        "bband_list=bband.flatten().tolist()\n",
        "#bband_list = [round(x/8) for x in bband_list]\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G6x9yhlajJ8M",
        "colab_type": "text"
      },
      "source": [
        "***SEQUENCE LIST AND ANTECEDENT-CONSEQUENT LIST(X->Y)***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZsgmJ8Kew52V",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "sequences_list=[]\n",
        "ante_consq_list=[]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mgDj_gvvthgO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 82,
          "referenced_widgets": [
            "bb0dc70c63b9452b8f268a924eb6d89e",
            "88c54a88bbe043ef930d1294b8651789",
            "1134f58f49d44672827a75ae2777338f",
            "8b40b9288fc043f5a20082bf6affacb7",
            "fbf865b053bf4d0398d980061c4f8059",
            "9e90ec41202440f8a558b730d8deeed2",
            "1722875454db4693a90ef90e0acb52b7",
            "c25b989df6fa4506bc4994fd25b85b99"
          ]
        },
        "outputId": "03d294a1-415f-40e9-cf59-c9591b2d13c9"
      },
      "source": [
        "for i in tqdm(range(len(rband_list))):\n",
        "  sequences_list.append((rband_list[i],gband_list[i],bband_list[i]))\n",
        "  ante_consq_list.append((rband_list[i],gband_list[i],bband_list[i],Y_list[i]))\n",
        "\n",
        "print('BUILDING DATA DONE')\n"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "bb0dc70c63b9452b8f268a924eb6d89e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=120560400), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "BUILDING DATA DONE\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iCVRyjESjwwL",
        "colab_type": "text"
      },
      "source": [
        "***RANDOM EXAMPLE - DATA STRUCTURE (R, G, B, CLASS_LABEL)***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HrJF9PIIthju",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "7e5aa18f-b17c-48ea-a9cb-e51921fc1220"
      },
      "source": [
        "print ((ante_consq_list[22222]))"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(120, 113, 108, 125)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O843PnPQj9p_",
        "colab_type": "text"
      },
      "source": [
        "***FIND UNIQUE SEQUENCES(X-cap) AND COUNT***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W32qBvF1thnU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "73cde692-88f3-45ce-d970-c4a00ccb2595"
      },
      "source": [
        "print('UNIQUE SEQUENCES COUNT: ')\n",
        "print(len(list(set(sequences_list))))\n",
        "unique_X_sequences=list(set(sequences_list))"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "UNIQUE SEQUENCES COUNT: \n",
            "398184\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6u71bdBBsWU9",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9tfHuR7ckert",
        "colab_type": "text"
      },
      "source": [
        "***STEP 2:***\n",
        "\n",
        "*   ***ASSOCIATION ANALYSIS***\n",
        "*   ***EVIDENCE BASED NORMALIZED DIFFERENTIAL INDEX(ENDI) MEASURE***\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CDwyOG-sluFT",
        "colab_type": "text"
      },
      "source": [
        "***HELPER FUNCTIONS:***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PBmN7nsvxTGb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#ONE VARIATION OF ENDI INTERESTINGNESS MEASURE\n",
        "def calculate_ENDI(positive,negative):\n",
        "  if (positive==0) and (negative==0) : return 0\n",
        "  return (positive-negative)/(positive+negative)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q5DdKX6Z51Jm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#POSITIVE EVIDENCES\n",
        "def positive_count(sequence,class_name):\n",
        "  item = list(sequence)\n",
        "  item.append(class_name)\n",
        "  c=counter[tuple(item)]\n",
        "  return c\n",
        "\n",
        "\n",
        "#NEGATIVE EVIDENCES\n",
        "def negative_count(sequence, class_list):\n",
        "  negative_classcount=0\n",
        "  for c in  class_list:\n",
        "    item = list(sequence)\n",
        "    item.append(c)\n",
        "    negative_classcount=negative_classcount+counter[tuple(item)]\n",
        "\n",
        "  return negative_classcount\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GqVeHx5El9b7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#COUNT FREQUENCIES OF EACH UNIQUE SEQUENCE\n",
        "counter=Counter(ante_consq_list)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N6c40R8gtgYA",
        "colab_type": "text"
      },
      "source": [
        "***CALCULATE ENDI MEASURE FOR ALL THE CLASSES PER SEQUENCE DATA***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BHa17NbP4P6R",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 82,
          "referenced_widgets": [
            "1b65c9e40b834fe984124450547e5676",
            "aba52d9748dc44128433f7d36e28d5a1",
            "433090963b93462390736150786ff91f",
            "25c75363810b42d096aaf61d64473f2d",
            "7665fa6e5116412bb653b65764088dd4",
            "6f7416653da6486d84966276ddfde98c",
            "d7e61bcce12a4a3e841851bd754f3426",
            "5f149f086f1944689bfe14d2db48f118"
          ]
        },
        "outputId": "aba53b5d-a162-45df-cd71-d15277aed8c6"
      },
      "source": [
        "#GENERATE A DICTIONARY OF THE FORM : {(unique sequence) : [ENDI MEASURE-CLASS 0, ENDI MEASURE-CLASS 1, ENDI MEASURE-CLASS 2 ]}\n",
        "ENDI_table_dictionary={}\n",
        "\n",
        "for i in tqdm(range(len(unique_X_sequences))):\n",
        "  seq=unique_X_sequences[i]\n",
        "  ENDI_class_0=calculate_ENDI(positive_count(seq,0),negative_count(seq,[125,255]))\n",
        "  ENDI_class_1=calculate_ENDI(positive_count(seq,125),negative_count(seq,[0,255]))\n",
        "  ENDI_class_2=calculate_ENDI(positive_count(seq,255),negative_count(seq,[0,125]))\n",
        "  ENDI_table_dictionary[seq]=[ENDI_class_0,ENDI_class_1,ENDI_class_2]\n",
        "\n",
        "print('BUILDING DICTIONARY DONE')\n",
        "\n",
        "#PRINT RANDOM DATA POINT\n",
        "#print(ENDI_table_dictionary[unique_X_sequences[5000]])\n"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "1b65c9e40b834fe984124450547e5676",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=398184), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "BUILDING DICTIONARY DONE\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n84ur78SsZ-z",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "goD_JtMTtgo7",
        "colab_type": "text"
      },
      "source": [
        "***STEP 3 : CLASSIFICATION AND VISUALIZATION***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8kntNAM6gcPn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def classification(file_name):\n",
        "          new_image=gdal.Open(file_name)\n",
        "          rband_new = new_image.GetRasterBand(1).ReadAsArray()\n",
        "          gband_new = new_image.GetRasterBand(2).ReadAsArray()\n",
        "          bband_new = new_image.GetRasterBand(3).ReadAsArray()\n",
        "\n",
        "          rband_list_new=rband_new.flatten().tolist()\n",
        "          gband_list_new=gband_new.flatten().tolist()\n",
        "          bband_list_new=bband_new.flatten().tolist()\n",
        "\n",
        "          #rband_list_new = [round(x/8) for x in rband_list_new]\n",
        "          #gband_list_new = [round(x/8) for x in gband_list_new]\n",
        "          #bband_list_new = [round(x/8) for x in bband_list_new]\n",
        "\n",
        "\n",
        "          final_pred_list=[]\n",
        "\n",
        "          for i in tqdm(range(len(rband_list_new))):\n",
        "\n",
        "            if ((rband_list_new[i],gband_list_new[i],bband_list_new[i])) in ENDI_table_dictionary:\n",
        "                  ENDI_vals=ENDI_table_dictionary[(rband_list_new[i],gband_list_new[i],bband_list_new[i])]\n",
        "                  max_val = max(ENDI_vals)\n",
        "                  index_max = ENDI_vals.index(max_val)\n",
        "                  final_pred_list.append(index_max)   \n",
        "            else:\n",
        "              final_pred_list.append(1)\n",
        "          return final_pred_list\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wq6E1HhJhfi2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def visualization(prediction_list):\n",
        "  numpy_array=np.asarray(prediction_list)\n",
        "  numpy_array[numpy_array == 1] = 125\n",
        "  numpy_array[numpy_array == 2] = 255\n",
        "  final_image_array=numpy_array.reshape((IMG_SIZE,IMG_SIZE))\n",
        "  print(np.unique(final_image_array))\n",
        "  plt.gray()\n",
        "  plt.title('PORTO VIRO REGION - CLASSIFICATION RESULTS')\n",
        "  plt.imshow(final_image_array)\n",
        "  plt.savefig('classification-result.png')\n",
        "  cv2.imwrite(\"classication-result.tif\", final_image_array)\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "72cxX4heaE5W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def metrics(y_actual, y_pred_original):\n",
        "    numpy_array=np.asarray(y_pred_original)\n",
        "    numpy_array[numpy_array == 1] = 125\n",
        "    numpy_array[numpy_array == 2] = 255\n",
        "    y_pred=numpy_array.tolist()\n",
        "    class_id = set(y_actual).union(set(y_pred))\n",
        "    TP = []\n",
        "    FP = []\n",
        "    TN = []\n",
        "    FN = []\n",
        "\n",
        "    for index ,_id in enumerate(class_id):\n",
        "        TP.append(0)\n",
        "        FP.append(0)\n",
        "        TN.append(0)\n",
        "        FN.append(0)\n",
        "        for i in tqdm(range(len(y_pred))):\n",
        "            if y_actual[i] == y_pred[i] == _id:\n",
        "                TP[index] += 1\n",
        "            if y_pred[i] == _id and y_actual[i] != y_pred[i]:\n",
        "                FP[index] += 1\n",
        "            if y_actual[i] == y_pred[i] != _id:\n",
        "                TN[index] += 1\n",
        "            if y_pred[i] != _id and y_actual[i] != y_pred[i]:\n",
        "                FN[index] += 1\n",
        "\n",
        "\n",
        "    return class_id,TP, FP, TN, FN"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RqZ2C_ow04Ij",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JCK5RsYA05Ld",
        "colab_type": "text"
      },
      "source": [
        "**VISUALIZATION OF RESULTS AND METRICS - PORTO VIRO AREA(ITALY)**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iPhSuhjw1S5y",
        "colab_type": "text"
      },
      "source": [
        "1) PORTO VIRO CLASSIFICATION RESULTS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3zzrNttfg4p-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346,
          "referenced_widgets": [
            "283fbbee895f437ebc157d463be698f5",
            "a6e292188bf14465b3f89e3d582d7d8b",
            "202e0cf67cbe452e8e7f92d90d2acf26",
            "fbe6596e60044f4a81879990aa1447c1",
            "d9e577f060794ce7a44f0a5c0ff13ac0",
            "d4f9669fa2e84e6f82dac8c728545824",
            "0e5eed415ed1485ba571447eaa637489",
            "9747a387d6ca4229aae8d932de849b52"
          ]
        },
        "outputId": "d7d159fc-7491-499a-ea39-d46aeed3ce00"
      },
      "source": [
        "prediction_list=classification('X-big.tif')\n",
        "visualization(prediction_list)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "283fbbee895f437ebc157d463be698f5",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=120560400), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "[  0 125 255]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATMAAAEICAYAAAAz5RMwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxczj8QyC/w+IbHVz/4PtowAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H8YwFJ2lbXdk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 163,
          "referenced_widgets": [
            "8c0eb2ca4a89437fb138fd2ece87485e",
            "c34ece497d2840af8ba87c4e5dd7908c",
            "dd849669176640a7a6bef81bd19176f8",
            "054a5517de5a4fd2acfcb2d518196fea",
            "5cc4fb2a95604728b630e953a88ebf43",
            "c8986be9b80a4618af398899df848016",
            "cee689802e6346c0a7035ea43536292b",
            "4f7868394edc4930a76277a7fcc56d25",
            "ba3f3819aaa74f3dbd2d742d164b1e75",
            "1c7a98a99fb04f5c91adf1de2274f979",
            "fb1e5f25c6744104a7628e7742e43b9e",
            "060de8203ab74899bd42dc9f932ba4b3",
            "cc84ecf1c5b345f59ff61e2f387bc713",
            "e9bd7054326d44b5a7083eeceaab2d92",
            "5f92cb64274c4080bcaaf33c1261bb06",
            "7ea031229d764e809d6f3e49f465b4fe",
            "f1789e70b61f42aca928162fa9810bbb",
            "b7365183fba9490f85aa208b4d9a99a5",
            "14c65cb26c4f48bdb5c816be0cdbd1c2",
            "0f78664889be4e58addaeb6cd639ab3a",
            "ef3c36821ac6477bbba33393e5cbf9b6",
            "f3f743eaea0c401a8be7f194b82a9fb6",
            "3a59123ff7644e8bb78c0bd9ced941bf",
            "220e50ec438a48a0ad364c14c33ab32d"
          ]
        },
        "outputId": "c7f4f195-b598-4b1c-c216-bc4be1865a96"
      },
      "source": [
        "m=metrics(Y_list,prediction_list)"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8c0eb2ca4a89437fb138fd2ece87485e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=120560400), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ba3f3819aaa74f3dbd2d742d164b1e75",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=120560400), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f1789e70b61f42aca928162fa9810bbb",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=120560400), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mbjXWoqsjQ_d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "unique, counts = np.unique(Y_list, return_counts=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WskaAi3ghsiH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "outputId": "98099281-40cc-4997-cb49-17992a6f8805"
      },
      "source": [
        "for i in range(0,3):\n",
        "  TP=m[1][i]\n",
        "  FP=m[2][i]\n",
        "  TN=m[3][i]\n",
        "  FN=m[4][i]\n",
        "  P=counts[i]\n",
        "  N=len(Y_list)-P\n",
        "  TPR=TP/P\n",
        "  TNR=TN/N\n",
        "  bal_measure = (TPR+TNR)/2\n",
        "  inf_accuracy=TPR-TNR\n",
        "  print('BALANCED ACCURACY FOR CLASS '+str(i)+\" is \"+ str(bal_measure))\n",
        "  print('INFORMEDNESS FOR CLASS '+str(i)+\" is \"+str(inf_accuracy))\n",
        "\n",
        "\n"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "BALANCED ACCURACY FOR CLASS 0 is 0.5829923728200419\n",
            "INFORMEDNESS FOR CLASS 0 is -0.7616011825821705\n",
            "BALANCED ACCURACY FOR CLASS 1 is 0.9351098837429114\n",
            "INFORMEDNESS FOR CLASS 1 is 0.0825503964809311\n",
            "BALANCED ACCURACY FOR CLASS 2 is 0.9404312444065627\n",
            "INFORMEDNESS FOR CLASS 2 is 0.013444690449306185\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "unQkKXcY1RAe",
        "colab_type": "text"
      },
      "source": [
        "2) PORTO VIRO RGB IMAGE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wCHf3Rrg0J5J",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "e48c2f85-8535-4633-839b-99179d67ecc7"
      },
      "source": [
        "dataset = rasterio.open('X-big.tif')\n",
        "show(dataset.read([1,2,3]))"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQ4AAAD8CAYAAACGnEoDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe0a10f3908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Uj7CmWs1DfC",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    }
  ]
}