vgg16_khy(0.81144).ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kellykhy/DL2022-1/blob/main/vgg16_khy(0.81144).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oWL5AeGbygDo",
        "outputId": "42736fac-e283-4104-cbcf-921273979259"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/albu/albumentations\n",
            "  Cloning https://github.com/albu/albumentations to /tmp/pip-req-build-e2fqi3rw\n",
            "  Running command git clone -q https://github.com/albu/albumentations /tmp/pip-req-build-e2fqi3rw\n",
            "Requirement already satisfied: numpy>=1.11.1 in /usr/local/lib/python3.7/dist-packages (from albumentations==1.2.0) (1.21.6)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from albumentations==1.2.0) (1.4.1)\n",
            "Requirement already satisfied: scikit-image<0.19,>=0.16.1 in /usr/local/lib/python3.7/dist-packages (from albumentations==1.2.0) (0.18.3)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.7/dist-packages (from albumentations==1.2.0) (3.13)\n",
            "Collecting qudida>=0.0.4\n",
            "  Downloading qudida-0.0.4-py3-none-any.whl (3.5 kB)\n",
            "Requirement already satisfied: opencv-python>=4.1.1 in /usr/local/lib/python3.7/dist-packages (from albumentations==1.2.0) (4.1.2.30)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from qudida>=0.0.4->albumentations==1.2.0) (4.2.0)\n",
            "Collecting opencv-python-headless>=4.0.1\n",
            "  Downloading opencv_python_headless-4.6.0.66-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (48.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 48.3 MB 77.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: scikit-learn>=0.19.1 in /usr/local/lib/python3.7/dist-packages (from qudida>=0.0.4->albumentations==1.2.0) (1.0.2)\n",
            "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (3.2.2)\n",
            "Requirement already satisfied: PyWavelets>=1.1.1 in /usr/local/lib/python3.7/dist-packages (from scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (1.3.0)\n",
            "Requirement already satisfied: pillow!=7.1.0,!=7.1.1,>=4.3.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (7.1.2)\n",
            "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (2.6.3)\n",
            "Requirement already satisfied: tifffile>=2019.7.26 in /usr/local/lib/python3.7/dist-packages (from scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (2021.11.2)\n",
            "Requirement already satisfied: imageio>=2.3.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (2.4.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (1.4.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (3.0.9)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (2.8.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (0.11.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib!=3.0.0,>=2.0.0->scikit-image<0.19,>=0.16.1->albumentations==1.2.0) (1.15.0)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.19.1->qudida>=0.0.4->albumentations==1.2.0) (3.1.0)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.19.1->qudida>=0.0.4->albumentations==1.2.0) (1.1.0)\n",
            "Building wheels for collected packages: albumentations\n",
            "  Building wheel for albumentations (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for albumentations: filename=albumentations-1.2.0-py3-none-any.whl size=113474 sha256=aa9282189fb13d502f2898b7806c17777499dcf418aa91e1d55ef9bc72c61329\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-l___fzo_/wheels/63/11/1a/c77caf3ae9b9b6d57b3ee5e6a41a50f3bc12c66a70f6b90bf0\n",
            "Successfully built albumentations\n",
            "Installing collected packages: opencv-python-headless, qudida, albumentations\n",
            "  Attempting uninstall: albumentations\n",
            "    Found existing installation: albumentations 0.1.12\n",
            "    Uninstalling albumentations-0.1.12:\n",
            "      Successfully uninstalled albumentations-0.1.12\n",
            "Successfully installed albumentations-1.2.0 opencv-python-headless-4.6.0.66 qudida-0.0.4\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting tensorflow_addons\n",
            "  Downloading tensorflow_addons-0.17.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 23.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from tensorflow_addons) (21.3)\n",
            "Requirement already satisfied: typeguard>=2.7 in /usr/local/lib/python3.7/dist-packages (from tensorflow_addons) (2.7.1)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->tensorflow_addons) (3.0.9)\n",
            "Installing collected packages: tensorflow-addons\n",
            "Successfully installed tensorflow-addons-0.17.1\n"
          ]
        }
      ],
      "source": [
        "!pip install -U git+https://github.com/albu/albumentations --no-cache-dir\n",
        "!pip install tensorflow_addons"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 95,
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
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              "     <output id=\"result-de60f44a-a5f2-4dfd-81be-f3cb57992c81\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving kaggle.json to kaggle.json\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'kaggle.json': b'{\"username\":\"kellykimhuiyeong\",\"key\":\"b1f5b9d19a72e8bb929f0aea546ccc4e\"}'}"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "XS5LCSJhZDI5"
      },
      "outputs": [],
      "source": [
        "!mkdir ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle/\n",
        "!chmod 600 ~/.kaggle/kaggle.json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qrhnc3IEXuc0",
        "outputId": "7e133e9e-c627-40de-f8ae-b84685d17550"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading unifesp-xray-body-224-224.zip to /content\n",
            " 79% 41.0M/52.1M [00:01<00:00, 32.3MB/s]\n",
            "100% 52.1M/52.1M [00:01<00:00, 36.3MB/s]\n"
          ]
        }
      ],
      "source": [
        "! kaggle datasets download -d waynewhying/unifesp-xray-body-224-224"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "MdKjrS6fYWMU"
      },
      "outputs": [],
      "source": [
        "! unzip -qq unifesp-xray-body-224-224.zip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "6Toly5l-m1Bz"
      },
      "outputs": [],
      "source": [
        "import os"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6dSQcJ1Hnk4i",
        "outputId": "8fbdcfba-cba8-4be9-9568-50746dbe4c23"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['.config',\n",
              " 'train',\n",
              " 'test',\n",
              " 'kaggle.json',\n",
              " 'unifesp-xray-body-224-224.zip',\n",
              " 'sample_data']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "os.listdir()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! pip uninstall opencv-contrib-python\n",
        "\n",
        "! pip install opencv-contrib-python\n",
        "\n",
        "#cv2 오류시 언인스톨 후 인스톨"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bK0oBpuaeA7b",
        "outputId": "1cfad91a-aa89-4f54-9054-80fcf2fb247a"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found existing installation: opencv-contrib-python 4.1.2.30\n",
            "Uninstalling opencv-contrib-python-4.1.2.30:\n",
            "  Would remove:\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/*\n",
            "    /usr/local/lib/python3.7/dist-packages/opencv_contrib_python-4.1.2.30.dist-info/*\n",
            "  Would not remove (might be manually added):\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/config-3.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/config.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/cv2.abi3.so\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/gapi/__init__.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/load_config_py2.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/load_config_py3.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/mat_wrapper/__init__.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/misc/__init__.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/misc/version.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/utils/__init__.py\n",
            "    /usr/local/lib/python3.7/dist-packages/cv2/version.py\n",
            "Proceed (y/n)? y\n",
            "  Successfully uninstalled opencv-contrib-python-4.1.2.30\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting opencv-contrib-python\n",
            "  Downloading opencv_contrib_python-4.6.0.66-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (67.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 67.1 MB 46 kB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from opencv-contrib-python) (1.21.6)\n",
            "Installing collected packages: opencv-contrib-python\n",
            "Successfully installed opencv-contrib-python-4.6.0.66\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import cv2\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import tensorflow as tf\n",
        "import tensorflow_addons as tfa                 # for the use of RectifiedAdam(RAdam)\n",
        "import albumentations as album\n",
        "import matplotlib.pyplot as plt\n",
        "from skimage.io import imread\n",
        "from sklearn.model_selection import StratifiedKFold"
      ],
      "metadata": {
        "id": "LY2NukMjO3N_"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "albumentations : https://albumentations.ai/"
      ],
      "metadata": {
        "id": "8ogjT7x61GIy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "N_SPLITS = 3\n",
        "IMG_HEIGHT = 224\n",
        "IMG_WIDTH = 224\n",
        "BATCH_SIZE = 16\n",
        "EPOCHS = 200\n",
        "PATIENCE = 8\n",
        "MAX_LR = 1e-5\n",
        "MIN_LR = 1e-6"
      ],
      "metadata": {
        "id": "Xy4c0K0MO37Y"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class_names = np.array([\"Abdomen\", \"Ankle\", \"Cervical Spine\", \"Chest\", \n",
        "                        \"Clavicles\", \"Elbow\", \"Feet\", \"Finger\",\n",
        "                        \"Forearm\", \"Hand\", \"Hip\", \"Knee\",  \n",
        "                        \"Lower Leg\", \"Lumbar Spine\", \"Others\", \"Pelvis\", \n",
        "                        \"Shoulder\", \"Sinus\", \"Skull\", \"Thigh\", \n",
        "                        \"Thoracic Spine\", \"Wrist\"])"
      ],
      "metadata": {
        "id": "XJP581ASPLW0"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hFGIk0S1bX_-",
        "outputId": "1370000a-e801-4ed0-c11c-67b3aef608cf"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dpath = '/content/drive/MyDrive/'"
      ],
      "metadata": {
        "id": "b1UMv6wCb7j1"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **EDA1) train.csv**"
      ],
      "metadata": {
        "id": "9_TJBrSEDdjc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(dpath+\"train.csv\")\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "RCMQkqmzPOAe",
        "outputId": "43ecb5e5-42eb-4a07-c592-d56e7f6475a1"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      SOPInstanceUID Target\n",
              "0  1.2.826.0.1.3680043.8.498.10025629581362719970...     0 \n",
              "1  1.2.826.0.1.3680043.8.498.10036150326276641158...    15 \n",
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              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "\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",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      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",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-bb0eaa06-c8f5-4a7f-b491-37288a3b2a32');\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",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head(10)"
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        "id": "rsw0F_oZzZ0P",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        }
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      SOPInstanceUID  Target\n",
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              "              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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-56faaa0d-ae20-41de-8c33-62a313ee3cdb 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-56faaa0d-ae20-41de-8c33-62a313ee3cdb');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "target = df['Target']\n",
        "\n",
        "num_classes = 22\n",
        "targets = np.zeros((len(df.Target), num_classes), dtype=int)\n",
        "for i, t in enumerate(df.Target):\n",
        "    tmp = []\n",
        "    target = t.strip().split()\n",
        "    for j in target:\n",
        "        tmp.append(j)\n",
        "    if len(tmp) >= 2:\n",
        "        print(tmp, i)"
      ],
      "metadata": {
        "id": "Lzb8liyrwxqW",
        "outputId": "c3a5b940-cff9-4e33-c2e0-adde1bbdbf9c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['13', '20'] 7\n",
            "['9', '21'] 23\n",
            "['13', '20'] 71\n",
            "['13', '20'] 74\n",
            "['0', '3'] 75\n",
            "['13', '20'] 95\n",
            "['1', '11', '12'] 101\n",
            "['13', '20'] 102\n",
            "['0', '15'] 107\n",
            "['9', '21'] 113\n",
            "['13', '20'] 115\n",
            "['9', '21'] 116\n",
            "['13', '20'] 120\n",
            "['11', '12'] 170\n",
            "['1', '6'] 194\n",
            "['9', '21'] 195\n",
            "['9', '21'] 211\n",
            "['9', '21'] 255\n",
            "['13', '20'] 256\n",
            "['9', '21'] 261\n",
            "['9', '21'] 264\n",
            "['13', '20'] 284\n",
            "['13', '20'] 303\n",
            "['13', '20'] 309\n",
            "['0', '3'] 313\n",
            "['10', '19'] 317\n",
            "['0', '3'] 320\n",
            "['13', '20'] 345\n",
            "['1', '6'] 354\n",
            "['13', '20'] 371\n",
            "['13', '20'] 409\n",
            "['9', '21'] 445\n",
            "['1', '6'] 460\n",
            "['1', '11', '12'] 464\n",
            "['13', '20'] 479\n",
            "['9', '21'] 489\n",
            "['0', '3'] 505\n",
            "['5', '8'] 508\n",
            "['3', '15'] 514\n",
            "['13', '20'] 533\n",
            "['13', '20'] 543\n",
            "['9', '21'] 552\n",
            "['9', '21'] 581\n",
            "['7', '9'] 582\n",
            "['0', '3'] 586\n",
            "['9', '21'] 618\n",
            "['15', '19'] 627\n",
            "['13', '20'] 628\n",
            "['13', '20'] 629\n",
            "['1', '11', '12'] 635\n",
            "['1', '6'] 659\n",
            "['13', '20'] 693\n",
            "['13', '20'] 700\n",
            "['13', '20'] 720\n",
            "['2', '13', '20'] 735\n",
            "['9', '21'] 742\n",
            "['9', '21'] 751\n",
            "['9', '21'] 772\n",
            "['13', '20'] 782\n",
            "['13', '20'] 801\n",
            "['13', '20'] 810\n",
            "['13', '20'] 817\n",
            "['13', '20'] 823\n",
            "['9', '21'] 839\n",
            "['13', '20'] 847\n",
            "['13', '20'] 875\n",
            "['0', '3'] 876\n",
            "['9', '21'] 878\n",
            "['0', '3'] 886\n",
            "['9', '21'] 894\n",
            "['3', '6'] 908\n",
            "['13', '20'] 924\n",
            "['2', '20'] 927\n",
            "['13', '20'] 932\n",
            "['13', '20'] 935\n",
            "['13', '20'] 945\n",
            "['9', '21'] 962\n",
            "['1', '6'] 963\n",
            "['13', '20'] 969\n",
            "['1', '11', '12'] 971\n",
            "['13', '20'] 1003\n",
            "['13', '20'] 1055\n",
            "['9', '21'] 1062\n",
            "['9', '21'] 1075\n",
            "['9', '21'] 1076\n",
            "['9', '21'] 1084\n",
            "['10', '11', '19'] 1089\n",
            "['13', '20'] 1122\n",
            "['1', '11', '12'] 1134\n",
            "['13', '20'] 1172\n",
            "['15', '19'] 1189\n",
            "['9', '21'] 1197\n",
            "['9', '21'] 1207\n",
            "['0', '3'] 1234\n",
            "['9', '21'] 1246\n",
            "['13', '20'] 1249\n",
            "['9', '21'] 1251\n",
            "['2', '13', '20'] 1258\n",
            "['10', '11', '19'] 1292\n",
            "['9', '21'] 1294\n",
            "['9', '21'] 1338\n",
            "['9', '21'] 1340\n",
            "['9', '21'] 1344\n",
            "['10', '19'] 1353\n",
            "['9', '21'] 1356\n",
            "['9', '21'] 1358\n",
            "['1', '12'] 1365\n",
            "['9', '21'] 1369\n",
            "['9', '21'] 1371\n",
            "['9', '21'] 1409\n",
            "['3', '7'] 1420\n",
            "['9', '21'] 1432\n",
            "['9', '21'] 1456\n",
            "['0', '3'] 1481\n",
            "['9', '21'] 1491\n",
            "['2', '13', '20'] 1520\n",
            "['0', '3'] 1529\n",
            "['13', '20'] 1536\n",
            "['13', '20'] 1577\n",
            "['10', '19'] 1578\n",
            "['9', '21'] 1581\n",
            "['1', '6'] 1590\n",
            "['1', '6'] 1600\n",
            "['8', '16'] 1607\n",
            "['13', '20'] 1608\n",
            "['5', '8'] 1614\n",
            "['9', '21'] 1621\n",
            "['10', '19'] 1631\n",
            "['13', '20'] 1635\n",
            "['13', '20'] 1670\n",
            "['0', '3'] 1718\n",
            "['13', '20'] 1727\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **df that contains target number and hot-encoded label**"
      ],
      "metadata": {
        "id": "YWsKl9HNYv2z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "images_path = \"/content/train/\"\n",
        "temp_SOPInstanceUID = []\n",
        "for i in df.SOPInstanceUID:\n",
        "    temp_SOPInstanceUID.append(images_path + i + \".png\")\n",
        "df.SOPInstanceUID = temp_SOPInstanceUID"
      ],
      "metadata": {
        "id": "l0Sje2fbP1ZG"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "num_classes = 22\n",
        "targets = np.zeros((len(df.Target), num_classes), dtype=int)\n",
        "for i, t in enumerate(df.Target):\n",
        "    target = t.strip().split()\n",
        "    for j in target:\n",
        "        targets[i, int(j)] = 1\n",
        "df2 = pd.DataFrame(targets, columns=class_names)"
      ],
      "metadata": {
        "id": "jmvQDeaQQhHu"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.concat([df, df2], axis=1) \n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 236
        },
        "id": "Sw0D0o5tQiAY",
        "outputId": "80d7e9df-d296-421c-d64b-e70c7bd8dcb2"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      SOPInstanceUID Target  Abdomen  Ankle  \\\n",
              "0  /content/train/1.2.826.0.1.3680043.8.498.10025...     0         1      0   \n",
              "1  /content/train/1.2.826.0.1.3680043.8.498.10036...    15         0      0   \n",
              "2  /content/train/1.2.826.0.1.3680043.8.498.10038...    12         0      0   \n",
              "3  /content/train/1.2.826.0.1.3680043.8.498.10050...    14         0      0   \n",
              "4  /content/train/1.2.826.0.1.3680043.8.498.10053...     3         0      0   \n",
              "\n",
              "   Cervical Spine  Chest  Clavicles  Elbow  Feet  Finger  ...  Lower Leg  \\\n",
              "0               0      0          0      0     0       0  ...          0   \n",
              "1               0      0          0      0     0       0  ...          0   \n",
              "2               0      0          0      0     0       0  ...          1   \n",
              "3               0      0          0      0     0       0  ...          0   \n",
              "4               0      1          0      0     0       0  ...          0   \n",
              "\n",
              "   Lumbar Spine  Others  Pelvis  Shoulder  Sinus  Skull  Thigh  \\\n",
              "0             0       0       0         0      0      0      0   \n",
              "1             0       0       1         0      0      0      0   \n",
              "2             0       0       0         0      0      0      0   \n",
              "3             0       1       0         0      0      0      0   \n",
              "4             0       0       0         0      0      0      0   \n",
              "\n",
              "   Thoracic Spine  Wrist  \n",
              "0               0      0  \n",
              "1               0      0  \n",
              "2               0      0  \n",
              "3               0      0  \n",
              "4               0      0  \n",
              "\n",
              "[5 rows x 24 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2952493d-515f-4740-ba7c-cfc304371ada\">\n",
              "    <div 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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              "    .dataframe tbody tr th {\n",
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              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SOPInstanceUID</th>\n",
              "      <th>Target</th>\n",
              "      <th>Abdomen</th>\n",
              "      <th>Ankle</th>\n",
              "      <th>Cervical Spine</th>\n",
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              "      <th>Finger</th>\n",
              "      <th>...</th>\n",
              "      <th>Lower Leg</th>\n",
              "      <th>Lumbar Spine</th>\n",
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              "      <th>Pelvis</th>\n",
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              "      <th>Sinus</th>\n",
              "      <th>Skull</th>\n",
              "      <th>Thigh</th>\n",
              "      <th>Thoracic Spine</th>\n",
              "      <th>Wrist</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <td>/content/train/1.2.826.0.1.3680043.8.498.10038...</td>\n",
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              "      <th>3</th>\n",
              "      <td>/content/train/1.2.826.0.1.3680043.8.498.10050...</td>\n",
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              "<p>5 rows × 24 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2952493d-515f-4740-ba7c-cfc304371ada')\"\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 0 24 24\"\n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "      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",
              "    [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-2952493d-515f-4740-ba7c-cfc304371ada 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-2952493d-515f-4740-ba7c-cfc304371ada');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **EDA2) visualize train targets**"
      ],
      "metadata": {
        "id": "Ue0QEMqjYey3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(20, 5))\n",
        "plt.bar(np.arange(22), targets.sum(axis=0), color='grey')\n",
        "plt.xticks(ticks=np.arange(22), labels=class_names, rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "lOt3R40IZMT1",
        "outputId": "0487f52a-e11e-4b51-8313-c707b3d3a07b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **EDA3) first nine train datas**"
      ],
      "metadata": {
        "id": "jndrzMc0Y-1R"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12, 12))\n",
        "for i in range(9):\n",
        "    # image\n",
        "    ax = plt.subplot(3, 3, i+1)\n",
        "    filename = df.iloc[i].SOPInstanceUID\n",
        "    img = imread(filename)\n",
        "    plt.imshow(img, cmap='gray')\n",
        "    # titles\n",
        "    labels = df.iloc[i].Target.strip().split()\n",
        "    if len(labels) == 1:\n",
        "        plt.title(class_names[int(labels[0])])\n",
        "    else:\n",
        "        titles = []\n",
        "        for label in labels:\n",
        "            titles.append(class_names[int(label)])\n",
        "        plt.title(\", \".join(titles))\n",
        "    plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 699
        },
        "id": "sM9KUAFhZQsb",
        "outputId": "193c3311-f24d-4c11-880d-114e4f9752b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x864 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12, 12))\n",
        "ax = plt.subplot(3, 3, 1)\n",
        "filename = df.iloc[7].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[7].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 2)\n",
        "filename = df.iloc[23].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[23].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 3)\n",
        "filename = df.iloc[508].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[508].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 4)\n",
        "filename = df.iloc[74].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[74].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 5)\n",
        "filename = df.iloc[75].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[75].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 6)\n",
        "filename = df.iloc[1409].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[1409].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 7)\n",
        "filename = df.iloc[464].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[464].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 8)\n",
        "filename = df.iloc[1292].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[1292].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "\n",
        "ax = plt.subplot(3, 3, 9)\n",
        "filename = df.iloc[1134].SOPInstanceUID\n",
        "img = imread(filename)\n",
        "plt.imshow(img, cmap='gray')\n",
        "# titles\n",
        "labels = df.iloc[1134].Target.strip().split()\n",
        "if len(labels) == 1:\n",
        "    plt.title(class_names[int(labels[0])])\n",
        "else:\n",
        "    titles = []\n",
        "    for label in labels:\n",
        "        titles.append(class_names[int(label)])\n",
        "    plt.title(\", \".join(titles))\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 699
        },
        "id": "JO1JEzdxfcSo",
        "outputId": "7a4ecdec-e7ac-4a0b-c1be-014421f21bc7"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x864 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **df_test from sample_submission.csv file(contains SOPInstanceUID of test data set)**"
      ],
      "metadata": {
        "id": "Cti78avnZONP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_test = pd.read_csv(dpath+\"sample_submission.csv\")\n",
        "df_test.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "r0z-fiwUcckv",
        "outputId": "781f6761-7c98-45fb-b03f-71cf77f6e09f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      SOPInstanceUID  \\\n",
              "0  1.2.826.0.1.3680043.8.498.10001001190452685542...   \n",
              "1  1.2.826.0.1.3680043.8.498.10022667601042710442...   \n",
              "2  1.2.826.0.1.3680043.8.498.10024395388921105474...   \n",
              "3  1.2.826.0.1.3680043.8.498.10026689165626095651...   \n",
              "4  1.2.826.0.1.3680043.8.498.10035936364561920980...   \n",
              "\n",
              "                                              Target  \n",
              "0  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "1  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "2  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "3  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "4  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0620079f-5a5f-44e1-912e-3a7d9e26e12c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SOPInstanceUID</th>\n",
              "      <th>Target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10001001190452685542...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10022667601042710442...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10024395388921105474...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10026689165626095651...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10035936364561920980...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0620079f-5a5f-44e1-912e-3a7d9e26e12c')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "      </button>\n",
              "      \n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-0620079f-5a5f-44e1-912e-3a7d9e26e12c 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-0620079f-5a5f-44e1-912e-3a7d9e26e12c');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "images_path = \"../content/test/\"\n",
        "temp_SOPInstanceUID = []\n",
        "for i in df_test.SOPInstanceUID:\n",
        "    temp_SOPInstanceUID.append(images_path + i + \".png\")\n",
        "df_test.SOPInstanceUID = temp_SOPInstanceUID"
      ],
      "metadata": {
        "id": "p9ESjUnkcsFy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_test.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "puU_RzqKc3P7",
        "outputId": "fc818355-f5c4-46c0-e51a-b6410a18a8eb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      SOPInstanceUID  \\\n",
              "0  ../content/test/1.2.826.0.1.3680043.8.498.1000...   \n",
              "1  ../content/test/1.2.826.0.1.3680043.8.498.1002...   \n",
              "2  ../content/test/1.2.826.0.1.3680043.8.498.1002...   \n",
              "3  ../content/test/1.2.826.0.1.3680043.8.498.1002...   \n",
              "4  ../content/test/1.2.826.0.1.3680043.8.498.1003...   \n",
              "\n",
              "                                              Target  \n",
              "0  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "1  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "2  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "3  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  \n",
              "4  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c5295c1c-f80b-4d0d-9760-503e8bb38376\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SOPInstanceUID</th>\n",
              "      <th>Target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>../content/test/1.2.826.0.1.3680043.8.498.1000...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>../content/test/1.2.826.0.1.3680043.8.498.1002...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>../content/test/1.2.826.0.1.3680043.8.498.1002...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>../content/test/1.2.826.0.1.3680043.8.498.1002...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>../content/test/1.2.826.0.1.3680043.8.498.1003...</td>\n",
              "      <td>0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c5295c1c-f80b-4d0d-9760-503e8bb38376')\"\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 0 24 24\"\n",
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              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "    }\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",
              "    [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-c5295c1c-f80b-4d0d-9760-503e8bb38376 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-c5295c1c-f80b-4d0d-9760-503e8bb38376');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_test = df_test.SOPInstanceUID.to_numpy()"
      ],
      "metadata": {
        "id": "_oXbtl-Pc-26"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **X, y**"
      ],
      "metadata": {
        "id": "6Pk2LubjZp9m"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.SOPInstanceUID.to_numpy()\n",
        "y = df.iloc[:, 2:].to_numpy()"
      ],
      "metadata": {
        "id": "JWA2FQVTc_Z1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **StratifiedFold**"
      ],
      "metadata": {
        "id": "Bt79An3VZsvd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "skf = StratifiedKFold(n_splits=N_SPLITS, shuffle=True, random_state=42)\n",
        "\n",
        "for train_index, valid_index in skf.split(X, np.argmax(y, axis=1)):\n",
        "    X_train, X_valid = X[train_index], X[valid_index]\n",
        "    y_train, y_valid = y[train_index], y[valid_index]\n",
        "\n",
        "print(f\"train size: {y_train.shape[0]}\")\n",
        "print(f\"valid size: {y_valid.shape[0]}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DL7G7YYidBDF",
        "outputId": "2767747e-104f-465d-e3fa-0488ae200a5c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "train size: 1159\n",
            "valid size: 579\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Data Augmentation**"
      ],
      "metadata": {
        "id": "tZtG8fzRZ4OY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class DataAugmentation:\n",
        "    def __init__(self):\n",
        "        self.transforms = album.Compose([\n",
        "            album.HorizontalFlip(p=0.5),\n",
        "            album.ShiftScaleRotate(shift_limit=0.15, \n",
        "                                   scale_limit=0.2, \n",
        "                                   rotate_limit=25, \n",
        "                                   border_mode=cv2.BORDER_CONSTANT, p=0.75),\n",
        "            album.OneOf([\n",
        "                album.RandomBrightnessContrast(brightness_limit=0.2, \n",
        "                                               contrast_limit=0.2, p=0.5),\n",
        "                album.RandomGamma(gamma_limit=(70, 130), p=0.5),\n",
        "                ], p=0.5),\n",
        "            album.OneOf([\n",
        "                album.Blur(p=0.1),\n",
        "                album.GaussianBlur(p=0.1),\n",
        "                album.MotionBlur(p=0.1),\n",
        "                ], p=0.1),\n",
        "            album.OneOf([\n",
        "                album.GaussNoise(p=0.1),\n",
        "                album.GridDropout(ratio=0.5, p=0.2),\n",
        "                album.CoarseDropout(max_holes=16, max_height=16, max_width=16,\n",
        "                                    min_holes= 8, min_height= 8, min_width= 8, p=0.2)\n",
        "                ], p=0.5),\n",
        "            ])\n",
        "\n",
        "    def aug_fn(self, image):\n",
        "        data = {\"image\":image}\n",
        "        aug_data = self.transforms(**data)\n",
        "        aug_img = aug_data[\"image\"]\n",
        "        aug_img = tf.cast(aug_img, tf.float32)\n",
        "        return aug_img\n",
        "\n",
        "    def augment_iamge(self, img, label):\n",
        "        aug_img = tf.numpy_function(func=self.aug_fn, inp=[img], Tout=tf.float32)\n",
        "        return aug_img, label"
      ],
      "metadata": {
        "id": "BYkvCyI7dC3z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **?**"
      ],
      "metadata": {
        "id": "xCbKn9caaCMd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "AUTOTUNE = tf.data.AUTOTUNE"
      ],
      "metadata": {
        "id": "Ws9UWSnddDmM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def process_path(file_path, label):\n",
        "    img = tf.io.read_file(file_path)\n",
        "    img = tf.image.decode_png(img, channels=1, dtype=tf.uint8)\n",
        "    return img, label\n",
        "\n",
        "def process_test_path(file_path):\n",
        "    img = tf.io.read_file(file_path)\n",
        "    img = tf.image.decode_png(img, channels=1, dtype=tf.uint8)\n",
        "    return img"
      ],
      "metadata": {
        "id": "yR7Dpr6cdETh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_ds = tf.data.Dataset.from_tensor_slices((X_train, y_train))\n",
        "valid_ds = tf.data.Dataset.from_tensor_slices((X_valid, y_valid))\n",
        "test_ds = tf.data.Dataset.from_tensor_slices((X_test))"
      ],
      "metadata": {
        "id": "RjljifQEdGvv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_ds = train_ds.map(process_path, num_parallel_calls=AUTOTUNE)\n",
        "valid_ds = valid_ds.map(process_path, num_parallel_calls=AUTOTUNE)\n",
        "test_ds = test_ds.map(process_test_path, num_parallel_calls=AUTOTUNE)"
      ],
      "metadata": {
        "id": "cN4ePT8GdHuE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "data augmentation"
      ],
      "metadata": {
        "id": "RYbMaGsiR9RK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "aug_train = DataAugmentation()\n",
        "train_ds = train_ds.map(aug_train.augment_iamge, num_parallel_calls=AUTOTUNE)"
      ],
      "metadata": {
        "id": "ccqqTKOGdJvf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "batchsize"
      ],
      "metadata": {
        "id": "-Jxhbqu3SB1e"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_ds = train_ds.batch(BATCH_SIZE)\n",
        "valid_ds = valid_ds.batch(BATCH_SIZE)\n",
        "test_ds = test_ds.batch(BATCH_SIZE)"
      ],
      "metadata": {
        "id": "NNQ2PLyWehUf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "image_batch, label_batch = next(iter(train_ds))"
      ],
      "metadata": {
        "id": "SKPHicr3eoNS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_ds = train_ds.cache().prefetch(buffer_size=AUTOTUNE).repeat()\n",
        "valid_ds = valid_ds.cache().prefetch(buffer_size=AUTOTUNE).repeat()\n",
        "test_ds = test_ds.prefetch(buffer_size=AUTOTUNE)"
      ],
      "metadata": {
        "id": "5VvTJSXBeqcO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "model"
      ],
      "metadata": {
        "id": "z7LzR488SHfF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.applications.vgg16 import VGG16\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.applications.vgg16 import preprocess_input"
      ],
      "metadata": {
        "id": "TolZk5bNOqTU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tf.keras.mixed_precision.set_global_policy('mixed_float16')\n",
        "\n",
        "def get_model(input_shape, output_shape):\n",
        "    base_model = tf.keras.applications.VGG16(input_shape=(input_shape[0],input_shape[1],3),\n",
        "                                                                   include_top=False)\n",
        "    inputs = tf.keras.Input(shape=input_shape)\n",
        "    x = tf.tile(inputs, (1, 1, 1, 3))\n",
        "    # Transfer Learning\n",
        "    x = base_model(x)\n",
        "    # Dense\n",
        "    x = tf.keras.layers.Flatten()(x)\n",
        "    x = tf.keras.layers.Dense(256, activation = \"relu\")(x)\n",
        "    x = tf.keras.layers.Dropout(0.6)(x)\n",
        "    outputs = tf.keras.layers.Dense(output_shape, activation=\"sigmoid\", dtype='float32')(x)\n",
        "\n",
        "    model = tf.keras.Model(inputs, outputs)\n",
        "    return model"
      ],
      "metadata": {
        "id": "dq5QSNVhe6CS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = get_model(input_shape=(IMG_HEIGHT, IMG_WIDTH, 1), output_shape=num_classes)"
      ],
      "metadata": {
        "id": "8gFLMxfPe7LH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "steps_per_epoch = len(y_train)//BATCH_SIZE\n",
        "validation_steps = len(y_valid)//BATCH_SIZE"
      ],
      "metadata": {
        "id": "PcdcQvTke8dY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(optimizer=tfa.optimizers.RectifiedAdam(learning_rate=MAX_LR,          # https://www.tensorflow.org/addons/api_docs/python/tfa/optimizers (tfa.optimizers) https://zzaebok.github.io/deep_learning/RAdam/(RAadam)\n",
        "                                                     total_steps=EPOCHS*steps_per_epoch,\n",
        "                                                     warmup_proportion=0.1,\n",
        "                                                     min_lr=MIN_LR), \n",
        "              loss=tf.losses.BinaryCrossentropy(),\n",
        "              metrics=['binary_accuracy'])"
      ],
      "metadata": {
        "id": "-o0X2SIBe-dj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "my_callbacks = tf.keras.callbacks.EarlyStopping(patience=PATIENCE, \n",
        "                                                monitor='val_loss', \n",
        "                                                restore_best_weights=True)"
      ],
      "metadata": {
        "id": "5FU2fJn9e_8U"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tf.config.run_functions_eagerly(True)"
      ],
      "metadata": {
        "id": "7a5mLf3vfZ6N"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "history = model.fit(train_ds, \n",
        "                    validation_data=valid_ds,\n",
        "                    epochs=EPOCHS,\n",
        "                    callbacks=[my_callbacks],\n",
        "                    steps_per_epoch=steps_per_epoch,\n",
        "                    validation_steps=validation_steps,\n",
        "                    verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CfZkNrFifBW2",
        "outputId": "61815b29-d37d-42ca-e9fc-8f00bd953443"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/200\n",
            "72/72 [==============================] - 15s 207ms/step - loss: 5.7051 - binary_accuracy: 0.5034 - val_loss: 3.4479 - val_binary_accuracy: 0.5070\n",
            "Epoch 2/200\n",
            "72/72 [==============================] - 15s 208ms/step - loss: 4.9791 - binary_accuracy: 0.5130 - val_loss: 2.8036 - val_binary_accuracy: 0.5346\n",
            "Epoch 3/200\n",
            "72/72 [==============================] - 16s 219ms/step - loss: 3.8129 - binary_accuracy: 0.5320 - val_loss: 1.9918 - val_binary_accuracy: 0.5699\n",
            "Epoch 4/200\n",
            "72/72 [==============================] - 15s 205ms/step - loss: 2.5914 - binary_accuracy: 0.5515 - val_loss: 1.3708 - val_binary_accuracy: 0.6093\n",
            "Epoch 5/200\n",
            "72/72 [==============================] - 16s 218ms/step - loss: 1.7395 - binary_accuracy: 0.5724 - val_loss: 0.9822 - val_binary_accuracy: 0.6371\n",
            "Epoch 6/200\n",
            "72/72 [==============================] - 16s 218ms/step - loss: 1.2284 - binary_accuracy: 0.5965 - val_loss: 0.7545 - val_binary_accuracy: 0.6672\n",
            "Epoch 7/200\n",
            "72/72 [==============================] - 16s 218ms/step - loss: 0.9169 - binary_accuracy: 0.6223 - val_loss: 0.6092 - val_binary_accuracy: 0.7025\n",
            "Epoch 8/200\n",
            "72/72 [==============================] - 15s 205ms/step - loss: 0.7461 - binary_accuracy: 0.6531 - val_loss: 0.5202 - val_binary_accuracy: 0.7498\n",
            "Epoch 9/200\n",
            "72/72 [==============================] - 16s 217ms/step - loss: 0.6392 - binary_accuracy: 0.6928 - val_loss: 0.4548 - val_binary_accuracy: 0.8019\n",
            "Epoch 10/200\n",
            "72/72 [==============================] - 15s 204ms/step - loss: 0.5594 - binary_accuracy: 0.7277 - val_loss: 0.3919 - val_binary_accuracy: 0.8557\n",
            "Epoch 11/200\n",
            "72/72 [==============================] - 16s 217ms/step - loss: 0.4947 - binary_accuracy: 0.7654 - val_loss: 0.3235 - val_binary_accuracy: 0.9089\n",
            "Epoch 12/200\n",
            "72/72 [==============================] - 15s 204ms/step - loss: 0.4296 - binary_accuracy: 0.8084 - val_loss: 0.2525 - val_binary_accuracy: 0.9395\n",
            "Epoch 13/200\n",
            "72/72 [==============================] - 16s 217ms/step - loss: 0.3762 - binary_accuracy: 0.8434 - val_loss: 0.2043 - val_binary_accuracy: 0.9500\n",
            "Epoch 14/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.3319 - binary_accuracy: 0.8721 - val_loss: 0.1794 - val_binary_accuracy: 0.9526\n",
            "Epoch 15/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.3021 - binary_accuracy: 0.8859 - val_loss: 0.1645 - val_binary_accuracy: 0.9562\n",
            "Epoch 16/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.2939 - binary_accuracy: 0.8955 - val_loss: 0.1605 - val_binary_accuracy: 0.9581\n",
            "Epoch 17/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.2791 - binary_accuracy: 0.9013 - val_loss: 0.1552 - val_binary_accuracy: 0.9594\n",
            "Epoch 18/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.2623 - binary_accuracy: 0.9087 - val_loss: 0.1491 - val_binary_accuracy: 0.9628\n",
            "Epoch 19/200\n",
            "72/72 [==============================] - 16s 217ms/step - loss: 0.2541 - binary_accuracy: 0.9128 - val_loss: 0.1446 - val_binary_accuracy: 0.9639\n",
            "Epoch 20/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.2482 - binary_accuracy: 0.9135 - val_loss: 0.1403 - val_binary_accuracy: 0.9650\n",
            "Epoch 21/200\n",
            "72/72 [==============================] - 15s 216ms/step - loss: 0.2410 - binary_accuracy: 0.9176 - val_loss: 0.1367 - val_binary_accuracy: 0.9656\n",
            "Epoch 22/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.2352 - binary_accuracy: 0.9178 - val_loss: 0.1338 - val_binary_accuracy: 0.9664\n",
            "Epoch 23/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.2335 - binary_accuracy: 0.9215 - val_loss: 0.1297 - val_binary_accuracy: 0.9670\n",
            "Epoch 24/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.2211 - binary_accuracy: 0.9244 - val_loss: 0.1256 - val_binary_accuracy: 0.9674\n",
            "Epoch 25/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.2203 - binary_accuracy: 0.9255 - val_loss: 0.1224 - val_binary_accuracy: 0.9680\n",
            "Epoch 26/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.2175 - binary_accuracy: 0.9254 - val_loss: 0.1205 - val_binary_accuracy: 0.9686\n",
            "Epoch 27/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.2094 - binary_accuracy: 0.9290 - val_loss: 0.1169 - val_binary_accuracy: 0.9686\n",
            "Epoch 28/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.2040 - binary_accuracy: 0.9324 - val_loss: 0.1141 - val_binary_accuracy: 0.9688\n",
            "Epoch 29/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.2029 - binary_accuracy: 0.9326 - val_loss: 0.1120 - val_binary_accuracy: 0.9691\n",
            "Epoch 30/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.1932 - binary_accuracy: 0.9351 - val_loss: 0.1098 - val_binary_accuracy: 0.9693\n",
            "Epoch 31/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.1892 - binary_accuracy: 0.9384 - val_loss: 0.1071 - val_binary_accuracy: 0.9695\n",
            "Epoch 32/200\n",
            "72/72 [==============================] - 15s 207ms/step - loss: 0.1881 - binary_accuracy: 0.9372 - val_loss: 0.1053 - val_binary_accuracy: 0.9698\n",
            "Epoch 33/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1832 - binary_accuracy: 0.9407 - val_loss: 0.1022 - val_binary_accuracy: 0.9697\n",
            "Epoch 34/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.1804 - binary_accuracy: 0.9372 - val_loss: 0.1018 - val_binary_accuracy: 0.9698\n",
            "Epoch 35/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1698 - binary_accuracy: 0.9422 - val_loss: 0.0986 - val_binary_accuracy: 0.9699\n",
            "Epoch 36/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.1726 - binary_accuracy: 0.9413 - val_loss: 0.0953 - val_binary_accuracy: 0.9703\n",
            "Epoch 37/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.1641 - binary_accuracy: 0.9436 - val_loss: 0.0932 - val_binary_accuracy: 0.9708\n",
            "Epoch 38/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.1606 - binary_accuracy: 0.9446 - val_loss: 0.0919 - val_binary_accuracy: 0.9707\n",
            "Epoch 39/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1568 - binary_accuracy: 0.9459 - val_loss: 0.0878 - val_binary_accuracy: 0.9720\n",
            "Epoch 40/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1566 - binary_accuracy: 0.9464 - val_loss: 0.0867 - val_binary_accuracy: 0.9720\n",
            "Epoch 41/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.1466 - binary_accuracy: 0.9487 - val_loss: 0.0849 - val_binary_accuracy: 0.9725\n",
            "Epoch 42/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.1478 - binary_accuracy: 0.9493 - val_loss: 0.0825 - val_binary_accuracy: 0.9729\n",
            "Epoch 43/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1405 - binary_accuracy: 0.9514 - val_loss: 0.0821 - val_binary_accuracy: 0.9734\n",
            "Epoch 44/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1354 - binary_accuracy: 0.9533 - val_loss: 0.0789 - val_binary_accuracy: 0.9747\n",
            "Epoch 45/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1348 - binary_accuracy: 0.9523 - val_loss: 0.0775 - val_binary_accuracy: 0.9757\n",
            "Epoch 46/200\n",
            "72/72 [==============================] - 15s 216ms/step - loss: 0.1282 - binary_accuracy: 0.9543 - val_loss: 0.0759 - val_binary_accuracy: 0.9761\n",
            "Epoch 47/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.1256 - binary_accuracy: 0.9563 - val_loss: 0.0757 - val_binary_accuracy: 0.9759\n",
            "Epoch 48/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.1215 - binary_accuracy: 0.9563 - val_loss: 0.0749 - val_binary_accuracy: 0.9766\n",
            "Epoch 49/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.1150 - binary_accuracy: 0.9590 - val_loss: 0.0745 - val_binary_accuracy: 0.9761\n",
            "Epoch 50/200\n",
            "72/72 [==============================] - 15s 204ms/step - loss: 0.1197 - binary_accuracy: 0.9576 - val_loss: 0.0740 - val_binary_accuracy: 0.9765\n",
            "Epoch 51/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.1092 - binary_accuracy: 0.9613 - val_loss: 0.0717 - val_binary_accuracy: 0.9776\n",
            "Epoch 52/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.1078 - binary_accuracy: 0.9597 - val_loss: 0.0734 - val_binary_accuracy: 0.9762\n",
            "Epoch 53/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.1051 - binary_accuracy: 0.9637 - val_loss: 0.0697 - val_binary_accuracy: 0.9776\n",
            "Epoch 54/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.1045 - binary_accuracy: 0.9629 - val_loss: 0.0709 - val_binary_accuracy: 0.9774\n",
            "Epoch 55/200\n",
            "72/72 [==============================] - 14s 202ms/step - loss: 0.1003 - binary_accuracy: 0.9642 - val_loss: 0.0713 - val_binary_accuracy: 0.9772\n",
            "Epoch 56/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.0976 - binary_accuracy: 0.9641 - val_loss: 0.0703 - val_binary_accuracy: 0.9774\n",
            "Epoch 57/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.0936 - binary_accuracy: 0.9663 - val_loss: 0.0680 - val_binary_accuracy: 0.9780\n",
            "Epoch 58/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.0914 - binary_accuracy: 0.9656 - val_loss: 0.0707 - val_binary_accuracy: 0.9774\n",
            "Epoch 59/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.0898 - binary_accuracy: 0.9663 - val_loss: 0.0704 - val_binary_accuracy: 0.9780\n",
            "Epoch 60/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.0838 - binary_accuracy: 0.9686 - val_loss: 0.0699 - val_binary_accuracy: 0.9783\n",
            "Epoch 61/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.0805 - binary_accuracy: 0.9702 - val_loss: 0.0678 - val_binary_accuracy: 0.9778\n",
            "Epoch 62/200\n",
            "72/72 [==============================] - 14s 202ms/step - loss: 0.0803 - binary_accuracy: 0.9713 - val_loss: 0.0696 - val_binary_accuracy: 0.9789\n",
            "Epoch 63/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.0791 - binary_accuracy: 0.9718 - val_loss: 0.0673 - val_binary_accuracy: 0.9797\n",
            "Epoch 64/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.0768 - binary_accuracy: 0.9722 - val_loss: 0.0694 - val_binary_accuracy: 0.9797\n",
            "Epoch 65/200\n",
            "72/72 [==============================] - 15s 202ms/step - loss: 0.0732 - binary_accuracy: 0.9733 - val_loss: 0.0721 - val_binary_accuracy: 0.9791\n",
            "Epoch 66/200\n",
            "72/72 [==============================] - 15s 203ms/step - loss: 0.0712 - binary_accuracy: 0.9748 - val_loss: 0.0703 - val_binary_accuracy: 0.9785\n",
            "Epoch 67/200\n",
            "72/72 [==============================] - 16s 220ms/step - loss: 0.0670 - binary_accuracy: 0.9751 - val_loss: 0.0712 - val_binary_accuracy: 0.9794\n",
            "Epoch 68/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.0658 - binary_accuracy: 0.9759 - val_loss: 0.0689 - val_binary_accuracy: 0.9794\n",
            "Epoch 69/200\n",
            "72/72 [==============================] - 15s 215ms/step - loss: 0.0673 - binary_accuracy: 0.9746 - val_loss: 0.0706 - val_binary_accuracy: 0.9796\n",
            "Epoch 70/200\n",
            "72/72 [==============================] - 14s 202ms/step - loss: 0.0624 - binary_accuracy: 0.9768 - val_loss: 0.0751 - val_binary_accuracy: 0.9791\n",
            "Epoch 71/200\n",
            "72/72 [==============================] - 16s 216ms/step - loss: 0.0635 - binary_accuracy: 0.9773 - val_loss: 0.0772 - val_binary_accuracy: 0.9783\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4))\n",
        "ax1.set_title('Accuracy')\n",
        "ax1.plot(history.history['binary_accuracy'], 'r', marker=\"o\", label='accuracy')\n",
        "ax1.plot(history.history['val_binary_accuracy'], 'g', marker=\"x\", label='val_accuracy')\n",
        "ax1.legend()\n",
        "\n",
        "ax2.set_title('Loss')\n",
        "ax2.plot(history.history['loss'], 'r', marker=\"o\", label='loss')\n",
        "ax2.plot(history.history['val_loss'], 'g', marker=\"x\", label='val_loss')\n",
        "ax2.legend()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "VOjOw-c20bkO",
        "outputId": "9439180d-af86-4d57-9aa8-5dcbbec6ddd7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pred = model.predict(test_ds, verbose=1)\n",
        "\n",
        "temp = []\n",
        "for i in pred:\n",
        "    ans = np.where(i>0.9)[0]\n",
        "    if ans.shape[0] == 0:\n",
        "        temp.append(str(np.argmax(i)))\n",
        "    else:\n",
        "        temp.append(\" \".join(ans.astype(str)))\n",
        "\n",
        "df_test = pd.read_csv(dpath+\"sample_submission.csv\")\n",
        "df_test.Target = temp\n",
        "\n",
        "df_test.to_csv(\"./submission.csv\", index=False)"
      ],
      "metadata": {
        "id": "CCELAWpfUbot",
        "outputId": "670d08c0-b3fe-42e2-f4b9-e5ba80dc8e59",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "47/47 [==============================] - 3s 59ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "submission = pd.read_csv(\"/content/\"+\"submission.csv\")\n",
        "submission.head()"
      ],
      "metadata": {
        "id": "iFmthuuBYjnS",
        "outputId": "9d602d41-6cea-4e08-8f49-3de9580f05f9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      SOPInstanceUID Target\n",
              "0  1.2.826.0.1.3680043.8.498.10001001190452685542...   9 21\n",
              "1  1.2.826.0.1.3680043.8.498.10022667601042710442...      3\n",
              "2  1.2.826.0.1.3680043.8.498.10024395388921105474...      9\n",
              "3  1.2.826.0.1.3680043.8.498.10026689165626095651...      3\n",
              "4  1.2.826.0.1.3680043.8.498.10035936364561920980...      3"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-efa79b45-6588-4641-8be7-fad2e74857e9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SOPInstanceUID</th>\n",
              "      <th>Target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10001001190452685542...</td>\n",
              "      <td>9 21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10022667601042710442...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10024395388921105474...</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10026689165626095651...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.2.826.0.1.3680043.8.498.10035936364561920980...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-efa79b45-6588-4641-8be7-fad2e74857e9')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-efa79b45-6588-4641-8be7-fad2e74857e9 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-efa79b45-6588-4641-8be7-fad2e74857e9');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12, 12))\n",
        "for i in range(9):\n",
        "    # image\n",
        "    ax = plt.subplot(3, 3, i+1)\n",
        "    filename = df_test.iloc[i].SOPInstanceUID\n",
        "    img = imread(filename)\n",
        "    plt.imshow(img, cmap='gray')\n",
        "    plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "VCprzxVcZ0IR",
        "outputId": "f5fa6b21-86bc-4c36-cd6f-9a28ea711804",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-75-7ca34e21a090>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\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[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_test\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSOPInstanceUID\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m     \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\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      7\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"off\"\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/python3.7/dist-packages/skimage/io/_io.py\u001b[0m in \u001b[0;36mimread\u001b[0;34m(fname, as_gray, plugin, **plugin_args)\u001b[0m\n\u001b[1;32m     46\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     47\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mfile_or_url_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfname\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 48\u001b[0;31m         \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcall_plugin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'imread'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplugin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplugin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mplugin_args\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     49\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'ndim'\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/python3.7/dist-packages/skimage/io/manage_plugins.py\u001b[0m in \u001b[0;36mcall_plugin\u001b[0;34m(kind, *args, **kwargs)\u001b[0m\n\u001b[1;32m    205\u001b[0m                                (plugin, kind))\n\u001b[1;32m    206\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 207\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\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[0mkwargs\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    208\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    209\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/skimage/io/_plugins/imageio_plugin.py\u001b[0m in \u001b[0;36mimread\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimageio_imread\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mimread\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[0mkwargs\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---> 10\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimageio_imread\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[0mkwargs\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[0;32m/usr/local/lib/python3.7/dist-packages/imageio/core/functions.py\u001b[0m in \u001b[0;36mimread\u001b[0;34m(uri, format, **kwargs)\u001b[0m\n\u001b[1;32m    219\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m     \u001b[0;31m# Get reader and read first\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 221\u001b[0;31m     \u001b[0mreader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"i\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\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    222\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\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/python3.7/dist-packages/imageio/core/functions.py\u001b[0m in \u001b[0;36mget_reader\u001b[0;34m(uri, format, mode, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;31m# Create request object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     \u001b[0mrequest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mRequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"r\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\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    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m     \u001b[0;31m# Get format\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/python3.7/dist-packages/imageio/core/request.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, uri, mode, **kwargs)\u001b[0m\n\u001b[1;32m    123\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    124\u001b[0m         \u001b[0;31m# Parse what was given\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 125\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parse_uri\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\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    126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m         \u001b[0;31m# Set extension\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/python3.7/dist-packages/imageio/core/request.py\u001b[0m in \u001b[0;36m_parse_uri\u001b[0;34m(self, uri)\u001b[0m\n\u001b[1;32m    271\u001b[0m                 \u001b[0;31m# Reading: check that the file exists (but is allowed a dir)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    272\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\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[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 273\u001b[0;31m                     \u001b[0;32mraise\u001b[0m \u001b[0mFileNotFoundError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"No such file: '%s'\"\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    274\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    275\u001b[0m                 \u001b[0;31m# Writing: check that the directory to write to does exist\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: No such file: '/content/1.2.826.0.1.3680043.8.498.10001001190452685542754353271306894106'"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x864 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "EoAnH_3Is-kE"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [],
      "name": "vgg16.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "gpuClass": "standard"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}