notebooks/B02_Example_Image_Localization.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## B02 - Example usage of SatCLIP to geo-locate Sentinel-2 images\n",
        "\n",
        "First install and setup the necessary functions."
      ],
      "metadata": {
        "id": "vHiZF_A77Jyx"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "outputId": "8bd0a154-52e6-4a33-ee66-7f3757cde364"
      },
      "outputs": [
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          "text": [
            "Cloning into '.'...\n",
            "remote: Enumerating objects: 200, done.\u001b[K\n",
            "remote: Counting objects: 100% (105/105), done.\u001b[K\n",
            "remote: Compressing objects: 100% (87/87), done.\u001b[K\n",
            "remote: Total 200 (delta 48), reused 54 (delta 17), pack-reused 95\u001b[K\n",
            "Receiving objects: 100% (200/200), 12.80 MiB | 23.57 MiB/s, done.\n",
            "Resolving deltas: 100% (82/82), done.\n"
          ]
        }
      ],
      "source": [
        "!rm -r sample_data .config # Empty current directory\n",
        "!git clone https://github.com/microsoft/satclip.git . # Clone SatCLIP repository"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install lightning --quiet\n",
        "!pip install rasterio --quiet\n",
        "!pip install torchgeo --quiet\n",
        "!pip install basemap --quiet"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "ypZK9FPC7bCY",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m825.4/825.4 kB\u001b[0m \u001b[31m14.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m741.0/741.0 kB\u001b[0m \u001b[31m46.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m535.2/535.2 kB\u001b[0m \u001b[31m48.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m106.7/106.7 kB\u001b[0m \u001b[31m14.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m37.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.4/2.4 MB\u001b[0m \u001b[31m77.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.5/154.5 kB\u001b[0m \u001b[31m13.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m12.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.6/137.6 kB\u001b[0m \u001b[31m19.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m9.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m192.2/192.2 kB\u001b[0m \u001b[31m18.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.5/79.5 kB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.7/101.7 kB\u001b[0m \u001b[31m14.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.8/58.8 kB\u001b[0m \u001b[31m7.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m51.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m117.0/117.0 kB\u001b[0m \u001b[31m14.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m606.1/606.1 kB\u001b[0m \u001b[31m58.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for efficientnet-pytorch (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for pretrainedmodels (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m936.0/936.0 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.5/30.5 MB\u001b[0m \u001b[31m12.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.0/53.0 kB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Load packages and download a *SatCLIP* model via HuggingFace 🤗."
      ],
      "metadata": {
        "id": "td7KFTYfCIil"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import sys\n",
        "sys.path.append('./satclip')\n",
        "\n",
        "from load import get_satclip\n",
        "from huggingface_hub import hf_hub_download\n",
        "import torch\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "import rasterio\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
        "import matplotlib.colors as mcolors\n",
        "from math import radians, sin, cos, acos\n",
        "import pandas as pd\n",
        "\n",
        "\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "\n",
        "model = get_satclip(\n",
        "    hf_hub_download(\"microsoft/SatCLIP-ResNet50-L40\", \"satclip-resnet50-l40.ckpt\"),\n",
        "    return_all=True,\n",
        "    device=device,\n",
        ")\n",
        "model.eval()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "8643bd0bf63e4541a890e58839df4e98",
            "f70cb68518e34e06bdd37a802eb9e563",
            "68b5b68f4d3b4ff688c750efe199dcbf",
            "f1f1a709d59845c49f2504ca3860aaa3",
            "df330bba07d241b4b85b2235b724b16e",
            "37cfd8ab96e64f0e82e34d14d74e83e7",
            "2cc0e2733df3402da3d43516ca18c1b8",
            "8119b6061a9b4256b6a562bfd6230dd3",
            "010caaa974a947eaa8873d2140993d1f",
            "2a7018b9df2047fdb4b0dcc6fc2b8c51",
            "c76144e445fd4300a91f948a04003af9"
          ]
        },
        "id": "ZewnY7Xb8Ylp",
        "outputId": "9c2257a1-4e61-4408-99b5-09076cabfea3"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "satclip-resnet50-l40.ckpt:   0%|          | 0.00/130M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8643bd0bf63e4541a890e58839df4e98"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "using pretrained moco resnet50\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"https://hf.co/torchgeo/resnet50_sentinel2_all_moco/resolve/da4f3c9dbe09272eb902f3b37f46635fa4726879/resnet50_sentinel2_all_moco-df8b932e.pth\" to /root/.cache/torch/hub/checkpoints/resnet50_sentinel2_all_moco-df8b932e.pth\n",
            "100%|██████████| 90.1M/90.1M [00:01<00:00, 76.1MB/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SatCLIP(\n",
              "  (visual): ResNet(\n",
              "    (conv1): Conv2d(13, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
              "    (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (act1): ReLU(inplace=True)\n",
              "    (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
              "    (layer1): Sequential(\n",
              "      (0): Bottleneck(\n",
              "        (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "        (downsample): Sequential(\n",
              "          (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "          (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        )\n",
              "      )\n",
              "      (1): Bottleneck(\n",
              "        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (2): Bottleneck(\n",
              "        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "    )\n",
              "    (layer2): Sequential(\n",
              "      (0): Bottleneck(\n",
              "        (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "        (downsample): Sequential(\n",
              "          (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "          (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        )\n",
              "      )\n",
              "      (1): Bottleneck(\n",
              "        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (2): Bottleneck(\n",
              "        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (3): Bottleneck(\n",
              "        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "    )\n",
              "    (layer3): Sequential(\n",
              "      (0): Bottleneck(\n",
              "        (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "        (downsample): Sequential(\n",
              "          (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "          (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        )\n",
              "      )\n",
              "      (1): Bottleneck(\n",
              "        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (2): Bottleneck(\n",
              "        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (3): Bottleneck(\n",
              "        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (4): Bottleneck(\n",
              "        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (5): Bottleneck(\n",
              "        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "    )\n",
              "    (layer4): Sequential(\n",
              "      (0): Bottleneck(\n",
              "        (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "        (downsample): Sequential(\n",
              "          (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "          (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        )\n",
              "      )\n",
              "      (1): Bottleneck(\n",
              "        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "      (2): Bottleneck(\n",
              "        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act1): ReLU(inplace=True)\n",
              "        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (drop_block): Identity()\n",
              "        (act2): ReLU(inplace=True)\n",
              "        (aa): Identity()\n",
              "        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
              "        (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (act3): ReLU(inplace=True)\n",
              "      )\n",
              "    )\n",
              "    (global_pool): SelectAdaptivePool2d (pool_type=avg, flatten=Flatten(start_dim=1, end_dim=-1))\n",
              "    (fc): Linear(in_features=2048, out_features=256, bias=True)\n",
              "  )\n",
              "  (posenc): SphericalHarmonics()\n",
              "  (nnet): SirenNet(\n",
              "    (layers): ModuleList(\n",
              "      (0-1): 2 x Siren(\n",
              "        (activation): Sine()\n",
              "      )\n",
              "    )\n",
              "    (last_layer): Siren(\n",
              "      (activation): Identity()\n",
              "    )\n",
              "  )\n",
              "  (location): LocationEncoder(\n",
              "    (posenc): SphericalHarmonics()\n",
              "    (nnet): SirenNet(\n",
              "      (layers): ModuleList(\n",
              "        (0-1): 2 x Siren(\n",
              "          (activation): Sine()\n",
              "        )\n",
              "      )\n",
              "      (last_layer): Siren(\n",
              "        (activation): Identity()\n",
              "      )\n",
              "    )\n",
              "  )\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We need a few custom functions for this notebook:\n",
        "* One to load `.tif` files, which store our Sentinel-2 images (we don't need full dataloaders here).\n",
        "* One to generate control or reference locations that we want to match our images to.\n",
        "* And one to compute the Arc distance (great-circle distance / haversine distance) between two longitude/latitude coordinates."
      ],
      "metadata": {
        "id": "2wwgCDVXCTAc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def get_example_image(path, plot=True):\n",
        "    \"\"\"\n",
        "    Loads example Sentinel-2 image from path to tif file\n",
        "    :param path: Path to image file\n",
        "    :param plot: If True, will plot an RGB image of the satellite image\n",
        "    :return: Normalized image as torch tensor\n",
        "    \"\"\"\n",
        "    with rasterio.open(path) as f:\n",
        "            data = f.read().astype(np.float32)\n",
        "            image = data / 10000.0\n",
        "            B10 = np.zeros((1, *image.shape[1:]), dtype=image.dtype)\n",
        "            image = np.concatenate([image[:10], B10, image[10:]], axis=0)\n",
        "            image = torch.tensor(image)\n",
        "\n",
        "            if plot:\n",
        "                    # Read the first three RGB bands (assuming they are bands 4, 3, and 2)\n",
        "                    red_band = f.read(4) / 10000.0\n",
        "                    green_band = f.read(3) / 10000.0\n",
        "                    blue_band = f.read(2) / 10000.0\n",
        "\n",
        "                    # Stack the bands to create an RGB image\n",
        "                    rgb_image = np.stack([red_band, green_band, blue_band], axis=-1)\n",
        "\n",
        "                    # Plot the RGB image\n",
        "                    plt.imshow(rgb_image)\n",
        "                    plt.title(\"RGB Sentinel-2 Image\")\n",
        "                    plt.axis('off')  # Hide axes\n",
        "                    plt.show()\n",
        "\n",
        "    return image\n",
        "\n",
        "def generate_control_locations(n):\n",
        "    \"\"\"\n",
        "    Generates n regularly distributed locations on the planet\n",
        "    :param n: Number of locations to generate\n",
        "    :return: longitudes, latitudes of generated locations\n",
        "    \"\"\"\n",
        "    import math\n",
        "    n = n // 2\n",
        "    # golden ratio\n",
        "    phi = (1 + math.sqrt(5)) / 2\n",
        "\n",
        "    lats, lons = [], []\n",
        "\n",
        "    for i in np.arange(-n, n):\n",
        "        lat = np.arcsin( (2*i) / (2*n + 1) ) * 180 / np.pi\n",
        "        lon = (i % phi) * (360 / phi)\n",
        "\n",
        "        if lon < -180:\n",
        "            lon += 360\n",
        "        if lon > 180:\n",
        "            lon -= 360\n",
        "\n",
        "        lons.append(lon)\n",
        "        lats.append(lat)\n",
        "\n",
        "    return np.stack(lons), np.stack(lats)\n",
        "\n",
        "def arc_distance(lon1, lat1, lon2, lat2):\n",
        "    \"\"\"\n",
        "    Calculates the great-circle distance between two points on Earth.\n",
        "    :param lat1: Latitude of location 1 (in degrees)\n",
        "    :param lon1: Longitude of location 1 (in degrees)\n",
        "    :param lat2: Latitude of location 2 (in degrees)\n",
        "    :param lon2: Longitude of location 2 (in degrees)\n",
        "    :return: Distance in kilometers\n",
        "    \"\"\"\n",
        "    mlat = radians(lat1)\n",
        "    mlon = radians(lon1)\n",
        "    plat = radians(lat2)\n",
        "    plon = radians(lon2)\n",
        "\n",
        "    dist = 6371.01 * acos(sin(mlat) * sin(plat) + cos(mlat) * cos(plat) * cos(mlon - plon))\n",
        "    return dist\n",
        ""
      ],
      "metadata": {
        "id": "Qqhv8Z399Q29"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now, lets generate our control locations. We choose $100,000$ locations evenly distributed across the planet - but you can set a higher number if you want!"
      ],
      "metadata": {
        "id": "_PHNh5hlCvHV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Generate control locations\n",
        "control_lons, control_lats = generate_control_locations(100000)\n",
        "locs = torch.tensor(np.stack([control_lons, control_lats], axis=1)).to(device)\n",
        "#Get location embeddings of control locations\n",
        "with torch.no_grad():\n",
        "  control_embs = model.encode_location(locs)"
      ],
      "metadata": {
        "id": "fJfrMSvK-EAP"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now we need Sentinel-2 images and their corresponding locations. We use our *S2-100K* dataset in this example notebook. We can load the `index.csv` file that stores file names and geo-locations of all images in the dataset directly."
      ],
      "metadata": {
        "id": "qpeawklOC6h-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Load S2-100K locations\n",
        "locations = pd.read_csv('https://satclip.z13.web.core.windows.net/satclip/index.csv')"
      ],
      "metadata": {
        "id": "KlA5ijPm-Oox"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "We provide three example Sentinel-2 images from our dataset in the main *SatCLIP* repository in the `figures/example_s2` folder. You can load these `.tif` files from GitHub directly."
      ],
      "metadata": {
        "id": "QlrVnfYQDLmf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Path to example images\n",
        "paths = ['https://github.com/microsoft/satclip/raw/main/figures/example_s2/patch_445.tif',\n",
        "         'https://github.com/microsoft/satclip/raw/main/figures/example_s2/patch_8845.tif',\n",
        "         'https://github.com/microsoft/satclip/raw/main/figures/example_s2/patch_33188.tif'\n",
        "         ]\n",
        "#Chose one!\n",
        "path = paths[1]"
      ],
      "metadata": {
        "id": "E7njCKHEArWl"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's load and plot an example image!"
      ],
      "metadata": {
        "id": "vHKiNBKrDlHN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "image = get_example_image(path, plot=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "PLzF3kMhBWpC",
        "outputId": "8b92507e-5ed4-4890-feed-6abfe3c7694c"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Can *SatCLIP* correctly place this image on the world map?\n",
        "\n",
        "First, let's get the location of this specific image from the `index.csv` dataframe so we can compare to the true location."
      ],
      "metadata": {
        "id": "OG7saWSTDxVn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Get location corresponding to image from the index dataframe\n",
        "loc = locations[locations['fn'] == path.split('/')[-1]][['lon','lat']].values"
      ],
      "metadata": {
        "id": "J444Uwk3BaYf"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "To see what location *SatCLIP* thinks this is, we compute the image embedding using the *SatCLIP* vision encoder."
      ],
      "metadata": {
        "id": "vXsZb7vkFhrF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Compute image embedding\n",
        "img_emb = model.visual(image.unsqueeze(0).to(device))"
      ],
      "metadata": {
        "id": "lIw_eZTQETbe"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "We now obtain the longitude/latitude coordinates of the location with the embedding most closely matching (as measured by cosine similarity) the image embedding."
      ],
      "metadata": {
        "id": "e3istQcOFqVZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Find row in control_embs that is closest to loc_emb by cosine similarity\n",
        "cosine_sim = cosine_similarity(img_emb.cpu().detach().numpy(), control_embs.cpu().detach().numpy())\n",
        "#Get index of control location corresponding to embedding with highest cosine similarity to image embedding\n",
        "closest = np.argmax(cosine_sim)"
      ],
      "metadata": {
        "id": "1jRwgyTZBmwG"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's plot our findings! Looks pretty good. The predicted and true location are less than $100$ kilometers apart."
      ],
      "metadata": {
        "id": "GW5zAjqoF-s4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Plot true and predicted locations\n",
        "fig, ax = plt.subplots(1,1, figsize=(20, 10))\n",
        "\n",
        "m = Basemap(projection='cyl', resolution='c', ax=ax)\n",
        "m.drawcoastlines()\n",
        "ax.scatter(loc[0][0], loc[0][1], s=50, c=\"red\", label=\"True Location\")\n",
        "ax.scatter(control_lons[closest], control_lats[closest], s=50, c=\"blue\", label=\"Predicted Location\")\n",
        "ax.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 768
        },
        "id": "dQnYt-zXBroa",
        "outputId": "9d10649c-c5f8-487e-f866-db9faa165c2b"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7b2fd2bd3550>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "distance = arc_distance(loc[0][0], loc[0][1], control_lons[closest], control_lats[closest])\n",
        "print(f\"The distance between the two locations is approximately {distance:.2f} km.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h9VWRgzuBzuj",
        "outputId": "224db88e-00e2-4626-d980-f40e45448ad4"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The distance between the two locations is approximately 81.70 km.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A quick note: The images used in this notebook are all part of the *S2-100K* dataset which was of course used to train *SatCLIP*."
      ],
      "metadata": {
        "id": "DUpQWVd7GynN"
      }
    }
  ]
}