Data_Preperation.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/BurgundyIsAPublicEnemy/EPIDEMIUM-Season-3/blob/main/Data_Preperation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data Preperation \n",
        "Usage: Set the variables below to the right place. Then hit run\n",
        "\n",
        "Contributions: Nicolas Hegerle of JEDHA for coming up with a really elegant way of doing this\n",
        "\n",
        "Pleae keep in mind this should run on your GPU"
      ],
      "metadata": {
        "id": "1CliuFqJ-gxL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install colab-env --upgrade"
      ],
      "metadata": {
        "id": "vEoGvKt0Q5pF",
        "outputId": "a061b34b-eaf1-4b98-cc11-c0f12d9d5c22",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting colab-env\n",
            "  Downloading colab-env-0.2.0.tar.gz (4.7 kB)\n",
            "Collecting python-dotenv<1.0,>=0.10.0\n",
            "  Downloading python_dotenv-0.19.2-py2.py3-none-any.whl (17 kB)\n",
            "Building wheels for collected packages: colab-env\n",
            "  Building wheel for colab-env (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for colab-env: filename=colab_env-0.2.0-py3-none-any.whl size=3838 sha256=4bb6be6c49ccef6befa872af1492f511cd961f918837e6676bb1de57c8da9f1b\n",
            "  Stored in directory: /root/.cache/pip/wheels/bb/ca/e8/3d25b6abb4ac719ecb9e837bb75f2a9b980430005fb12a9107\n",
            "Successfully built colab-env\n",
            "Installing collected packages: python-dotenv, colab-env\n",
            "Successfully installed colab-env-0.2.0 python-dotenv-0.19.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import colab_env\n",
        "\n",
        "colab_env.__version__"
      ],
      "metadata": {
        "id": "r62biTj0Q8LM",
        "outputId": "0c0a76b3-906d-4a35-9dea-bc7f2c79a7f2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        }
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'0.2.0'"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "xk3FBnR82M41",
        "outputId": "d1f7a44c-563d-4859-a794-191d92bf2860",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!more /content/drive/MyDrive/vars.env"
      ],
      "metadata": {
        "id": "tkmYRmEzVxZ3",
        "outputId": "ee1db16a-8326-41fa-f8c4-1fee9d9b797f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "IMAGEFILES = '/content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2'\n",
            "TABULARTRAINING = '/content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_\n",
            "v2/avatarsV2_train.csv'\n",
            "TABULARTEST = '/content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/a\n",
            "vatarsV2_test_X.csv'\n",
            "FULLSTACKTRAIN = '/content/drive/MyDrive/Epidemium Season 3/ORLIAn /datasets/all\n",
            "_layers_active_png/results'\n",
            "TRAIN_AUGMENTED_PATH = '/content/drive/MyDrive/Kaggle/ORLIA/Train/'\n",
            "TEST_AUGMENTED_PATH = '/content/drive/MyDrive/Kaggle/ORLIA/Test/'\n",
            "METADATA_PATH = '/content/drive/MyDrive/Kaggle/ORLIA'\n",
            "TENPERCENT_MODEL_PATH = '/content/drive/MyDrive/Kaggle/ModelDump/tenpercent_resn\n",
            "et18.ckpt'\n",
            "IMG_TO_ANALYZE = '/content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v\n",
            "2/Cellule inflamatoire 2/a4ad44_[12800,52067]_composite_image.jpg'\n",
            "FOLDER_TO_OUTPUT = './'\n",
            "OUTPUT_MODEL_PATH = '/content/drive/MyDrive/Kaggle/ModelDump/'\n",
            "WORKSPACE_PATH = '/content/drive/MyDrive/Kaggle/ORLIA'\n",
            "MODEL_PATH = '/content/drive/MyDrive/Kaggle/ModelDump/fold_0.pth'\n",
            "patience = 1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "IMAGEFILES = os.getenv(\"IMAGEFILES\")\n",
        "TABULARTRAINING = os.getenv(\"TABULARTRAINING\")\n",
        "TABULARTEST = os.getenv(\"TABULARTEST\")\n",
        "\n",
        "FULLSTACKTRAIN = os.getenv(\"FULLSTACKTRAIN\")\n",
        "\n",
        "TRAIN_AUGMENTED_PATH = os.getenv(\"TRAIN_AUGMENTED_PATH\")\n",
        "TEST_AUGMENTED_PATH = os.getenv(\"TEST_AUGMENTED_PATH\")\n",
        "\n",
        "METADATA_PATH = os.getenv(\"METADATA_PATH\")"
      ],
      "metadata": {
        "id": "wdcelKCeRqla"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(METADATA_PATH)"
      ],
      "metadata": {
        "id": "9bfW6HjYR4Gu",
        "outputId": "6d09a909-e646-4bee-d440-40ab19bb7bff",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/Kaggle/ORLIA\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "cXh02UPlDitJ"
      },
      "outputs": [],
      "source": [
        "# IMPORT ML MODEL RELATED THINGS\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import os, cv2, shutil\n",
        "\n",
        "from keras.applications.resnet import ResNet50, preprocess_input\n",
        "from tensorflow.keras.preprocessing import image"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install spams"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0zIE6ln1weib",
        "outputId": "f8f09658-217e-472d-e89c-e33f2cbae7ae"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting spams\n",
            "  Downloading spams-2.6.2.5.tar.gz (1.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.6 MB 4.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: Cython>=0.29 in /usr/local/lib/python3.7/dist-packages (from spams) (0.29.26)\n",
            "Requirement already satisfied: numpy>=1.12 in /usr/local/lib/python3.7/dist-packages (from spams) (1.19.5)\n",
            "Requirement already satisfied: Pillow>=6.0 in /usr/local/lib/python3.7/dist-packages (from spams) (7.1.2)\n",
            "Requirement already satisfied: scipy>=1.0 in /usr/local/lib/python3.7/dist-packages (from spams) (1.4.1)\n",
            "Requirement already satisfied: six>=1.12 in /usr/local/lib/python3.7/dist-packages (from spams) (1.15.0)\n",
            "Building wheels for collected packages: spams\n",
            "  Building wheel for spams (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for spams: filename=spams-2.6.2.5-cp37-cp37m-linux_x86_64.whl size=4516387 sha256=4632a10edf013a55b8a59791581cd59a16d8c96dc4e4e091449513b6e6bd02fa\n",
            "  Stored in directory: /root/.cache/pip/wheels/91/49/fe/de10cfc13193b9c7780edc871736c844f4a2c5151490e4c97f\n",
            "Successfully built spams\n",
            "Installing collected packages: spams\n",
            "Successfully installed spams-2.6.2.5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Set up normalizations (unused in the final model but go nuts if you like it)\n",
        "Repo: https://github.com/wanghao14/Stain_Normalization"
      ],
      "metadata": {
        "id": "n27zZ3y2r5N1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Uses the spams package:\n",
        "http://spams-devel.gforge.inria.fr/index.html\n",
        "Use with python via e.g https://anaconda.org/conda-forge/python-spams\n",
        "\"\"\"\n",
        "\n",
        "from __future__ import division\n",
        "\n",
        "import numpy as np\n",
        "import cv2 as cv\n",
        "import spams\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "##########################################\n",
        "\n",
        "def read_image(path):\n",
        "    \"\"\"\n",
        "    Read an image to RGB uint8\n",
        "    :param path:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    im = cv.imread(path)\n",
        "    im = cv.cvtColor(im, cv.COLOR_BGR2RGB)\n",
        "    return im\n",
        "\n",
        "\n",
        "def show_colors(C):\n",
        "    \"\"\"\n",
        "    Shows rows of C as colors (RGB)\n",
        "    :param C:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    n = C.shape[0]\n",
        "    for i in range(n):\n",
        "        if C[i].max() > 1.0:\n",
        "            plt.plot([0, 1], [n - 1 - i, n - 1 - i], c=C[i] / 255, linewidth=20)\n",
        "        else:\n",
        "            plt.plot([0, 1], [n - 1 - i, n - 1 - i], c=C[i], linewidth=20)\n",
        "        plt.axis('off')\n",
        "        plt.axis([0, 1, -1, n])\n",
        "\n",
        "\n",
        "def show(image, now=True, fig_size=(10, 10)):\n",
        "    \"\"\"\n",
        "    Show an image (np.array).\n",
        "    Caution! Rescales image to be in range [0,1].\n",
        "    :param image:\n",
        "    :param now:\n",
        "    :param fig_size:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    image = image.astype(np.float32)\n",
        "    m, M = image.min(), image.max()\n",
        "    if fig_size != None:\n",
        "        plt.rcParams['figure.figsize'] = (fig_size[0], fig_size[1])\n",
        "    plt.imshow((image - m) / (M - m), cmap='gray')\n",
        "    plt.axis('off')\n",
        "    if now == True:\n",
        "        plt.show()\n",
        "\n",
        "\n",
        "def build_stack(tup):\n",
        "    \"\"\"\n",
        "    Build a stack of images from a tuple of images\n",
        "    :param tup:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    N = len(tup)\n",
        "    if len(tup[0].shape) == 3:\n",
        "        h, w, c = tup[0].shape\n",
        "        stack = np.zeros((N, h, w, c))\n",
        "    if len(tup[0].shape) == 2:\n",
        "        h, w = tup[0].shape\n",
        "        stack = np.zeros((N, h, w))\n",
        "    for i in range(N):\n",
        "        stack[i] = tup[i]\n",
        "    return stack\n",
        "\n",
        "\n",
        "def patch_grid(ims, width=5, sub_sample=None, rand=False, save_name=None):\n",
        "    \"\"\"\n",
        "    Display a grid of patches\n",
        "    :param ims:\n",
        "    :param width:\n",
        "    :param sub_sample:\n",
        "    :param rand:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    N0 = np.shape(ims)[0]\n",
        "    if sub_sample == None:\n",
        "        N = N0\n",
        "        stack = ims\n",
        "    elif sub_sample != None and rand == False:\n",
        "        N = sub_sample\n",
        "        stack = ims[:N]\n",
        "    elif sub_sample != None and rand == True:\n",
        "        N = sub_sample\n",
        "        idx = np.random.choice(range(N), sub_sample, replace=False)\n",
        "        stack = ims[idx]\n",
        "    height = np.ceil(float(N) / width).astype(np.uint16)\n",
        "    plt.rcParams['figure.figsize'] = (18, (18 / width) * height)\n",
        "    plt.figure()\n",
        "    for i in range(N):\n",
        "        plt.subplot(height, width, i + 1)\n",
        "        im = stack[i]\n",
        "        show(im, now=False, fig_size=None)\n",
        "    if save_name != None:\n",
        "        plt.savefig(save_name)\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "######################################\n",
        "\n",
        "def standardize_brightness(I):\n",
        "    \"\"\"\n",
        "    :param I:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    p = np.percentile(I, 90)\n",
        "    return np.clip(I * 255.0 / p, 0, 255).astype(np.uint8)\n",
        "\n",
        "\n",
        "def remove_zeros(I):\n",
        "    \"\"\"\n",
        "    Remove zeros, replace with 1's.\n",
        "    :param I: uint8 array\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    mask = (I == 0)\n",
        "    I[mask] = 1\n",
        "    return I\n",
        "\n",
        "\n",
        "def RGB_to_OD(I):\n",
        "    \"\"\"\n",
        "    Convert from RGB to optical density\n",
        "    :param I:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    I = remove_zeros(I)\n",
        "    return -1 * np.log(I / 255)\n",
        "\n",
        "\n",
        "def OD_to_RGB(OD):\n",
        "    \"\"\"\n",
        "    Convert from optical density to RGB\n",
        "    :param OD:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    return (255 * np.exp(-1 * OD)).astype(np.uint8)\n",
        "\n",
        "\n",
        "def normalize_rows(A):\n",
        "    \"\"\"\n",
        "    Normalize rows of an array\n",
        "    :param A:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    return A / np.linalg.norm(A, axis=1)[:, None]\n",
        "\n",
        "\n",
        "def notwhite_mask(I, thresh=0.8):\n",
        "    \"\"\"\n",
        "    Get a binary mask where true denotes 'not white'\n",
        "    :param I:\n",
        "    :param thresh:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    I_LAB = cv.cvtColor(I, cv.COLOR_RGB2LAB)\n",
        "    L = I_LAB[:, :, 0] / 255.0\n",
        "    return (L < thresh)\n",
        "\n",
        "\n",
        "def sign(x):\n",
        "    \"\"\"\n",
        "    Returns the sign of x\n",
        "    :param x:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    if x > 0:\n",
        "        return +1\n",
        "    elif x < 0:\n",
        "        return -1\n",
        "    elif x == 0:\n",
        "        return 0\n",
        "\n",
        "\n",
        "def get_concentrations(I, stain_matrix, lamda=0.01):\n",
        "    \"\"\"\n",
        "    Get concentrations, a npix x 2 matrix\n",
        "    :param I:\n",
        "    :param stain_matrix: a 2x3 stain matrix\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    OD = RGB_to_OD(I).reshape((-1, 3))\n",
        "    return spams.lasso(OD.T, D=stain_matrix.T, mode=2, lambda1=lamda, pos=True).toarray().T"
      ],
      "metadata": {
        "id": "jiR-SA7CwbMS"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Stain normalization based on the method of:\n",
        "M. Macenko et al., ‘A method for normalizing histology slides for quantitative analysis’, in 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009, pp. 1107–1110.\n",
        "Uses the spams package:\n",
        "http://spams-devel.gforge.inria.fr/index.html\n",
        "Use with python via e.g https://anaconda.org/conda-forge/python-spams\n",
        "\"\"\"\n",
        "\n",
        "from __future__ import division\n",
        "\n",
        "import numpy as np\n",
        "\n",
        "\n",
        "def get_stain_matrix(I, beta=0.15, alpha=1):\n",
        "    \"\"\"\n",
        "    Get stain matrix (2x3)\n",
        "    :param I:\n",
        "    :param beta:\n",
        "    :param alpha:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    OD = RGB_to_OD(I).reshape((-1, 3))\n",
        "    OD = (OD[(OD > beta).any(axis=1), :])\n",
        "    _, V = np.linalg.eigh(np.cov(OD, rowvar=False))\n",
        "    V = V[:, [2, 1]]\n",
        "    if V[0, 0] < 0: V[:, 0] *= -1\n",
        "    if V[0, 1] < 0: V[:, 1] *= -1\n",
        "    That = np.dot(OD, V)\n",
        "    phi = np.arctan2(That[:, 1], That[:, 0])\n",
        "    minPhi = np.percentile(phi, alpha)\n",
        "    maxPhi = np.percentile(phi, 100 - alpha)\n",
        "    v1 = np.dot(V, np.array([np.cos(minPhi), np.sin(minPhi)]))\n",
        "    v2 = np.dot(V, np.array([np.cos(maxPhi), np.sin(maxPhi)]))\n",
        "    if v1[0] > v2[0]:\n",
        "        HE = np.array([v1, v2])\n",
        "    else:\n",
        "        HE = np.array([v2, v1])\n",
        "    return normalize_rows(HE)\n",
        "\n",
        "\n",
        "###\n",
        "\n",
        "class Macenko_Normalizer(object):\n",
        "    \"\"\"\n",
        "    A stain normalization object\n",
        "    \"\"\"\n",
        "\n",
        "    def __init__(self):\n",
        "        self.stain_matrix_target = None\n",
        "        self.target_concentrations = None\n",
        "\n",
        "    def fit(self, target):\n",
        "        target = standardize_brightness(target)\n",
        "        self.stain_matrix_target = get_stain_matrix(target)\n",
        "        self.target_concentrations = get_concentrations(target, self.stain_matrix_target)\n",
        "\n",
        "    def target_stains(self):\n",
        "        return OD_to_RGB(self.stain_matrix_target)\n",
        "\n",
        "    def transform(self, I):\n",
        "        I = standardize_brightness(I)\n",
        "        stain_matrix_source = get_stain_matrix(I)\n",
        "        source_concentrations = get_concentrations(I, stain_matrix_source)\n",
        "        maxC_source = np.percentile(source_concentrations, 99, axis=0).reshape((1, 2))\n",
        "        maxC_target = np.percentile(self.target_concentrations, 99, axis=0).reshape((1, 2))\n",
        "        source_concentrations *= (maxC_target / maxC_source)\n",
        "        return (255 * np.exp(-1 * np.dot(source_concentrations, self.stain_matrix_target).reshape(I.shape))).astype(\n",
        "            np.uint8)\n",
        "\n",
        "    def hematoxylin(self, I):\n",
        "        I = standardize_brightness(I)\n",
        "        h, w, c = I.shape\n",
        "        stain_matrix_source = get_stain_matrix(I)\n",
        "        source_concentrations = get_concentrations(I, stain_matrix_source)\n",
        "        H = source_concentrations[:, 0].reshape(h, w)\n",
        "        H = np.exp(-1 * H)\n",
        "        return H"
      ],
      "metadata": {
        "id": "4IBFiThNr7s2"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Normalize a patch stain to the target image using the method of:\n",
        "E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley, ‘Color transfer between images’, IEEE Computer Graphics and Applications, vol. 21, no. 5, pp. 34–41, Sep. 2001.\n",
        "\"\"\"\n",
        "\n",
        "from __future__ import division\n",
        "\n",
        "import cv2 as cv\n",
        "import numpy as np\n",
        "\n",
        "### Some functions ###\n",
        "\n",
        "\n",
        "def lab_split(I):\n",
        "    \"\"\"\n",
        "    Convert from RGB uint8 to LAB and split into channels\n",
        "    :param I: uint8\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    I = cv.cvtColor(I, cv.COLOR_RGB2LAB)\n",
        "    I = I.astype(np.float32)\n",
        "    I1, I2, I3 = cv.split(I)\n",
        "    I1 /= 2.55\n",
        "    I2 -= 128.0\n",
        "    I3 -= 128.0\n",
        "    return I1, I2, I3\n",
        "\n",
        "\n",
        "def merge_back(I1, I2, I3):\n",
        "    \"\"\"\n",
        "    Take seperate LAB channels and merge back to give RGB uint8\n",
        "    :param I1:\n",
        "    :param I2:\n",
        "    :param I3:\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    I1 *= 2.55\n",
        "    I2 += 128.0\n",
        "    I3 += 128.0\n",
        "    I = np.clip(cv.merge((I1, I2, I3)), 0, 255).astype(np.uint8)\n",
        "    return cv.cvtColor(I, cv.COLOR_LAB2RGB)\n",
        "\n",
        "\n",
        "def get_mean_std(I):\n",
        "    \"\"\"\n",
        "    Get mean and standard deviation of each channel\n",
        "    :param I: uint8\n",
        "    :return:\n",
        "    \"\"\"\n",
        "    I1, I2, I3 = lab_split(I)\n",
        "    m1, sd1 = cv.meanStdDev(I1)\n",
        "    m2, sd2 = cv.meanStdDev(I2)\n",
        "    m3, sd3 = cv.meanStdDev(I3)\n",
        "    means = m1, m2, m3\n",
        "    stds = sd1, sd2, sd3\n",
        "    return means, stds\n",
        "\n",
        "\n",
        "### Main class ###\n",
        "\n",
        "class Reinhard_Normalizer(object):\n",
        "    \"\"\"\n",
        "    A stain normalization object\n",
        "    \"\"\"\n",
        "\n",
        "    def __init__(self):\n",
        "        self.target_means = None\n",
        "        self.target_stds = None\n",
        "\n",
        "    def fit(self, target):\n",
        "        target = standardize_brightness(target)\n",
        "        means, stds = get_mean_std(target)\n",
        "        self.target_means = means\n",
        "        self.target_stds = stds\n",
        "\n",
        "    def transform(self, I):\n",
        "        I = standardize_brightness(I)\n",
        "        I1, I2, I3 = lab_split(I)\n",
        "        means, stds = get_mean_std(I)\n",
        "        norm1 = ((I1 - means[0]) * (self.target_stds[0] / stds[0])) + self.target_means[0]\n",
        "        norm2 = ((I2 - means[1]) * (self.target_stds[1] / stds[1])) + self.target_means[1]\n",
        "        norm3 = ((I3 - means[2]) * (self.target_stds[2] / stds[2])) + self.target_means[2]\n",
        "        return merge_back(norm1, norm2, norm3)"
      ],
      "metadata": {
        "id": "TO6CIii7vtb3"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "3fOv-Nq7tkH6"
      },
      "outputs": [],
      "source": [
        "# Destroy folders we need\n",
        "def emptyFolder(path):\n",
        "  folder = path\n",
        "  if os.path.exists(path):\n",
        "    for filename in os.listdir(folder):\n",
        "        file_path = os.path.join(folder, filename)\n",
        "        try:\n",
        "            if os.path.isfile(file_path) or os.path.islink(file_path):\n",
        "                os.unlink(file_path)\n",
        "            elif os.path.isdir(file_path):\n",
        "                shutil.rmtree(file_path)\n",
        "        except Exception as e:\n",
        "            print('Failed to delete %s. Reason: %s' % (file_path, e))\n",
        "\n",
        "  if not os.path.exists(path):\n",
        "    os.makedirs(path)\n",
        "\n",
        "emptyFolder(METADATA_PATH)\n",
        "emptyFolder(TRAIN_AUGMENTED_PATH)\n",
        "emptyFolder(TEST_AUGMENTED_PATH)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "id": "Lxaw-BXuDwxn",
        "outputId": "e214d19e-a4d8-4614-e896-143769c26c91"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e8f1466d-0dae-4469-b5ff-e73d8d636d73\">\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>id</th>\n",
              "      <th>OMS</th>\n",
              "      <th>sexe (0=F 1=M)</th>\n",
              "      <th>DDN</th>\n",
              "      <th>Date biopsie</th>\n",
              "      <th>Age au diag</th>\n",
              "      <th>Deces Code</th>\n",
              "      <th>Code recidive</th>\n",
              "      <th>localisation</th>\n",
              "      <th>RNAscope</th>\n",
              "      <th>T</th>\n",
              "      <th>N</th>\n",
              "      <th>M</th>\n",
              "      <th>Tabac</th>\n",
              "      <th>Alcool</th>\n",
              "      <th>Data</th>\n",
              "      <th>OS</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>abf1b4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1954-06-17</td>\n",
              "      <td>2013-08-10</td>\n",
              "      <td>59</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2b</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>a5969b</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1937-02-09</td>\n",
              "      <td>2014-09-06</td>\n",
              "      <td>77</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2c</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>aa21da</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1968-04-09</td>\n",
              "      <td>2013-03-12</td>\n",
              "      <td>44</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>b075a7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1947-02-10</td>\n",
              "      <td>2014-11-08</td>\n",
              "      <td>67</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2c</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>b2e232</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1942-08-03</td>\n",
              "      <td>2014-04-23</td>\n",
              "      <td>71</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2b</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e8f1466d-0dae-4469-b5ff-e73d8d636d73')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display: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-e8f1466d-0dae-4469-b5ff-e73d8d636d73 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-e8f1466d-0dae-4469-b5ff-e73d8d636d73');\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",
              "  "
            ],
            "text/plain": [
              "       id  OMS  sexe (0=F 1=M)         DDN  ... Tabac  Alcool              Data  OS\n",
              "0  abf1b4    1               1  1954-06-17  ...     3       1  Image + clinical  84\n",
              "1  a5969b    1               1  1937-02-09  ...     2       1  Image + clinical  24\n",
              "2  aa21da    1               1  1968-04-09  ...     3       1  Image + clinical  47\n",
              "3  b075a7    1               1  1947-02-10  ...     2       1  Image + clinical   9\n",
              "4  b2e232    1               1  1942-08-03  ...     2       0  Image + clinical  37\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "train_df = pd.read_csv(TABULARTRAINING)\n",
        "train_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rsehceon2edq",
        "outputId": "78c79276-ceb2-45f4-9b42-921502fd595c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['2b', '2c', '3', '1', '2', '2a'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "train_df['N'].unique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 250
        },
        "id": "pWa4sTi_EdKa",
        "outputId": "30df1708-54cc-40bb-de76-48777e817a28"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "  <div id=\"df-1d7e3e59-8272-41e8-8a62-adac49f2169f\">\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>id</th>\n",
              "      <th>OMS</th>\n",
              "      <th>sexe (0=F 1=M)</th>\n",
              "      <th>DDN</th>\n",
              "      <th>Date biopsie</th>\n",
              "      <th>Age au diag</th>\n",
              "      <th>Deces Code</th>\n",
              "      <th>Code recidive</th>\n",
              "      <th>localisation</th>\n",
              "      <th>RNAscope</th>\n",
              "      <th>T</th>\n",
              "      <th>N</th>\n",
              "      <th>M</th>\n",
              "      <th>Tabac</th>\n",
              "      <th>Alcool</th>\n",
              "      <th>Data</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ae0d22</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1957-05-26</td>\n",
              "      <td>2011-12-05</td>\n",
              "      <td>54</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2c</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ac3e32</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1953-04-16</td>\n",
              "      <td>2015-02-16</td>\n",
              "      <td>61</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ad2573</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1962-09-19</td>\n",
              "      <td>2014-10-07</td>\n",
              "      <td>52</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2b</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>b37b6e</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1938-04-15</td>\n",
              "      <td>2014-12-16</td>\n",
              "      <td>76</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>b631e6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1920-07-21</td>\n",
              "      <td>2013-11-04</td>\n",
              "      <td>93</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Oropharynx</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2b</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1d7e3e59-8272-41e8-8a62-adac49f2169f')\"\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",
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              "\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",
              "    }\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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-1d7e3e59-8272-41e8-8a62-adac49f2169f 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-1d7e3e59-8272-41e8-8a62-adac49f2169f');\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",
              "  "
            ],
            "text/plain": [
              "       id  OMS  sexe (0=F 1=M)         DDN  ...  M  Tabac  Alcool              Data\n",
              "0  ae0d22    3               1  1957-05-26  ...  0      0       1  Image + clinical\n",
              "1  ac3e32    1               1  1953-04-16  ...  0      1       1  Image + clinical\n",
              "2  ad2573    0               1  1962-09-19  ...  0      3       1  Image + clinical\n",
              "3  b37b6e    1               1  1938-04-15  ...  1      2       1  Image + clinical\n",
              "4  b631e6    1               1  1920-07-21  ...  0      0       1  Image + clinical\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "test_df = pd.read_csv(TABULARTEST)\n",
        "test_df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MKn8-Uxty-gx"
      },
      "source": [
        "### Encode and unify the metadata"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "PMPQPjZLzFSC"
      },
      "outputs": [],
      "source": [
        "train_df[\"localisation\"] = train_df[\"localisation\"].astype('category').cat.codes\n",
        "train_df[\"N\"] = train_df[\"N\"].astype('category').cat.codes.head()\n",
        "\n",
        "test_df[\"localisation\"] = test_df[\"localisation\"].astype('category').cat.codes\n",
        "test_df[\"N\"] = test_df[\"N\"].astype('category').cat.codes.head()\n",
        "\n",
        "# Dates into time since current epoch\n",
        "train_df['DDN'] = round((pd.Timestamp.now() - pd.to_datetime(train_df['DDN'], format=\"%Y-%m-%d\")).astype(\"int64\") / (31556952 * 10**9))\n",
        "train_df['Date biopsie'] = round((pd.Timestamp.now() - pd.to_datetime(train_df['Date biopsie'], format=\"%Y-%m-%d\")).astype(\"int64\") / (31556952 * 10**9))\n",
        "\n",
        "test_df['DDN'] = round((pd.Timestamp.now() - pd.to_datetime(test_df['DDN'], format=\"%Y-%m-%d\")).astype(\"int64\") / (31556952 * 10**9))\n",
        "test_df['Date biopsie'] = round((pd.Timestamp.now() - pd.to_datetime(test_df['Date biopsie'], format=\"%Y-%m-%d\")).astype(\"int64\") / (31556952 * 10**9))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 250
        },
        "id": "mqhJdE_drJgM",
        "outputId": "b7e65aea-109b-47a6-deb8-6028619e45fb"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>id</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>abf1b4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>24</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>1</td>\n",
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              "      <td>9.0</td>\n",
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              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>b075a7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>75.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>67</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>b2e232</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>79.0</td>\n",
              "      <td>8.0</td>\n",
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              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>37</td>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-858c2a2c-081c-4378-83b5-6d90d647f9a9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\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",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-858c2a2c-081c-4378-83b5-6d90d647f9a9 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-858c2a2c-081c-4378-83b5-6d90d647f9a9');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       id  OMS  sexe (0=F 1=M)   DDN  ...  Tabac  Alcool              Data  OS\n",
              "0  abf1b4    1               1  68.0  ...      3       1  Image + clinical  84\n",
              "1  a5969b    1               1  85.0  ...      2       1  Image + clinical  24\n",
              "2  aa21da    1               1  54.0  ...      3       1  Image + clinical  47\n",
              "3  b075a7    1               1  75.0  ...      2       1  Image + clinical   9\n",
              "4  b2e232    1               1  79.0  ...      2       0  Image + clinical  37\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "train_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df['N'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BB2IoC28RGN5",
        "outputId": "41a63ceb-7041-4748-f7e4-e788ac82141c"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 3.,  4.,  5., nan])"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "nD2YLopyrKaZ",
        "outputId": "0e985690-c3a7-4abb-8bb3-4fa66284728f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-379b9347-c895-47b6-a234-1b56b3b6b7d9\">\n",
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              "        vertical-align: middle;\n",
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              "      <th>id</th>\n",
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              "      <th>Age au diag</th>\n",
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              "      <th>Code recidive</th>\n",
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              "      <th>RNAscope</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
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              "      <td>3</td>\n",
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              "    <tr>\n",
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              "      <td>61</td>\n",
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              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ad2573</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <th>3</th>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>84.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>76</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>b631e6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>101.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>93</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-379b9347-c895-47b6-a234-1b56b3b6b7d9')\"\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-379b9347-c895-47b6-a234-1b56b3b6b7d9 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-379b9347-c895-47b6-a234-1b56b3b6b7d9');\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",
              "  "
            ],
            "text/plain": [
              "       id  OMS  sexe (0=F 1=M)    DDN  ...  M  Tabac  Alcool              Data\n",
              "0  ae0d22    3               1   65.0  ...  0      0       1  Image + clinical\n",
              "1  ac3e32    1               1   69.0  ...  0      1       1  Image + clinical\n",
              "2  ad2573    0               1   59.0  ...  0      3       1  Image + clinical\n",
              "3  b37b6e    1               1   84.0  ...  1      2       1  Image + clinical\n",
              "4  b631e6    1               1  101.0  ...  0      0       1  Image + clinical\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "test_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "path = \"/content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellule inflamatoire 2/a4fa68_[14458,48150]_composite_image.jpg\"\n",
        "\n",
        "target_img = cv2.imread(path) "
      ],
      "metadata": {
        "id": "xytNfyKfJgeH"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lz-naoZYNmjl"
      },
      "source": [
        "# Code Section for Images compiled from .JPGs in folders"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "id": "oz1Z2LbzNxYS",
        "outputId": "eb089283-88a6-433e-b150-63274e61edfc"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f1ed7c49d90>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1584x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Demo function for augmentation\n",
        "\n",
        "# Get colors isolated\n",
        "reinhard_normalizer = Reinhard_Normalizer()\n",
        "reinhard_normalizer.fit(target_img)\n",
        "reinhard = reinhard_normalizer.transform(target_img)\n",
        "\n",
        "macenko_normalizer = Macenko_Normalizer()\n",
        "macenko_normalizer.fit(target_img)\n",
        "macenko = macenko_normalizer.transform(target_img)\n",
        "\n",
        "image = cv2.cvtColor(target_img, cv2.COLOR_BGR2RGB)\n",
        "\n",
        "fig, ax = plt.subplots(1, 3, figsize =(22, 5))\n",
        "fig.suptitle('Normalization of the images with different methods', fontsize = 16)\n",
        "ax[0].set_title('Original image')\n",
        "ax[1].set_title('Reinhard Normalization')\n",
        "ax[2].set_title('Macenko Normalizaiton')\n",
        "\n",
        "ax[0].imshow(image)\n",
        "ax[1].imshow(reinhard)\n",
        "ax[2].imshow(macenko)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "aCNKRNQkWoEg"
      },
      "outputs": [],
      "source": [
        "def MetaDataWriter(tabular, id, usage, fn, nfn, dir, layer, filetype):\n",
        "  new_row = {'id': id , 'usage': usage, 'image_file': fn, 'image_rename': nfn, \"current_directory\": dir, \"layer\": layer, 'img_type': filetype}\n",
        "  tabular = tabular.append(new_row, ignore_index=True)\n",
        "\n",
        "  return tabular"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yQIOMyZ8UCKC"
      },
      "source": [
        "## Load Images in the right place"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "PRum5Sw9dpjw"
      },
      "outputs": [],
      "source": [
        "# Initalize variables so we can do this smoothly\n",
        "\n",
        "unique_train_ids = train_df['id'].unique()\n",
        "unique_test_ids = test_df['id'].unique()\n",
        "\n",
        "train_img_data = pd.DataFrame(columns = ['id', 'usage', 'image_file', 'image_rename', 'current_directory', 'layer', 'img_type'])\n",
        "test_img_data = pd.DataFrame(columns = ['id', 'usage', 'image_file', 'image_rename', 'current_directory', 'layer', 'img_type'])\n",
        "\n",
        "#img_formats = [\"raw\", \"reinhard\", \"macenko\"]\n",
        "img_formats = [\"raw\"]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "paOY41LQd0wb"
      },
      "source": [
        "### For training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "UKVB_4iBOhVg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f771e2a8-5400-4877-932c-4bd7659dc2d1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "File found in a wrong place? Stop looking\n"
          ]
        }
      ],
      "source": [
        "try:\n",
        "  for dirname, _, filenames in os.walk(IMAGEFILES + ''):\n",
        "      \n",
        "      layers_folders = [i for i in os.listdir(dirname) if not i.endswith('.csv')] \n",
        "      \n",
        "      for layer in layers_folders:\n",
        "        if layer != \"segmentation_tissue\":\n",
        "            img_files = [i for i in os.listdir(dirname + \"/\" + layer) if not i.endswith('.csv')] \n",
        "\n",
        "            for img_file in img_files:\n",
        "                pid = img_file.split('_')[0]\n",
        "\n",
        "                if pid in unique_train_ids:\n",
        "                  old_image_path = IMAGEFILES + \"/\" + layer + \"/\" + img_file\n",
        "                  tmp_img = cv2.imread(old_image_path) \n",
        "\n",
        "                  new_image_path = TRAIN_AUGMENTED_PATH + \"/raw_\" + layer + \"_\" + img_file                \n",
        "                  \n",
        "                  #stash the original copy somewhere easy\n",
        "                  shutil.copy(old_image_path, new_image_path) \n",
        "\n",
        "                  for img_format in img_formats:\n",
        "                      train_img_data = MetaDataWriter(train_img_data, pid, \"train\", img_file, img_format + \"_\" + layer + \"_\" + img_file, TRAIN_AUGMENTED_PATH, layer, img_format)\n",
        "\n",
        "        elif layer == 'segmentation_tissue':\n",
        "            img_files = [i for i in os.listdir(dirname + \"/\" + layer) if not i.endswith('.csv')] \n",
        "            for img_file in img_files:\n",
        "                pid = img_file.split('_')[0]\n",
        "                if pid in unique_train_ids:\n",
        "                  old_image_path = IMAGEFILES + \"/\" + layer + \"/\" + img_file\n",
        "                  tmp_img = cv2.imread(old_image_path) \n",
        "\n",
        "                  new_image_path = TRAIN_AUGMENTED_PATH + \"/composite_\" + layer + \"_\" + img_file \n",
        "\n",
        "                  #stash the original copy somewhere easy\n",
        "                  shutil.copy(old_image_path, new_image_path)\n",
        "                  \n",
        "                  train_img_data = MetaDataWriter(train_img_data, pid, \"train\", img_file, \"composite_\" + layer + \"_\" + img_file, TRAIN_AUGMENTED_PATH, layer, \"raw\")\n",
        "except:\n",
        "  print(\"File found in a wrong place? Stop looking\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "504hEtxFd4vr"
      },
      "source": [
        "### For validation set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "e3lKNk39eGqq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7a03ab0a-e212-4499-a6a6-71c9926bdccd"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "File found in a wrong place? Stop looking\n"
          ]
        }
      ],
      "source": [
        "try:\n",
        "  for dirname, _, filenames in os.walk(IMAGEFILES + ''):\n",
        "    \n",
        "    layers_folders = [i for i in os.listdir(dirname) if not i.endswith('.csv')] \n",
        "    \n",
        "    for layer in layers_folders:\n",
        "      if layer != \"segmentation_tissue\":\n",
        "          img_files = [i for i in os.listdir(dirname + \"/\" + layer) if not i.endswith('.csv')] \n",
        "\n",
        "          for img_file in img_files:\n",
        "              pid = img_file.split('_')[0]\n",
        "\n",
        "              if pid in unique_test_ids:\n",
        "                old_image_path = IMAGEFILES + \"/\" + layer + \"/\" + img_file\n",
        "\n",
        "                tmp_img = cv2.imread(old_image_path) \n",
        "\n",
        "                new_image_path = TEST_AUGMENTED_PATH + \"/raw_\" + layer + \"_\" + img_file                \n",
        "                \n",
        "                shutil.copy(old_image_path, new_image_path)\n",
        "\n",
        "                for img_format in img_formats:\n",
        "                    test_img_data = MetaDataWriter(test_img_data, pid, \"test\", img_file, img_format + \"_\" + layer + \"_\" + img_file, TEST_AUGMENTED_PATH, layer, img_format)\n",
        "\n",
        "      elif layer == 'segmentation_tissue':\n",
        "          img_files = [i for i in os.listdir(dirname + \"/\" + layer) if not i.endswith('.csv')] \n",
        "          for img_file in img_files:\n",
        "              pid = img_file.split('_')[0]\n",
        "              if pid in unique_test_ids:\n",
        "                old_image_path = IMAGEFILES + \"/\" + layer + \"/\" + img_file\n",
        "                tmp_img = cv2.imread(old_image_path) \n",
        "\n",
        "                new_image_path = TEST_AUGMENTED_PATH + \"/composite_\" + layer + \"_\" + img_file \n",
        "                shutil.copy(old_image_path, new_image_path)\n",
        "                \n",
        "                test_img_data = MetaDataWriter(test_img_data, pid, \"test\", img_file, \"composite_\" + layer + \"_\" + img_file, TEST_AUGMENTED_PATH, layer, \"raw\")\n",
        "except:\n",
        "  print(\"File found in a wrong place? Stop looking\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "trlpw1DtYt3H",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 250
        },
        "outputId": "4852f3a5-1cfc-424d-a591-75121fefaa60"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>usage</th>\n",
              "      <th>image_file</th>\n",
              "      <th>image_rename</th>\n",
              "      <th>current_directory</th>\n",
              "      <th>layer</th>\n",
              "      <th>img_type</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>aa21da</td>\n",
              "      <td>train</td>\n",
              "      <td>aa21da_[12751,39928]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_aa21da_[12751,39928...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>b02926</td>\n",
              "      <td>train</td>\n",
              "      <td>b02926_[12109,48072]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_b02926_[12109,48072...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>af8dca</td>\n",
              "      <td>train</td>\n",
              "      <td>af8dca_[11334,62248]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_af8dca_[11334,62248...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>a89f20</td>\n",
              "      <td>train</td>\n",
              "      <td>a89f20_[12351,48430]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_a89f20_[12351,48430...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>acd8f0</td>\n",
              "      <td>train</td>\n",
              "      <td>acd8f0_[5988,42513]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_acd8f0_[5988,42513]...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
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              "          document.querySelector('#df-a6091005-8dc7-42ed-9aaf-233d3a1f5c1c 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-a6091005-8dc7-42ed-9aaf-233d3a1f5c1c');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       id  usage  ...                   layer img_type\n",
              "0  aa21da  train  ...  Cellule inflamatoire 1      raw\n",
              "1  b02926  train  ...  Cellule inflamatoire 1      raw\n",
              "2  af8dca  train  ...  Cellule inflamatoire 1      raw\n",
              "3  a89f20  train  ...  Cellule inflamatoire 1      raw\n",
              "4  acd8f0  train  ...  Cellule inflamatoire 1      raw\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "train_img_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "ZphbvcRoDQUt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 250
        },
        "outputId": "350f8f64-54d1-4865-caf5-11eef0489428"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-4d3fd8c4-f341-4f98-b42b-880a1f173991\">\n",
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              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>usage</th>\n",
              "      <th>image_file</th>\n",
              "      <th>image_rename</th>\n",
              "      <th>current_directory</th>\n",
              "      <th>layer</th>\n",
              "      <th>img_type</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ad2573</td>\n",
              "      <td>test</td>\n",
              "      <td>ad2573_[13475,49776]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_ad2573_[13475,49776...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Test/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ac3e32</td>\n",
              "      <td>test</td>\n",
              "      <td>ac3e32_[12615,48956]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_ac3e32_[12615,48956...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Test/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>b631e6</td>\n",
              "      <td>test</td>\n",
              "      <td>b631e6_[15887,37878]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_b631e6_[15887,37878...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Test/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>b37b6e</td>\n",
              "      <td>test</td>\n",
              "      <td>b37b6e_[12327,51485]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_b37b6e_[12327,51485...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Test/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ac8a8b</td>\n",
              "      <td>test</td>\n",
              "      <td>ac8a8b_[16004,54038]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_ac8a8b_[16004,54038...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Test/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
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              "  </tbody>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "\n",
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              "      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",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4d3fd8c4-f341-4f98-b42b-880a1f173991 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-4d3fd8c4-f341-4f98-b42b-880a1f173991');\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",
              "  "
            ],
            "text/plain": [
              "       id usage  ...                   layer img_type\n",
              "0  ad2573  test  ...  Cellule inflamatoire 1      raw\n",
              "1  ac3e32  test  ...  Cellule inflamatoire 1      raw\n",
              "2  b631e6  test  ...  Cellule inflamatoire 1      raw\n",
              "3  b37b6e  test  ...  Cellule inflamatoire 1      raw\n",
              "4  ac8a8b  test  ...  Cellule inflamatoire 1      raw\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "test_img_data.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SQ2LUXzwkH73"
      },
      "source": [
        "## Mix the data together "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iEAJewGW1FY7"
      },
      "source": [
        "## OPTIONAL: Build a holdout from train\n",
        "In the event test data is broken"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "4sVozYtRCovn",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cda830b9-12b9-4d30-83c7-e446477e6c42"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "52\n",
            "45\n",
            "7\n"
          ]
        }
      ],
      "source": [
        "import random\n",
        "train_minus_hold_df = train_df\n",
        "if (True):\n",
        "  print(len(train_minus_hold_df))\n",
        "  holdout_index = []\n",
        "  tmp_df = train_minus_hold_df\n",
        "  for i in range(0, 7):\n",
        "    cur = random.randint(0, len(tmp_df.index))\n",
        "    while cur in holdout_index:\n",
        "      cur = random.randint(0, len(tmp_df.index))\n",
        "    holdout_index.append(cur)\n",
        "\n",
        "  holdout_df = pd.DataFrame()\n",
        "\n",
        "  holdout_df = tmp_df.loc[holdout_index]\n",
        "  train_minus_hold_df = tmp_df.drop(tmp_df.index[holdout_index])\n",
        "  holdout_df.head()\n",
        "  print(len(train_minus_hold_df))\n",
        "  print(len(holdout_df))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "6GwXQKeDj60Q"
      },
      "outputs": [],
      "source": [
        "# all training\n",
        "train_img_data_all = train_img_data.merge(train_df, on = 'id')\n",
        "train_img_data_all[\"id_encoding\"] = train_img_data_all[\"id\"].astype('category').cat.codes\n",
        "train_img_data_all[\"image_rename_encoding\"] = train_img_data_all[\"image_rename\"].astype('category').cat.codes\n",
        "\n",
        "train_img_data_all = train_img_data_all.sample(frac=1)\n",
        "train_img_data_all.to_csv(METADATA_PATH + \"/train_img_data.csv\", index=False, header=True)\n",
        "\n",
        "if (True):\n",
        "  #hold out - training\n",
        "  train_img_data_minus_holdout = train_img_data.merge(train_minus_hold_df, on = 'id')\n",
        "  train_img_data_minus_holdout[\"id_encoding\"] = train_img_data_minus_holdout[\"id\"].astype('category').cat.codes\n",
        "  train_img_data_minus_holdout[\"image_rename_encoding\"] = train_img_data_minus_holdout[\"image_rename\"].astype('category').cat.codes\n",
        "  \n",
        "  train_img_data_minus_holdout = train_img_data_minus_holdout.sample(frac=1)\n",
        "\n",
        "  train_img_data_minus_holdout.to_csv(METADATA_PATH + \"/train_minus_hold_img_data.csv\", index=False, header=True)\n",
        "\n",
        "  #hold out\n",
        "  holdout_img_data_all = train_img_data.merge(holdout_df, on = 'id')\n",
        "  holdout_img_data_all[\"id_encoding\"] = holdout_img_data_all[\"id\"].astype('category').cat.codes\n",
        "  holdout_img_data_all[\"image_rename_encoding\"] = holdout_img_data_all[\"image_rename\"].astype('category').cat.codes\n",
        "  \n",
        "  holdout_img_data_all = holdout_img_data_all.sample(frac=1)\n",
        "\n",
        "  holdout_img_data_all.to_csv(METADATA_PATH + \"/holdout_img_data.csv\", index=False, header=True)\n",
        "\n",
        "#all testing\n",
        "test_img_data_all = test_img_data.merge(test_df, on = 'id')\n",
        "test_img_data_all[\"id_encoding\"] = test_img_data_all[\"id\"].astype('category').cat.codes\n",
        "test_img_data_all[\"image_rename_encoding\"] = test_img_data_all[\"image_rename\"].astype('category').cat.codes\n",
        "test_img_data_all = test_img_data_all.sample(frac=1)\n",
        "\n",
        "test_img_data_all.to_csv(METADATA_PATH + \"/test_img_data.csv\", index=False, header=True)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Sanity Check"
      ],
      "metadata": {
        "id": "QHfYew3C-RQM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_img_data_all.head(20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "FqOkRxpcO6sp",
        "outputId": "6b43bea5-9543-491e-b048-eef81f5d31ab"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-1114a8d7-a78f-4440-8715-afdff791b3f3\">\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>id</th>\n",
              "      <th>usage</th>\n",
              "      <th>image_file</th>\n",
              "      <th>image_rename</th>\n",
              "      <th>current_directory</th>\n",
              "      <th>layer</th>\n",
              "      <th>img_type</th>\n",
              "      <th>OMS</th>\n",
              "      <th>sexe (0=F 1=M)</th>\n",
              "      <th>DDN</th>\n",
              "      <th>Date biopsie</th>\n",
              "      <th>Age au diag</th>\n",
              "      <th>Deces Code</th>\n",
              "      <th>Code recidive</th>\n",
              "      <th>localisation</th>\n",
              "      <th>RNAscope</th>\n",
              "      <th>T</th>\n",
              "      <th>N</th>\n",
              "      <th>M</th>\n",
              "      <th>Tabac</th>\n",
              "      <th>Alcool</th>\n",
              "      <th>Data</th>\n",
              "      <th>OS</th>\n",
              "      <th>id_encoding</th>\n",
              "      <th>image_rename_encoding</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>745</th>\n",
              "      <td>a93ad8</td>\n",
              "      <td>train</td>\n",
              "      <td>a93ad8_[10178,39247]_image_with_tissue_seg.jpg</td>\n",
              "      <td>composite_segmentation_tissue_a93ad8_[10178,39...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>65.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>45</td>\n",
              "      <td>10</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1069</th>\n",
              "      <td>b110d5</td>\n",
              "      <td>train</td>\n",
              "      <td>b110d5_[16031,44431]_image_with_tissue_seg.jpg</td>\n",
              "      <td>composite_segmentation_tissue_b110d5_[16031,44...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>76.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>69</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>18</td>\n",
              "      <td>27</td>\n",
              "      <td>199</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1142</th>\n",
              "      <td>b293e2</td>\n",
              "      <td>train</td>\n",
              "      <td>b293e2_[10779,55582]_composite_image.jpg</td>\n",
              "      <td>raw_Cellules tumorales et cellules inflammatoi...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellules tumorales et cellules inflammatoires 3</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>84.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>76</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>21</td>\n",
              "      <td>31</td>\n",
              "      <td>988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>aa21da</td>\n",
              "      <td>train</td>\n",
              "      <td>aa21da_[9309,36442]_composite_image.jpg</td>\n",
              "      <td>composite_segmentation_tissue_aa21da_[9309,364...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>54.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>44</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>47</td>\n",
              "      <td>11</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>407</th>\n",
              "      <td>afdc1c</td>\n",
              "      <td>train</td>\n",
              "      <td>afdc1c_[11130,47683]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 2_afdc1c_[11130,47683...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 2</td>\n",
              "      <td>raw</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>63.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>54</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>70</td>\n",
              "      <td>23</td>\n",
              "      <td>524</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>842</th>\n",
              "      <td>b4b14e</td>\n",
              "      <td>train</td>\n",
              "      <td>b4b14e_[11825,55650]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_b4b14e_[11825,55650...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>77.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>69</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>31</td>\n",
              "      <td>36</td>\n",
              "      <td>421</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>643</th>\n",
              "      <td>b67e5a</td>\n",
              "      <td>train</td>\n",
              "      <td>b67e5a_[12542,56221]_composite_image.jpg</td>\n",
              "      <td>composite_segmentation_tissue_b67e5a_[12542,56...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>81.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>74</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>15</td>\n",
              "      <td>40</td>\n",
              "      <td>278</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>aba442</td>\n",
              "      <td>train</td>\n",
              "      <td>aba442_[17056,55002]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 5_aba442_[17056,55002...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 5</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>62.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>13</td>\n",
              "      <td>14</td>\n",
              "      <td>779</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>734</th>\n",
              "      <td>a93ad8</td>\n",
              "      <td>train</td>\n",
              "      <td>a93ad8_[11342,40023]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 2_a93ad8_[11342,40023...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 2</td>\n",
              "      <td>raw</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>65.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>45</td>\n",
              "      <td>10</td>\n",
              "      <td>474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>883</th>\n",
              "      <td>b4fddb</td>\n",
              "      <td>train</td>\n",
              "      <td>b4fddb_[11984,37261]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 4_b4fddb_[11984,37261...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 4</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>82.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>75</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>66</td>\n",
              "      <td>37</td>\n",
              "      <td>714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>761</th>\n",
              "      <td>a8ebaf</td>\n",
              "      <td>train</td>\n",
              "      <td>a8ebaf_[19316,54942]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 5_a8ebaf_[19316,54942...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 5</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>65.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>56</td>\n",
              "      <td>9</td>\n",
              "      <td>761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1087</th>\n",
              "      <td>a6cafe</td>\n",
              "      <td>train</td>\n",
              "      <td>a6cafe_[14145,45445]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 2_a6cafe_[14145,45445...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 2</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>82.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>75</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>67</td>\n",
              "      <td>5</td>\n",
              "      <td>455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>835</th>\n",
              "      <td>a67dfe</td>\n",
              "      <td>train</td>\n",
              "      <td>a67dfe_[13491,59805]_composite_image.jpg</td>\n",
              "      <td>raw_Cellules tumorales et cellules inflammatoi...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellules tumorales et cellules inflammatoires 3</td>\n",
              "      <td>raw</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>68.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>59</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>59</td>\n",
              "      <td>4</td>\n",
              "      <td>888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>722</th>\n",
              "      <td>a93ad8</td>\n",
              "      <td>train</td>\n",
              "      <td>a93ad8_[11342,40023]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 1_a93ad8_[11342,40023...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 1</td>\n",
              "      <td>raw</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>65.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>45</td>\n",
              "      <td>10</td>\n",
              "      <td>328</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>894</th>\n",
              "      <td>b4fddb</td>\n",
              "      <td>train</td>\n",
              "      <td>b4fddb_[13033,38744]_image_with_tissue_seg.jpg</td>\n",
              "      <td>composite_segmentation_tissue_b4fddb_[13033,38...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>82.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>75</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>66</td>\n",
              "      <td>37</td>\n",
              "      <td>263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>593</th>\n",
              "      <td>a54803</td>\n",
              "      <td>train</td>\n",
              "      <td>a54803_[11950,38794]_composite_image.jpg</td>\n",
              "      <td>raw_Cellule inflamatoire 5_a54803_[11950,38794...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellule inflamatoire 5</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>69.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>60</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>69</td>\n",
              "      <td>2</td>\n",
              "      <td>737</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1005</th>\n",
              "      <td>b0c41b</td>\n",
              "      <td>train</td>\n",
              "      <td>b0c41b_[18565,45592]_image_with_tissue_seg.jpg</td>\n",
              "      <td>composite_segmentation_tissue_b0c41b_[18565,45...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>77.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>69</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>53</td>\n",
              "      <td>26</td>\n",
              "      <td>193</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>af8dca</td>\n",
              "      <td>train</td>\n",
              "      <td>af8dca_[12090,61223]_composite_image.jpg</td>\n",
              "      <td>composite_segmentation_tissue_af8dca_[12090,61...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>79.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>71</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>43</td>\n",
              "      <td>22</td>\n",
              "      <td>164</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>271</th>\n",
              "      <td>aba442</td>\n",
              "      <td>train</td>\n",
              "      <td>aba442_[17056,55002]_composite_image.jpg</td>\n",
              "      <td>composite_segmentation_tissue_aba442_[17056,55...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>segmentation_tissue</td>\n",
              "      <td>raw</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>62.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>13</td>\n",
              "      <td>14</td>\n",
              "      <td>98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>235</th>\n",
              "      <td>b5e396</td>\n",
              "      <td>train</td>\n",
              "      <td>b5e396_[13085,39442]_composite_image.jpg</td>\n",
              "      <td>raw_Cellules tumorales et cellules inflammatoi...</td>\n",
              "      <td>/content/drive/MyDrive/Kaggle/ORLIA/Train/</td>\n",
              "      <td>Cellules tumorales et cellules inflammatoires 3</td>\n",
              "      <td>raw</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>88.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>79</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Image + clinical</td>\n",
              "      <td>12</td>\n",
              "      <td>39</td>\n",
              "      <td>1013</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1114a8d7-a78f-4440-8715-afdff791b3f3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "      </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",
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              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\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",
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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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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-1114a8d7-a78f-4440-8715-afdff791b3f3 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-1114a8d7-a78f-4440-8715-afdff791b3f3');\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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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "          id  usage  ... id_encoding image_rename_encoding\n",
              "745   a93ad8  train  ...          10                    67\n",
              "1069  b110d5  train  ...          27                   199\n",
              "1142  b293e2  train  ...          31                   988\n",
              "26    aa21da  train  ...          11                    80\n",
              "407   afdc1c  train  ...          23                   524\n",
              "842   b4b14e  train  ...          36                   421\n",
              "643   b67e5a  train  ...          40                   278\n",
              "250   aba442  train  ...          14                   779\n",
              "734   a93ad8  train  ...          10                   474\n",
              "883   b4fddb  train  ...          37                   714\n",
              "761   a8ebaf  train  ...           9                   761\n",
              "1087  a6cafe  train  ...           5                   455\n",
              "835   a67dfe  train  ...           4                   888\n",
              "722   a93ad8  train  ...          10                   328\n",
              "894   b4fddb  train  ...          37                   263\n",
              "593   a54803  train  ...           2                   737\n",
              "1005  b0c41b  train  ...          26                   193\n",
              "92    af8dca  train  ...          22                   164\n",
              "271   aba442  train  ...          14                    98\n",
              "235   b5e396  train  ...          39                  1013\n",
              "\n",
              "[20 rows x 25 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(train_img_data_all['id_encoding'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bDmFxX9kRT-r",
        "outputId": "47b902dd-485c-4914-d72f-cebf45ede1db"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "42"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ghrnm76BY1vw"
      },
      "source": [
        "# Unit Tests"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "37AwHxfe6AnG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "60027014-5d12-433b-c2be-4a36b6070b5e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2\n",
            "179  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellule inflamatoire 1\n",
            "179  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellules tumorales et cellules inflammatoires 6\n",
            "179  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellule inflamatoire 5\n",
            "179  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellule inflamatoire 2\n",
            "179  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellule inflamatoire 4\n",
            "179  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/Cellules tumorales et cellules inflammatoires 3\n",
            "358  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/segmentation_tissue\n",
            "0  files detected in /content/drive/MyDrive/Epidemium Season 3/ORLIAn /image_data_v2/segmentation_tissue/.ipynb_checkpoints\n",
            "4  files detected in /content/drive/MyDrive/Kaggle/ORLIA\n",
            "1168  files detected in /content/drive/MyDrive/Kaggle/ORLIA/Train\n",
            "264  files detected in /content/drive/MyDrive/Kaggle/ORLIA/Test\n"
          ]
        }
      ],
      "source": [
        "# List out files\n",
        "for dirname, _, filenames in os.walk(IMAGEFILES + ''):\n",
        "  count = 0\n",
        "  for filename in filenames:\n",
        "      count = count + 1\n",
        "  print(count , \" files detected in \" + dirname)\n",
        "\n",
        "for dirname, _, filenames in os.walk(METADATA_PATH + ''):\n",
        "  count = 0\n",
        "  for filename in filenames:\n",
        "      count = count + 1\n",
        "  print(count , \" files detected in \" + dirname)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M8aUELdVY3hV",
        "outputId": "9d36862e-0f1b-459e-d3d4-83bc8e6eeb9e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['raw']\n",
            "['raw']\n"
          ]
        }
      ],
      "source": [
        "# Make sure all the IDs in the files are actually train / test\n",
        "print(train_img_data_all[\"img_type\"].unique())\n",
        "print(test_img_data_all[\"img_type\"].unique())\n",
        "\n",
        "for ids in list(train_img_data_all['id'].unique()):\n",
        "  if ids not in unique_train_ids:\n",
        "    print(\"Train DF has a leak\")\n",
        "\n",
        "for ids in list(test_img_data_all['id'].unique()):\n",
        "  if ids not in unique_test_ids:\n",
        "    print(\"Train DF has a leak\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_img_data_all.duplicated().unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z8cyogg6jp2O",
        "outputId": "bfde1ff4-d357-4449-eb76-f97235264954"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([False])"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(unique_train_ids)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_eSQ4M4WhCAb",
        "outputId": "96c18e26-e464-40f3-e7bf-4f0dd81ff516"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['abf1b4' 'a5969b' 'aa21da' 'b075a7' 'b2e232' 'a4fa68' 'a4ad44' 'b67e5a'\n",
            " 'a89f20' 'af4155' 'a801cb' 'a54803' 'b110d5' 'a67dfe' 'a93ad8' 'b1fa79'\n",
            " 'aa6e3d' 'b293e2' 'aba442' 'b41668' 'afdc1c' 'b4b14e' 'a85076' 'b32f11'\n",
            " 'a8ebaf' 'b24726' 'b4fddb' 'b5e396' 'b59738' 'b6cb24' 'b3c9bb' 'af8dca'\n",
            " 'ae5b78' 'ad7219' 'acd8f0' 'ab55eb' 'aea82d' 'b1abe7' 'b02926' 'b0c41b'\n",
            " 'adc0ca' 'a6cafe' 'a63042' 'aef4f0' 'b15d33' 'b54aba' 'a7660c' 'a9886a'\n",
            " 'a71943' 'ab076b' 'a9d4f0' 'a5e38c']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(unique_test_ids)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B0oFCjEHhEra",
        "outputId": "6c06b718-97ad-4e1c-ef34-91c30b24ff47"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['ae0d22' 'ac3e32' 'ad2573' 'b37b6e' 'b631e6' 'b462ff' 'a7b285' 'aabb0e'\n",
            " 'ac8a8b']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "id": "ZkFXYUdeNs9C"
      },
      "outputs": [],
      "source": [
        "# Make sure all the photos are in the right places\n",
        "for dirname, _, filenames in os.walk(METADATA_PATH + ''):\n",
        "  for filename in filenames:\n",
        "      if (not filename.endswith(\".csv\")):\n",
        "        if (dirname.endswith(\"Train\")):\n",
        "          if (filename.split(\"_\")[2] != \"tissue\"):\n",
        "            if str(filename.split(\"_\")[2]) not in unique_train_ids:\n",
        "              print(\"Train leakage:\", filename.split(\"_\")[2])\n",
        "        elif (dirname.endswith(\"Test\")):\n",
        "          if (filename.split(\"_\")[2] != \"tissue\"):\n",
        "            if str(filename.split(\"_\")[2]) not in unique_test_ids:\n",
        "              print(\"Test leakage:\", filename.split(\"_\")[2])\n",
        "\n",
        "#Success = No output"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "orlian-data-preperation.ipynb",
      "provenance": [],
      "mount_file_id": "https://github.com/BurgundyIsAPublicEnemy/ORLIAn/blob/main/Data_Preperation.ipynb",
      "authorship_tag": "ABX9TyNLHRpkU0ungts/Sofm3Tew",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}