{ "cells": [ { "cell_type": "markdown", "id": "62176c4b-a7ca-4add-aae6-05d5ff4b9350", "metadata": {}, "source": [ "# Preprocessing Pipeline\n", "\n", "Builds and validates the full image preprocessing pipeline shared by all model training notebooks and the Streamlit inference app.\n", "\n", "## What this notebook does\n", "1. Defines three custom transforms: grayscale-to-RGB conversion, CLAHE contrast enhancement, and Gaussian blur noise reduction\n", "2. Composes them into `train_transforms` (with augmentation) and `val_test_transforms` (deterministic)\n", "3. Loads datasets with `ImageFolder` and runs a **convolutional autoencoder per class** to identify and remove outlier images\n", "4. Creates `DataLoader`s for all three splits\n", "5. Visualises a sample batch to confirm the pipeline is working correctly\n", "\n", "## Prerequisites\n", "- `Class_Separation.ipynb` must have been run first so that `BACTERIAL_PNEUMONIA/` and `VIRAL_PNEUMONIA/` folders exist under each split\n", "- Dataset must be placed at `datasets/chest_Xray/`" ] }, { "cell_type": "code", "execution_count": 1, "id": "5e171860-d232-42b1-8fd2-5d96879d864e", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: pillow in c:\\users\\noora\\anaconda3\\lib\\site-packages (12.0.0)\n", "Requirement already satisfied: opencv-python in c:\\users\\noora\\anaconda3\\lib\\site-packages (4.13.0.92)\n", "Requirement already satisfied: numpy>=2 in c:\\users\\noora\\anaconda3\\lib\\site-packages (from opencv-python) (2.3.5)\n", "Requirement already satisfied: torch in c:\\users\\noora\\anaconda3\\lib\\site-packages (2.11.0)\n", "Requirement already satisfied: filelock in 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c:\\users\\noora\\anaconda3\\lib\\site-packages (from matplotlib) (25.0)\n", "Requirement already satisfied: pillow>=8 in c:\\users\\noora\\anaconda3\\lib\\site-packages (from matplotlib) (12.0.0)\n", "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\noora\\anaconda3\\lib\\site-packages (from matplotlib) (3.2.5)\n", "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\noora\\anaconda3\\lib\\site-packages (from matplotlib) (2.9.0.post0)\n", "Requirement already satisfied: six>=1.5 in c:\\users\\noora\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib) (1.17.0)\n" ] } ], "source": [ "!pip install pillow\n", "!pip install opencv-python\n", "!pip install torch\n", "!pip install torchvision\n", "!pip install tqdm\n", "!pip install matplotlib" ] }, { "cell_type": "code", "execution_count": 2, "id": "66a5f131-507f-4e2c-8334-3d749423fd5e", "metadata": {}, "outputs": [], "source": [ "import os\n", "import cv2\n", "import numpy as np\n", "import torch\n", "from torchvision import transforms, datasets\n", "from torch.utils.data import DataLoader\n", "from PIL import Image" ] }, { "cell_type": "code", "execution_count": 3, "id": "3a84fea8-6ed7-4b66-b6b6-6792610ce8af", "metadata": {}, "outputs": [], "source": [ "DATA_DIR = \"datasets/chest_Xray\"\n", "IMG_SIZE = 224\n", "BATCH_SIZE = 64" ] }, { "cell_type": "markdown", "id": "8f3cfdbe-441c-40d5-8e62-6660530af78e", "metadata": {}, "source": [ "## Load Data\n", "\n", "Defines and composes the full preprocessing pipeline. Transforms are applied lazily by the `DataLoader` — each image is processed on-the-fly when a batch is requested, not pre-computed to disk.\n", "\n", "The order of operations is significant: grayscale-to-RGB must run before CLAHE (which expects a valid image array), and `Normalize` must always run last after `ToTensor` has converted pixel values from `uint8` to float tensors." ] }, { "cell_type": "markdown", "id": "c332f58e-90f3-4dc9-b632-52da583fc78b", "metadata": {}, "source": [ "### Contrast Enhancement — CLAHE\n", "\n", "**Contrast Limited Adaptive Histogram Equalization (CLAHE)** improves the visibility of lung tissue features in chest X-rays.\n", "\n", "Unlike global histogram equalization, CLAHE divides the image into a grid of tiles (`tileGridSize=(8,8)`) and equalises each tile independently. The `clipLimit=2.0` caps the contrast gain per tile, preventing over-amplification of noise in uniform regions.\n", "\n", "For X-rays this is especially valuable: pathological features such as consolidation and infiltrates appear as subtle density changes that global approaches would either miss or wash out.\n", "\n", "The function converts to grayscale for processing (CLAHE is a single-channel operation), applies enhancement, then converts back to 3-channel RGB — all three channels become identical copies of the enhanced grayscale." ] }, { "cell_type": "code", "execution_count": 4, "id": "c5cb670f-8c33-49a1-9e18-e2b19c7bb517", "metadata": {}, "outputs": [], "source": [ "def apply_clahe(img):\n", " img = np.array(img)\n", "\n", " if len(img.shape) == 3:\n", " img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n", "\n", " clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))\n", " img = clahe.apply(img)\n", "\n", " # Convert back to 3 channels\n", " img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)\n", " return Image.fromarray(img)" ] }, { "cell_type": "code", "execution_count": 5, "id": "c1293710-b758-4154-8438-f28b9a555424", "metadata": {}, "outputs": [], "source": [ "class CLAHETransform:\n", " def __call__(self, img):\n", " return apply_clahe(img)" ] }, { "cell_type": "markdown", "id": "a099f7de-8a04-4c8c-8746-be119b4a67c7", "metadata": {}, "source": [ "### Noise Reduction — Gaussian Blur\n", "\n", "A 3×3 Gaussian blur is applied after CLAHE to suppress high-frequency sensor noise that contrast enhancement can amplify.\n", "\n", "`sigmaX=0` tells OpenCV to auto-compute sigma from the kernel size (≈0.85 for a 3×3 kernel), providing mild smoothing without blurring diagnostically relevant edge detail.\n", "\n", "A `median` option is also implemented for salt-and-pepper noise; it is applied channel-wise to avoid colour artefacts. Gaussian is used by default as it better preserves edge gradients in radiographs." ] }, { "cell_type": "code", "execution_count": 6, "id": "b35fd56b-e032-438e-88f4-7fb482ddbffd", "metadata": {}, "outputs": [], "source": [ "def apply_noise_reduction(img, method=\"gaussian\"):\n", " img_np = np.array(img)\n", " if method == \"gaussian\":\n", " # Gaussian blur: kernel size 3x3, sigma=0 (auto-computed)\n", " img_np = cv2.GaussianBlur(img_np, (3, 3), sigmaX=0)\n", " elif method == \"median\":\n", " # Median filtering: kernel size 3\n", " if len(img_np.shape) == 3:\n", " # Apply channel-wise for RGB\n", " img_np = np.stack(\n", " [cv2.medianBlur(img_np[:, :, c], 3) for c in range(img_np.shape[2])],\n", " axis=2\n", " )\n", " else:\n", " img_np = cv2.medianBlur(img_np, 3)\n", " return Image.fromarray(img_np)" ] }, { "cell_type": "code", "execution_count": 7, "id": "95a3465d-d57c-4e74-bdb6-a138a1ac27b3", "metadata": {}, "outputs": [], "source": [ "class NoiseReductionTransform:\n", " def __init__(self, method=\"gaussian\"):\n", " self.method = method\n", " \n", " def __call__(self, img):\n", " return apply_noise_reduction(img, method=self.method)" ] }, { "cell_type": "markdown", "id": "10e52c58-f33c-401f-b6b8-3b0f64b9109d", "metadata": {}, "source": [ "### Grayscale to RGB Conversion\n", "\n", "Chest X-rays are inherently single-channel (grayscale). All pretrained backbones used in this project (ResNet50, EfficientNet-B4, ConvNeXt) expect 3-channel RGB input because they were pretrained on ImageNet.\n", "\n", "This transform handles two cases:\n", "- **2D array** (pure grayscale, shape `H×W`): duplicates to 3 channels via `cv2.COLOR_GRAY2RGB`\n", "- **3D array with 1 channel** (shape `H×W×1`): uses `np.repeat` to expand to `H×W×3`\n", "\n", "After conversion all three channels are identical. The model learns to operate on this uniform-channel representation during fine-tuning." ] }, { "cell_type": "code", "execution_count": 8, "id": "424ab81d-e09b-46f9-ba58-3664a75af109", "metadata": {}, "outputs": [], "source": [ "class GrayscaleToRGBTransform:\n", " def __call__(self, img):\n", " img = np.array(img)\n", " if len(img.shape) == 2:\n", " # Single-channel grayscale → duplicate to 3 channels\n", " img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)\n", " elif img.shape[2] == 1:\n", " img = np.repeat(img, 3, axis=2)\n", " return Image.fromarray(img)" ] }, { "cell_type": "markdown", "id": "f35f68ed-5e03-4037-9141-e40a65e6bfa0", "metadata": {}, "source": [ "### Transform Pipelines\n", "\n", "Two pipelines are defined:\n", "\n", "**`train_transforms`** — training only, includes random augmentations to improve generalisation:\n", "- `RandomHorizontalFlip`: X-rays can be mirrored without changing pathology\n", "- `RandomRotation(10°)`: accounts for slight patient positioning variation\n", "- `RandomResizedCrop(scale=0.8–1.0)`: simulates zoom variation\n", "\n", "**`val_test_transforms`** — validation, testing, and inference. Identical preprocessing but no randomness, ensuring deterministic and reproducible evaluation.\n", "\n", "Both pipelines end with `ToTensor` and `Normalize` using standard ImageNet statistics `([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])`." ] }, { "cell_type": "code", "execution_count": 9, "id": "3c653d0b-bb22-4f33-80c4-e88cbf7d55ce", "metadata": {}, "outputs": [], "source": [ "train_transforms = transforms.Compose([\n", " GrayscaleToRGBTransform(),\n", " CLAHETransform(),\n", " NoiseReductionTransform(method=\"gaussian\"),\n", " transforms.Resize((IMG_SIZE, IMG_SIZE)),\n", " transforms.RandomHorizontalFlip(),\n", " transforms.RandomRotation(10),\n", " transforms.RandomResizedCrop(IMG_SIZE, scale=(0.8, 1.0)),\n", " transforms.ToTensor(),\n", " transforms.Normalize(mean=[0.485, 0.456, 0.406],\n", " std=[0.229, 0.224, 0.225])\n", "])" ] }, { "cell_type": "code", "execution_count": 10, "id": "fe6c4742-ba1c-49c2-b3eb-b84177f89428", "metadata": {}, "outputs": [], "source": [ "val_test_transforms = transforms.Compose([\n", " GrayscaleToRGBTransform(),\n", " CLAHETransform(),\n", " NoiseReductionTransform(method=\"gaussian\"),\n", " transforms.Resize((IMG_SIZE, IMG_SIZE)),\n", " transforms.ToTensor(),\n", " transforms.Normalize(mean=[0.485, 0.456, 0.406],\n", " std=[0.229, 0.224, 0.225])\n", "])" ] }, { "cell_type": "code", "execution_count": 11, "id": "f9456761-0f0a-4121-ac6f-95b3e32bc517", "metadata": {}, "outputs": [], "source": [ "train_dataset = datasets.ImageFolder(\n", " root=os.path.join(DATA_DIR, \"train\"),\n", " transform=train_transforms\n", ")\n", "\n", "val_dataset = datasets.ImageFolder(\n", " root=os.path.join(DATA_DIR, \"val\"),\n", " transform=val_test_transforms\n", ")\n", "\n", "test_dataset = datasets.ImageFolder(\n", " root=os.path.join(DATA_DIR, \"test\"),\n", " transform=val_test_transforms\n", ")" ] }, { "cell_type": "markdown", "id": "9eca6ba6-b296-4203-93b7-0569406cf988", "metadata": {}, "source": [ "## Identifying and Removing Outliers\n", "\n", "A **convolutional autoencoder** is trained per class to identify images that do not belong — mislabelled scans, corrupted files, or genuinely anomalous cases that would harm training.\n", "\n", "### How it works\n", "1. For each class independently, a small 3-layer encoder/decoder is trained to reconstruct images of that class\n", "2. After training, pixel-level MSE reconstruction error is computed for every image\n", "3. Images in the top percentile of reconstruction error are removed — these are the samples the autoencoder found hardest to reconstruct, and therefore most likely to be outliers\n", "\n", "### Thresholds\n", "| Split | Threshold percentile | Removed |\n", "|---|---|---|\n", "| Train | 95th | Top 5% per class |\n", "| Val / Test | 97th | Top 3% per class |\n", "\n", "Per-class cleaning ensures that a class with legitimately different visual characteristics is not penalised relative to others." ] }, { "cell_type": "code", "execution_count": 12, "id": "fee6945e-c212-4957-8a05-91bbc48dfea5", "metadata": {}, "outputs": [], "source": [ "import torch.nn as nn\n", "from torch.utils.data import Subset\n", "from tqdm import tqdm" ] }, { "cell_type": "code", "execution_count": 13, "id": "540b0cfe-d608-4e7c-aa7a-0d87aad748e9", "metadata": {}, "outputs": [], "source": [ "class ConvAutoencoder(nn.Module):\n", " def __init__(self):\n", " super(ConvAutoencoder, self).__init__()\n", "\n", " self.encoder = nn.Sequential(\n", " nn.Conv2d(3, 16, 3, stride=2, padding=1),\n", " nn.ReLU(),\n", " nn.Conv2d(16, 32, 3, stride=2, padding=1),\n", " nn.ReLU(),\n", " nn.Conv2d(32, 64, 3, stride=2, padding=1),\n", " nn.ReLU()\n", " )\n", "\n", " self.decoder = nn.Sequential(\n", " nn.ConvTranspose2d(64, 32, 3, stride=2, padding=1, output_padding=1),\n", " nn.ReLU(),\n", " nn.ConvTranspose2d(32, 16, 3, stride=2, padding=1, output_padding=1),\n", " nn.ReLU(),\n", " nn.ConvTranspose2d(16, 3, 3, stride=2, padding=1, output_padding=1),\n", " nn.Sigmoid()\n", " )\n", "\n", " def forward(self, x):\n", " return self.decoder(self.encoder(x))" ] }, { "cell_type": "code", "execution_count": 14, "id": "b1f35a23-aea5-44d9-8170-89759c5eeeec", "metadata": {}, "outputs": [], "source": [ "def clean_dataset_with_autoencoder(dataset, epochs=3, threshold_percentile=95):\n", " device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "\n", " all_indices_to_keep = []\n", " targets = np.array(dataset.targets)\n", "\n", " for cls in np.unique(targets):\n", " print(f\"\\nProcessing class {cls}...\")\n", "\n", " cls_indices = np.where(targets == cls)[0]\n", " subset = Subset(dataset, cls_indices)\n", "\n", " loader = DataLoader(subset, batch_size=BATCH_SIZE, shuffle=True)\n", "\n", " model = ConvAutoencoder().to(device)\n", " criterion = nn.MSELoss()\n", " optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)\n", "\n", " # ---- TRAIN ----\n", " model.train()\n", " for epoch in range(epochs):\n", " total_loss = 0\n", " loop = tqdm(loader, desc=f\"Class {cls} | Epoch {epoch+1}/{epochs}\", leave=False)\n", "\n", " for imgs, _ in loop:\n", " imgs = imgs.to(device)\n", "\n", " outputs = model(imgs)\n", " loss = criterion(outputs, imgs)\n", "\n", " optimizer.zero_grad()\n", " loss.backward()\n", " optimizer.step()\n", "\n", " total_loss += loss.item()\n", " loop.set_postfix(loss=loss.item())\n", "\n", " print(f\"Class {cls} Epoch {epoch+1}, Total Loss: {total_loss:.4f}\")\n", "\n", " # ---- ERROR COMPUTATION ----\n", " model.eval()\n", " errors = []\n", "\n", " with torch.no_grad():\n", " for imgs, _ in tqdm(loader, desc=f\"Error calc (Class {cls})\", leave=False):\n", " imgs = imgs.to(device)\n", " outputs = model(imgs)\n", "\n", " batch_errors = torch.mean((imgs - outputs) ** 2, dim=[1,2,3])\n", " errors.extend(batch_errors.cpu().numpy())\n", "\n", " errors = np.array(errors)\n", "\n", " threshold = np.percentile(errors, threshold_percentile)\n", " keep_mask = errors < threshold\n", " keep_indices = cls_indices[keep_mask]\n", "\n", " print(f\"Class {cls}: removed {len(cls_indices) - len(keep_indices)} samples\")\n", "\n", " all_indices_to_keep.extend(keep_indices.tolist())\n", "\n", " all_indices_to_keep = sorted(all_indices_to_keep)\n", "\n", " dataset.samples = [dataset.samples[i] for i in all_indices_to_keep]\n", " dataset.targets = [dataset.targets[i] for i in all_indices_to_keep]\n", "\n", " return dataset" ] }, { "cell_type": "markdown", "id": "2609f51c-a27b-480f-8678-5f60dd917d9d", "metadata": {}, "source": [ "## Dataset Balancing" ] }, { "cell_type": "code", "execution_count": 15, "id": "099a0878-bff7-46b8-a63e-030e77b7016a", "metadata": {}, "outputs": [], "source": [ "from torch.utils.data import Subset\n", "import numpy as np\n", "\n", "def balance_dataset(dataset, strategy=\"undersample\"):\n", " \"\"\"\n", " strategy:\n", " - \"undersample\" → reduce majority class\n", " - \"oversample\" → duplicate minority classes (not recommended here)\n", " \"\"\"\n", "\n", " targets = np.array(dataset.targets)\n", " classes, counts = np.unique(targets, return_counts=True)\n", "\n", " print(\"Before balancing:\", dict(zip(classes, counts)))\n", "\n", " if strategy == \"undersample\":\n", " min_count = min(counts)\n", "\n", " keep_indices = []\n", "\n", " for cls in classes:\n", " cls_indices = np.where(targets == cls)[0]\n", " selected = np.random.choice(cls_indices, min_count, replace=False)\n", " keep_indices.extend(selected)\n", "\n", " elif strategy == \"oversample\":\n", " max_count = max(counts)\n", "\n", " keep_indices = []\n", "\n", " for cls in classes:\n", " cls_indices = np.where(targets == cls)[0]\n", "\n", " if len(cls_indices) < max_count:\n", " selected = np.random.choice(\n", " cls_indices,\n", " max_count,\n", " replace=True\n", " )\n", " else:\n", " selected = cls_indices\n", "\n", " keep_indices.extend(selected)\n", "\n", " keep_indices = sorted(keep_indices)\n", "\n", " dataset.samples = [dataset.samples[i] for i in keep_indices]\n", " dataset.targets = [dataset.targets[i] for i in keep_indices]\n", "\n", " print(\"After balancing:\", dict(zip(*np.unique(dataset.targets, return_counts=True))))\n", "\n", " return dataset" ] }, { "cell_type": "code", "execution_count": 16, "id": "5bdce40a-fd50-4a08-bafc-0f1cec94f990", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cleaning datasets using autoencoder...\n", "\n", "Processing class 0...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 1, Total Loss: 32.3239\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 2, Total Loss: 22.5396\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 3, Total Loss: 17.9660\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0: removed 127 samples\n", "\n", "Processing class 1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 1, Total Loss: 23.1804\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 2, Total Loss: 16.7398\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 3, Total Loss: 14.9110\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1: removed 68 samples\n", "\n", "Processing class 2...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 1, Total Loss: 22.6165\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 2, Total Loss: 16.2548\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 3, Total Loss: 12.5712\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2: removed 68 samples\n", "\n", "Processing class 0...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 1, Total Loss: 1.0953\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 2, Total Loss: 1.0946\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0: removed 2 samples\n", "\n", "Processing class 1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 1, Total Loss: 1.3881\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 2, Total Loss: 1.3874\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1: removed 2 samples\n", "\n", "Processing class 2...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 1, Total Loss: 1.2858\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 2, Total Loss: 1.2850\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2: removed 2 samples\n", "\n", "Processing class 0...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 1, Total Loss: 4.2332\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0 Epoch 2, Total Loss: 4.1964\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 0: removed 8 samples\n", "\n", "Processing class 1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 1, Total Loss: 5.4778\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1 Epoch 2, Total Loss: 5.4484\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 1: removed 8 samples\n", "\n", "Processing class 2...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 1, Total Loss: 4.0050\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2 Epoch 2, Total Loss: 3.9968\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " " ] }, { "name": "stdout", "output_type": "stream", "text": [ "Class 2: removed 5 samples\n", "\n", "Balancing train dataset...\n", "Before balancing: {np.int64(0): np.int64(2403), np.int64(1): np.int64(1273), np.int64(2): np.int64(1277)}\n", "After balancing: {np.int64(0): np.int64(1273), np.int64(1): np.int64(1273), np.int64(2): np.int64(1273)}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [] } ], "source": [ "print(\"Cleaning datasets using autoencoder...\")\n", "\n", "train_dataset = clean_dataset_with_autoencoder(train_dataset, epochs=3, threshold_percentile=95)\n", "val_dataset = clean_dataset_with_autoencoder(val_dataset, epochs=2, threshold_percentile=97)\n", "test_dataset = clean_dataset_with_autoencoder(test_dataset, epochs=2, threshold_percentile=97)\n", "\n", "print(\"\\nBalancing train dataset...\")\n", "train_dataset = balance_dataset(train_dataset, strategy=\"undersample\")" ] }, { "cell_type": "markdown", "id": "d0ded059-2b5b-462a-bbe5-bd8efc219568", "metadata": {}, "source": [ "## DataLoader Preparation\n", "\n", "Wraps the cleaned datasets in PyTorch `DataLoader`s for batched iteration during training.\n", "\n", "- **Train loader**: `shuffle=True` randomises batch composition each epoch. Uses `num_workers=0` to avoid multiprocessing conflicts — the autoencoder cleaning step modifies `dataset.samples` in-place, which can cause issues with forked worker processes\n", "- **Val / Test loaders**: `shuffle=False` for deterministic, reproducible evaluation metrics. Uses all available CPU cores (`os.cpu_count()`) for faster data loading\n", "- **Batch size**: 64 for all loaders" ] }, { "cell_type": "code", "execution_count": 17, "id": "032f38a7-30ff-4ba5-a73d-259908154713", "metadata": {}, "outputs": [], "source": [ "my_num_workers = os.cpu_count()\n", "\n", "train_loader = DataLoader(\n", " train_dataset,\n", " batch_size=BATCH_SIZE,\n", " shuffle=True,\n", " num_workers=0\n", ")\n", "\n", "val_loader = DataLoader(\n", " val_dataset,\n", " batch_size=BATCH_SIZE,\n", " shuffle=False,\n", " num_workers=0\n", ")\n", "\n", "test_loader = DataLoader(\n", " test_dataset,\n", " batch_size=BATCH_SIZE,\n", " shuffle=False,\n", " num_workers=0\n", ")" ] }, { "cell_type": "code", "execution_count": 18, "id": "29a68cf8-3d4a-4fbc-8f1b-e168db0ef698", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Classes: ['BACTERIAL_PNEUMONIA', 'NORMAL', 'VIRAL_PNEUMONIA']\n", "Train size: 3819\n", "Validation size: 186\n", "Test size: 604\n" ] } ], "source": [ "print(\"Classes:\", train_dataset.classes)\n", "print(\"Train size:\", len(train_dataset))\n", "print(\"Validation size:\", len(val_dataset))\n", "print(\"Test size:\", len(test_dataset))" ] }, { "cell_type": "markdown", "id": "ec2bbb58-8f1a-45bb-bb01-a46e324d9586", "metadata": {}, "source": [ "## Visualise Preprocessing Output\n", "\n", "Displays a batch of 6 training images after all transforms have been applied. Pixel values are partially denormalised before display using the first channel's mean/std (all three channels are identical after the grayscale-to-RGB step).\n", "\n", "Use this cell to verify:\n", "- Images load from the correct class folders\n", "- CLAHE and Gaussian blur effects are visible (enhanced contrast, slight smoothing)\n", "- No obviously corrupted or mismatched images appear\n", "- Augmentations (flips, rotations, crops) produce visible variation across the 6 samples" ] }, { "cell_type": "code", "execution_count": 19, "id": "ef669fbd-0acb-43d8-a7dd-8eadd78cdc7e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..1.0376734].\n", "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..1.0815775].\n", "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..1.0696037].\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "def show_batch(loader):\n", " images, labels = next(iter(loader))\n", " images = images[:6]\n", "\n", " fig, axes = plt.subplots(1, 6, figsize=(15,5))\n", " for i in range(6):\n", " img = images[i].permute(1,2,0).numpy()\n", " img = (img * 0.229) + 0.485 # denormalize\n", " axes[i].imshow(img)\n", " axes[i].axis('off')\n", "\n", " plt.show()\n", "\n", "show_batch(train_loader)" ] }, { "cell_type": "markdown", "id": "6660d06f-bb64-4296-8aa5-adf060ffaebc", "metadata": {}, "source": [ "## Verifying Dataset Balance" ] }, { "cell_type": "code", "execution_count": 20, "id": "fd008cb7-0838-4b71-9e1b-6e1377ecf325", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🔹 Train Dataset\n", "Class Distribution:\n", "\n", "BACTERIAL_PNEUMONIA: 1273 (33.33%)\n", "NORMAL: 1273 (33.33%)\n", "VIRAL_PNEUMONIA: 1273 (33.33%)\n", "\n", "🔹 Test Dataset\n", "Class Distribution:\n", "\n", "BACTERIAL_PNEUMONIA: 234 (38.74%)\n", "NORMAL: 227 (37.58%)\n", "VIRAL_PNEUMONIA: 143 (23.68%)\n", "🔹 Validation Dataset\n", "Class Distribution:\n", "\n", "BACTERIAL_PNEUMONIA: 62 (33.33%)\n", "NORMAL: 62 (33.33%)\n", "VIRAL_PNEUMONIA: 62 (33.33%)\n" ] } ], "source": [ "from collections import Counter\n", "\n", "def get_class_distribution(dataset, class_names):\n", " counts = Counter(dataset.targets)\n", " total = sum(counts.values())\n", "\n", " print(\"Class Distribution:\\n\")\n", " for i, name in enumerate(class_names):\n", " count = counts[i]\n", " percentage = (count / total) * 100\n", " print(f\"{name}: {count} ({percentage:.2f}%)\")\n", "\n", "# Train\n", "print(\"🔹 Train Dataset\")\n", "get_class_distribution(train_loader.dataset, train_loader.dataset.classes)\n", "\n", "# Test\n", "print(\"\\n🔹 Test Dataset\")\n", "get_class_distribution(test_loader.dataset, test_loader.dataset.classes)\n", "\n", "# Validation\n", "print(\"🔹 Validation Dataset\")\n", "get_class_distribution(val_loader.dataset, val_loader.dataset.classes)" ] } ], "metadata": { "kernelspec": { "display_name": "Python (torch_gpu)", "language": "python", "name": "torch_gpu" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.13" } }, "nbformat": 4, "nbformat_minor": 5 }