main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Brain tumor detection using VGG16\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-02-21 15:14:49.851704: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-02-21 15:14:49.851753: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-02-21 15:14:49.852680: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2024-02-21 15:14:49.859873: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2024-02-21 15:14:50.619467: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "os.environ['CUDA_VISIBLE_DEVICES'] = '-1'  # Disable GPU usage for TensorFlow\n",
    "\n",
    "# TensorFlow and Keras imports\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Flatten, Dropout, Dense, BatchNormalization\n",
    "from tensorflow.keras.optimizers import RMSprop\n",
    "from tensorflow.keras.applications import VGG16\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "# Local module imports\n",
    "from src.load_data import *\n",
    "from src.img_processing import *\n",
    "from src.convert import *\n",
    "from src.img_processing import process_folder_for_cropping, check_folder_cropping_quality\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Configure image size by pixels\n",
    "height = 224 #(px)\n",
    "width = 224 #(px)\n",
    "\n",
    "train_path_raw_yes = \"data/train/yes/\"\n",
    "train_path_raw_no = \"data/train/no/\"\n",
    "\n",
    "train_path_yes= \"processed_data/train/yes/\" # output folder for train data\n",
    "train_path_no = \"processed_data/train/no/\" # output folder for train data\n",
    "\n",
    "train_path = \"processed_data/train\" # output folder for train data\n",
    "\n",
    "test_path_raw_yes = \"data/test/yes/\"\n",
    "test_path_raw_no = \"data/test/no/\"\n",
    "\n",
    "test_path_yes = \"processed_data/test/yes/\" # output folder for test data\n",
    "test_path_no = \"processed_data/test/no/\" # output folder for test data\n",
    "\n",
    "test_path = \"processed_data/test/\" # output folder for test data\n",
    "\n",
    "val_path_raw_yes = \"data/val/yes/\"\n",
    "val_path_raw_no = \"data/val/no/\"   \n",
    "\n",
    "val_path_yes = \"processed_data/val/yes/\" # output folder for val data\n",
    "val_path_no = \"processed_data/val/no/\" # output folder for val data\n",
    "\n",
    "val_path = \"processed_data/val\" # output folder for val data\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Processed and saved: processed_data/val/no/48 no.jpeg\n",
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      "Processed N23.jpg\n"
     ]
    }
   ],
   "source": [
    "process_folder_for_cropping(train_path_raw_yes, train_path_yes, width, height)\n",
    "process_folder_for_cropping(train_path_raw_no, train_path_no, width, height)\n",
    "\n",
    "process_folder_for_cropping(test_path_raw_yes, test_path_yes, width, height)\n",
    "process_folder_for_cropping(test_path_raw_no, test_path_no, width, height) \n",
    "\n",
    "process_folder_for_cropping(val_path_raw_yes, val_path_yes, width, height)\n",
    "process_folder_for_cropping(val_path_raw_no, val_path_no, width, height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of images loaded: 89\n",
      "Total number of labels loaded: 89\n"
     ]
    }
   ],
   "source": [
    "test_path = \"processed_data/test/\"  # Adjusted path for processed data\n",
    "images, labels = load_data(test_path)\n",
    "\n",
    "print(\"Total number of images loaded:\", len(images))\n",
    "print(\"Total number of labels loaded:\", len(labels))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nombre total d'images chargées : 89\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "load_data(test_path)\n",
    "plt.imshow(images[12])\n",
    "plt.title(f\"label : {labels[12]}\")\n",
    "\n",
    "print(\"Nombre total d'images chargées :\", len(images))\n",
    "# print(\"Nombre total de labels chargés :\", len(labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Charger les données de test\n",
    "test_images, test_labels = load_data(test_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-02-21 15:14:55.988906: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:274] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " vgg16 (Functional)          (None, 7, 7, 512)         14714688  \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 25088)             0         \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 25088)             0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 1)                 25089     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 14739777 (56.23 MB)\n",
      "Trainable params: 25089 (98.00 KB)\n",
      "Non-trainable params: 14714688 (56.13 MB)\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "2/2 [==============================] - 17s 13s/step - loss: 0.5881 - accuracy: 0.7656 - val_loss: 0.4804 - val_accuracy: 0.8090\n",
      "Epoch 2/10\n",
      "2/2 [==============================] - 17s 14s/step - loss: 0.6213 - accuracy: 0.7544 - val_loss: 0.4786 - val_accuracy: 0.8090\n",
      "Epoch 3/10\n",
      "2/2 [==============================] - 16s 12s/step - loss: 0.6551 - accuracy: 0.7719 - val_loss: 0.4792 - val_accuracy: 0.8090\n",
      "Epoch 4/10\n",
      "2/2 [==============================] - 16s 13s/step - loss: 0.5577 - accuracy: 0.7544 - val_loss: 0.4787 - val_accuracy: 0.8090\n",
      "Epoch 5/10\n",
      "2/2 [==============================] - 15s 12s/step - loss: 0.5600 - accuracy: 0.8070 - val_loss: 0.4823 - val_accuracy: 0.8090\n",
      "Epoch 6/10\n",
      "2/2 [==============================] - 17s 13s/step - loss: 0.5576 - accuracy: 0.7500 - val_loss: 0.4824 - val_accuracy: 0.8090\n",
      "Epoch 7/10\n",
      "2/2 [==============================] - 15s 12s/step - loss: 0.5563 - accuracy: 0.7719 - val_loss: 0.4781 - val_accuracy: 0.8090\n",
      "Epoch 8/10\n",
      "2/2 [==============================] - ETA: 0s - loss: 0.4928 - accuracy: 0.8596"
     ]
    }
   ],
   "source": [
    "base_model = VGG16(include_top=False, input_shape=(224, 224, 3))\n",
    "\n",
    "NUM_CLASSES = 1\n",
    "\n",
    "model = Sequential()\n",
    "model.add(base_model)\n",
    "model.add(Flatten())\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(NUM_CLASSES, activation='sigmoid'))\n",
    "\n",
    "# Figer les poids du modèle VGG16\n",
    "model.layers[0].trainable = False\n",
    "\n",
    "# Compiler le modèle\n",
    "model.compile(\n",
    "    loss='binary_crossentropy',\n",
    "    optimizer=RMSprop(learning_rate=1e-4),\n",
    "    metrics=['accuracy']\n",
    ")\n",
    "\n",
    "# Afficher la structure du modèle\n",
    "model.summary()\n",
    "\n",
    "# Créer un générateur d'images pour la data augmentation\n",
    "datagen = ImageDataGenerator(\n",
    "    rotation_range=15,\n",
    "    width_shift_range=0.05,\n",
    "    height_shift_range=0.05,\n",
    "    rescale=1./255,\n",
    "    shear_range=0.05,\n",
    "    brightness_range=[0.1, 1.5],\n",
    "    horizontal_flip=True,\n",
    "    vertical_flip=True\n",
    ")\n",
    "\n",
    "# Ajuster le générateur aux données d'entraînement\n",
    "datagen.fit(images)\n",
    "\n",
    "# Entraîner le modèle avec l'augmentation de données\n",
    "model.fit(datagen.flow(images, labels, batch_size=32),\n",
    "          epochs=10,\n",
    "          steps_per_epoch=len(images) // 32,\n",
    "          validation_data=(test_images, test_labels))\n",
    "\n",
    "# Évaluer le modèle sur les données de test\n",
    "test_loss, test_accuracy = model.evaluate(test_images, test_labels)\n",
    "print(f'Test Loss: {test_loss}, Test Accuracy: {test_accuracy}')"
   ]
  }
 ],
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