xray_vision_cnn.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Jibbie17/xray/blob/main/xray_vision_cnn.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J51heJRffkA0"
      },
      "source": [
        "This is the latest version with CNN. -- Zewei (Whiskey), May 13"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q46wW7Cs9oE6"
      },
      "source": [
        "Team: X-Ray Vision\n",
        "Group Members:\n",
        "- Gabriel Barrett\n",
        "- Ruben Gallardo\n",
        "- Zewei (Whiskey) Liao"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m_pZby8o8O2y"
      },
      "source": [
        "# Set-Up"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## [DON'T RUN] Google Colab Set-up"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "haElXXBqBZQk",
        "outputId": "11e00595-614d-4705-b20f-6e834a7ecfdc"
      },
      "outputs": [
        {
          "ename": "ModuleNotFoundError",
          "evalue": "No module named 'google'",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "Cell \u001b[0;32mIn[36], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Standard way to load google drive -- essentially change the working dir to your google drive\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# DO NOT CHANGE the follow two lines\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgoogle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcolab\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m drive\n\u001b[1;32m      4\u001b[0m drive\u001b[38;5;241m.\u001b[39mmount(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/content/drive\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# This might be subject to change depending on your g-drive file structure, but\u001b[39;00m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# I rec that you save te shared folder `xray-vision-ml-proj` under the same path here\u001b[39;00m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'google'"
          ]
        }
      ],
      "source": [
        "# Standard way to load google drive -- essentially change the working dir to your google drive\n",
        "# DO NOT CHANGE the follow two lines\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# This might be subject to change depending on your g-drive file structure, but\n",
        "# I rec that you save te shared folder `xray-vision-ml-proj` under the same path here\n",
        "proj_folder_path = '/content/drive/My Drive/xray-vision-ml-proj/'\n",
        "data_folder_path = proj_folder_path + 'data-pooled-for-resplit/'\n",
        "data_csv_path = data_folder_path + \"data.csv\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Local Set-Up"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "p-8fiUx2B9oa"
      },
      "outputs": [],
      "source": [
        "# This might be subject to change depending on your g-drive file structure, but\n",
        "# I rec that you save te shared folder `xray-vision-ml-proj` under the same path here\n",
        "# proj_folder_path = '/content/drive/My Drive/xray-vision-ml-proj/'\n",
        "cwd = os.getcwd()\n",
        "data_folder_path = cwd + '/data/'\n",
        "data_csv_path = data_folder_path + \"data.csv\"\n",
        "aug_data_csv_path = data_folder_path + \"data_aug.csv\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "id": "ZG7EJMSj9oE8"
      },
      "outputs": [],
      "source": [
        "from pathlib import Path\n",
        "from PIL import Image\n",
        "import pandas as pd\n",
        "import json\n",
        "import os\n",
        "from collections import namedtuple\n",
        "import matplotlib.pyplot as plt\n",
        "from torch.utils import data\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "import torchvision.transforms as T\n",
        "from torchvision.io import read_image\n",
        "import re\n",
        "from sklearn.model_selection import train_test_split\n",
        "import logging\n",
        "import pickle\n",
        "import lightning as L\n",
        "\n",
        "# Set up logging to file and console\n",
        "logging.basicConfig(\n",
        "    level = logging.INFO,\n",
        "    format = '%(asctime)s:%(levelname)s:%(message)s',\n",
        "    handlers = [logging.FileHandler(\"xray-cnn.log\"),\n",
        "              logging.StreamHandler()])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q8sT84sWop4y"
      },
      "source": [
        "# [RUN IT ONCE ONLY] Resplit the Dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9V3GSXKSopTw",
        "outputId": "9141099b-2da5-4c77-9732-86136f0f297d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "split\n",
            "train    4099\n",
            "test     1172\n",
            "valid     585\n",
            "Name: count, dtype: int64\n",
            "split\n",
            "train    6315\n",
            "test     1172\n",
            "valid     585\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "Image_Stats = namedtuple('Image_Stats', [\"label\", \"image_name\", \"path\"])\n",
        "\n",
        "def construct_df(data_folder_path):\n",
        "    '''\n",
        "    Pull the label, file name, and file path of each image and compile into a df\n",
        "    for later re-spliting.\n",
        "    '''\n",
        "    # a list of tuples for later conversion into pandas df\n",
        "    tup_list = []\n",
        "\n",
        "    # loop over the only two options of subfolders: NORMAL or PNEUMONIA\n",
        "    for folder_name in [\"NORMAL\", \"PNEUMONIA\"]:\n",
        "      folder_path = os.path.join(data_folder_path, folder_name)\n",
        "\n",
        "      # loop over each x-ray image file\n",
        "      for file_name in os.listdir(folder_path):\n",
        "        if file_name == '.DS_Store':\n",
        "          continue\n",
        "        file_path = os.path.join(folder_path, file_name)\n",
        "        if os.path.isfile(file_path):\n",
        "          img_label = 1 if folder_name == 'PNEUMONIA' else 0\n",
        "          # compile into a tuple for each image\n",
        "          tup = Image_Stats(img_label, file_name, file_path)\n",
        "          tup_list.append(tup)\n",
        "\n",
        "    return tup_list\n",
        "\n",
        "tup_list = construct_df(data_folder_path)\n",
        "df_before_resplit = pd.DataFrame(tup_list).reset_index()\n",
        "\n",
        "# RESPLIT\n",
        "# Splitting data into train and temp (temp will be split into validation and test)\n",
        "train, temp = train_test_split(\n",
        "  df_before_resplit, test_size=0.3, \n",
        "  stratify=df_before_resplit['label'], random_state=42)\n",
        "\n",
        "# Splitting temp into validation and test\n",
        "valid, test = train_test_split(temp, test_size=(2/3), stratify=temp['label'], random_state=42)\n",
        "\n",
        "# Assigning split labels\n",
        "train['split'] = 'train'\n",
        "valid['split'] = 'valid'\n",
        "test['split'] = 'test'\n",
        "\n",
        "# Combining the splits back into a single DataFrame\n",
        "df_resplit = pd.concat([train, valid, test])\n",
        "\n",
        "# Verifying the splits\n",
        "print(df_resplit['split'].value_counts())\n",
        "\n",
        "# create two copies of the normal training data\n",
        "normal_train_images = df_resplit.loc[(df_resplit['label'] == 0) & (df_resplit['split'] == 'train')]\n",
        "# add these copies to our training dataset to help with the class imbalance problem\n",
        "df_aug = pd.concat([df_resplit, normal_train_images, normal_train_images]).reset_index(drop=True)\n",
        "\n",
        "# save it to a new path\n",
        "df_aug.to_csv(aug_data_csv_path, index = False)\n",
        "print(df_aug['split'].value_counts())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l0dLZ6l39oE9"
      },
      "source": [
        "# [DON'T RUN] Pre-Processing & Summary Stats"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jjQCX9ji9oE-"
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      "outputs": [],
      "source": [
        "Image_Stats = namedtuple('Image_Stats', [\"split\", \"label\", \"sick_type\", \"width\", \"height\", \"pixels_sq\", \"ratio\", \"channels\", \"image_name\", \"path\"])\n",
        "\n",
        "METRICS = [\"widths\", \"heights\", \"pixels_sq\", \"ratios\", \"channels\"]\n",
        "\n",
        "def compile_stats(data_path):\n",
        "    '''\n",
        "    This function takes a path that specifies the root directory where the\n",
        "    data folders are located, finds each file and saves each file's\n",
        "    reference information in a named tuple called \"Image_Stats.\" This function\n",
        "    then returns a list of the named tuples and a dicitonary of summary statistics\n",
        "    that summarizes statistics for all of the tuples.\n",
        "\n",
        "    Takes: data_path (str), a string specifying the root of the directory where\n",
        "    the path is located.\n",
        "\n",
        "    Returns:\n",
        "\n",
        "    '''\n",
        "    # a list of tuples for later conversion into pandas df\n",
        "    tup_list = []\n",
        "    sum_stats = {}\n",
        "\n",
        "    # iterate through the level 1 folders -- test, train, and val\n",
        "    for folder_l1 in os.listdir(data_path):\n",
        "        # ignore the irrelevant doc / folders\n",
        "        if folder_l1 in ('.DS_Store', '__MACOSX'):\n",
        "            continue\n",
        "        fl1 = os.path.join(data_path, folder_l1)\n",
        "\n",
        "        # checking if it is a folder\n",
        "        if not os.path.isdir(fl1):\n",
        "            continue\n",
        "        sum_stats[folder_l1] = {}\n",
        "        for folder_l2 in os.listdir(fl1):\n",
        "            # iterating through Normal and Pnemonia\n",
        "            if folder_l2 == '.DS_Store':\n",
        "                continue\n",
        "            fl2 = os.path.join(fl1, folder_l2)\n",
        "            if not os.path.isdir(fl2):\n",
        "                continue\n",
        "            sum_stats[folder_l1][folder_l2] = {}\n",
        "\n",
        "            for filename in os.listdir(fl2):\n",
        "                # iterating through images\n",
        "                if filename == '.DS_Store':\n",
        "                    continue\n",
        "                f = os.path.join(fl2, filename)\n",
        "                # checking if it is a file\n",
        "                if not os.path.isfile(f):\n",
        "                    continue\n",
        "\n",
        "                image_obj = Image.open(f)\n",
        "\n",
        "                #initializing empty lists of summary statistics\n",
        "                for m in METRICS:\n",
        "                    sum_stats[folder_l1][folder_l2][m] = sum_stats[folder_l1][folder_l2].get(m, [])\n",
        "\n",
        "                #fillin in the summary statistics\n",
        "                sum_stats[folder_l1][folder_l2][\"widths\"].append(image_obj.width)\n",
        "                sum_stats[folder_l1][folder_l2][\"heights\"].append(image_obj.height)\n",
        "\n",
        "                #calculating square pixels\n",
        "                square_pixels = int(image_obj.height) * int(image_obj.width)\n",
        "                sum_stats[folder_l1][folder_l2][\"pixels_sq\"].append(square_pixels)\n",
        "\n",
        "                ratio = int(image_obj.width)/int(image_obj.height)\n",
        "                sum_stats[folder_l1][folder_l2][\"ratios\"].append(ratio)\n",
        "\n",
        "                #counting the number of layers / channels\n",
        "                channels = image_obj.getbands()\n",
        "                sum_stats[folder_l1][folder_l2][\"channels\"].append(len(channels))\n",
        "\n",
        "                img_label = 1 if folder_l2 == 'PNEUMONIA' else 0\n",
        "\n",
        "                # Checking if the Label is Bacteria or Virus\n",
        "                if folder_l2 == 'PNEUMONIA':\n",
        "                    str_path = str(filename)\n",
        "                    if re.search(\"virus\", str_path):\n",
        "                        sick = \"Virus\"\n",
        "                    else:\n",
        "                        sick = \"Bacteria\"\n",
        "                else:\n",
        "                    sick = \"Normal\"\n",
        "\n",
        "                tup = Image_Stats(folder_l1, img_label, sick, image_obj.width, image_obj.height, square_pixels, ratio, len(channels), filename, f)\n",
        "                tup_list.append(tup)\n",
        "\n",
        "                del image_obj\n",
        "\n",
        "    return sum_stats, tup_list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rq_sZHQc9oE-"
      },
      "outputs": [],
      "source": [
        "dic, tup_list = compile_stats(data_folder_path)\n",
        "df = pd.DataFrame(tup_list)\n",
        "\n",
        "# Verify DataFrame\n",
        "df.head(10)"
      ]
    },
    {
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      "execution_count": null,
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        "outputId": "c46606f5-0440-4931-83ec-bc9b08c3af12"
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      "outputs": [
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-ca78102d-6112-40ea-b347-b80f2df2afa8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-0d380549-2dbd-48b9-8c9a-1084b723cb4d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0d380549-2dbd-48b9-8c9a-1084b723cb4d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0d380549-2dbd-48b9-8c9a-1084b723cb4d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   index  label                     image_name  \\\n",
              "0   2895      1   person406_bacteria_1818.jpeg   \n",
              "1    873      0      NORMAL2-IM-1224-0001.jpeg   \n",
              "2   3069      1   person413_bacteria_1833.jpeg   \n",
              "3   4004      1  person1709_bacteria_4522.jpeg   \n",
              "4   5620      1    person122_bacteria_584.jpeg   \n",
              "\n",
              "                                                path  split  \n",
              "0  /content/drive/My Drive/xray-vision-ml-proj/da...  train  \n",
              "1  /content/drive/My Drive/xray-vision-ml-proj/da...  train  \n",
              "2  /content/drive/My Drive/xray-vision-ml-proj/da...  train  \n",
              "3  /content/drive/My Drive/xray-vision-ml-proj/da...  train  \n",
              "4  /content/drive/My Drive/xray-vision-ml-proj/da...  train  "
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# reload the data df\n",
        "df = pd.read_csv(data_csv_path)\n",
        "df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "04qW-T3OfsLn"
      },
      "outputs": [],
      "source": [
        "# save\n",
        "df.to_csv(data_csv_path, index = False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kicWJFu_9oE_"
      },
      "outputs": [],
      "source": [
        "df[\"ratio\"].mean()\n",
        "\n",
        "#Presenting the averages for each summary statistic.\n",
        "\n",
        "df[[\"width\", \"height\", \"ratio\", \"channels\"]].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FWl_HGXh9oE_"
      },
      "outputs": [],
      "source": [
        "# Ploting the distributing of each summary statistic.\n",
        "df[[\"width\", \"height\", \"ratio\", \"channels\"]].hist()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VOTKkvn49oE_"
      },
      "source": [
        "Based on these summary statistics the vast majority of images are landscape, meaning that the width is longer than the height. Almost all the images have only one channel, meaning they are in greyscale, but it appears 283 images have three channels meaning their data is held in rgb."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EHgx9vr59oE_",
        "outputId": "15cce3b8-f124-44ea-e944-fc5d74cf43a2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "channels    283\n",
              "dtype: int64"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_channels = df[[\"channels\"]]\n",
        "df_channels[df[[\"channels\"]]==3].count()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Me22fKX99oFA"
      },
      "source": [
        "# Implement Custom Dataset & Augmentations"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "df = pd.read_csv(aug_data_csv_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j5xRIR909oFA"
      },
      "source": [
        "We implemented a custom Dataset class based on [this PyTorch documentation](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html#creating-a-custom-dataset-for-your-files). This class will help us do our image augmentations later on."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "58ms5NJ19oFA"
      },
      "outputs": [],
      "source": [
        "# Custom PyTorch Image Dataset Class\n",
        "# Code Resource: https://pytorch.org/tutorials/beginner/basics/data_tutreadorial.html#creating-a-custom-dataset-for-your-files\n",
        "\n",
        "# inheriting from the pytorch Dataset class\n",
        "class CustomImageDataset(Dataset): # TODO maybe change the name later on\n",
        "    def __init__(self, df, transform = None):\n",
        "        \"\"\"\n",
        "        df (pandas df): pandas dataframe\n",
        "        split: \"train\", \"valid\", or \"test\"\n",
        "        transform: Compose (a PyTorch Class) that strings together several\n",
        "        transform functions (e.g. data augmentation steps)\n",
        "        \"\"\"\n",
        "        #self.df = df\n",
        "        self.df = df.reset_index(drop=True)\n",
        "        self.transform = transform\n",
        "\n",
        "    def __len__(self):\n",
        "        \"\"\"\n",
        "        Returns: (int) length of your dataset\n",
        "        \"\"\"\n",
        "        return len(self.df)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        \"\"\"\n",
        "        Loads and returns your sample (the image and the label) at the\n",
        "        specified index\n",
        "\n",
        "        Parameter: idx (int): index of interest\n",
        "\n",
        "        Returns: image, label\n",
        "        \"\"\"\n",
        "\n",
        "        img_path = Path(self.df.loc[idx, 'path'])\n",
        "        image = Image.open(img_path).convert('RGB')\n",
        "        label = self.df.loc[idx, 'label']\n",
        "\n",
        "        # Image Transformation\n",
        "        if self.transform:\n",
        "            image = self.transform(image)\n",
        "\n",
        "        # Returns augmented and/or normalized image with label\n",
        "        # Label = 1 if pneumonia and label = 0 if normal # TODO do we need to specify the label?\n",
        "        return image, label"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "t2YdVxe09oFB"
      },
      "outputs": [],
      "source": [
        "# Augmentation for Training Data\n",
        "# The list below are the OLD augmentations we used for the first checkpoint\n",
        "old_augmentations = T.Compose([\n",
        "    T.Resize((256, 256)),\n",
        "    T.RandomHorizontalFlip(p=0.5),  # Horizontal flip with prob of 0.5\n",
        "    T.RandomVerticalFlip(p=0.5),    # Vertical flip with prob of 0.5\n",
        "    T.RandomResizedCrop(size=(256, 256), scale=(0.8, 1.0), ratio=(0.75, 1.33)),  # Rescaling\n",
        "    T.RandomAffine(degrees=0, translate=(0.1, 0.1)),  # Shifts image horizontally or vertically by 10%\n",
        "    T.ColorJitter(brightness=0.2, contrast=0.2),  # Randomly changes brightness and contrast\n",
        "    T.RandomRotation(degrees=10), # Random rotation\n",
        "    T.Grayscale(num_output_channels=1),  # Convert images to grayscale\n",
        "    T.ToTensor()  # Convert images to tensors\n",
        "])\n",
        "\n",
        "# Augmentation for Training Data\n",
        "# The augmentations below are the new ones that I took from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330434/\n",
        "augmentations = T.Compose([\n",
        "    T.Resize((256, 256)),\n",
        "\n",
        "    # every image has 50/50 chance of being flipped horizontally\n",
        "    T.RandomHorizontalFlip(p=0.5),\n",
        "\n",
        "    # every image will be rescaled and cropped, but how it gets rescaled and cropped will be random\n",
        "    # scale param defines the range of the area of the image to be used in the crop.\n",
        "    # (scale = 0.8, 1.0) means the cropped area will be at least 80% to 100% of the image area\n",
        "    # ratio param defines the range of aspect ratios for the cropped area\n",
        "    # 0.75 means the aspect ratio (width/height) can be as low as 3:4\n",
        "    # 1.33 means the aspect ratio (width/height) can be as high as 4:3\n",
        "    T.RandomResizedCrop(size=(256, 256), scale=(0.8, 1.0), ratio=(0.75, 1.33)),\n",
        "\n",
        "    # The brightness and contrast of every image will be randomly changed\n",
        "    # brightness=0.2 means the brightness factor is chosen randomly from the range [0.8, 1.2]\n",
        "    # contrast=0.2 means the contrast factor is chosen randomly from the range [0.8, 1.2]\n",
        "    T.ColorJitter(brightness=0.2, contrast=0.2),\n",
        "\n",
        "    # All images are rotated by a random angle within the range [-10, 10]\n",
        "    # Notice that 0 is included in the range, which means some images will NOT be rotated\n",
        "    T.RandomRotation(degrees=10), # Random rotation\n",
        "\n",
        "    # RandomApply applies a list of transformations randomly based on the given probability (p=0.5)\n",
        "    # kernel_size=(5,5): This specifies the size of the Gaussian kernel. In this case, the kernel is a 5x5 matrix.\n",
        "    # sigma=(0.1, 0.2): This specifies the range of standard deviation for the Gaussian kernel.\n",
        "    # The actual standard deviation used for blurring is chosen randomly from the range [0.1, 0.2]\n",
        "    T.RandomApply([\n",
        "            T.GaussianBlur(kernel_size=(5,5), sigma=(0.1, 0.2))\n",
        "        ], p=0.5),\n",
        "\n",
        "    # The two transformations below make the images compatible with the dataloader and model\n",
        "    T.Grayscale(num_output_channels=1),  # Convert images to grayscale\n",
        "    T.ToTensor()  # Convert images to tensors\n",
        "])\n",
        "\n",
        "# Normalization for Validation and Test datasets\n",
        "normalizations = T.Compose([\n",
        "    T.Resize((256, 256)),\n",
        "    T.Grayscale(num_output_channels=1),  # Convert images to grayscale\n",
        "    T.ToTensor()\n",
        "])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yE_va1ct9oFB"
      },
      "source": [
        "# [DON'T RUN] Augmentation Examples "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mgbT82W-9oFB"
      },
      "source": [
        "\n",
        "For data augmentation, we conducted a literature scan of data augmentation methods used in medical image deep learning, with a focus on studies that use chest X-ray images. We identified horizontal flipping, rescaling,  shifting, rotation, brightness and contrast changes to be the most common methods that also make sense to our study. We implemented them as a starting point, keeping in mind they are hyperparameters we can revisit and readjust later depending on model performance."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BcLZFNYO9oFB"
      },
      "source": [
        "### Original Sample Image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XJELmiEk9oFB",
        "outputId": "70936105-1c3c-4311-e276-50dab42dd77b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Random Horizontal Flip\n",
        "image = read_image(alt_directory + '/train/PNEUMONIA/person141_virus_287.jpeg')\n",
        "\n",
        "image = image.squeeze() # Remove the channel dimension because it's grayscale\n",
        "plt.imshow(image, cmap='grey')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CtM7M0HG9oFC"
      },
      "source": [
        "### Random Horizonal Flip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tETrDJfl9oFC",
        "outputId": "3d6218bd-48cd-473d-eb37-00b4c50a5b8a"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Random Horizontal Flip with probability of 0.5\n",
        "image = T.RandomHorizontalFlip(p=0.5)(image)\n",
        "\n",
        "image = image.squeeze() # Remove the channel dimension because it's grayscale\n",
        "plt.imshow(image, cmap='grey')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V7WW-XvT9oFC"
      },
      "source": [
        "### Rescaling"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N-UCiyc-9oFC",
        "outputId": "343ddf53-0f3a-46e1-f0bc-a2d56df3a8b0"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Add a batch dimension\n",
        "image = image.unsqueeze(0)  # Reshape from (C, H, W) to (1, C, H, W)\n",
        "\n",
        "# Rescaling\n",
        "image = T.RandomResizedCrop(size=(256, 256), scale=(0.8, 1.0), ratio=(0.75, 1.33))(image)\n",
        "\n",
        "# Remove the batch dimension for displaying\n",
        "image = image.squeeze(0)\n",
        "\n",
        "# Display the image\n",
        "plt.imshow(image.squeeze(), cmap='grey')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cb5lMraq9oFD"
      },
      "source": [
        "### Random Shifting"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "voktaUgi9oFD",
        "outputId": "725ecf93-35ac-43b2-f477-37a9667006c7"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Add a batch dimension\n",
        "image = image.unsqueeze(0)  # Reshape from (C, H, W) to (1, C, H, W)\n",
        "\n",
        "# Shifts image horizontally or vertically by 10%\n",
        "image = T.RandomAffine(degrees=0, translate=(0.1, 0.1))(image)\n",
        "\n",
        "# Remove the batch dimension for displaying\n",
        "image = image.squeeze()\n",
        "\n",
        "plt.imshow(image, cmap='grey')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gWu5wMi89oFD"
      },
      "source": [
        "### Random Changes to Brightness & Contrast"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dfMjfc9Y9oFD",
        "outputId": "f226a06d-1f8b-41e1-eb2c-d37b6eff12d6"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Add a batch dimension\n",
        "image = image.unsqueeze(0)  # Reshape from (C, H, W) to (1, C, H, W)\n",
        "\n",
        "# Randomly changes brightness and contrast\n",
        "T.ColorJitter(brightness=0.2, contrast=0.2)(image)\n",
        "\n",
        "# Remove the batch dimension for displaying\n",
        "image = image.squeeze()  # Now image is (C, H, W) again\n",
        "\n",
        "plt.imshow(image, cmap='grey')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s2a5Q-W_9oFE"
      },
      "source": [
        "### Random Rotation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Mr1ilJ4B9oFE",
        "outputId": "e7470739-0b72-42ee-cbf7-74f65dedb9a5"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Add a batch dimension\n",
        "image = image.unsqueeze(0)  # Reshape from (C, H, W) to (1, C, H, W)\n",
        "\n",
        "# Randomly changes brightness and contrast\n",
        "T.RandomRotation(degrees=10)(image)\n",
        "\n",
        "# Remove the batch dimension for displaying\n",
        "image = image.squeeze()  # Now image is (C, H, W) again\n",
        "\n",
        "plt.imshow(image, cmap='grey')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g9QZetbG9oFE"
      },
      "source": [
        "# Split, Summarize, Load Data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cTFKflPs9oFE"
      },
      "source": [
        "After extracting the summary statistics of our images and storing them in a DataFrame, we prepared the data for the DataLoader by separating out the summary statistic into a training, test, and validation DataFrame. We also created a table that shows how many images fall into the normal or pneumonia group for each dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "pjLoha9u9oFE",
        "outputId": "706615c4-1e87-47e3-e8e7-6ecd11a4c6cb"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<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>Normal</th>\n",
              "      <th>Pneumonia</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Train</th>\n",
              "      <td>3324</td>\n",
              "      <td>2991</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Validation</th>\n",
              "      <td>158</td>\n",
              "      <td>427</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Test</th>\n",
              "      <td>317</td>\n",
              "      <td>855</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Normal  Pneumonia\n",
              "Train         3324       2991\n",
              "Validation     158        427\n",
              "Test           317        855"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Creating separate DataFrame's for the training, validation, and test set\n",
        "test_df = df.loc[df.loc[:, 'split'] == 'test']\n",
        "train_df = df.loc[df.loc[:, 'split']=='train']\n",
        "valid_df = df.loc[df.loc[:, 'split'] == 'valid']\n",
        "\n",
        "# Count the occurrences of each label\n",
        "train_counts = train_df['label'].value_counts().sort_index()\n",
        "val_counts = valid_df['label'].value_counts().sort_index()\n",
        "test_counts = test_df['label'].value_counts().sort_index()\n",
        "\n",
        "# Prepare Data for summary table\n",
        "summary_data = {\n",
        "    'Normal': [train_counts.get(0, 0), val_counts.get(0, 0), test_counts.get(0, 0)],\n",
        "    'Pneumonia': [train_counts.get(1, 0), val_counts.get(1, 0), test_counts.get(1, 0)]\n",
        "}\n",
        "\n",
        "# Create a summary table\n",
        "summary_df = pd.DataFrame(summary_data, index=['Train', 'Validation', 'Test'])\n",
        "summary_df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "saa0z4AZ9oFF"
      },
      "source": [
        "## Implement Data Loader"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gGNJUTwq9oFF"
      },
      "source": [
        "Based on [this PyTorch documentation](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html#preparing-your-data-for-training-with-dataloaders), we passed each dataset to a DataLoader. As the documentation states, this will help us pass random mini-batches of the data to our model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "id": "Y7dTnjIQ9oFF"
      },
      "outputs": [],
      "source": [
        "# Defining path for each dataset\n",
        "# test_dir = os.path.join(data_folder_path, 'test')\n",
        "# train_dir = os.path.join(data_folder_path, 'train')\n",
        "# val_dir = os.path.join(data_folder_path, 'val')\n",
        "\n",
        "# Creating a CustomImageDataset object for each dataset\n",
        "train_data = CustomImageDataset(train_df, augmentations) # changed parameter from augmentations to old_augmentations\n",
        "valid_data = CustomImageDataset(valid_df, normalizations)\n",
        "test_data = CustomImageDataset(test_df, normalizations)\n",
        "\n",
        "# Source: https://pytorch.org/tutorials/beginner/basics/data_tutorial.html#creating-a-custom-dataset-for-your-files\n",
        "train_dataloader = DataLoader(train_data, batch_size=64, shuffle=True)\n",
        "val_dataloader = DataLoader(valid_data, batch_size=64, shuffle=True)\n",
        "test_dataloader = DataLoader(test_data, batch_size=64, shuffle=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fgX8FT1VLv0n",
        "outputId": "f9838f8f-cfcd-4d78-8bf5-0c58d3848ec5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "index                                                      2880\n",
              "label                                                         1\n",
              "image_name                        person1156_bacteria_3101.jpeg\n",
              "path          /Users/wliao0504/Library/Mobile Documents/com~...\n",
              "split                                                     train\n",
              "Name: 1, dtype: object"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "train_data.df.loc[1]\n",
        "#print(\"DataFrame index range:\", train_df.index.min(), \"to\", train_df.index.max())\n",
        "#img_path = Path(self.df.loc[idx, 'path'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2Xy4M3tW9oFF"
      },
      "source": [
        "## Iterate through Training DataLoader"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3cgI8lnN9oFF"
      },
      "source": [
        "To validate that our Data Loader is working, we are displaying one image from a mini-batch below with the code below. Most of the code below comes from the PyTorch documentation [here](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html#iterate-through-the-dataloader)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "id": "D9yKSKDp9oFG",
        "outputId": "b84de5b9-fd18-4ec3-e9d3-344cd537d150"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Feature batch shape: torch.Size([64, 1, 256, 256])\n",
            "Labels batch shape: torch.Size([64])\n"
          ]
        },
        {
          "ename": "RuntimeError",
          "evalue": "permute(sparse_coo): number of dimensions in the tensor input does not match the length of the desired ordering of dimensions i.e. input.dim() = 2 is not equal to len(dims) = 3",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "Cell \u001b[0;32mIn[29], line 11\u001b[0m\n\u001b[1;32m      8\u001b[0m img \u001b[38;5;241m=\u001b[39m train_features[\u001b[38;5;241m21\u001b[39m]\u001b[38;5;241m.\u001b[39msqueeze() \u001b[38;5;66;03m# Change the index (0 to 63) to display a different image in batch\u001b[39;00m\n\u001b[1;32m      9\u001b[0m label \u001b[38;5;241m=\u001b[39m train_labels[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;66;03m# [0] for Normal & [1] for Pneumonia\u001b[39;00m\n\u001b[0;32m---> 11\u001b[0m img \u001b[38;5;241m=\u001b[39m \u001b[43mimg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpermute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# Change the shape to (256, 256, 3)\u001b[39;00m\n\u001b[1;32m     12\u001b[0m plt\u001b[38;5;241m.\u001b[39mimshow(img)\n\u001b[1;32m     13\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n",
            "\u001b[0;31mRuntimeError\u001b[0m: permute(sparse_coo): number of dimensions in the tensor input does not match the length of the desired ordering of dimensions i.e. input.dim() = 2 is not equal to len(dims) = 3"
          ]
        }
      ],
      "source": [
        "# Code Source: https://pytorch.org/tutorials/beginner/basics/data_tutorial.html#iterate-through-the-dataloader\n",
        "\n",
        "# Display image and label.\n",
        "train_features, train_labels = next(iter(train_dataloader))\n",
        "print(f\"Feature batch shape: {train_features.size()}\")\n",
        "print(f\"Labels batch shape: {train_labels.size()}\")\n",
        "\n",
        "img = train_features[21].squeeze() # Change the index (0 to 63) to display a different image in batch\n",
        "label = train_labels[1] # [0] for Normal & [1] for Pneumonia\n",
        "\n",
        "# img = img.permute(1, 2, 0)  # Change the shape to (256, 256, 3)\n",
        "plt.imshow(img)\n",
        "plt.show()\n",
        "print(f\"Label: {label}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bcm836-6FNLY"
      },
      "source": [
        "# Building the Neural Network"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "id": "Oy6ioZXM1uPa"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "import torch.nn as nn # basic building block for neural neteorks\n",
        "import torch.nn.functional as F # import convolution functions like Relu\n",
        "import torch.optim as optim # optimzer\n",
        "from sklearn.metrics import roc_curve, roc_auc_score, confusion_matrix, ConfusionMatrixDisplay, recall_score, RocCurveDisplay\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## [IGNORE] Old Framework: Non-OOP"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TRAWNkw97gjK"
      },
      "outputs": [],
      "source": [
        "class CNN(nn.Module):\n",
        "    def __init__(self):\n",
        "      '''\n",
        "      inspire by Turing award winning LeCun, Bengio and Hinton's paper from 1998\n",
        "      https://ieeexplore.ieee.org/document/726791 (cited more than 25,000 times!!!!!!!!!)\n",
        "      code from https://blog.paperspace.com/writing-lenet5-from-scratch-in-python/\n",
        "      '''\n",
        "      super().__init__()\n",
        "      # The attributes below let us save all of the predictions and actual labels in the class\n",
        "      # when we are ready to evaluate. These are set in predict_all as numpy arrays.\n",
        "      # objects.\n",
        "      self.predictions = None\n",
        "      self.y = None\n",
        "      # The y_score is the \"predicted probability\" as opposed to the prediciton\n",
        "      # This is needed for the ROC-AUC curve\n",
        "      self.y_score = None\n",
        "      # We will save our metrics in a dictionary. The dictioary will be filled on a\n",
        "      # call to evaluate_model ()\n",
        "      self.metrics = {}\n",
        "\n",
        "      self.LeNet = nn.Sequential(\n",
        "          # convolutional layers\n",
        "          nn.Sequential(                                            # FIRST LAYER: (INPUT LAYER)\n",
        "            nn.Conv2d(in_channels = 1, out_channels = 6, kernel_size = 5, stride= 1, padding = 0),    # CONVOLUTION\n",
        "            # Matches the number of output channels from the previous layer.\n",
        "            # This normalizes the output from the convolution layer, stabilizing the learning process.\n",
        "            nn.BatchNorm2d(num_features = 6),\n",
        "            nn.ReLU(),\n",
        "            nn.MaxPool2d(kernel_size = 2, stride = 2)),             # POOLING\n",
        "          nn.Sequential(                                            # SECOND LAYER: HIDDEN LAYER 1\n",
        "            nn.Conv2d(in_channels = 6, out_channels = 16, kernel_size = 5, stride = 1, padding = 0),   # CONVOLUTION\n",
        "            nn.BatchNorm2d(num_features = 16),\n",
        "            nn.ReLU(),\n",
        "            nn.MaxPool2d(kernel_size = 2, stride = 2)),             # POOLING\n",
        "          # fully connected layers\n",
        "          nn.Flatten(),\n",
        "          nn.Linear(in_features = 59536, out_features = 120),                                   # THIRD LAYER: LINEAR YEAR, HIDDEN LAYER 2\n",
        "          nn.ReLU(),                                                # HIDDEN LAYER's ACTIVATION FUNCION\n",
        "          nn.Linear(in_features = 120, out_features = 84),                                       # FOURTH LAYER: LINEAR YEAR, HIDDEN LAYER 3\n",
        "          nn.ReLU(),                                                # HIDDEN LAYER's ACTIVATION FUNCION\n",
        "          # output layer\n",
        "          nn.Linear(in_features = 84, out_features = 2)                                          # OUTPUT LAYER\n",
        "      )\n",
        "\n",
        "    def confusion_matrix(self):\n",
        "      cm = confusion_matrix(self.y, self.predictions)\n",
        "      cm_display = ConfusionMatrixDisplay(cm).plot()\n",
        "\n",
        "    def roc_curve(self):\n",
        "      # This function returns an roc curve, which graphs the false positive\n",
        "      # and true positive rate.\n",
        "      if self.y is None or self.predictions is None:\n",
        "        self.predict_all()\n",
        "      false_pos_rate, true_pos_rate, thresholds = roc_curve(self.y, self.predictions)\n",
        "      # Plot the curve\n",
        "      plt.plot(false_pos_rate, true_pos_rate)\n",
        "      plt.xlabel('False Positive Rate')\n",
        "      plt.ylabel('True Positive Rate')\n",
        "      plt.title('ROC Curve')\n",
        "      plt.show()\n",
        "\n",
        "    def evaluate_model(self, re_test = False):\n",
        "\n",
        "      if self.predictions is None or self.y is None or re_test is True:\n",
        "        self.predict_all()\n",
        "      # calculate accuracy\n",
        "      total_tests = len(self.y)\n",
        "      got_right = np.sum((self.y == self.predictions))\n",
        "      acc = got_right/total_tests\n",
        "      self.metrics[\"accuracy\"] = acc\n",
        "      # calculate recall\n",
        "      recall = recall_score(self.predictions, self.y)\n",
        "      self.metrics[\"recall\"] = recall\n",
        "      #area under the roc curve\n",
        "      self.metrics[\"auc_roc\"] = roc_auc_score(self.predictions,self.y)\n",
        "\n",
        "    def predict_all(self, data_loader):\n",
        "      self.train()\n",
        "      beta_list = []\n",
        "      y_list= []\n",
        "      y_score_list = []\n",
        "      for i, data in enumerate(data_loader):\n",
        "        x, y = data\n",
        "        outputs = self(x)\n",
        "        max_value, predicted = torch.max(outputs.data, 1)\n",
        "        y_list.append(y)\n",
        "        beta_list.append(predicted)\n",
        "      # We combine each lists (predictions and label) then convert them\n",
        "      # to numpy arrays\n",
        "      self.predictions = torch.cat(beta_list, dim = 0).detach().cpu().numpy()\n",
        "      self.y = torch.cat(y_list, dim = 0).detach().cpu().numpy()\n",
        "\n",
        "    def forward(self, x, visibility = True):\n",
        "      out = self.LeNet(x)\n",
        "      #if visibility is True:\n",
        "        #print(out.shape)  # This will show you the output shape at each step\n",
        "\n",
        "      return out\n",
        "      # return F.log_softmax(out, dim=1)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9-m46N7K65W9"
      },
      "outputs": [],
      "source": [
        "model = CNN()\n",
        "\n",
        "# 3: Define a Loss function and optimizer\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "optimizer = optim.SGD(model.parameters(), lr=0.001, momentum=0.9)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yipKBv7Pwp_P",
        "outputId": "52a18a11-960a-426f-921d-6534c79c7643"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "predicted: tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])\n"
          ]
        }
      ],
      "source": [
        "# TESTING CELL\n",
        "# Just trying to understand how train works\n",
        "\n",
        "model.train()\n",
        "for i, data in enumerate(train_dataloader):\n",
        "  inputs, labels = data\n",
        "  # Zero the parameter gradients\n",
        "  optimizer.zero_grad()\n",
        "\n",
        "  # Forward pass\n",
        "  outputs = model(inputs) # forward propagation\n",
        "  # Calculate accuracy\n",
        "  max_value, predicted = torch.max(outputs.data, 1) # 1 here refers to the column-wise comparison in a batch\n",
        "  print(f\"predicted: {predicted}\")\n",
        "  break\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cUv-684-Wbz3",
        "outputId": "10a17500-6ffd-48ba-b7b4-6c8c296a709f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/30, Train Loss: 0.3979, Train Acc: 0.8130, Val Loss: 0.5403, Val Acc: 0.7966\n",
            "Epoch 2/30, Train Loss: 0.2379, Train Acc: 0.9078, Val Loss: 0.2152, Val Acc: 0.9162\n",
            "Epoch 3/30, Train Loss: 0.2340, Train Acc: 0.9093, Val Loss: 0.1929, Val Acc: 0.9145\n",
            "Epoch 4/30, Train Loss: 0.2198, Train Acc: 0.9137, Val Loss: 0.1677, Val Acc: 0.9350\n",
            "Epoch 5/30, Train Loss: 0.2124, Train Acc: 0.9183, Val Loss: 2.8061, Val Acc: 0.3060\n",
            "Epoch 6/30, Train Loss: 0.1963, Train Acc: 0.9230, Val Loss: 2.6334, Val Acc: 0.3179\n",
            "Epoch 7/30, Train Loss: 0.1962, Train Acc: 0.9180, Val Loss: 0.1546, Val Acc: 0.9316\n",
            "Epoch 8/30, Train Loss: 0.1863, Train Acc: 0.9248, Val Loss: 0.1832, Val Acc: 0.9333\n",
            "Epoch 9/30, Train Loss: 0.1844, Train Acc: 0.9298, Val Loss: 0.2024, Val Acc: 0.9145\n",
            "Epoch 10/30, Train Loss: 0.1932, Train Acc: 0.9232, Val Loss: 0.1690, Val Acc: 0.9333\n",
            "Epoch 11/30, Train Loss: 0.1766, Train Acc: 0.9322, Val Loss: 0.2211, Val Acc: 0.9060\n",
            "Epoch 12/30, Train Loss: 0.1877, Train Acc: 0.9245, Val Loss: 0.1868, Val Acc: 0.9145\n",
            "Epoch 13/30, Train Loss: 0.1701, Train Acc: 0.9327, Val Loss: 0.1785, Val Acc: 0.9265\n",
            "Epoch 14/30, Train Loss: 0.1758, Train Acc: 0.9313, Val Loss: 0.2059, Val Acc: 0.9145\n",
            "Epoch 15/30, Train Loss: 0.1742, Train Acc: 0.9322, Val Loss: 0.4815, Val Acc: 0.7983\n",
            "Epoch 16/30, Train Loss: 0.1689, Train Acc: 0.9325, Val Loss: 0.4815, Val Acc: 0.8103\n",
            "Epoch 17/30, Train Loss: 0.1697, Train Acc: 0.9310, Val Loss: 0.3873, Val Acc: 0.8205\n",
            "Epoch 18/30, Train Loss: 0.1726, Train Acc: 0.9317, Val Loss: 0.1666, Val Acc: 0.9350\n",
            "Epoch 19/30, Train Loss: 0.1659, Train Acc: 0.9348, Val Loss: 0.3228, Val Acc: 0.9026\n",
            "Epoch 20/30, Train Loss: 0.1627, Train Acc: 0.9387, Val Loss: 0.1502, Val Acc: 0.9402\n",
            "Epoch 21/30, Train Loss: 0.1686, Train Acc: 0.9352, Val Loss: 0.2636, Val Acc: 0.8821\n",
            "Epoch 22/30, Train Loss: 0.1584, Train Acc: 0.9367, Val Loss: 0.1621, Val Acc: 0.9316\n",
            "Epoch 23/30, Train Loss: 0.1555, Train Acc: 0.9390, Val Loss: 0.2397, Val Acc: 0.9248\n",
            "Epoch 24/30, Train Loss: 0.1496, Train Acc: 0.9401, Val Loss: 0.2330, Val Acc: 0.9162\n",
            "Epoch 25/30, Train Loss: 0.1539, Train Acc: 0.9392, Val Loss: 0.3849, Val Acc: 0.8479\n",
            "Epoch 26/30, Train Loss: 0.1539, Train Acc: 0.9395, Val Loss: 0.1461, Val Acc: 0.9350\n",
            "Epoch 27/30, Train Loss: 0.1491, Train Acc: 0.9406, Val Loss: 0.4268, Val Acc: 0.8034\n",
            "Epoch 28/30, Train Loss: 0.1483, Train Acc: 0.9408, Val Loss: 0.1475, Val Acc: 0.9385\n",
            "Epoch 29/30, Train Loss: 0.1470, Train Acc: 0.9433, Val Loss: 0.3302, Val Acc: 0.8752\n",
            "Epoch 30/30, Train Loss: 0.1426, Train Acc: 0.9433, Val Loss: 0.1812, Val Acc: 0.9282\n"
          ]
        }
      ],
      "source": [
        "# Number of epochs\n",
        "EPOCHS = 30\n",
        "\n",
        "# Lists to keep track of losses and accuracies\n",
        "train_losses = []\n",
        "train_accuracies = []\n",
        "val_losses = []\n",
        "val_accuracies = []\n",
        "\n",
        "for epoch in range(EPOCHS):  # loop over the dataset multiple times\n",
        "\n",
        "    # TRAIN\n",
        "    running_loss = 0.0\n",
        "    correct_train = 0\n",
        "    total_train = 0\n",
        "\n",
        "    model.train()  # Set the model to training mode\n",
        "    for i, data in enumerate(train_dataloader):\n",
        "        inputs, labels = data\n",
        "\n",
        "        # Zero the parameter gradients\n",
        "        optimizer.zero_grad()\n",
        "\n",
        "        # Forward pass\n",
        "        outputs = model(inputs) # forward propagation\n",
        "        loss = criterion(outputs, labels) # criterion, or loss function, which is CrossEntropyLoss here\n",
        "        loss.backward() # backward propagation\n",
        "        optimizer.step() # update the weights\n",
        "\n",
        "        # Calculate loss\n",
        "        running_loss += loss.item() # item() gets the scalar value held in the loss\n",
        "\n",
        "        # Calculate accuracy\n",
        "        # finds the index of the maximum value in each row of outputs.data\n",
        "        max_value, predicted = torch.max(outputs.data, 1) # 1 here refers to the column-wise comparison in a batch\n",
        "        # increments total_train by the number of examples in the current batch.\n",
        "        total_train += labels.size(0)\n",
        "        correct_train += (predicted == labels).sum().item()\n",
        "\n",
        "    avg_train_loss = running_loss / (i + 1)\n",
        "    train_losses.append(avg_train_loss)\n",
        "    avg_train_acc = correct_train / total_train\n",
        "    train_accuracies.append(avg_train_acc)\n",
        "\n",
        "    # VALIDATE\n",
        "    model.eval()  # Set the model to evaluation mode\n",
        "    running_loss = 0.0\n",
        "    correct_val = 0\n",
        "    total_val = 0\n",
        "\n",
        "    with torch.no_grad():  # In validation phase we don't need to compute gradients (for memory efficiency)\n",
        "        for i, data in enumerate(val_dataloader):\n",
        "            inputs, labels = data\n",
        "            outputs = model(inputs)\n",
        "            loss = criterion(outputs, labels)\n",
        "            running_loss += loss.item()\n",
        "\n",
        "            # Calculate accuracy\n",
        "            _, predicted = torch.max(outputs.data, 1)\n",
        "            total_val += labels.size(0)\n",
        "            correct_val += (predicted == labels).sum().item()\n",
        "\n",
        "    avg_val_loss = running_loss / (i + 1)\n",
        "    val_losses.append(avg_val_loss)\n",
        "    avg_val_acc = correct_val / total_val\n",
        "    val_accuracies.append(avg_val_acc)\n",
        "\n",
        "    # Print epoch summary\n",
        "    print(f'Epoch {epoch + 1}/{EPOCHS}, Train Loss: {avg_train_loss:.4f}, Train Acc: {avg_train_acc:.4f}, Val Loss: {avg_val_loss:.4f}, Val Acc: {avg_val_acc:.4f}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## [IGNORE] Pickle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {},
      "outputs": [],
      "source": [
        "result_dict = {\n",
        "    \"train_losses\": train_losses, \"train_accuracies\": train_accuracies,\n",
        "    \"val_losses\": val_losses, \"val_accuracies\": val_accuracies\n",
        "}\n",
        "\n",
        "# Serializing the object (saving to a file)\n",
        "with open('pickle_test.pkl', 'wb') as file:\n",
        "    pickle.dump(result_dict, file)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## [LATEST!] Lightening"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The following section refactors the previous code into a OOP framework using PyTorch Lightening."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {},
      "outputs": [],
      "source": [
        "class CNN_L(L.LightningModule):\n",
        "  '''\n",
        "  inspire by Turing award winning LeCun, Bengio and Hinton's paper from 1998\n",
        "  https://ieeexplore.ieee.org/document/726791 (cited more than 25,000 times!!!!!!!!!)\n",
        "  code from https://blog.paperspace.com/writing-lenet5-from-scratch-in-python/\n",
        "  '''\n",
        "  def __init__(self, lr = 0.001, loss_fn = nn.CrossEntropyLoss()):\n",
        "    '''\n",
        "    TODO: hyperparameters:\n",
        "    - learning rate\n",
        "    - loss function (criteria)\n",
        "    '''\n",
        "    super().__init__()\n",
        "    self.save_hyperparameters()\n",
        "    self.lr = lr # learning rate\n",
        "    self.loss_fn = loss_fn # loss function\n",
        "    # The attributes below let us save all of the predictions and actual labels in the class\n",
        "    # when we are ready to evaluate. These are set in predict_all as numpy arrays.\n",
        "    # objects.\n",
        "    self.predictions = None\n",
        "    self.y = None\n",
        "    # The y_score is the \"predicted probability\" as opposed to the prediciton\n",
        "    # This is needed for the ROC-AUC curve\n",
        "    self.y_score = None\n",
        "    # We will save our metrics in a dictionary. The dictioary will be filled on a\n",
        "    # call to evaluate_model ()\n",
        "    self.metrics = {}\n",
        "\n",
        "    self.LeNet = nn.Sequential(\n",
        "        # convolutional layers\n",
        "        nn.Sequential(                                            # FIRST LAYER: (INPUT LAYER)\n",
        "          nn.Conv2d(in_channels = 1, out_channels = 6, kernel_size = 5, stride= 1, padding = 0),    # CONVOLUTION\n",
        "          # Matches the number of output channels from the previous layer.\n",
        "          # This normalizes the output from the convolution layer, stabilizing the learning process.\n",
        "          nn.BatchNorm2d(num_features = 6),\n",
        "          nn.ReLU(),\n",
        "          nn.MaxPool2d(kernel_size = 2, stride = 2)),             # POOLING\n",
        "        nn.Sequential(                                            # SECOND LAYER: HIDDEN LAYER 1\n",
        "          nn.Conv2d(in_channels = 6, out_channels = 16, kernel_size = 5, stride = 1, padding = 0),   # CONVOLUTION\n",
        "          nn.BatchNorm2d(num_features = 16),\n",
        "          nn.ReLU(),\n",
        "          nn.MaxPool2d(kernel_size = 2, stride = 2)),             # POOLING\n",
        "        # fully connected layers\n",
        "        nn.Flatten(),\n",
        "        nn.Linear(in_features = 59536, out_features = 120),                                   # THIRD LAYER: LINEAR YEAR, HIDDEN LAYER 2\n",
        "        nn.ReLU(),                                                # HIDDEN LAYER's ACTIVATION FUNCION\n",
        "        nn.Linear(in_features = 120, out_features = 84),                                       # FOURTH LAYER: LINEAR YEAR, HIDDEN LAYER 3\n",
        "        nn.ReLU(),                                                # HIDDEN LAYER's ACTIVATION FUNCION\n",
        "        # output layer\n",
        "        nn.Linear(in_features = 84, out_features = 2)                                          # OUTPUT LAYER\n",
        "    )\n",
        "\n",
        "  def training_step(self, batch, batch_idx):\n",
        "    '''\n",
        "    This is an inherited method from LightningModule, do not change its name.\n",
        "    \n",
        "    Parameters:\n",
        "    - batch: The output of your data iterable, normally a DataLoader.\n",
        "    - batch_idx: The index of this batch.\n",
        "    '''\n",
        "    logging.debug(f\"currently at {batch_idx}-th batch\")\n",
        "    inputs, labels = batch\n",
        "    outputs = self(inputs)\n",
        "    loss = self.loss_fn(outputs, labels)  \n",
        "    _, predicted = torch.max(outputs, 1)\n",
        "    acc = (predicted == labels).sum().item() / labels.size(0)\n",
        "    logging.debug(f\"prediction = {predicted}, acc = {acc}\")\n",
        "    self.log('train_loss', loss, prog_bar=True)\n",
        "    self.log('train_acc', acc, prog_bar=True)\n",
        "    \n",
        "    return loss\n",
        "\n",
        "  def validation_step(self, batch, batch_idx):\n",
        "    inputs, labels = batch\n",
        "    outputs = self(inputs)\n",
        "    loss = self.loss_fn(outputs, labels)\n",
        "    \n",
        "    _, predicted = torch.max(outputs, 1)\n",
        "    acc = (predicted == labels).sum().item() / labels.size(0)\n",
        "    \n",
        "    self.log('val_loss', loss, prog_bar=True)\n",
        "    self.log('val_acc', acc, prog_bar=True)\n",
        "\n",
        "    return loss\n",
        "\n",
        "  def configure_optimizers(self):\n",
        "    '''\n",
        "    This is an inherited method from LightningModule, do not change its name.\n",
        "    '''\n",
        "    optimizer = optim.SGD(self.parameters(), lr = self.lr, momentum=0.9)\n",
        "    return optimizer\n",
        "\n",
        "  def forward(self, x):\n",
        "    out = self.LeNet(x)\n",
        "    # logging.debug(f\"Input shape: {x.shape}, Output shape: {out.shape}\")\n",
        "    return out\n",
        "\n",
        "  def confusion_matrix(self):\n",
        "    cm = confusion_matrix(self.y, self.predictions)\n",
        "    ConfusionMatrixDisplay(cm).plot()\n",
        "\n",
        "  def roc_curve(self):\n",
        "    # This function returns an roc curve, which graphs the false positive\n",
        "    # and true positive rate.\n",
        "    if self.y is None or self.predictions is None:\n",
        "      self.predict_all()\n",
        "    false_pos_rate, true_pos_rate, thresholds = roc_curve(self.y, self.predictions)\n",
        "    # Plot the curve\n",
        "    plt.plot(false_pos_rate, true_pos_rate)\n",
        "    plt.xlabel('False Positive Rate')\n",
        "    plt.ylabel('True Positive Rate')\n",
        "    plt.title('ROC Curve')\n",
        "    plt.show()\n",
        "\n",
        "  def evaluate_model(self, re_test = False):\n",
        "    '''\n",
        "    '''\n",
        "    if self.predictions is None or self.y is None or re_test is True:\n",
        "      self.predict_all()\n",
        "    # calculate accuracy\n",
        "    total_tests = len(self.y)\n",
        "    got_right = np.sum((self.y == self.predictions))\n",
        "    acc = got_right/total_tests\n",
        "    self.metrics[\"accuracy\"] = acc\n",
        "    # calculate recall\n",
        "    recall = recall_score(self.predictions, self.y)\n",
        "    self.metrics[\"recall\"] = recall\n",
        "    # area under the roc curve\n",
        "    self.metrics[\"auc_roc\"] = roc_auc_score(self.predictions,self.y)\n",
        "\n",
        "    # if re_test or self.predictions is None or self.y is None:\n",
        "    #     self.predict_all()\n",
        "    \n",
        "    # self.metrics[\"accuracy\"] = (self.y == self.predictions).mean()\n",
        "    # self.metrics[\"recall\"] = recall_score(self.y, self.predictions)\n",
        "    # self.metrics[\"auc_roc\"] = roc_auc_score(self.y, self.predictions)\n",
        "\n",
        "  def predict_all(self, data_loader):\n",
        "      self.train()\n",
        "      beta_list = []\n",
        "      y_list= []\n",
        "      y_score_list = []\n",
        "      for i, data in enumerate(data_loader):\n",
        "        x, y = data\n",
        "        outputs = self(x)\n",
        "        max_value, predicted = torch.max(outputs.data, 1)\n",
        "        y_list.append(y)\n",
        "        beta_list.append(predicted)\n",
        "      # We combine each lists (predictions and label) then convert them\n",
        "      # to numpy arrays\n",
        "      self.predictions = torch.cat(beta_list, dim = 0).detach().cpu().numpy()\n",
        "      self.y = torch.cat(y_list, dim = 0).detach().cpu().numpy()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {},
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          "text": [
            "GPU available: False, used: False\n",
            "TPU available: False, using: 0 TPU cores\n",
            "IPU available: False, using: 0 IPUs\n",
            "HPU available: False, using: 0 HPUs\n",
            "\n",
            "  | Name    | Type             | Params\n",
            "---------------------------------------------\n",
            "0 | loss_fn | CrossEntropyLoss | 0     \n",
            "1 | LeNet   | Sequential       | 7.2 M \n",
            "---------------------------------------------\n",
            "7.2 M     Trainable params\n",
            "0         Non-trainable params\n",
            "7.2 M     Total params\n",
            "28.630    Total estimated model params size (MB)\n"
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            "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:492: Your `val_dataloader`'s sampler has shuffling enabled, it is strongly recommended that you turn shuffling off for val/test dataloaders.\n",
            "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:441: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=15` in the `DataLoader` to improve performance.\n",
            "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:441: The 'train_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=15` in the `DataLoader` to improve performance.\n"
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            "`Trainer.fit` stopped: `max_epochs=30` reached.\n",
            "GPU available: False, used: False\n",
            "TPU available: False, using: 0 TPU cores\n",
            "IPU available: False, using: 0 IPUs\n",
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            "\n",
            "  | Name    | Type             | Params\n",
            "---------------------------------------------\n",
            "0 | loss_fn | CrossEntropyLoss | 0     \n",
            "1 | LeNet   | Sequential       | 7.2 M \n",
            "---------------------------------------------\n",
            "7.2 M     Trainable params\n",
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            "7.2 M     Total params\n",
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            "IPU available: False, using: 0 IPUs\n",
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            "  | Name    | Type             | Params\n",
            "---------------------------------------------\n",
            "0 | loss_fn | CrossEntropyLoss | 0     \n",
            "1 | LeNet   | Sequential       | 7.2 M \n",
            "---------------------------------------------\n",
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          "text": [
            "`Trainer.fit` stopped: `max_epochs=30` reached.\n"
          ]
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      "source": [
        "# FIXME\n",
        "lr_candidates = [0.1, 0.01, 0.001, 0.0001]\n",
        "\n",
        "for lr in lr_candidates:\n",
        "    cnn = CNN_L(lr=lr)\n",
        "    trainer = L.Trainer(max_epochs=30)\n",
        "    trainer.fit(model=cnn, train_dataloaders=train_dataloader, val_dataloaders=val_dataloader)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {},
      "outputs": [
        {
          "ename": "TypeError",
          "evalue": "CNN_L.predict_all() missing 1 required positional argument: 'data_loader'",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "Cell \u001b[0;32mIn[67], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mcnn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevaluate_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m cnn\u001b[38;5;241m.\u001b[39mconfusion_matrix()\n\u001b[1;32m      3\u001b[0m cnn\u001b[38;5;241m.\u001b[39mroc_curve()\n",
            "Cell \u001b[0;32mIn[64], line 118\u001b[0m, in \u001b[0;36mCNN_L.evaluate_model\u001b[0;34m(self, re_test)\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[1;32m    116\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[1;32m    117\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpredictions \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39my \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m re_test \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 118\u001b[0m   \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict_all\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    119\u001b[0m \u001b[38;5;66;03m# calculate accuracy\u001b[39;00m\n\u001b[1;32m    120\u001b[0m total_tests \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39my)\n",
            "\u001b[0;31mTypeError\u001b[0m: CNN_L.predict_all() missing 1 required positional argument: 'data_loader'"
          ]
        }
      ],
      "source": [
        "cnn.evaluate_model()\n",
        "cnn.confusion_matrix()\n",
        "cnn.roc_curve()"
      ]
    }
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