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        "# Intro Task, Object Localization"
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        "![Untitled 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)"
      ],
      "metadata": {
        "id": "qNnW26qlOz1K"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "-4f9T3PovCkQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c64dc7c9-9412-4dea-ade9-975992237577"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/albumentations-team/albumentations\n",
            "  Cloning https://github.com/albumentations-team/albumentations to /tmp/pip-req-build-wjlqoucy\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/albumentations-team/albumentations /tmp/pip-req-build-wjlqoucy\n",
            "  Resolved https://github.com/albumentations-team/albumentations to commit 40f36a05f7095567068f0101f07694f877e3d10d\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy<2,>=1.24.4 in /usr/local/lib/python3.10/dist-packages (from albumentations==1.4.9) (1.25.2)\n",
            "Requirement already satisfied: scipy>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from albumentations==1.4.9) (1.11.4)\n",
            "Collecting scikit-image>=0.21.0 (from albumentations==1.4.9)\n",
            "  Downloading scikit_image-0.24.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.9/14.9 MB\u001b[0m \u001b[31m15.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: PyYAML in /usr/local/lib/python3.10/dist-packages (from albumentations==1.4.9) (6.0.1)\n",
            "Requirement already satisfied: typing-extensions>=4.9.0 in /usr/local/lib/python3.10/dist-packages (from albumentations==1.4.9) (4.12.2)\n",
            "Collecting scikit-learn>=1.3.2 (from albumentations==1.4.9)\n",
            "  Downloading scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.3/13.3 MB\u001b[0m \u001b[31m41.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Building wheels for collected packages: albumentations\n",
            "  Building wheel for albumentations (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for albumentations: filename=albumentations-1.4.9-py3-none-any.whl size=161656 sha256=461de5a9f56c29cb1cb1d1ba2472955ff5bbd50f1e4177a6362f8ed0290eabf1\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-n2omswmh/wheels/51/4d/ab/5aafa8b980086fbc362946de7da4aa3df33aacb3da0da29b93\n",
            "Successfully built albumentations\n",
            "Installing collected packages: imageio, scikit-learn, scikit-image, albucore, albumentations\n",
            "  Attempting uninstall: imageio\n",
            "    Found existing installation: imageio 2.31.6\n",
            "    Uninstalling imageio-2.31.6:\n",
            "      Successfully uninstalled imageio-2.31.6\n",
            "  Attempting uninstall: scikit-learn\n",
            "    Found existing installation: scikit-learn 1.2.2\n",
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            "      Successfully uninstalled scikit-learn-1.2.2\n",
            "  Attempting uninstall: scikit-image\n",
            "    Found existing installation: scikit-image 0.19.3\n",
            "    Uninstalling scikit-image-0.19.3:\n",
            "      Successfully uninstalled scikit-image-0.19.3\n",
            "  Attempting uninstall: albumentations\n",
            "    Found existing installation: albumentations 1.3.1\n",
            "    Uninstalling albumentations-1.3.1:\n",
            "      Successfully uninstalled albumentations-1.3.1\n",
            "Successfully installed albucore-0.0.11 albumentations-1.4.9 imageio-2.34.1 scikit-image-0.24.0 scikit-learn-1.5.0\n",
            "Collecting timm\n",
            "  Downloading timm-1.0.3-py3-none-any.whl (2.3 MB)\n",
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            "  Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
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            "Collecting nvidia-nccl-cu12==2.20.5 (from torch->timm)\n",
            "  Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n",
            "Collecting nvidia-nvtx-cu12==12.1.105 (from torch->timm)\n",
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            "Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, timm\n",
            "Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.40 nvidia-nvtx-cu12-12.1.105 timm-1.0.3\n",
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            "Collecting opencv-contrib-python\n",
            "  Downloading opencv_contrib_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (68.7 MB)\n",
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            "Installing collected packages: opencv-contrib-python\n",
            "  Attempting uninstall: opencv-contrib-python\n",
            "    Found existing installation: opencv-contrib-python 4.8.0.76\n",
            "    Uninstalling opencv-contrib-python-4.8.0.76:\n",
            "      Successfully uninstalled opencv-contrib-python-4.8.0.76\n",
            "Successfully installed opencv-contrib-python-4.10.0.84\n"
          ]
        }
      ],
      "source": [
        "# install libraries/packages/modules\n",
        "\n",
        "!pip install -U git+https://github.com/albumentations-team/albumentations\n",
        "!pip install timm\n",
        "!pip install --upgrade opencv-contrib-python"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Download Dataset\n",
        "\n",
        "!git clone https://github.com/parth1620/object-localization-dataset.git"
      ],
      "metadata": {
        "id": "E96Rcm_F1jKl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3c7f7774-ef7a-4887-9bd0-8f6c2e77c184"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "fatal: destination path 'object-localization-dataset' already exists and is not an empty directory.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import cv2\n",
        "import matplotlib.pyplot as plt\n",
        "import torch\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder"
      ],
      "metadata": {
        "id": "-D9Cu5Ki1sjx"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import sys\n",
        "sys.path.append('/content/object-localization-dataset')"
      ],
      "metadata": {
        "id": "huIQiSlVKmK6"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Configurations"
      ],
      "metadata": {
        "id": "8oM1P_LN2WzF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "csv_file='/content/object-localization-dataset/train.csv'\n",
        "data_dir='/content/object-localization-dataset/'\n",
        "device='cuda'\n",
        "batch_size=16\n",
        "image_size=140\n",
        "lr=0.01\n",
        "epochs=40\n",
        "model_name = 'efficientnet_b0'\n",
        "num_cor = 4"
      ],
      "metadata": {
        "id": "l-Wz3fOX1yP6"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv(csv_file)\n",
        "df"
      ],
      "metadata": {
        "id": "p7xh_WG929Pf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "4699e2b5-2894-411b-e72b-b288efd12610"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         img_path  xmin  ymin  xmax  ymax  width  height  \\\n",
              "0    train_images/mushroom_51.jpg    24    23   202   183    227     227   \n",
              "1    train_images/eggplant_37.jpg    34    34    88   201    227     227   \n",
              "2    train_images/mushroom_20.jpg    49    86   183   185    227     227   \n",
              "3    train_images/eggplant_51.jpg    51    59   191   164    227     227   \n",
              "4    train_images/eggplant_26.jpg    40    70   179   168    227     227   \n",
              "..                            ...   ...   ...   ...   ...    ...     ...   \n",
              "181  train_images/eggplant_62.jpg    67    22   177   215    227     227   \n",
              "182  train_images/cucumber_45.jpg    11    31   217   208    227     227   \n",
              "183  train_images/mushroom_37.jpg    93    13   158   193    227     227   \n",
              "184  train_images/eggplant_44.jpg    21    59   192   171    227     227   \n",
              "185  train_images/mushroom_16.jpg    43    20   197   182    227     227   \n",
              "\n",
              "        label  \n",
              "0    mushroom  \n",
              "1    eggplant  \n",
              "2    mushroom  \n",
              "3    eggplant  \n",
              "4    eggplant  \n",
              "..        ...  \n",
              "181  eggplant  \n",
              "182  cucumber  \n",
              "183  mushroom  \n",
              "184  eggplant  \n",
              "185  mushroom  \n",
              "\n",
              "[186 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1ec77fde-d0e2-4d9e-899a-3b7682367d1c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>img_path</th>\n",
              "      <th>xmin</th>\n",
              "      <th>ymin</th>\n",
              "      <th>xmax</th>\n",
              "      <th>ymax</th>\n",
              "      <th>width</th>\n",
              "      <th>height</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>train_images/mushroom_51.jpg</td>\n",
              "      <td>24</td>\n",
              "      <td>23</td>\n",
              "      <td>202</td>\n",
              "      <td>183</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>mushroom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>train_images/eggplant_37.jpg</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>88</td>\n",
              "      <td>201</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>eggplant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>train_images/mushroom_20.jpg</td>\n",
              "      <td>49</td>\n",
              "      <td>86</td>\n",
              "      <td>183</td>\n",
              "      <td>185</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>mushroom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>train_images/eggplant_51.jpg</td>\n",
              "      <td>51</td>\n",
              "      <td>59</td>\n",
              "      <td>191</td>\n",
              "      <td>164</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>eggplant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>train_images/eggplant_26.jpg</td>\n",
              "      <td>40</td>\n",
              "      <td>70</td>\n",
              "      <td>179</td>\n",
              "      <td>168</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>eggplant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>train_images/eggplant_62.jpg</td>\n",
              "      <td>67</td>\n",
              "      <td>22</td>\n",
              "      <td>177</td>\n",
              "      <td>215</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>eggplant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>train_images/cucumber_45.jpg</td>\n",
              "      <td>11</td>\n",
              "      <td>31</td>\n",
              "      <td>217</td>\n",
              "      <td>208</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>cucumber</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>train_images/mushroom_37.jpg</td>\n",
              "      <td>93</td>\n",
              "      <td>13</td>\n",
              "      <td>158</td>\n",
              "      <td>193</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>mushroom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>train_images/eggplant_44.jpg</td>\n",
              "      <td>21</td>\n",
              "      <td>59</td>\n",
              "      <td>192</td>\n",
              "      <td>171</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>eggplant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>train_images/mushroom_16.jpg</td>\n",
              "      <td>43</td>\n",
              "      <td>20</td>\n",
              "      <td>197</td>\n",
              "      <td>182</td>\n",
              "      <td>227</td>\n",
              "      <td>227</td>\n",
              "      <td>mushroom</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>186 rows × 8 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1ec77fde-d0e2-4d9e-899a-3b7682367d1c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1ec77fde-d0e2-4d9e-899a-3b7682367d1c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1ec77fde-d0e2-4d9e-899a-3b7682367d1c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-91493ddd-139e-4d9d-9a46-32c56824d1ea\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-91493ddd-139e-4d9d-9a46-32c56824d1ea')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-91493ddd-139e-4d9d-9a46-32c56824d1ea button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_449d0b4d-c728-495b-a707-53a0599bad99\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_449d0b4d-c728-495b-a707-53a0599bad99 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 186,\n  \"fields\": [\n    {\n      \"column\": \"img_path\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 186,\n        \"samples\": [\n          \"train_images/mushroom_32.jpg\",\n          \"train_images/mushroom_3.jpg\",\n          \"train_images/mushroom_53.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"xmin\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25,\n        \"min\": 1,\n        \"max\": 146,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          1,\n          24,\n          15\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ymin\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24,\n        \"min\": 1,\n        \"max\": 136,\n        \"num_unique_values\": 84,\n        \"samples\": [\n          129,\n          23,\n          89\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"xmax\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 23,\n        \"min\": 88,\n        \"max\": 226,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          179,\n          149,\n          171\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ymax\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24,\n        \"min\": 121,\n        \"max\": 227,\n        \"num_unique_values\": 83,\n        \"samples\": [\n          172,\n          183,\n          203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"width\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 227,\n        \"max\": 227,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          227\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"height\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 227,\n        \"max\": 227,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          227\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"mushroom\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Understand the dataset"
      ],
      "metadata": {
        "id": "SGmyED6-3vs-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "row = df.iloc[2]\n",
        "img=cv2.imread(data_dir + row.img_path)\n",
        "img=cv2.cvtColor (img,cv2.COLOR_BGR2RGB)\n",
        "pt1=(row.xmin,row.ymin)\n",
        "pt2=(row.xmax,row.ymax)\n",
        "bnd_box_img=cv2.rectangle(img,pt1,pt2,(255,0,0),2)\n",
        "plt.imshow(bnd_box_img)"
      ],
      "metadata": {
        "id": "_Dq7GKkk3ocN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "outputId": "65c59988-c107-4b2b-c19e-98d21bad1def"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f9fcbe24370>"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df,valid_df=train_test_split(df,test_size=0.2,random_state=42)"
      ],
      "metadata": {
        "id": "j9IVE-2_34ab"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Augmentations"
      ],
      "metadata": {
        "id": "NuHvzBs13_jt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import albumentations as A"
      ],
      "metadata": {
        "id": "Fus-CGSB4H3I"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_augs = A.Compose([\n",
        "    A.Resize(image_size, image_size),\n",
        "    A.HorizontalFlip(p=0.5),\n",
        "    A.VerticalFlip(p=0.5),\n",
        "    A.Rotate(),\n",
        "], bbox_params=A.BboxParams(format='pascal_voc', label_fields=['class_labels']))\n",
        "\n",
        "valid_augs = A.Compose([\n",
        "    A.Resize(image_size,image_size),\n",
        "], bbox_params=A.BboxParams(format='pascal_voc', label_fields=['class_labels']))\n"
      ],
      "metadata": {
        "id": "8EeJAGT83-q1"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Create Custom Dataset"
      ],
      "metadata": {
        "id": "3GcEm3hr4KZ6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class ObjLocDataset(torch.utils.data.Dataset):\n",
        "    def __init__(self, df, augmentations=None):\n",
        "        self.df = df\n",
        "        self.augmentations = augmentations\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.df)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        row = self.df.iloc[idx]\n",
        "        xmin = row.xmin\n",
        "        ymin = row.ymin\n",
        "        xmax = row.xmax\n",
        "        ymax = row.ymax\n",
        "        bbox = [[xmin, ymin, xmax, ymax]]\n",
        "        img_path = data_dir + row.img_path\n",
        "        img = cv2.imread(img_path)\n",
        "        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
        "\n",
        "        if self.augmentations:\n",
        "            data = self.augmentations(image=img, bboxes=bbox, class_labels=[None])\n",
        "            img = data['image']\n",
        "            bbox = data['bboxes'][0]\n",
        "        img=torch.from_numpy(img).permute(2,0,1)/255.0 #h,w,c---->c,h,w\n",
        "        bbox=torch.Tensor(bbox)\n",
        "\n",
        "        return img, bbox\n",
        "\n",
        "# Example usage:\n",
        "# Assuming `df` is a DataFrame containing your data and `augmentations` is a set of augmentations\n",
        "# dataset = ObjLocDataset(df, augmentations)\n",
        "# loader = torch.utils.data.DataLoader(dataset, batch_size=4, shuffle=True)\n"
      ],
      "metadata": {
        "id": "w-APc4_p4FiU"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "trainset=ObjLocDataset(train_df,train_augs)\n",
        "validset=ObjLocDataset(valid_df,valid_augs)"
      ],
      "metadata": {
        "id": "Z3wIJmZ34SU8"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Total Examples in Trainset= {len(trainset)}\")\n",
        "print(f\"Total Examples in Validset= {len(validset)}\")"
      ],
      "metadata": {
        "id": "MiuNQ1845M0a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "45ed8743-38cb-45f3-f67b-ad1c1957cd87"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total Examples in Trainset= 148\n",
            "Total Examples in Validset= 38\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "img, bbox = trainset[6]\n",
        "\n",
        "xmin, ymin, xmax, ymax = bbox\n",
        "\n",
        "pt1 = (int(xmin), int(ymin))\n",
        "pt2 = (int(xmax), int(ymax))\n",
        "\n",
        "bnd_img = cv2.rectangle(img.permute(1, 2, 0).numpy(),pt1, pt2,(255,0,0),2)\n",
        "plt.imshow(bnd_img)"
      ],
      "metadata": {
        "id": "lI0s9VPA4dye",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "outputId": "fccae41d-d1dc-4ff0-8092-e089b22ba644"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f9fcbfb3130>"
            ]
          },
          "metadata": {},
          "execution_count": 37
        },
        {
          "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": [
        "# Load dataset into batches"
      ],
      "metadata": {
        "id": "9GeiS58d6C8x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "trainloader=torch.utils.data.DataLoader(trainset,batch_size=batch_size,shuffle=True)\n",
        "validloader=torch.utils.data.DataLoader(validset,batch_size=batch_size,shuffle=False)"
      ],
      "metadata": {
        "id": "1AALOj5h4jp-"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Total no. batches in trainloader : {}\".format(len(trainloader)))\n",
        "print(\"Total no. batches in validloader : {}\".format(len(validloader)))"
      ],
      "metadata": {
        "id": "MmTSFxDf5doO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5e98115a-8fba-4c6b-f402-6d842d153c5b"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total no. batches in trainloader : 10\n",
            "Total no. batches in validloader : 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for images,bboxes in trainloader:\n",
        "  break;\n",
        "\n",
        "\n",
        "print(\"Shape of one batch images : {}\".format(images.shape))\n",
        "print(\"Shape of one batch bboxes : {}\".format(bboxes.shape))"
      ],
      "metadata": {
        "id": "X8QEUCAM5gMx",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "323dc141-7490-4635-c76e-21d070e897fb"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of one batch images : torch.Size([16, 3, 140, 140])\n",
            "Shape of one batch bboxes : torch.Size([16, 4])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Create Model"
      ],
      "metadata": {
        "id": "gw47Me0s6NXo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torch import nn\n",
        "import timm"
      ],
      "metadata": {
        "id": "sHS37krT6Uop"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class ObjLocModel(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(ObjLocModel, self).__init__()\n",
        "        self.backbone = timm.create_model(model_name, pretrained=True, num_classes=4)\n",
        "\n",
        "    def forward(self, images, gt_bboxes=None):\n",
        "        bboxes = self.backbone(images)\n",
        "        if gt_bboxes is not None:\n",
        "            loss = nn.MSELoss()(bboxes, gt_bboxes)\n",
        "            return bboxes, loss\n",
        "        return bboxes\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "QXZW4mdk6Mpw"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = ObjLocModel()\n",
        "model.to(device)\n"
      ],
      "metadata": {
        "id": "1GM8RDN05tca",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "outputId": "14a14668-bdec-4dbe-f4d2-f9b16c050a5c"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "error",
          "ename": "RuntimeError",
          "evalue": "Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-51-6a79f3fca8c1>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mObjLocModel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36mto\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1171\u001b[0m                     \u001b[0;32mraise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1172\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1173\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1174\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1175\u001b[0m     def register_full_backward_pre_hook(\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    777\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mrecurse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    778\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mmodule\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 779\u001b[0;31m                 \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    780\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    777\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mrecurse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    778\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mmodule\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 779\u001b[0;31m                 \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    780\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    802\u001b[0m             \u001b[0;31m# `with torch.no_grad():`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    803\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mno_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 804\u001b[0;31m                 \u001b[0mparam_applied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    805\u001b[0m             \u001b[0mp_should_use_set_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparam_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    806\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36mconvert\u001b[0;34m(t)\u001b[0m\n\u001b[1;32m   1157\u001b[0m                         \u001b[0mmemory_format\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconvert_to_format\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1158\u001b[0m                     )\n\u001b[0;32m-> 1159\u001b[0;31m                 return t.to(\n\u001b[0m\u001b[1;32m   1160\u001b[0m                     \u001b[0mdevice\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1161\u001b[0m                     \u001b[0mdtype\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_floating_point\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_complex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py\u001b[0m in \u001b[0;36m_lazy_init\u001b[0;34m()\u001b[0m\n\u001b[1;32m    291\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"LAZY\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 293\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_C\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cuda_init\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    294\u001b[0m         \u001b[0;31m# Some of the queued calls may reentrantly call _lazy_init();\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m         \u001b[0;31m# we need to just return without initializing in that case.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mRuntimeError\u001b[0m: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "random_img=torch.rand(1,3,140,140).to(device)\n",
        "model(random_img).shape\n",
        "#random_bbox=torch.rand(1,4).to(device)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "id": "16Nu6Jr6B3go",
        "outputId": "3e0abbf6-f5f9-42da-c8cd-57a3c130a33e"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "error",
          "ename": "RuntimeError",
          "evalue": "Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-52-a2914d8f3905>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mrandom_img\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrand\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m140\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m140\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrandom_img\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m#random_bbox=torch.rand(1,4).to(device)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py\u001b[0m in \u001b[0;36m_lazy_init\u001b[0;34m()\u001b[0m\n\u001b[1;32m    291\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"LAZY\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 293\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_C\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cuda_init\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    294\u001b[0m         \u001b[0;31m# Some of the queued calls may reentrantly call _lazy_init();\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m         \u001b[0;31m# we need to just return without initializing in that case.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mRuntimeError\u001b[0m: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Create Train and Eval Function"
      ],
      "metadata": {
        "id": "WKf-x-o06juW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def train_fn(model, dataloader, optimizer):\n",
        "    total_loss = 0.0\n",
        "    model.train()  # Set the model to training mode (Dropout ON)\n",
        "\n",
        "    for data in tqdm(dataloader):\n",
        "        images, gt_bboxes = data\n",
        "        images, gt_bboxes = images.to(device), gt_bboxes.to(device)\n",
        "\n",
        "        bboxes, loss = model(images, gt_bboxes)\n",
        "\n",
        "        optimizer.zero_grad()\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "\n",
        "        total_loss += loss.item()\n",
        "\n",
        "    return total_loss / len(dataloader)\n",
        "\n",
        "# Example usage:\n",
        "# Assuming `model`, `train_loader`, and `optimizer` are already defined\n",
        "# avg_loss = train_fn(model, train_loader, optimizer)\n",
        "# print(f'Average Training Loss: {avg_loss:.4f}')\n"
      ],
      "metadata": {
        "id": "W31-rSfG6jUs"
      },
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def eval_fn(model, dataloader):\n",
        "    total_loss = 0.0\n",
        "    model.eval()  # Set the model to training mode (Dropout OFF)\n",
        "\n",
        "    with torch.no_grad():\n",
        "      for data in tqdm(dataloader):\n",
        "          images, gt_bboxes = data\n",
        "          images, gt_bboxes = images.to(device), gt_bboxes.to(device)\n",
        "\n",
        "          bboxes, loss = model(images, gt_bboxes)\n",
        "\n",
        "          total_loss += loss.item()\n",
        "\n",
        "      return total_loss / len(dataloader)"
      ],
      "metadata": {
        "id": "hnBMNmgk6gsq"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Training Loop"
      ],
      "metadata": {
        "id": "LjiHeyg1Oh7k"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "optimizer = torch.optim.Adam(model.parameters(), lr=lr)"
      ],
      "metadata": {
        "id": "glmxW9PqFkXa"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Assuming `model`, `trainloader`, `validloader`, and `optimizer` are defined\n",
        "for epoch in range(epochs):\n",
        "    train_loss = train_fn(model, trainloader, optimizer)\n",
        "    valid_loss = eval_fn(model, validloader)\n",
        "\n",
        "    if valid_loss < best_valid_loss:\n",
        "        torch.save(model.state_dict(), 'best_model.pt')\n",
        "        print(\"WEIGHTS-ARE-SAVED\")\n",
        "        best_valid_loss = valid_loss\n",
        "\n",
        "    print(f\"Epoch {epoch + 1}, Train Loss: {train_loss:.4f}, Valid Loss: {valid_loss:.4f}\")\n"
      ],
      "metadata": {
        "id": "iW_huEVT7kP3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402,
          "referenced_widgets": [
            "f225e14d575b469cb61937415b19ce2d",
            "060023df851f4df8b5c567a87a4c27aa",
            "f46f3e1491724414b2bfa1c405982056",
            "a527e2c42ab74ffb8a143513956611b6",
            "df7c9ce377c2483fb49713a3627aef94",
            "cca958532a1e423fb7b3ec51d47c5e46",
            "da295dd0b3674539adabf347f1bdbe96",
            "b0640a14faac462cb00a24349ed40c01",
            "f5138e8f00ab41dfab112e420197ee48",
            "cd2e704279944428b9db34f4751c4bcd",
            "c90fe4745e274d40af9b7c6521cb161b"
          ]
        },
        "outputId": "a70289c9-2f69-48e2-a0b2-b842ea9b4b39"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f225e14d575b469cb61937415b19ce2d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "RuntimeError",
          "evalue": "Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-58-5b5b792d5a00>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Assuming `model`, `trainloader`, `validloader`, and `optimizer` are defined\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mepoch\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mtrain_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0mvalid_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0meval_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalidloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<ipython-input-55-41cfa2b7bae3>\u001b[0m in \u001b[0;36mtrain_fn\u001b[0;34m(model, dataloader, optimizer)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m         \u001b[0mimages\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgt_bboxes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m         \u001b[0mimages\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgt_bboxes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimages\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgt_bboxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0mbboxes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimages\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgt_bboxes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py\u001b[0m in \u001b[0;36m_lazy_init\u001b[0;34m()\u001b[0m\n\u001b[1;32m    291\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"LAZY\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 293\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_C\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cuda_init\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    294\u001b[0m         \u001b[0;31m# Some of the queued calls may reentrantly call _lazy_init();\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m         \u001b[0;31m# we need to just return without initializing in that case.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mRuntimeError\u001b[0m: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Inference"
      ],
      "metadata": {
        "id": "NfB-cO_jOoG1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import utils"
      ],
      "metadata": {
        "id": "EyNZhifNKGMQ"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Assuming `model` is your ObjLocModel and `validset` is your validation dataset\n",
        "model.load_state_dict(torch.load('best_model.pt'))  # Load the saved model state\n",
        "\n",
        "model.eval()  # Set model to evaluation mode (dropout OFF)\n",
        "\n",
        "with torch.no_grad():\n",
        "    image, gt_bbox = validset[1]  # Assuming validset is a dataset where each element is (image, gt_bbox)\n",
        "    image = image.unsqueeze(0).to(DEVICE)  # Add batch dimension and move to device\n",
        "\n",
        "    out_bbox = model(image)  # Forward pass to get predicted bounding box\n",
        "    out_bbox = out_bbox.squeeze().cpu().numpy()  # Remove batch dimension and convert to numpy array\n",
        "\n",
        "# Assuming utils.compare_plots is a function that plots the image with ground truth and predicted bounding boxes\n",
        "utils.compare_plots(image, gt_bbox, out_bbox)\n"
      ],
      "metadata": {
        "id": "pBTq15Oz7oBq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 370
        },
        "outputId": "77bbe174-833c-4a9b-878c-60964aa58222"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "[Errno 2] No such file or directory: 'best_model.pt'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-60-9bde4319d2f2>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Assuming `model` is your ObjLocModel and `validset` is your validation dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_state_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'best_model.pt'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# Load the saved model state\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# Set model to evaluation mode (dropout OFF)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/serialization.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(f, map_location, pickle_module, weights_only, mmap, **pickle_load_args)\u001b[0m\n\u001b[1;32m    995\u001b[0m         \u001b[0mpickle_load_args\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'encoding'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'utf-8'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    996\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 997\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0m_open_file_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mopened_file\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    998\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0m_is_zipfile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopened_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    999\u001b[0m             \u001b[0;31m# The zipfile reader is going to advance the current file position.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/serialization.py\u001b[0m in \u001b[0;36m_open_file_like\u001b[0;34m(name_or_buffer, mode)\u001b[0m\n\u001b[1;32m    442\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_open_file_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    443\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0m_is_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname_or_buffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 444\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_open_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    445\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    446\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m'w'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/serialization.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, name, mode)\u001b[0m\n\u001b[1;32m    423\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0m_open_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_opener\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    424\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 425\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    426\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    427\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__exit__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'best_model.pt'"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# For updates about upcoming and current guided projects follow me on...\n",
        "\n",
        "Twitter : @parth_AI\n",
        "\n",
        "Linkedin : www.linkedin.com/in/pdhameliya"
      ],
      "metadata": {
        "id": "-KR8r2pZWIH0"
      }
    }
  ]
}