{ "cells": [ { "cell_type": "code", "execution_count": 2, "id": "d24d903c", "metadata": {}, "outputs": [], "source": [ "import os\n", "import random\n", "from matplotlib import pyplot as plt\n", "import cv2\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "from keras.utils import image_dataset_from_directory\n", "from keras.models import Sequential\n", "from keras.layers import Rescaling, Conv2D, MaxPooling2D, Flatten, Dense, BatchNormalization, Activation, Dropout\n", "from keras.metrics import Precision, Recall\n", "\n", "import keras_tuner as kt\n", "from keras.optimizers import Adam\n", "from keras.callbacks import EarlyStopping" ] }, { "cell_type": "code", "execution_count": 3, "id": "bb7a4955", "metadata": {}, "outputs": [], "source": [ "top_dir = 'C:/Users/coco/Untitled Folder'\n", "train_dir = top_dir + '/train'\n", "test_dir = top_dir + '/test'\n", "\n", "train_real = os.listdir(train_dir + '/REAL')\n", "train_fake = os.listdir(train_dir + '/FAKE')" ] }, { "cell_type": "code", "execution_count": 4, "id": "36f4f987", "metadata": {}, "outputs": [], "source": [ "# Plot k-number of images from the dataset\n", "\n", "def plot_im(directory, k):\n", "\n", " files = os.listdir(directory)\n", " im = random.choices(files, k = k)\n", "\n", " fig = plt.figure()\n", "\n", " for i in range(k):\n", " im_i = cv2.imread(directory + im[i])\n", " fig.add_subplot(int(np.sqrt(k)), int(np.sqrt(k)), i + 1)\n", " plt.imshow(im_i)\n", " plt.axis('off')\n", " \n", " return plt" ] }, { "cell_type": "code", "execution_count": 5, "id": "6b1efe2c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "real_im = plot_im(directory = train_dir + '/REAL/', k = 9)" ] }, { "cell_type": "code", "execution_count": 6, "id": "7ff6d9bc", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fake_im = plot_im(directory = train_dir + '/FAKE/', k = 9)" ] }, { "cell_type": "code", "execution_count": 7, "id": "0d882fc1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found 100000 files belonging to 2 classes.\n", "Found 20000 files belonging to 2 classes.\n" ] } ], "source": [ "# Generate tf datasets\n", "\n", "train = image_dataset_from_directory(\n", " train_dir,\n", " label_mode = 'binary',\n", " image_size = (32, 32)\n", ")\n", "\n", "test = image_dataset_from_directory(\n", " test_dir,\n", " label_mode = 'binary',\n", " image_size = (32, 32)\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "e1636263", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/5\n", "\u001b[1m2104/3125\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m18s\u001b[0m 18ms/step - accuracy: 0.8430 - loss: 0.3550 - precision: 0.8404 - recall: 0.8445" ] } ], "source": [ "simple_model = Sequential([\n", " Rescaling(scale = 1./255),\n", " Conv2D(filters = 64, kernel_size = 3, activation = 'relu'),\n", " MaxPooling2D(),\n", " Conv2D(filters = 64, kernel_size = 3, activation = 'relu'),\n", " MaxPooling2D(),\n", " Flatten(),\n", " Dense(units = 64),\n", " BatchNormalization(),\n", " Activation('relu'),\n", " Dense(units = 1, activation = 'sigmoid')\n", "])\n", "\n", "simple_model.compile(\n", " optimizer = 'adam',\n", " loss = 'binary_crossentropy',\n", " metrics = ['accuracy', Precision(), Recall()]\n", ")\n", "\n", "simple_model.fit(train, validation_data = test, epochs = 5)" ] }, { "cell_type": "code", "execution_count": null, "id": "dd7677ca", "metadata": {}, "outputs": [], "source": [ "# Hyperparameter tuning with keras_tuner\n", "\n", "def model_builder(hp):\n", " \n", " # Hyperparameters\n", " dense_units = hp.Int('dense_units', min_value = 16, max_value = 128, step = 16)\n", " conv2d_filters_0 = hp.Int('conv_filters_0', min_value = 16, max_value = 128, step = 16)\n", " conv2d_filters_1 = hp.Int('conv_filters_1', min_value = 16, max_value = 128, step = 16)\n", " dropout_rate = hp.Int('dropout_rate', min_value = 0, max_value = 5, step = 1)\n", " learning_rate = hp.Choice('learning_rate', values = [1e-2, 1e-3, 1e-4])\n", " \n", " model = Sequential([\n", " Rescaling(scale = 1./255),\n", " Conv2D(filters = conv2d_filters_0, kernel_size = 3, activation = 'relu'),\n", " MaxPooling2D(),\n", " Conv2D(filters = conv2d_filters_1, kernel_size = 3, activation = 'relu'),\n", " MaxPooling2D(),\n", " Dropout(rate = dropout_rate/10),\n", " Flatten(),\n", " Dense(units = dense_units),\n", " BatchNormalization(),\n", " Activation('relu'),\n", " Dense(units = 1, activation = 'sigmoid')\n", " ])\n", " \n", " model.compile(\n", " optimizer = Adam(learning_rate = learning_rate),\n", " loss = 'binary_crossentropy',\n", " metrics = ['accuracy', Precision(), Recall()]\n", " )\n", " \n", " return model" ] }, { "cell_type": "code", "execution_count": null, "id": "e326f9ca", "metadata": {}, "outputs": [], "source": [ "# Optimize model for validation accuracy\n", "\n", "stop_early = EarlyStopping(monitor = 'val_accuracy', patience = 3)\n", "\n", "tuner = kt.Hyperband(\n", " hypermodel = model_builder,\n", " objective = 'val_accuracy',\n", " max_epochs = 10,\n", " factor = 3,\n", " directory = 'tuning',\n", " overwrite = True\n", ")\n", "\n", "tuner.search(\n", " train,\n", " validation_data = test,\n", " callbacks = [stop_early]\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "7729e909", "metadata": {}, "outputs": [], "source": [ "optimal_hps = tuner.get_best_hyperparameters()[0]\n", "model = tuner.hypermodel.build(optimal_hps)\n", "\n", "history = model.fit(\n", " train,\n", " validation_data = test,\n", " epochs = 20,\n", " callbacks = [stop_early]\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "046ad861", "metadata": {}, "outputs": [], "source": [ "model.summary()\n", "model.save('AIdetect.h5')\n", "model.save('my_model.keras')" ] }, { "cell_type": "code", "execution_count": null, "id": "c38bc7bf", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 5 }