diff --git a/3_deepfakedetection_utilimateTestWildDeepfakes.ipynb b/3_deepfakedetection_utilimateTestWildDeepfakes.ipynb deleted file mode 100644 index bf94641..0000000 --- a/3_deepfakedetection_utilimateTestWildDeepfakes.ipynb +++ /dev/null @@ -1,5417 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "3_deepfakedetection_utilimateTestWildDeepfakes.ipynb", - "provenance": [], - "collapsed_sections": [], - "toc_visible": true, - "machine_shape": "hm", - "authorship_tag": "ABX9TyP9XyD1lAIKjT1oImCfvxfr", - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU" - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "**This is a notebook for using all trained models for final testing to check its effectiveness of classifying real videos or deepfake videos in the wild**" - ], - "metadata": { - "id": "n6rUGKi5s5fy" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Step 1 - In a new Google Colab notebook, turn on GPU in runtime" - ], - "metadata": { - "id": "OgLs-M7aCeFu" - } - }, - { - "cell_type": "code", - "metadata": { - "id": "OT_CTk8DAHt7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "0beab84b-6e91-4c6c-8999-49a25d926105" - }, - "source": [ - "# Check GPU information \n", - "gpu_info = !nvidia-smi\n", - "gpu_info = '\\n'.join(gpu_info)\n", - "if gpu_info.find('failed') >= 0:\n", - " print('Not connected to a GPU')\n", - "else:\n", - " print(gpu_info)" - ], - "execution_count": 1, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Thu Dec 9 09:18:13 2021 \n", - "+-----------------------------------------------------------------------------+\n", - "| NVIDIA-SMI 495.44 Driver Version: 460.32.03 CUDA Version: 11.2 |\n", - "|-------------------------------+----------------------+----------------------+\n", - "| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n", - "| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n", - "| | | MIG M. |\n", - "|===============================+======================+======================|\n", - "| 0 Tesla P100-PCIE... Off | 00000000:00:04.0 Off | 0 |\n", - "| N/A 35C P0 26W / 250W | 0MiB / 16280MiB | 0% Default |\n", - "| | | N/A |\n", - "+-------------------------------+----------------------+----------------------+\n", - " \n", - "+-----------------------------------------------------------------------------+\n", - "| Processes: |\n", - "| GPU GI CI PID Type Process name GPU Memory |\n", - "| ID ID Usage |\n", - "|=============================================================================|\n", - "| No running processes found |\n", - "+-----------------------------------------------------------------------------+\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "SU20N0DnnQu8" - }, - "source": [ - "## Step 2 - Upload the video and model to Google Drive\n", - "\n", - "Create several folders in [Google Drive](https://drive.google.com/drive/my-drive) \n", - "\n", - "Save the videos (.mp4) and model (.h5) inside the following three folders:\n", - "\n", - "* My Drive/MyVideo/Real/yourrealvideo.mp4\n", - "* My Drive/MyVideo/Fake/yourfakevideo.mp4\n", - "* My Drive/MyModel/my_ResNet152V2.h5\n", - "\n", - "Also create the following folders for keeping the frames and chopped faces during image processing.\n", - "\n", - "* My Drive/MyVideo/Frames/Real/realframestobecreated.jpg\n", - "* My Drive/MyVideo/Frames/Fake/fakeframestobecreated.jpg\n", - "* My Drive/MyVideo/Faces/Real/realfacestobecreated.jpg\n", - "* My Drive/MyVideo/Faces/Fake/fakefacestobecreated.jpg" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "W9IUSOouDOp4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "0ad64cc1-8a65-45af-bd41-d6a2633d4a77" - }, - "source": [ - "# Confirm Google Drive is connected with Google Colab\n", - "google = !if [ -d 'GDrive/' ]; then echo \"1\" ; else echo \"0\"; fi\n", - "if (google[0] is '0' ):\n", - " from google.colab import drive\n", - " drive.mount('/content/GDrive/')\n", - " \n", - "!if [ -d 'GDrive/' ]; then echo \"Connection to Google drive successful\" ; else echo \"Error to connect to Google drive\"; fi" - ], - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Mounted at /content/GDrive/\n", - "Connection to Google drive successful\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# List the video files and model in Google drive which are to be transferred to a temporary directory in Google Colab\n", - "!ls GDrive/My\\ Drive/MyVideo/Real/\n", - "!ls GDrive/My\\ Drive/MyVideo/Fake/\n", - "!ls GDrive/My\\ Drive/MyModel/" - ], - "metadata": { - "id": "KaVBveuLTfvL", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "1940eecd-6233-44c1-fe06-4c805986a160" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_1.mp4 EM_1.mp4 JL_1.mp4 QE_1.mp4\tTC_1.mp4\n", - "BO_0.mp4 EM_0.mp4 JL_0.mp4 QE_0.mp4\tTC_0.mp4\n", - "my_DenseNet.h5\t my_InceptionResNetModel.h5 my_VGG19.h5\n", - "my_EfficientNetB3.h5 my_MobileNetModel.h5\t my_Xeception.h5\n", - "my_EfficientNetB7.h5 my_NASNetMobile.h5\n", - "my_InceptionNetV3.h5 my_ResNet152V2.h5\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 3 - Create a temporary directory in Google Colab. Copy the mp4 files and the model from your Google Drive to Google Colab" - ], - "metadata": { - "id": "LFbL-cbpsE7D" - } - }, - { - "cell_type": "code", - "source": [ - "# Set up environment and import libraries in Google Colab\n", - "!pip install --upgrade pip > /dev/null\n", - "!pip install scikit-image\n", - "!pip install opencv-python" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "BS2ceu-ea0aU", - "outputId": "285ffbf1-6bb2-4eec-f0d0-5f7d49e5af07" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: scikit-image in /usr/local/lib/python3.7/dist-packages (0.18.3)\n", - "Requirement already satisfied: PyWavelets>=1.1.1 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (1.2.0)\n", - "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (2.6.3)\n", - "Requirement already satisfied: scipy>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (1.4.1)\n", - "Requirement already satisfied: pillow!=7.1.0,!=7.1.1,>=4.3.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (7.1.2)\n", - "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (3.2.2)\n", - "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (1.19.5)\n", - "Requirement already satisfied: tifffile>=2019.7.26 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (2021.11.2)\n", - "Requirement already satisfied: imageio>=2.3.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image) (2.4.1)\n", - "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (2.8.2)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (3.0.6)\n", - "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (0.11.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.3.2)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.15.0)\n", - "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n", - "Requirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (4.1.2.30)\n", - "Requirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from opencv-python) (1.19.5)\n", - "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n" - ] - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "-udQp7imnVwc" - }, - "source": [ - "# Import libraries and modules in Google Colab\n", - "import cv2\n", - "from skimage.transform import resize\n", - "import matplotlib.pyplot as plt\n", - "import math\n", - "import os " - ], - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Make a temporarty directory in Google colab\n", - "!mkdir -p /content/DetectionTest/Sources/Real > /dev/null\n", - "!mkdir -p /content/DetectionTest/Sources/Fake > /dev/null\n", - "!mkdir -p /content/DetectionTest/Sources/frames/real > /dev/null\n", - "!mkdir -p /content/DetectionTest/Sources/frames/fake > /dev/null\n", - "!mkdir -p /content/DetectionTest/Sources/faces/real > /dev/null\n", - "!mkdir -p /content/DetectionTest/Sources/faces/fake > /dev/null\n", - "!mkdir -p /content/DetectionTest/Model > /dev/null\n", - "\n", - "# copy video stored in Google Drive to Google Colab\n", - "!cp GDrive/My\\ Drive/MyVideo/Real/*.mp4 DetectionTest/Sources/Real/\n", - "!cp GDrive/My\\ Drive/MyVideo/Fake/*.mp4 DetectionTest/Sources/Fake/\n", - "\n", - "# copy model stored in Google Drive to Google Colab\n", - "!cp GDrive/My\\ Drive/MyModel/*.h5 DetectionTest/Model/\n", - "\n", - "# List files Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/Real\n", - "!ls /content/DetectionTest/Sources/Fake\n", - "!ls /content/DetectionTest/Model" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "8YTm6_EVbAPL", - "outputId": "0d26355f-3a56-4f9c-fb0d-2b2f4931fbea" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_1.mp4 EM_1.mp4 JL_1.mp4 QE_1.mp4\tTC_1.mp4\n", - "BO_0.mp4 EM_0.mp4 JL_0.mp4 QE_0.mp4\tTC_0.mp4\n", - "my_DenseNet.h5\t my_InceptionResNetModel.h5 my_VGG19.h5\n", - "my_EfficientNetB3.h5 my_MobileNetModel.h5\t my_Xeception.h5\n", - "my_EfficientNetB7.h5 my_NASNetMobile.h5\n", - "my_InceptionNetV3.h5 my_ResNet152V2.h5\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 4 - Extract frames from the video" - ], - "metadata": { - "id": "U_jv0zdJE8ju" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Real videos" - ], - "metadata": { - "id": "hPo7jUQ53L_Q" - } - }, - { - "cell_type": "code", - "metadata": { - "id": "J75j1NNXFs4I", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "f96f35c0-f4f7-40dd-8971-0cd6220c217d" - }, - "source": [ - "# Folder path contains the videos\n", - "INPUT_VIDEOS_PATH = '/content/DetectionTest/Sources/Real'\n", - "\n", - "# Folder path for storing image frames to be extracted from videos\n", - "OUTPUT_FRAMES_PATH = '/content/DetectionTest/Sources/frames/real'\n", - "\n", - "# Create variables \n", - "one_frame_each = 120 # Para = 24, Extract 1 frame from a video for every 24 frames, around 1 second (DFDpreview)\n", - "\n", - "!if [ -d {OUTPUT_FRAMES_PATH} ]; then echo \"Output to be stored in \"{OUTPUT_FRAMES_PATH} ; else mkdir {OUTPUT_FRAMES_PATH} && echo \"Output directory created\"; fi\n", - "\n", - "videofiles = !ls {INPUT_VIDEOS_PATH}/*.mp4 # Video file names in INPUT VIDEOS PATH" - ], - "execution_count": 10, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Output to be stored in /content/DetectionTest/Sources/frames/real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "for videofile in videofiles:\n", - " count = 0\n", - " success = True\n", - " filename = os.path.basename(videofile)\n", - " vidcap = cv2.VideoCapture(videofile)\n", - "\n", - " while success:\n", - " if (count%one_frame_each == 0): # checks frame number and keeps one_frame_each \n", - " success, image = vidcap.read() # reads next frame \n", - " if image.shape[1]>640: # if image width > 640, resize it\n", - " tmp = resize(image, (math.floor(640 / image.shape[1] * image.shape[0]), 640))\n", - " plt.imsave(\"%s/%s%d.jpg\" % (OUTPUT_FRAMES_PATH,filename,count), tmp, format='jpg') # saves images to frame folder\n", - " print ('*', end=\"\")\n", - " else:\n", - " success,image = vidcap.read() # reads next frame\n", - " count += 1 # loops counter\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "Ka-XOHiOl76M", - "outputId": "88c4a96f-a578-466d-ecaa-aad524cf2e6f" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "**************" - ] - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "iKq4fjqkSx_7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "633a07f7-ebbd-4766-fc50-fe7478bdd26f" - }, - "source": [ - "# List the image frames in Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/frames/real\n", - "\n", - "# Copy the frames to Google Drive\n", - "!cp /content/DetectionTest/Sources/frames/real/* GDrive/My\\ Drive/MyVideo/Frames/Real\n" - ], - "execution_count": 12, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_1.mp40.jpg\t EM_1.mp4120.jpg JL_1.mp4240.jpg TC_1.mp40.jpg\n", - "BO_1.mp4120.jpg EM_1.mp4240.jpg QE_1.mp40.jpg TC_1.mp4120.jpg\n", - "BO_1.mp4240.jpg JL_1.mp40.jpg\t QE_1.mp4120.jpg\n", - "EM_1.mp40.jpg\t JL_1.mp4120.jpg QE_1.mp4240.jpg\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# List the image frames in Google Drive \n", - "!ls GDrive/My\\ Drive/MyVideo/Frames/Real" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "_goNsEbsmter", - "outputId": "c647809c-d539-45d4-caaf-652f9b7fd646" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_1.mp40.jpg\t EM_1.mp4120.jpg JL_1.mp4240.jpg TC_1.mp40.jpg\n", - "BO_1.mp4120.jpg EM_1.mp4240.jpg QE_1.mp40.jpg TC_1.mp4120.jpg\n", - "BO_1.mp4240.jpg JL_1.mp40.jpg\t QE_1.mp4120.jpg\n", - "EM_1.mp40.jpg\t JL_1.mp4120.jpg QE_1.mp4240.jpg\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Fake videos" - ], - "metadata": { - "id": "-Et_gko_3VjP" - } - }, - { - "cell_type": "code", - "source": [ - "# Folder path contains the videos\n", - "INPUT_VIDEOS_PATH = '/content/DetectionTest/Sources/Fake'\n", - "\n", - "# Folder path for storing image frames to be extracted from videos\n", - "OUTPUT_FRAMES_PATH = '/content/DetectionTest/Sources/frames/fake'\n", - "\n", - "# Create variables \n", - "one_frame_each = 120 # Para = 24, Extract 1 frame from a video for every 24 frames, around 1 second (DFDpreview)\n", - "\n", - "!if [ -d {OUTPUT_FRAMES_PATH} ]; then echo \"Output to be stored in \"{OUTPUT_FRAMES_PATH} ; else mkdir {OUTPUT_FRAMES_PATH} && echo \"Output directory created\"; fi\n", - "\n", - "videofiles = !ls {INPUT_VIDEOS_PATH}/*.mp4 # Video file names in INPUT VIDEOS PATH" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "kkHG6VxJ3U2_", - "outputId": "2b75664d-e946-4fa7-d81e-fef8ce6af827" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Output to be stored in /content/DetectionTest/Sources/frames/fake\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "for videofile in videofiles:\n", - " count = 0\n", - " success = True\n", - " filename = os.path.basename(videofile)\n", - " vidcap = cv2.VideoCapture(videofile)\n", - "\n", - " while success:\n", - " if (count%one_frame_each == 0): # checks frame number and keeps one_frame_each \n", - " success, image = vidcap.read() # reads next frame \n", - " if image.shape[1]>640: # if image width > 640, resize it\n", - " tmp = resize(image, (math.floor(640 / image.shape[1] * image.shape[0]), 640))\n", - " plt.imsave(\"%s/%s%d.jpg\" % (OUTPUT_FRAMES_PATH,filename,count), tmp, format='jpg') # saves images to frame folder\n", - " print ('*', end=\"\")\n", - " else:\n", - " success,image = vidcap.read() # reads next frame\n", - " count += 1 # loops counter\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "uTJPKUbY3YC3", - "outputId": "4fbffff4-067d-4c65-88ea-1b45cd3b5183" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "*************" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# List the image frames in Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/frames/fake\n", - "\n", - "# Copy the frames to Google Drive\n", - "!cp /content/DetectionTest/Sources/frames/fake/* GDrive/My\\ Drive/MyVideo/Frames/Fake\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "KmaoN0yg3yPG", - "outputId": "272b178e-25b8-4dbe-bf93-0a006d082aa9" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_0.mp40.jpg\t JL_0.mp40.jpg\t QE_0.mp4120.jpg TC_0.mp4240.jpg\n", - "BO_0.mp4120.jpg JL_0.mp4120.jpg QE_0.mp4240.jpg\n", - "EM_0.mp40.jpg\t JL_0.mp4240.jpg TC_0.mp40.jpg\n", - "EM_0.mp4120.jpg QE_0.mp40.jpg\t TC_0.mp4120.jpg\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# List the image frames in Google Drive \n", - "!ls GDrive/My\\ Drive/MyVideo/Frames/Fake" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "11mP23t035gZ", - "outputId": "659b604c-ea80-40fb-b599-37071f03321d" - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_0.mp40.jpg\t JL_0.mp40.jpg\t QE_0.mp4120.jpg TC_0.mp4240.jpg\n", - "BO_0.mp4120.jpg JL_0.mp4120.jpg QE_0.mp4240.jpg\n", - "EM_0.mp40.jpg\t JL_0.mp4240.jpg TC_0.mp40.jpg\n", - "EM_0.mp4120.jpg QE_0.mp40.jpg\t TC_0.mp4120.jpg\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 5 - Extract faces from the frames" - ], - "metadata": { - "id": "5WaFLS17CEgx" - } - }, - { - "cell_type": "code", - "source": [ - "!apt-get install build-essential cmake\n", - "!apt-get install libopenblas-dev liblapack-dev\n", - "!pip install dlib\n", - "!pip install face_recognition\n", - "!pip install opencv-python\n", - "!pip install opencv-contrib-python" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "AogIA1dOm917", - "outputId": "cb6ec7f3-93f0-48d3-d5fa-39d4b3b9da00" - }, - "execution_count": 18, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Reading package lists... Done\n", - "Building dependency tree \n", - "Reading state information... Done\n", - "build-essential is already the newest version (12.4ubuntu1).\n", - "cmake is already the newest version (3.10.2-1ubuntu2.18.04.2).\n", - "0 upgraded, 0 newly installed, 0 to remove and 37 not upgraded.\n", - "Reading package lists... Done\n", - "Building dependency tree \n", - "Reading state information... Done\n", - "liblapack-dev is already the newest version (3.7.1-4ubuntu1).\n", - "libopenblas-dev is already the newest version (0.2.20+ds-4).\n", - "0 upgraded, 0 newly installed, 0 to remove and 37 not upgraded.\n", - "Requirement already satisfied: dlib in /usr/local/lib/python3.7/dist-packages (19.18.0)\n", - "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n", - "Collecting face_recognition\n", - " Downloading face_recognition-1.3.0-py2.py3-none-any.whl (15 kB)\n", - "Requirement already satisfied: Pillow in /usr/local/lib/python3.7/dist-packages (from face_recognition) (7.1.2)\n", - "Collecting face-recognition-models>=0.3.0\n", - " Downloading face_recognition_models-0.3.0.tar.gz (100.1 MB)\n", - " |████████████████████████████████| 100.1 MB 1.2 MB/s \n", - "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from face_recognition) (1.19.5)\n", - "Requirement already satisfied: Click>=6.0 in /usr/local/lib/python3.7/dist-packages (from face_recognition) (7.1.2)\n", - "Requirement already satisfied: dlib>=19.7 in /usr/local/lib/python3.7/dist-packages (from face_recognition) (19.18.0)\n", - "Building wheels for collected packages: face-recognition-models\n", - " Building wheel for face-recognition-models (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Created wheel for face-recognition-models: filename=face_recognition_models-0.3.0-py2.py3-none-any.whl size=100566185 sha256=d3af9e71db1a35614aa06dffb69e75f0a379bc6a83bf522811f10d72da6ddf45\n", - " Stored in directory: /root/.cache/pip/wheels/d6/81/3c/884bcd5e1c120ff548d57c2ecc9ebf3281c9a6f7c0e7e7947a\n", - "Successfully built face-recognition-models\n", - "Installing collected packages: face-recognition-models, face-recognition\n", - "Successfully installed face-recognition-1.3.0 face-recognition-models-0.3.0\n", - "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n", - "Requirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (4.1.2.30)\n", - "Requirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from opencv-python) (1.19.5)\n", - "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n", - "Requirement already satisfied: opencv-contrib-python in /usr/local/lib/python3.7/dist-packages (4.1.2.30)\n", - "Requirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from opencv-contrib-python) (1.19.5)\n", - "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Import OpenCV and face_recognition libraries to extract the faces from frames\n", - "from PIL import Image\n", - "import cv2\n", - "import face_recognition" - ], - "metadata": { - "id": "YPNH9jY9ngAK" - }, - "execution_count": 19, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Real video images" - ], - "metadata": { - "id": "7ho4i7qB4EtP" - } - }, - { - "cell_type": "code", - "metadata": { - "id": "zSphLR9W89-0", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "6a6866f6-cedd-448f-df6d-cfa26a9127ad" - }, - "source": [ - "# Folder path contains the frames\n", - "INPUT_FRAMES_PATH = '/content/DetectionTest/Sources/frames/real'\n", - "\n", - "# Folder path for storing faces to be extracted from images\n", - "OUTPUT_FACES_PATH = '/content/DetectionTest/Sources/faces/real'\n", - "\n", - "!if [ -d {OUTPUT_FACES_PATH} ]; then echo \"Output to be stored in \"{OUTPUT_FACES_PATH} ; else mkdir {OUTPUT_FACES_PATH} && echo \"Output directory created\"; fi\n", - "\n", - "imagefiles = !ls {INPUT_FRAMES_PATH}/*.jpg # Image file names in INPUT FRAMES PATH\n", - "\n", - "# Extract face from all image files in the given directory\n", - "for imagefile in imagefiles:\n", - " filename = os.path.basename(imagefile)\n", - " image = face_recognition.load_image_file(imagefile)\n", - " face_locations = face_recognition.face_locations(image)\n", - " print(\"Found {} face(s) in this photograph - %s.\".format(len(face_locations)),filename)\n", - "\n", - " %matplotlib inline\n", - " plt.rcParams['figure.figsize'] = [32, 8]\n", - "\n", - " for face_location in face_locations:\n", - " top, right, bottom, left = face_location\n", - " print(\"A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {} for %s\".format(top, left, bottom, right), filename)\n", - " face_image = image[top:bottom, left:right]\n", - "\n", - " if(len(face_locations) == 1):\n", - " cv2.imwrite(\"%s/%sF.jpg\" % (OUTPUT_FACES_PATH,filename), face_image)\n", - " print ('*', end=\"\")" - ], - "execution_count": 20, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Output to be stored in /content/DetectionTest/Sources/faces/real\n", - "Found 1 face(s) in this photograph - %s. BO_1.mp40.jpg\n", - "A face is located at pixel location Top: 66, Left: 275, Bottom: 156, Right: 364 for %s BO_1.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. BO_1.mp4120.jpg\n", - "A face is located at pixel location Top: 80, Left: 295, Bottom: 155, Right: 370 for %s BO_1.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. BO_1.mp4240.jpg\n", - "A face is located at pixel location Top: 66, Left: 285, Bottom: 156, Right: 374 for %s BO_1.mp4240.jpg\n", - "*Found 1 face(s) in this photograph - %s. EM_1.mp40.jpg\n", - "A face is located at pixel location Top: 82, Left: 253, Bottom: 211, Right: 382 for %s EM_1.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. EM_1.mp4120.jpg\n", - "A face is located at pixel location Top: 82, Left: 239, Bottom: 211, Right: 368 for %s EM_1.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. EM_1.mp4240.jpg\n", - "A face is located at pixel location Top: 64, Left: 253, Bottom: 219, Right: 408 for %s EM_1.mp4240.jpg\n", - "*Found 1 face(s) in this photograph - %s. JL_1.mp40.jpg\n", - "A face is located at pixel location Top: 80, Left: 306, Bottom: 187, Right: 414 for %s JL_1.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. JL_1.mp4120.jpg\n", - "A face is located at pixel location Top: 53, Left: 253, Bottom: 182, Right: 382 for %s JL_1.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. JL_1.mp4240.jpg\n", - "A face is located at pixel location Top: 68, Left: 235, Bottom: 175, Right: 342 for %s JL_1.mp4240.jpg\n", - "*Found 1 face(s) in this photograph - %s. QE_1.mp40.jpg\n", - "A face is located at pixel location Top: 92, Left: 366, Bottom: 199, Right: 474 for %s QE_1.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. QE_1.mp4120.jpg\n", - "A face is located at pixel location Top: 104, Left: 354, Bottom: 211, Right: 462 for %s QE_1.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. QE_1.mp4240.jpg\n", - "A face is located at pixel location Top: 96, Left: 354, Bottom: 225, Right: 483 for %s QE_1.mp4240.jpg\n", - "*Found 1 face(s) in this photograph - %s. TC_1.mp40.jpg\n", - "A face is located at pixel location Top: 80, Left: 163, Bottom: 187, Right: 270 for %s TC_1.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. TC_1.mp4120.jpg\n", - "A face is located at pixel location Top: 68, Left: 211, Bottom: 175, Right: 318 for %s TC_1.mp4120.jpg\n", - "*" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Count number of faces in Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/faces/real | wc -l" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "xQiD9t194e1N", - "outputId": "9a6a5eed-7b0a-4f09-cd04-4b1b4c3d9fba" - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "14\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# List the faces in Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/faces/real" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "8QzuF1FH4jnn", - "outputId": "2bcdcea5-1514-49d1-b87c-25c143df86d9" - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_1.mp40.jpgF.jpg EM_1.mp4240.jpgF.jpg QE_1.mp4120.jpgF.jpg\n", - "BO_1.mp4120.jpgF.jpg JL_1.mp40.jpgF.jpg QE_1.mp4240.jpgF.jpg\n", - "BO_1.mp4240.jpgF.jpg JL_1.mp4120.jpgF.jpg TC_1.mp40.jpgF.jpg\n", - "EM_1.mp40.jpgF.jpg JL_1.mp4240.jpgF.jpg TC_1.mp4120.jpgF.jpg\n", - "EM_1.mp4120.jpgF.jpg QE_1.mp40.jpgF.jpg\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Copy the faces to Google Drive\n", - "!cp /content/DetectionTest/Sources/faces/real/* GDrive/My\\ Drive/MyVideo/Faces/Real" - ], - "metadata": { - "id": "o86eRRIV4rJ-" - }, - "execution_count": 23, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# List the faces in Google Drive \n", - "!ls GDrive/My\\ Drive/MyVideo/Faces/Real" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "SF3LGQU74xIo", - "outputId": "36f8447d-8a5e-43d5-f8c5-41362ea45be3" - }, - "execution_count": 24, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_1.mp40.jpgF.jpg EM_1.mp4240.jpgF.jpg QE_1.mp4120.jpgF.jpg\n", - "BO_1.mp4120.jpgF.jpg JL_1.mp40.jpgF.jpg QE_1.mp4240.jpgF.jpg\n", - "BO_1.mp4240.jpgF.jpg JL_1.mp4120.jpgF.jpg TC_1.mp40.jpgF.jpg\n", - "EM_1.mp40.jpgF.jpg JL_1.mp4240.jpgF.jpg TC_1.mp4120.jpgF.jpg\n", - "EM_1.mp4120.jpgF.jpg QE_1.mp40.jpgF.jpg\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Visualise the face\n", - "plt.figure(figsize = (5,2))\n", - "viewreal = plt.imread(\"/content/DetectionTest/Sources/faces/real/BO_1.mp40.jpgF.jpg\") # update file name\n", - "plt.imshow(viewreal)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 178 - }, - "id": "FKy4P8Y545Ye", - "outputId": "102c636d-7314-41ca-a026-9e430eb93a9d" - }, - "execution_count": 25, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 25 - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Fake video images" - ], - "metadata": { - "id": "RL9WBgW04LMV" - } - }, - { - "cell_type": "code", - "source": [ - "# Folder path contains the frames\n", - "INPUT_FRAMES_PATH = '/content/DetectionTest/Sources/frames/fake'\n", - "\n", - "# Folder path for storing faces to be extracted from images\n", - "OUTPUT_FACES_PATH = '/content/DetectionTest/Sources/faces/fake'\n", - "\n", - "!if [ -d {OUTPUT_FACES_PATH} ]; then echo \"Output to be stored in \"{OUTPUT_FACES_PATH} ; else mkdir {OUTPUT_FACES_PATH} && echo \"Output directory created\"; fi\n", - "\n", - "imagefiles = !ls {INPUT_FRAMES_PATH}/*.jpg # Image file names in INPUT FRAMES PATH\n", - "\n", - "# Extract face from all image files in the given directory\n", - "for imagefile in imagefiles:\n", - " filename = os.path.basename(imagefile)\n", - " image = face_recognition.load_image_file(imagefile)\n", - " face_locations = face_recognition.face_locations(image)\n", - " print(\"Found {} face(s) in this photograph - %s.\".format(len(face_locations)),filename)\n", - "\n", - " %matplotlib inline\n", - " plt.rcParams['figure.figsize'] = [32, 8]\n", - "\n", - " for face_location in face_locations:\n", - " top, right, bottom, left = face_location\n", - " print(\"A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {} for %s\".format(top, left, bottom, right), filename)\n", - " face_image = image[top:bottom, left:right]\n", - "\n", - " if(len(face_locations) == 1):\n", - " cv2.imwrite(\"%s/%sF.jpg\" % (OUTPUT_FACES_PATH,filename), face_image)\n", - " print ('*', end=\"\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "hlBgjodX4KSV", - "outputId": "1c53818a-91ac-4907-b406-d003c886bddf" - }, - "execution_count": 26, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Output to be stored in /content/DetectionTest/Sources/faces/fake\n", - "Found 1 face(s) in this photograph - %s. BO_0.mp40.jpg\n", - "A face is located at pixel location Top: 80, Left: 247, Bottom: 187, Right: 354 for %s BO_0.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. BO_0.mp4120.jpg\n", - "A face is located at pixel location Top: 76, Left: 255, Bottom: 166, Right: 344 for %s BO_0.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. EM_0.mp40.jpg\n", - "A face is located at pixel location Top: 92, Left: 235, Bottom: 199, Right: 342 for %s EM_0.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. EM_0.mp4120.jpg\n", - "A face is located at pixel location Top: 96, Left: 253, Bottom: 225, Right: 382 for %s EM_0.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. JL_0.mp40.jpg\n", - "A face is located at pixel location Top: 66, Left: 325, Bottom: 156, Right: 414 for %s JL_0.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. JL_0.mp4120.jpg\n", - "A face is located at pixel location Top: 76, Left: 305, Bottom: 166, Right: 394 for %s JL_0.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. JL_0.mp4240.jpg\n", - "A face is located at pixel location Top: 88, Left: 295, Bottom: 163, Right: 370 for %s JL_0.mp4240.jpg\n", - "*Found 0 face(s) in this photograph - %s. QE_0.mp40.jpg\n", - "Found 1 face(s) in this photograph - %s. QE_0.mp4120.jpg\n", - "A face is located at pixel location Top: 107, Left: 291, Bottom: 159, Right: 343 for %s QE_0.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. QE_0.mp4240.jpg\n", - "A face is located at pixel location Top: 101, Left: 287, Bottom: 163, Right: 349 for %s QE_0.mp4240.jpg\n", - "*Found 1 face(s) in this photograph - %s. TC_0.mp40.jpg\n", - "A face is located at pixel location Top: 139, Left: 282, Bottom: 268, Right: 411 for %s TC_0.mp40.jpg\n", - "*Found 1 face(s) in this photograph - %s. TC_0.mp4120.jpg\n", - "A face is located at pixel location Top: 140, Left: 282, Bottom: 247, Right: 390 for %s TC_0.mp4120.jpg\n", - "*Found 1 face(s) in this photograph - %s. TC_0.mp4240.jpg\n", - "A face is located at pixel location Top: 86, Left: 275, Bottom: 176, Right: 364 for %s TC_0.mp4240.jpg\n", - "*" - ] - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "gOPXBbP1Spao", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "c476062b-c10d-49dc-b39a-d68308d6e80f" - }, - "source": [ - "# Count number of faces in Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/faces/fake | wc -l" - ], - "execution_count": 27, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "12\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# List the faces in Google Colab's temporary directory \n", - "!ls /content/DetectionTest/Sources/faces/fake" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "0iqtAXLGpVcD", - "outputId": "5cff252f-5086-46bc-d598-f9af6f06a92c" - }, - "execution_count": 28, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_0.mp40.jpgF.jpg JL_0.mp40.jpgF.jpg QE_0.mp4240.jpgF.jpg\n", - "BO_0.mp4120.jpgF.jpg JL_0.mp4120.jpgF.jpg TC_0.mp40.jpgF.jpg\n", - "EM_0.mp40.jpgF.jpg JL_0.mp4240.jpgF.jpg TC_0.mp4120.jpgF.jpg\n", - "EM_0.mp4120.jpgF.jpg QE_0.mp4120.jpgF.jpg TC_0.mp4240.jpgF.jpg\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Copy the faces to Google Drive\n", - "!cp /content/DetectionTest/Sources/faces/fake/* GDrive/My\\ Drive/MyVideo/Faces/Fake" - ], - "metadata": { - "id": "ROhIEJdmpSWC" - }, - "execution_count": 29, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# List the faces in Google Drive \n", - "!ls GDrive/My\\ Drive/MyVideo/Faces/Fake" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "2T1j0LJ_pai5", - "outputId": "d039047e-00c6-4375-93d7-9606ab2b995f" - }, - "execution_count": 30, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BO_0.mp40.jpgF.jpg JL_0.mp40.jpgF.jpg QE_0.mp4240.jpgF.jpg\n", - "BO_0.mp4120.jpgF.jpg JL_0.mp4120.jpgF.jpg TC_0.mp40.jpgF.jpg\n", - "EM_0.mp40.jpgF.jpg JL_0.mp4240.jpgF.jpg TC_0.mp4120.jpgF.jpg\n", - "EM_0.mp4120.jpgF.jpg QE_0.mp4120.jpgF.jpg TC_0.mp4240.jpgF.jpg\n" - ] - } - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 178 - }, - "id": "54wnamnKlG0E", - "outputId": "1c00b013-5bc3-4543-a40d-475f4b32fe0d" - }, - "source": [ - "# Visualise the face\n", - "plt.figure(figsize = (5,2))\n", - "viewreal = plt.imread(\"/content/DetectionTest/Sources/faces/fake/BO_0.mp40.jpgF.jpg\") # update file name\n", - "plt.imshow(viewreal)" - ], - "execution_count": 31, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 31 - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 6 - Create my test dataset" - ], - "metadata": { - "id": "z5xc6qEvpxj4" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import tensorflow\n", - "from tensorflow import keras" - ], - "metadata": { - "id": "wfQTlbfwqgrD" - }, - "execution_count": 39, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Set path \n", - "base_dir = '/content/DetectionTest/Sources/'\n", - "test_dir = os.path.join(base_dir, 'faces')\n", - "\n", - "# Directory with our test fake pictures\n", - "test_fake_dir = os.path.join(test_dir, 'fake')\n", - "\n", - "# Directory with our test real pictures\n", - "test_real_dir = os.path.join(test_dir, 'real')\n", - "\n", - "# Print some file names to confirm the right directories are connected \n", - "test_real_fnames = os.listdir(test_real_dir)\n", - "test_real_fnames.sort()\n", - "print(test_real_fnames[:5])\n", - "\n", - "test_fake_fnames = os.listdir(test_fake_dir)\n", - "test_fake_fnames.sort()\n", - "print(test_fake_fnames[:5])\n", - "\n", - "# Count the number of real and fake images of faces in the train and validation directories\n", - "print('total real video images for testing:', len(os.listdir(test_real_dir)))\n", - "print('total fake video images for testing:', len(os.listdir(test_fake_dir)))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "TurhY2hF5a0-", - "outputId": "3ed7ba73-6cc0-4c9b-d615-d27e94ff0307" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "['BO_1.mp40.jpgF.jpg', 'BO_1.mp4120.jpgF.jpg', 'BO_1.mp4240.jpgF.jpg', 'EM_1.mp40.jpgF.jpg', 'EM_1.mp4120.jpgF.jpg']\n", - "['BO_0.mp40.jpgF.jpg', 'BO_0.mp4120.jpgF.jpg', 'EM_0.mp40.jpgF.jpg', 'EM_0.mp4120.jpgF.jpg', 'JL_0.mp40.jpgF.jpg']\n", - "total real video images for testing: 14\n", - "total fake video images for testing: 12\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Define matplotlib parameters for output images as 4x4 images\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.image as mpimg\n", - "\n", - "nrows = 4\n", - "ncols = 4\n", - "\n", - "pic_index = 0 # index for image iteration" - ], - "metadata": { - "id": "cq233p685wOY" - }, - "execution_count": 34, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Show a batch of 8 real images \n", - "# Rerun the cell to fetch a new batch of images \n", - "\n", - "fig = plt.gcf() # set up matplotlib fig\n", - "fig.set_size_inches(ncols * 4, nrows * 4) # size matplotlib fig to fit into a 4x4 image\n", - "\n", - "pic_index += 8\n", - "next_real_pix = [os.path.join(test_real_dir, fname) \n", - " for fname in test_real_fnames[pic_index-8:pic_index]]\n", - "\n", - "for i, img_path in enumerate(next_real_pix):\n", - " sp = plt.subplot(nrows, ncols, i + 1) # Set up subplot, subplot indices start at 1\n", - " sp.axis('Off') # Turn off axis\n", - "\n", - " img = mpimg.imread(img_path)\n", - " plt.imshow(img)\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 446 - }, - "id": "OM4oquZ25wRd", - "outputId": "0c77be2d-9ee7-49a9-8e6a-71f3efd09a95" - }, - "execution_count": 35, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "pic_index = 0 # reset index for image iteration for fake images" - ], - "metadata": { - "id": "0VAyI2Vv6z2t" - }, - "execution_count": 36, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Show a batch of 8 fake images\n", - "# Rerun the cell to fetch a new batch of images \n", - "\n", - "fig = plt.gcf() # set up matplotlib fig\n", - "fig.set_size_inches(ncols * 4, nrows * 4) # size matplotlib fig to fit into a 4x4 image\n", - "\n", - "pic_index += 8\n", - "next_fake_pix = [os.path.join(test_fake_dir, fname) \n", - " for fname in test_fake_fnames[pic_index-8:pic_index]]\n", - "\n", - "for i, img_path in enumerate(next_fake_pix):\n", - " sp = plt.subplot(nrows, ncols, i + 1) # Set up subplot, subplot indices start at 1\n", - " sp.axis('Off') # Turn off axis\n", - "\n", - " img = mpimg.imread(img_path)\n", - " plt.imshow(img)\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 446 - }, - "id": "DpsiHJnQ5wS1", - "outputId": "8f1e3475-5efa-46fc-8273-c567979cd263" - }, - "execution_count": 37, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "BATCH_SIZE = 40\n", - "IMG_SIZE = (150, 150)\n", - "\n", - "# Create test dataset with dataset from directory method\n", - "test_dataset = tensorflow.keras.utils.image_dataset_from_directory(test_dir,\n", - " shuffle=False,\n", - " batch_size=BATCH_SIZE,\n", - " image_size=IMG_SIZE)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "JhkwWLYi7Aws", - "outputId": "d347da87-a45d-46e8-ac3e-802f0221b8fd" - }, - "execution_count": 40, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 26 files belonging to 2 classes.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Check the result of test dataset\n", - "class_names = test_dataset.class_names\n", - "\n", - "plt.figure(figsize=(10, 10))\n", - "for images, labels in test_dataset.take(1):\n", - " for i in range(9):\n", - " ax = plt.subplot(3, 3, i + 1)\n", - " plt.imshow(images[i].numpy().astype(\"uint8\"))\n", - " plt.title(class_names[labels[i]])\n", - " plt.axis(\"off\")\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 591 - }, - "id": "roHwwdeg7Ayz", - "outputId": "ea3fb32b-cb5e-499f-e933-1823d545841d" - }, - "execution_count": 41, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Performance enhancement\n", - "AUTOTUNE = tensorflow.data.AUTOTUNE\n", - "\n", - "test_dataset = test_dataset.prefetch(buffer_size=AUTOTUNE)" - ], - "metadata": { - "id": "aaORAwnB7A02" - }, - "execution_count": 42, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 7 - Load the Model" - ], - "metadata": { - "id": "M0gVYs7k77Bn" - } - }, - { - "cell_type": "code", - "source": [ - "# List the models in Google Colab's temporary directory \n", - "!ls -la /content/DetectionTest/Model" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "H0MTtx_QhzJF", - "outputId": "04f4dead-4a5c-497d-cc48-40854e15c469" - }, - "execution_count": 44, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "total 2013040\n", - "drwxr-xr-x 2 root root 4096 Dec 9 09:24 .\n", - "drwxr-xr-x 4 root root 4096 Dec 9 09:24 ..\n", - "-rw------- 1 root root 144739920 Dec 9 09:24 my_DenseNet.h5\n", - "-rw------- 1 root root 86592688 Dec 9 09:24 my_EfficientNetB3.h5\n", - "-rw------- 1 root root 513642616 Dec 9 09:24 my_EfficientNetB7.h5\n", - "-rw------- 1 root root 166580856 Dec 9 09:24 my_InceptionNetV3.h5\n", - "-rw------- 1 root root 433641880 Dec 9 09:24 my_InceptionResNetModel.h5\n", - "-rw------- 1 root root 16919968 Dec 9 09:24 my_MobileNetModel.h5\n", - "-rw------- 1 root root 36567648 Dec 9 09:24 my_NASNetMobile.h5\n", - "-rw------- 1 root root 460713944 Dec 9 09:24 my_ResNet152V2.h5\n", - "-rw------- 1 root root 80178680 Dec 9 09:24 my_VGG19.h5\n", - "-rw------- 1 root root 121727000 Dec 9 09:24 my_Xeception.h5\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Load models\n", - "modelM1 = keras.models.load_model('/content/DetectionTest/Model/my_Xeception.h5')\n", - "modelM2 = keras.models.load_model('/content/DetectionTest/Model/my_VGG19.h5')\n", - "modelM3 = keras.models.load_model('/content/DetectionTest/Model/my_ResNet152V2.h5')\n", - "modelM4 = keras.models.load_model('/content/DetectionTest/Model/my_InceptionNetV3.h5')\n", - "modelM5 = keras.models.load_model('/content/DetectionTest/Model/my_InceptionResNetModel.h5')\n", - "modelM6 = keras.models.load_model('/content/DetectionTest/Model/my_MobileNetModel.h5')\n", - "modelM7 = keras.models.load_model('/content/DetectionTest/Model/my_DenseNet.h5')\n", - "modelM8 = keras.models.load_model('/content/DetectionTest/Model/my_NASNetMobile.h5')\n", - "modelM9 = keras.models.load_model('/content/DetectionTest/Model/my_EfficientNetB3.h5')\n", - "modelM10 = keras.models.load_model('/content/DetectionTest/Model/my_EfficientNetB7.h5')" - ], - "metadata": { - "id": "XSBw_DLvu-7l" - }, - "execution_count": 45, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "modelM1.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "8UYcWoQg7nGU", - "outputId": "a795eddd-5094-43fa-fbe4-2755cbd3eed2" - }, - "execution_count": 47, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " tf.math.truediv (TFOpLambda (None, 150, 150, 3) 0 \n", - " ) \n", - " \n", - " tf.math.subtract (TFOpLambd (None, 150, 150, 3) 0 \n", - " a) \n", - " \n", - " xception (Functional) (None, 5, 5, 2048) 20861480 \n", - " \n", - " global_average_pooling2d (G (None, 2048) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 2048) 0 \n", - " \n", - " dense (Dense) (None, 1) 2049 \n", - " \n", - "=================================================================\n", - "Total params: 20,863,529\n", - "Trainable params: 9,480,393\n", - "Non-trainable params: 11,383,136\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM2.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "BfPrv-y0jCOM", - "outputId": "dd8b6ec3-d83a-4161-8845-5f84155ddb16" - }, - "execution_count": 48, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " tf.__operators__.getitem (S (None, 150, 150, 3) 0 \n", - " licingOpLambda) \n", - " \n", - " tf.nn.bias_add (TFOpLambda) (None, 150, 150, 3) 0 \n", - " \n", - " vgg19 (Functional) (None, 4, 4, 512) 20024384 \n", - " \n", - " global_average_pooling2d (G (None, 512) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 512) 0 \n", - " \n", - " dense (Dense) (None, 1) 513 \n", - " \n", - "=================================================================\n", - "Total params: 20,024,897\n", - "Trainable params: 513\n", - "Non-trainable params: 20,024,384\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM3.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "QO1VCbLHjCRy", - "outputId": "bef51993-2ced-4d25-b4fb-a6c19c032864" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " tf.math.truediv (TFOpLambda (None, 150, 150, 3) 0 \n", - " ) \n", - " \n", - " tf.math.subtract (TFOpLambd (None, 150, 150, 3) 0 \n", - " a) \n", - " \n", - " resnet152v2 (Functional) (None, 5, 5, 2048) 58331648 \n", - " \n", - " global_average_pooling2d (G (None, 2048) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 2048) 0 \n", - " \n", - " dense (Dense) (None, 1) 2049 \n", - " \n", - "=================================================================\n", - "Total params: 58,333,697\n", - "Trainable params: 56,396,545\n", - "Non-trainable params: 1,937,152\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM4.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "XKfFg8NjjCWb", - "outputId": "82cedae9-eca5-4ac2-bb18-bd0333ec8487" - }, - "execution_count": 50, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " tf.math.truediv (TFOpLambda (None, 150, 150, 3) 0 \n", - " ) \n", - " \n", - " tf.math.subtract (TFOpLambd (None, 150, 150, 3) 0 \n", - " a) \n", - " \n", - " inception_v3 (Functional) (None, 3, 3, 2048) 21802784 \n", - " \n", - " global_average_pooling2d (G (None, 2048) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 2048) 0 \n", - " \n", - " dense (Dense) (None, 1) 2049 \n", - " \n", - "=================================================================\n", - "Total params: 21,804,833\n", - "Trainable params: 19,628,417\n", - "Non-trainable params: 2,176,416\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM5.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "uv2Wa6VdjCZR", - "outputId": "ded2c9f5-50ec-4aee-90e7-6656a78edad1" - }, - "execution_count": 51, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " tf.math.truediv (TFOpLambda (None, 150, 150, 3) 0 \n", - " ) \n", - " \n", - " tf.math.subtract (TFOpLambd (None, 150, 150, 3) 0 \n", - " a) \n", - " \n", - " inception_resnet_v2 (Functi (None, 3, 3, 1536) 54336736 \n", - " onal) \n", - " \n", - " global_average_pooling2d (G (None, 1536) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 1536) 0 \n", - " \n", - " dense (Dense) (None, 1) 1537 \n", - " \n", - "=================================================================\n", - "Total params: 54,338,273\n", - "Trainable params: 53,510,161\n", - "Non-trainable params: 828,112\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM6.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "6_gJCt27jCdV", - "outputId": "2c5ef9a7-c174-4ca4-acc4-3792d83befc1" - }, - "execution_count": 52, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_3 (InputLayer) [(None, 160, 160, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 160, 160, 3) 0 \n", - " \n", - " tf.math.truediv_1 (TFOpLamb (None, 160, 160, 3) 0 \n", - " da) \n", - " \n", - " tf.math.subtract_1 (TFOpLam (None, 160, 160, 3) 0 \n", - " bda) \n", - " \n", - " mobilenetv2_1.00_160 (Funct (None, 5, 5, 1280) 2257984 \n", - " ional) \n", - " \n", - " global_average_pooling2d (G (None, 1280) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout_1 (Dropout) (None, 1280) 0 \n", - " \n", - " dense (Dense) (None, 1) 1281 \n", - " \n", - "=================================================================\n", - "Total params: 2,259,265\n", - "Trainable params: 1,862,721\n", - "Non-trainable params: 396,544\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM7.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "VS6aci8fjCgL", - "outputId": "422886b0-048d-4fbc-bc9a-a5bd5eb5abb3" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " tf.math.truediv (TFOpLambda (None, 150, 150, 3) 0 \n", - " ) \n", - " \n", - " tf.nn.bias_add (TFOpLambda) (None, 150, 150, 3) 0 \n", - " \n", - " tf.math.truediv_1 (TFOpLamb (None, 150, 150, 3) 0 \n", - " da) \n", - " \n", - " densenet201 (Functional) (None, 4, 4, 1920) 18321984 \n", - " \n", - " global_average_pooling2d (G (None, 1920) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 1920) 0 \n", - " \n", - " dense (Dense) (None, 1) 1921 \n", - " \n", - "=================================================================\n", - "Total params: 18,323,905\n", - "Trainable params: 17,290,177\n", - "Non-trainable params: 1,033,728\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM8.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "iR4LscybjClb", - "outputId": "a5450d7d-57e2-4f78-e36c-7421e29fee6d" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 224, 224, 3)] 0 \n", - " \n", - " sequential_2 (Sequential) (None, 224, 224, 3) 0 \n", - " \n", - " tf.math.truediv (TFOpLambda (None, 224, 224, 3) 0 \n", - " ) \n", - " \n", - " tf.math.subtract (TFOpLambd (None, 224, 224, 3) 0 \n", - " a) \n", - " \n", - " NASNet (Functional) (None, 7, 7, 1056) 4269716 \n", - " \n", - " global_average_pooling2d (G (None, 1056) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 1056) 0 \n", - " \n", - " dense (Dense) (None, 1) 1057 \n", - " \n", - "=================================================================\n", - "Total params: 4,270,773\n", - "Trainable params: 4,210,713\n", - "Non-trainable params: 60,060\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM9.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "x-1FaPAAjCq4", - "outputId": "27c456a0-7675-45a7-eeef-1006f4455cfa" - }, - "execution_count": 55, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " efficientnetb3 (Functional) (None, 5, 5, 1536) 10783535 \n", - " \n", - " global_average_pooling2d (G (None, 1536) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 1536) 0 \n", - " \n", - " dense (Dense) (None, 1) 1537 \n", - " \n", - "=================================================================\n", - "Total params: 10,785,072\n", - "Trainable params: 10,577,383\n", - "Non-trainable params: 207,689\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "modelM10.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "mgmpxd3xjCuq", - "outputId": "2ca7a2c7-322d-442e-b1d0-7a30440b787e" - }, - "execution_count": 56, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_2 (InputLayer) [(None, 150, 150, 3)] 0 \n", - " \n", - " sequential (Sequential) (None, 150, 150, 3) 0 \n", - " \n", - " efficientnetb7 (Functional) (None, 5, 5, 2560) 64097687 \n", - " \n", - " global_average_pooling2d (G (None, 2560) 0 \n", - " lobalAveragePooling2D) \n", - " \n", - " dropout (Dropout) (None, 2560) 0 \n", - " \n", - " dense (Dense) (None, 1) 2561 \n", - " \n", - "=================================================================\n", - "Total params: 64,100,248\n", - "Trainable params: 63,663,721\n", - "Non-trainable params: 436,527\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 8 - Make prediction with unseen test dataset from the wild" - ], - "metadata": { - "id": "tpWb4B54_l4h" - } - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM1.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "1e78r4wF_e9y", - "outputId": "cbabafd1-89bc-4d8e-d3dc-74c3fbc57cd3" - }, - "execution_count": 58, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 8s 8s/step - loss: 0.8578 - accuracy: 0.6538\n", - "Test accuracy : 0.6538461446762085\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM2.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "jsI8dR0-jPen", - "outputId": "031e78d4-cc89-4115-a90b-bf48737b84e2" - }, - "execution_count": 59, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 1s 1s/step - loss: 0.6524 - accuracy: 0.6538\n", - "Test accuracy : 0.6538461446762085\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM3.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "zT2DGhiwjPmZ", - "outputId": "036c7415-8449-48e9-98ce-d1890f375161" - }, - "execution_count": 60, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 2s 2s/step - loss: 2.8144 - accuracy: 0.6538\n", - "Test accuracy : 0.6538461446762085\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM4.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "T6BE0v3LjPrL", - "outputId": "283469d2-9a2e-492b-81f0-31ffa481a965" - }, - "execution_count": 61, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 1s 1s/step - loss: 2.9405 - accuracy: 0.6923\n", - "Test accuracy : 0.692307710647583\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM5.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "mzjVVYdojPuV", - "outputId": "761b7bdf-b68e-4460-84dd-daa00ea98e5a" - }, - "execution_count": 62, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "WARNING:tensorflow:5 out of the last 5 calls to .test_function at 0x7f1691179ef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", - "1/1 [==============================] - 3s 3s/step - loss: 3.1116 - accuracy: 0.6538\n", - "Test accuracy : 0.6538461446762085\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "IMG_SIZE = (160, 160)\n", - "\n", - "\n", - "# Create test dataset with dataset from directory method\n", - "test_dataset = tensorflow.keras.utils.image_dataset_from_directory(test_dir,\n", - " shuffle=False,\n", - " batch_size=BATCH_SIZE,\n", - " image_size=IMG_SIZE)\n", - "\n", - "# Performance enhancement\n", - "AUTOTUNE = tensorflow.data.AUTOTUNE\n", - "\n", - "test_dataset = test_dataset.prefetch(buffer_size=AUTOTUNE)\n", - "\n", - "\n", - "loss, accuracy = modelM6.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "wk2nTKSgjPyb", - "outputId": "2772bd80-9a47-414e-a8b7-00e05d4d8271" - }, - "execution_count": 69, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 26 files belonging to 2 classes.\n", - "1/1 [==============================] - 1s 832ms/step - loss: 0.9838 - accuracy: 0.7308\n", - "Test accuracy : 0.7307692170143127\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM7.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "38A_P5CxjP2a", - "outputId": "e23b70b4-45d0-4b4d-d12f-7f290fa8f0d6" - }, - "execution_count": 64, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "WARNING:tensorflow:6 out of the last 6 calls to .test_function at 0x7f169028a440> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", - "1/1 [==============================] - 3s 3s/step - loss: 2.7244 - accuracy: 0.6538\n", - "Test accuracy : 0.6538461446762085\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "IMG_SIZE = (224, 224)\n", - "\n", - "# Create test dataset with dataset from directory method\n", - "test_dataset = tensorflow.keras.utils.image_dataset_from_directory(test_dir,\n", - " shuffle=False,\n", - " batch_size=BATCH_SIZE,\n", - " image_size=IMG_SIZE)\n", - "\n", - "# Performance enhancement\n", - "AUTOTUNE = tensorflow.data.AUTOTUNE\n", - "\n", - "test_dataset = test_dataset.prefetch(buffer_size=AUTOTUNE)\n", - "\n", - "\n", - "loss, accuracy = modelM8.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "ZfMEsCRvjP7x", - "outputId": "cd4ad3df-6dae-49d0-f3d9-2b7e053f98ac" - }, - "execution_count": 70, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 26 files belonging to 2 classes.\n", - "1/1 [==============================] - 3s 3s/step - loss: 0.8920 - accuracy: 0.7308\n", - "Test accuracy : 0.7307692170143127\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM9.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "XL_oxa0AjP_i", - "outputId": "f24caa37-87b1-4224-f20a-2ca21031408a" - }, - "execution_count": 66, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 2s 2s/step - loss: 1.7097 - accuracy: 0.6923\n", - "Test accuracy : 0.692307710647583\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = modelM10.evaluate(test_dataset)\n", - "print('Test accuracy :', accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "scl4ELINjQD7", - "outputId": "94c262fa-e898-4863-f499-95b95aafaac1" - }, - "execution_count": 67, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 5s 5s/step - loss: 1.5947 - accuracy: 0.6154\n", - "Test accuracy : 0.6153846383094788\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Demonstration for model M3 ResNet152V2\n", - "\n", - "# Retrieve a batch of images from the test set\n", - "image_batch, label_batch = test_dataset.as_numpy_iterator().next()\n", - "predictions = model.predict_on_batch(image_batch).flatten()\n", - "\n", - "# Apply a sigmoid since our model returns logits\n", - "predictions = tensorflow.nn.sigmoid(predictions)\n", - "predictions = tensorflow.where(predictions < 0.5, 0, 1)\n", - "\n", - "print('Predictions:\\n', predictions.numpy())\n", - "print('Labels:\\n', label_batch)\n", - "\n", - "plt.figure(figsize=(10, 10))\n", - "for i in range(26):\n", - " ax = plt.subplot(8, 5, i + 1)\n", - " plt.imshow(image_batch[i].astype(\"uint8\"))\n", - " plt.title(class_names[predictions[i]])\n", - " plt.axis(\"off\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 525 - }, - "id": "C0KnR2tH_fAS", - "outputId": "cdd79f0b-57e1-47dd-e469-984500518592" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predictions:\n", - " [1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]\n", - "Labels:\n", - " [0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1]\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Step 9 - Image level testing" - ], - "metadata": { - "id": "f7H2fd8-kwqE" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Image size setting for models" - ], - "metadata": { - "id": "szfZglYIk2Wq" - } - }, - { - "cell_type": "markdown", - "source": [ - "Setting to be updated before testing model M6 and M8." - ], - "metadata": { - "id": "xLHgIpVun_f_" - } - }, - { - "cell_type": "code", - "source": [ - "# For all models, except for model M6 and M8\n", - "IMG_SIZE = (150, 150)\n", - "\n", - "# Create test dataset with dataset from directory method\n", - "test_dataset = tensorflow.keras.utils.image_dataset_from_directory(test_dir,\n", - " shuffle=False,\n", - " batch_size=BATCH_SIZE,\n", - " image_size=IMG_SIZE)\n", - "\n", - "# Performance enhancement\n", - "AUTOTUNE = tensorflow.data.AUTOTUNE\n", - "\n", - "test_dataset = test_dataset.prefetch(buffer_size=AUTOTUNE)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "TRrtdrQnk00S", - "outputId": "056e9048-ee49-4995-ca5f-91272dfc13aa" - }, - "execution_count": 73, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 26 files belonging to 2 classes.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# For model M6\n", - "IMG_SIZE = (160, 160)\n", - "\n", - "# Create test dataset with dataset from directory method\n", - "test_dataset = tensorflow.keras.utils.image_dataset_from_directory(test_dir,\n", - " shuffle=False,\n", - " batch_size=BATCH_SIZE,\n", - " image_size=IMG_SIZE)\n", - "\n", - "# Performance enhancement\n", - "AUTOTUNE = tensorflow.data.AUTOTUNE\n", - "\n", - "test_dataset = test_dataset.prefetch(buffer_size=AUTOTUNE)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "FOQfFKIEk02j", - "outputId": "beef6e8a-9015-46f9-dd2d-b478c35110a4" - }, - "execution_count": 107, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 26 files belonging to 2 classes.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# For model M8\n", - "IMG_SIZE = (224, 224)\n", - "\n", - "# Create test dataset with dataset from directory method\n", - "test_dataset = tensorflow.keras.utils.image_dataset_from_directory(test_dir,\n", - " shuffle=False,\n", - " batch_size=BATCH_SIZE,\n", - " image_size=IMG_SIZE)\n", - "\n", - "# Performance enhancement\n", - "AUTOTUNE = tensorflow.data.AUTOTUNE\n", - "\n", - "test_dataset = test_dataset.prefetch(buffer_size=AUTOTUNE)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "-JF0ATu7k05i", - "outputId": "799d5173-c378-418f-bdf8-01690d563599" - }, - "execution_count": 111, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 26 files belonging to 2 classes.\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Testing" - ], - "metadata": { - "id": "pJ1HYNk1wv1D" - } - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M1" - ], - "metadata": { - "id": "QnuVkyJul3WJ" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM1.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "8EreqYGqk08D", - "outputId": "789bc27b-1732-47fe-d337-e57329a7b2be" - }, - "execution_count": 76, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is deepfake\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is deepfake\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM1.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "Lh_xSswxl1bS", - "outputId": "3d2375bb-b034-4816-b955-981b2eb9b064" - }, - "execution_count": 77, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is deepfake\n", - "EM_0.mp40.jpgF.jpg is deepfake\n", - "EM_0.mp4120.jpgF.jpg is deepfake\n", - "JL_0.mp40.jpgF.jpg is deepfake\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is deepfake\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 12 # real faces predicted as real\n", - "TN = true_neg = 6 # fake faces predicted as fake\n", - "FP = false_pos = 6 # fake faces predicted as real\n", - "FN = false_neg = 2 # real faces predicted as fake\n", - "M1results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M1results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M1results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M1results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M1results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M1results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M1results[metric] = 2 / (1 / M1results[\"PPV\"] + 1 / M1results[\"TPR\"])\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M1results[metric] = num / den\n", - "print(f\"{metric} is {M1results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "p6l7vBaXmpCU", - "outputId": "8e573d6a-db34-4c67-a345-0498d90149b0" - }, - "execution_count": 84, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.692\n", - "TPR is 0.857\n", - "TNR is 0.500\n", - "PPV is 0.667\n", - "NPV is 0.750\n", - "F1 is 0.750\n", - "MCC is 0.386\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M2" - ], - "metadata": { - "id": "LtQxaODKmKxq" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM2.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "vZ6CkjTBl1di", - "outputId": "50b82cbc-eee6-4052-a48d-4f818056dd40" - }, - "execution_count": 79, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is deepfake\n", - "BO_1.mp4120.jpgF.jpg is deepfake\n", - "BO_1.mp4240.jpgF.jpg is deepfake\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is deepfake\n", - "TC_1.mp40.jpgF.jpg is deepfake\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM2.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "JIhLPl6vl1fz", - "outputId": "416d420f-fa6d-4882-c8e0-f334db2dc51d" - }, - "execution_count": 80, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is deepfake\n", - "BO_0.mp4120.jpgF.jpg is real\n", - "EM_0.mp40.jpgF.jpg is deepfake\n", - "EM_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is deepfake\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is deepfake\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 9 # real faces predicted as real\n", - "TN = true_neg = 5 # fake faces predicted as fake\n", - "FP = false_pos = 7 # fake faces predicted as real\n", - "FN = false_neg = 5 # real faces predicted as fake\n", - "M2results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M2results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M2results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M2results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M2results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M2results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M2results[metric] = 2 / (1 / M2results[\"PPV\"] + 1 / M2results[\"TPR\"])\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M2results[metric] = num / den\n", - "print(f\"{metric} is {M2results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "7OV_gt2PmoAR", - "outputId": "afcbfa0b-0834-4828-d167-4438a13730b6" - }, - "execution_count": 85, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.538\n", - "TPR is 0.643\n", - "TNR is 0.417\n", - "PPV is 0.562\n", - "NPV is 0.500\n", - "F1 is 0.600\n", - "MCC is 0.061\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M3" - ], - "metadata": { - "id": "58E3iyQ_mMAS" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM3.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "D-TAxUN8l1hi", - "outputId": "efc04e03-1ae5-4838-c12d-d930224d9012" - }, - "execution_count": 82, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is real\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM3.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "GkVgdAfxl1jy", - "outputId": "a7bf4ce7-f02e-4d7c-c8e4-158fb70b0180" - }, - "execution_count": 83, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is deepfake\n", - "EM_0.mp40.jpgF.jpg is real\n", - "EM_0.mp4120.jpgF.jpg is deepfake\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is real\n", - "QE_0.mp4240.jpgF.jpg is real\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 14 # real faces predicted as real\n", - "TN = true_neg = 2 # fake faces predicted as fake\n", - "FP = false_pos = 10 # fake faces predicted as real\n", - "FN = false_neg = 0 # real faces predicted as fake\n", - "M3results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M3results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M3results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M3results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M3results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M3results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M3results[metric] = 2 / (1 / M3results[\"PPV\"] + 1 / M3results[\"TPR\"])\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M3results[metric] = num / den\n", - "print(f\"{metric} is {M3results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "EStud2xZmni-", - "outputId": "a1fc8eef-abcb-4ea0-b973-cd1c433a3808" - }, - "execution_count": 86, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.615\n", - "TPR is 1.000\n", - "TNR is 0.167\n", - "PPV is 0.583\n", - "NPV is 1.000\n", - "F1 is 0.737\n", - "MCC is 0.312\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M4" - ], - "metadata": { - "id": "FzcB3O9_mNMv" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM4.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "ag11Yz2Zl1l7", - "outputId": "f1022d9c-a643-4250-8a58-76ebdb645a16" - }, - "execution_count": 87, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is deepfake\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM4.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "BomQBt-7l1oT", - "outputId": "18af096c-b0a6-41a4-d86f-59c17350c5a8" - }, - "execution_count": 88, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is real\n", - "EM_0.mp40.jpgF.jpg is deepfake\n", - "EM_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is deepfake\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is deepfake\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 13 # real faces predicted as real\n", - "TN = true_neg = 4 # fake faces predicted as fake\n", - "FP = false_pos = 8 # fake faces predicted as real\n", - "FN = false_neg = 1 # real faces predicted as fake\n", - "M4results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M4results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M4results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M4results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M4results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M4results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M4results[metric] = 2 / (1 / M4results[\"PPV\"] + 1 / M4results[\"TPR\"])\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M4results[metric] = num / den\n", - "print(f\"{metric} is {M4results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "DI17sNccmnNa", - "outputId": "eb4ed3d8-ffae-41f4-a14e-0494178b04cd" - }, - "execution_count": 89, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.654\n", - "TPR is 0.929\n", - "TNR is 0.333\n", - "PPV is 0.619\n", - "NPV is 0.800\n", - "F1 is 0.743\n", - "MCC is 0.331\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M5" - ], - "metadata": { - "id": "wcyEjl-vmOaC" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM5.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "Ly8gQ29weXJpZ2h0IDIwMTcgR29vZ2xlIExMQwovLwovLyBMaWNlbnNlZCB1bmRlciB0aGUgQXBhY2hlIExpY2Vuc2UsIFZlcnNpb24gMi4wICh0aGUgIkxpY2Vuc2UiKTsKLy8geW91IG1heSBub3QgdXNlIHRoaXMgZmlsZSBleGNlcHQgaW4gY29tcGxpYW5jZSB3aXRoIHRoZSBMaWNlbnNlLgovLyBZb3UgbWF5IG9idGFpbiBhIGNvcHkgb2YgdGhlIExpY2Vuc2UgYXQKLy8KLy8gICAgICBodHRwOi8vd3d3LmFwYWNoZS5vcmcvbGljZW5zZXMvTElDRU5TRS0yLjAKLy8KLy8gVW5sZXNzIHJlcXVpcmVkIGJ5IGFwcGxpY2FibGUgbGF3IG9yIGFncmVlZCB0byBpbiB3cml0aW5nLCBzb2Z0d2FyZQovLyBkaXN0cmlidXRlZCB1bmRlciB0aGUgTGljZW5zZSBpcyBkaXN0cmlidXRlZCBvbiBhbiAiQVMgSVMiIEJBU0lTLAovLyBXSVRIT1VUIFdBUlJBTlRJRVMgT1IgQ09ORElUSU9OUyBPRiBBTlkgS0lORCwgZWl0aGVyIGV4cHJlc3Mgb3IgaW1wbGllZC4KLy8gU2VlIHRoZSBMaWNlbnNlIGZvciB0aGUgc3BlY2lmaWMgbGFuZ3VhZ2UgZ292ZXJuaW5nIHBlcm1pc3Npb25zIGFuZAovLyBsaW1pdGF0aW9ucyB1bmRlciB0aGUgTGljZW5zZS4KCi8qKgogKiBAZmlsZW92ZXJ2aWV3IEhlbHBlcnMgZm9yIGdvb2dsZS5jb2xhYiBQeXRob24gbW9kdWxlLgogKi8KKGZ1bmN0aW9uKHNjb3BlKSB7CmZ1bmN0aW9uIHNwYW4odGV4dCwgc3R5bGVBdHRyaWJ1dGVzID0ge30pIHsKICBjb25zdCBlbGVtZW50ID0gZG9jdW1lbnQuY3JlYXRlRWxlbWVudCgnc3BhbicpOwogIGVsZW1lbnQudGV4dENvbnRlbnQgPSB0ZXh0OwogIGZvciAoY29uc3Qga2V5IG9mIE9iamVjdC5rZXlzKHN0eWxlQXR0cmlidXRlcykpIHsKICAgIGVsZW1lbnQuc3R5bGVba2V5XSA9IHN0eWxlQXR0cmlidXRlc1trZXldOwogIH0KICByZXR1cm4gZWxlbWVudDsKfQoKLy8gTWF4IG51bWJlciBvZiBieXRlcyB3aGljaCB3aWxsIGJlIHVwbG9hZGVkIGF0IGEgdGltZS4KY29uc3QgTUFYX1BBWUxPQURfU0laRSA9IDEwMCAqIDEwMjQ7CgpmdW5jdGlvbiBfdXBsb2FkRmlsZXMoaW5wdXRJZCwgb3V0cHV0SWQpIHsKICBjb25zdCBzdGVwcyA9IHVwbG9hZEZpbGVzU3RlcChpbnB1dElkLCBvdXRwdXRJZCk7CiAgY29uc3Qgb3V0cHV0RWxlbWVudCA9IGRvY3VtZW50LmdldEVsZW1lbnRCeUlkKG91dHB1dElkKTsKICAvLyBDYWNoZSBzdGVwcyBvbiB0aGUgb3V0cHV0RWxlbWVudCB0byBtYWtlIGl0IGF2YWlsYWJsZSBmb3IgdGhlIG5leHQgY2FsbAogIC8vIHRvIHVwbG9hZEZpbGVzQ29udGludWUgZnJvbSBQeXRob24uCiAgb3V0cHV0RWxlbWVudC5zdGVwcyA9IHN0ZXBzOwoKICByZXR1cm4gX3VwbG9hZEZpbGVzQ29udGludWUob3V0cHV0SWQpOwp9CgovLyBUaGlzIGlzIHJvdWdobHkgYW4gYXN5bmMgZ2VuZXJhdG9yIChub3Qgc3VwcG9ydGVkIGluIHRoZSBicm93c2VyIHlldCksCi8vIHdoZXJlIHRoZXJlIGFyZSBtdWx0aXBsZSBhc3luY2hyb25vdXMgc3RlcHMgYW5kIHRoZSBQeXRob24gc2lkZSBpcyBnb2luZwovLyB0byBwb2xsIGZvciBjb21wbGV0aW9uIG9mIGVhY2ggc3RlcC4KLy8gVGhpcyB1c2VzIGEgUHJvbWlzZSB0byBibG9jayB0aGUgcHl0aG9uIHNpZGUgb24gY29tcGxldGlvbiBvZiBlYWNoIHN0ZXAsCi8vIHRoZW4gcGFzc2VzIHRoZSByZXN1bHQgb2YgdGhlIHByZXZpb3VzIHN0ZXAgYXMgdGhlIGlucHV0IHRvIHRoZSBuZXh0IHN0ZXAuCmZ1bmN0aW9uIF91cGxvYWRGaWxlc0NvbnRpbnVlKG91dHB1dElkKSB7CiAgY29uc3Qgb3V0cHV0RWxlbWVudCA9IGRvY3VtZW50LmdldEVsZW1lbnRCeUlkKG91dHB1dElkKTsKICBjb25zdCBzdGVwcyA9IG91dHB1dEVsZW1lbnQuc3RlcHM7CgogIGNvbnN0IG5leHQgPSBzdGVwcy5uZXh0KG91dHB1dEVsZW1lbnQubGFzdFByb21pc2VWYWx1ZSk7CiAgcmV0dXJuIFByb21pc2UucmVzb2x2ZShuZXh0LnZhbHVlLnByb21pc2UpLnRoZW4oKHZhbHVlKSA9PiB7CiAgICAvLyBDYWNoZSB0aGUgbGFzdCBwcm9taXNlIHZhbHVlIHRvIG1ha2UgaXQgYXZhaWxhYmxlIHRvIHRoZSBuZXh0CiAgICAvLyBzdGVwIG9mIHRoZSBnZW5lcmF0b3IuCiAgICBvdXRwdXRFbGVtZW50Lmxhc3RQcm9taXNlVmFsdWUgPSB2YWx1ZTsKICAgIHJldHVybiBuZXh0LnZhbHVlLnJlc3BvbnNlOwogIH0pOwp9CgovKioKICogR2VuZXJhdG9yIGZ1bmN0aW9uIHdoaWNoIGlzIGNhbGxlZCBiZXR3ZWVuIGVhY2ggYXN5bmMgc3RlcCBvZiB0aGUgdXBsb2FkCiAqIHByb2Nlc3MuCiAqIEBwYXJhbSB7c3RyaW5nfSBpbnB1dElkIEVsZW1lbnQgSUQgb2YgdGhlIGlucHV0IGZpbGUgcGlja2VyIGVsZW1lbnQuCiAqIEBwYXJhbSB7c3RyaW5nfSBvdXRwdXRJZCBFbGVtZW50IElEIG9mIHRoZSBvdXRwdXQgZGlzcGxheS4KICogQHJldHVybiB7IUl0ZXJhYmxlPCFPYmplY3Q+fSBJdGVyYWJsZSBvZiBuZXh0IHN0ZXBzLgogKi8KZnVuY3Rpb24qIHVwbG9hZEZpbGVzU3RlcChpbnB1dElkLCBvdXRwdXRJZCkgewogIGNvbnN0IGlucHV0RWxlbWVudCA9IGRvY3VtZW50LmdldEVsZW1lbnRCeUlkKGlucHV0SWQpOwogIGlucHV0RWxlbWVudC5kaXNhYmxlZCA9IGZhbHNlOwoKICBjb25zdCBvdXRwdXRFbGVtZW50ID0gZG9jdW1lbnQuZ2V0RWxlbWVudEJ5SWQob3V0cHV0SWQpOwogIG91dHB1dEVsZW1lbnQuaW5uZXJIVE1MID0gJyc7CgogIGNvbnN0IHBpY2tlZFByb21pc2UgPSBuZXcgUHJvbWlzZSgocmVzb2x2ZSkgPT4gewogICAgaW5wdXRFbGVtZW50LmFkZEV2ZW50TGlzdGVuZXIoJ2NoYW5nZScsIChlKSA9PiB7CiAgICAgIHJlc29sdmUoZS50YXJnZXQuZmlsZXMpOwogICAgfSk7CiAgfSk7CgogIGNvbnN0IGNhbmNlbCA9IGRvY3VtZW50LmNyZWF0ZUVsZW1lbnQoJ2J1dHRvbicpOwogIGlucHV0RWxlbWVudC5wYXJlbnRFbGVtZW50LmFwcGVuZENoaWxkKGNhbmNlbCk7CiAgY2FuY2VsLnRleHRDb250ZW50ID0gJ0NhbmNlbCB1cGxvYWQnOwogIGNvbnN0IGNhbmNlbFByb21pc2UgPSBuZXcgUHJvbWlzZSgocmVzb2x2ZSkgPT4gewogICAgY2FuY2VsLm9uY2xpY2sgPSAoKSA9PiB7CiAgICAgIHJlc29sdmUobnVsbCk7CiAgICB9OwogIH0pOwoKICAvLyBXYWl0IGZvciB0aGUgdXNlciB0byBwaWNrIHRoZSBmaWxlcy4KICBjb25zdCBmaWxlcyA9IHlpZWxkIHsKICAgIHByb21pc2U6IFByb21pc2UucmFjZShbcGlja2VkUHJvbWlzZSwgY2FuY2VsUHJvbWlzZV0pLAogICAgcmVzcG9uc2U6IHsKICAgICAgYWN0aW9uOiAnc3RhcnRpbmcnLAogICAgfQogIH07CgogIGNhbmNlbC5yZW1vdmUoKTsKCiAgLy8gRGlzYWJsZSB0aGUgaW5wdXQgZWxlbWVudCBzaW5jZSBmdXJ0aGVyIHBpY2tzIGFyZSBub3QgYWxsb3dlZC4KICBpbnB1dEVsZW1lbnQuZGlzYWJsZWQgPSB0cnVlOwoKICBpZiAoIWZpbGVzKSB7CiAgICByZXR1cm4gewogICAgICByZXNwb25zZTogewogICAgICAgIGFjdGlvbjogJ2NvbXBsZXRlJywKICAgICAgfQogICAgfTsKICB9CgogIGZvciAoY29uc3QgZmlsZSBvZiBmaWxlcykgewogICAgY29uc3QgbGkgPSBkb2N1bWVudC5jcmVhdGVFbGVtZW50KCdsaScpOwogICAgbGkuYXBwZW5kKHNwYW4oZmlsZS5uYW1lLCB7Zm9udFdlaWdodDogJ2JvbGQnfSkpOwogICAgbGkuYXBwZW5kKHNwYW4oCiAgICAgICAgYCgke2ZpbGUudHlwZSB8fCAnbi9hJ30pIC0gJHtmaWxlLnNpemV9IGJ5dGVzLCBgICsKICAgICAgICBgbGFzdCBtb2RpZmllZDogJHsKICAgICAgICAgICAgZmlsZS5sYXN0TW9kaWZpZWREYXRlID8gZmlsZS5sYXN0TW9kaWZpZWREYXRlLnRvTG9jYWxlRGF0ZVN0cmluZygpIDoKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgJ24vYSd9IC0gYCkpOwogICAgY29uc3QgcGVyY2VudCA9IHNwYW4oJzAlIGRvbmUnKTsKICAgIGxpLmFwcGVuZENoaWxkKHBlcmNlbnQpOwoKICAgIG91dHB1dEVsZW1lbnQuYXBwZW5kQ2hpbGQobGkpOwoKICAgIGNvbnN0IGZpbGVEYXRhUHJvbWlzZSA9IG5ldyBQcm9taXNlKChyZXNvbHZlKSA9PiB7CiAgICAgIGNvbnN0IHJlYWRlciA9IG5ldyBGaWxlUmVhZGVyKCk7CiAgICAgIHJlYWRlci5vbmxvYWQgPSAoZSkgPT4gewogICAgICAgIHJlc29sdmUoZS50YXJnZXQucmVzdWx0KTsKICAgICAgfTsKICAgICAgcmVhZGVyLnJlYWRBc0FycmF5QnVmZmVyKGZpbGUpOwogICAgfSk7CiAgICAvLyBXYWl0IGZvciB0aGUgZGF0YSB0byBiZSByZWFkeS4KICAgIGxldCBmaWxlRGF0YSA9IHlpZWxkIHsKICAgICAgcHJvbWlzZTogZmlsZURhdGFQcm9taXNlLAogICAgICByZXNwb25zZTogewogICAgICAgIGFjdGlvbjogJ2NvbnRpbnVlJywKICAgICAgfQogICAgfTsKCiAgICAvLyBVc2UgYSBjaHVua2VkIHNlbmRpbmcgdG8gYXZvaWQgbWVzc2FnZSBzaXplIGxpbWl0cy4gU2VlIGIvNjIxMTU2NjAuCiAgICBsZXQgcG9zaXRpb24gPSAwOwogICAgZG8gewogICAgICBjb25zdCBsZW5ndGggPSBNYXRoLm1pbihmaWxlRGF0YS5ieXRlTGVuZ3RoIC0gcG9zaXRpb24sIE1BWF9QQVlMT0FEX1NJWkUpOwogICAgICBjb25zdCBjaHVuayA9IG5ldyBVaW50OEFycmF5KGZpbGVEYXRhLCBwb3NpdGlvbiwgbGVuZ3RoKTsKICAgICAgcG9zaXRpb24gKz0gbGVuZ3RoOwoKICAgICAgY29uc3QgYmFzZTY0ID0gYnRvYShTdHJpbmcuZnJvbUNoYXJDb2RlLmFwcGx5KG51bGwsIGNodW5rKSk7CiAgICAgIHlpZWxkIHsKICAgICAgICByZXNwb25zZTogewogICAgICAgICAgYWN0aW9uOiAnYXBwZW5kJywKICAgICAgICAgIGZpbGU6IGZpbGUubmFtZSwKICAgICAgICAgIGRhdGE6IGJhc2U2NCwKICAgICAgICB9LAogICAgICB9OwoKICAgICAgbGV0IHBlcmNlbnREb25lID0gZmlsZURhdGEuYnl0ZUxlbmd0aCA9PT0gMCA/CiAgICAgICAgICAxMDAgOgogICAgICAgICAgTWF0aC5yb3VuZCgocG9zaXRpb24gLyBmaWxlRGF0YS5ieXRlTGVuZ3RoKSAqIDEwMCk7CiAgICAgIHBlcmNlbnQudGV4dENvbnRlbnQgPSBgJHtwZXJjZW50RG9uZX0lIGRvbmVgOwoKICAgIH0gd2hpbGUgKHBvc2l0aW9uIDwgZmlsZURhdGEuYnl0ZUxlbmd0aCk7CiAgfQoKICAvLyBBbGwgZG9uZS4KICB5aWVsZCB7CiAgICByZXNwb25zZTogewogICAgICBhY3Rpb246ICdjb21wbGV0ZScsCiAgICB9CiAgfTsKfQoKc2NvcGUuZ29vZ2xlID0gc2NvcGUuZ29vZ2xlIHx8IHt9OwpzY29wZS5nb29nbGUuY29sYWIgPSBzY29wZS5nb29nbGUuY29sYWIgfHwge307CnNjb3BlLmdvb2dsZS5jb2xhYi5fZmlsZXMgPSB7CiAgX3VwbG9hZEZpbGVzLAogIF91cGxvYWRGaWxlc0NvbnRpbnVlLAp9Owp9KShzZWxmKTsK", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "g60yujpuk0-C", - "outputId": "95909231-1c28-403b-a916-6118a700e546" - }, - "execution_count": 90, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is deepfake\n", - "BO_1.mp4240.jpgF.jpg is deepfake\n", - "EM_1.mp40.jpgF.jpg is deepfake\n", - "EM_1.mp4120.jpgF.jpg is deepfake\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM5.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "aGh-61RCk1Ay", - "outputId": "05596ab8-389a-481f-9771-b379f18bb62f" - }, - "execution_count": 91, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is deepfake\n", - "BO_0.mp4120.jpgF.jpg is deepfake\n", - "EM_0.mp40.jpgF.jpg is deepfake\n", - "EM_0.mp4120.jpgF.jpg is deepfake\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is deepfake\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 10 # real faces predicted as real\n", - "TN = true_neg = 6 # fake faces predicted as fake\n", - "FP = false_pos = 6 # fake faces predicted as real\n", - "FN = false_neg = 4 # real faces predicted as fake\n", - "M5results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M5results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M5results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M5results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M5results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M5results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M5results[metric] = 2 / (1 / M5results[\"PPV\"] + 1 / M5results[\"TPR\"])\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M5results[metric] = num / den\n", - "print(f\"{metric} is {M5results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "eYCDoKE8mmwq", - "outputId": "a21c946e-f8fa-4cb1-bbb7-a14f7a944bb7" - }, - "execution_count": 92, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.615\n", - "TPR is 0.714\n", - "TNR is 0.500\n", - "PPV is 0.625\n", - "NPV is 0.600\n", - "F1 is 0.667\n", - "MCC is 0.220\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M6" - ], - "metadata": { - "id": "dJjJUMq0mPfZ" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(160, 160))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM6.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "2MeDhnBlk1Dp", - "outputId": "88ac1d60-18c0-43d6-db6a-ac7b5a0b7fb3" - }, - "execution_count": 108, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is deepfake\n", - "BO_1.mp4240.jpgF.jpg is deepfake\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is deepfake\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is deepfake\n", - "QE_1.mp4120.jpgF.jpg is deepfake\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(160, 160))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM6.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "M12p9PGAk1Gj", - "outputId": "3389b720-457c-4d0e-87d1-e614e2144dbb" - }, - "execution_count": 109, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is deepfake\n", - "BO_0.mp4120.jpgF.jpg is real\n", - "EM_0.mp40.jpgF.jpg is deepfake\n", - "EM_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is deepfake\n", - "JL_0.mp4240.jpgF.jpg is deepfake\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is deepfake\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is deepfake\n", - "TC_0.mp4240.jpgF.jpg is deepfake\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 9 # real faces predicted as real\n", - "TN = true_neg = 8 # fake faces predicted as fake\n", - "FP = false_pos = 4 # fake faces predicted as real\n", - "FN = false_neg = 5 # real faces predicted as fake\n", - "M6results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M6results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M6results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M6results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M6results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M6results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M6results[metric] = 2 / (1 / M6results[\"PPV\"] + 1 / M6results[\"TPR\"])\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M6results[metric] = num / den\n", - "print(f\"{metric} is {M6results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "nhL1uKwTmmYZ", - "outputId": "e1eae3c7-adf8-4089-bda9-a8e83491271d" - }, - "execution_count": 110, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.654\n", - "TPR is 0.643\n", - "TNR is 0.667\n", - "PPV is 0.692\n", - "NPV is 0.615\n", - "F1 is 0.667\n", - "MCC is 0.309\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M7" - ], - "metadata": { - "id": "tzFPdFoQmQfE" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM7.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "8W2f7loFk1JS", - "outputId": "27f29aca-ff0c-48b0-bbf9-a160aab1c1cb" - }, - "execution_count": 93, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is real\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM7.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "8WMkWQxQk1Oa", - "outputId": "b09131cc-0828-495e-b934-2c0973387c88" - }, - "execution_count": 94, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is real\n", - "EM_0.mp40.jpgF.jpg is real\n", - "EM_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is real\n", - "QE_0.mp4240.jpgF.jpg is real\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 14 # real faces predicted as real\n", - "TN = true_neg = 0 # fake faces predicted as fake\n", - "FP = false_pos = 12 # fake faces predicted as real\n", - "FN = false_neg = 0 # real faces predicted as fake\n", - "M7results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M7results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M7results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M7results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M7results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "if (TN + FN) == 0:\n", - " M7results[metric] = 0.000\n", - "else:\n", - " M7results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M7results[metric] = 2 / (1 / M7results[\"PPV\"] + 1 / M7results[\"TPR\"])\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "\n", - "if den == 0:\n", - " M7results[metric] = 0.000\n", - "else:\n", - " M7results[metric] = num / den\n", - "print(f\"{metric} is {M7results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "dxQM6BDWmmI5", - "outputId": "34e7cfac-3e4a-4c4f-cfae-f74a8dc56e5e" - }, - "execution_count": 101, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.538\n", - "TPR is 1.000\n", - "TNR is 0.000\n", - "PPV is 0.538\n", - "NPV is 0.000\n", - "F1 is 0.700\n", - "MCC is 0.000\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M8" - ], - "metadata": { - "id": "4LP_Tv2JmR-U" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(224, 224))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM8.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "vwwznKxZmUV5", - "outputId": "520a5e3c-ca58-45e0-bb21-766e70909308" - }, - "execution_count": 112, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is real\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(224, 224))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM8.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "wdE3DFECmUYC", - "outputId": "b888a85d-bc15-44aa-9eba-baa34800befe" - }, - "execution_count": 113, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is deepfake\n", - "EM_0.mp40.jpgF.jpg is real\n", - "EM_0.mp4120.jpgF.jpg is deepfake\n", - "JL_0.mp40.jpgF.jpg is deepfake\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is real\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is deepfake\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 14 # real faces predicted as real\n", - "TN = true_neg = 5 # fake faces predicted as fake\n", - "FP = false_pos = 7 # fake faces predicted as real\n", - "FN = false_neg = 0 # real faces predicted as fake\n", - "M8results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M8results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M8results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M8results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M8results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M8results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M8results[metric] = 2 / (1 / M8results[\"PPV\"] + 1 / M8results[\"TPR\"])\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M8results[metric] = num / den\n", - "print(f\"{metric} is {M8results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "f5mqvsZBmlpR", - "outputId": "21acd05b-98d9-4830-fa28-427a4fcff4f7" - }, - "execution_count": 114, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.731\n", - "TPR is 1.000\n", - "TNR is 0.417\n", - "PPV is 0.667\n", - "NPV is 1.000\n", - "F1 is 0.800\n", - "MCC is 0.527\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M9" - ], - "metadata": { - "id": "f9l6wnM5mSAo" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM9.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "8rezoywhmV0y", - "outputId": "b1b365bf-534b-4601-b784-4a9e8ea23c5f" - }, - "execution_count": 96, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is real\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is real\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is real\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM9.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "OahPCrKwmV5s", - "outputId": "bd408a64-81b3-46ff-d437-1fe21550740b" - }, - "execution_count": 102, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is real\n", - "EM_0.mp40.jpgF.jpg is real\n", - "EM_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is deepfake\n", - "TC_0.mp40.jpgF.jpg is real\n", - "TC_0.mp4120.jpgF.jpg is real\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 14 # real faces predicted as real\n", - "TN = true_neg = 2 # fake faces predicted as fake\n", - "FP = false_pos = 10 # fake faces predicted as real\n", - "FN = false_neg = 0 # real faces predicted as fake\n", - "M9results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M9results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M9results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M9results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M9results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M9results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M9results[metric] = 2 / (1 / M9results[\"PPV\"] + 1 / M9results[\"TPR\"])\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M9results[metric] = num / den\n", - "print(f\"{metric} is {M9results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "hgZceKbcmlQb", - "outputId": "9421a041-2e40-4b1d-c80f-50be78fb7e85" - }, - "execution_count": 103, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.615\n", - "TPR is 1.000\n", - "TNR is 0.167\n", - "PPV is 0.583\n", - "NPV is 1.000\n", - "F1 is 0.737\n", - "MCC is 0.312\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#### Model M10" - ], - "metadata": { - "id": "UX0tMeI8mSC5" - } - }, - { - "cell_type": "code", - "source": [ - "# Upload the real faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Real/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM10.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 797 - }, - "id": "QGI26M_6mXMz", - "outputId": "80692b6a-8b80-4302-ee89-50126207ae15" - }, - "execution_count": 104, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_1.mp40.jpgF.jpg to BO_1.mp40.jpgF.jpg\n", - "Saving BO_1.mp4120.jpgF.jpg to BO_1.mp4120.jpgF.jpg\n", - "Saving BO_1.mp4240.jpgF.jpg to BO_1.mp4240.jpgF.jpg\n", - "Saving EM_1.mp40.jpgF.jpg to EM_1.mp40.jpgF.jpg\n", - "Saving EM_1.mp4120.jpgF.jpg to EM_1.mp4120.jpgF.jpg\n", - "Saving EM_1.mp4240.jpgF.jpg to EM_1.mp4240.jpgF.jpg\n", - "Saving JL_1.mp40.jpgF.jpg to JL_1.mp40.jpgF.jpg\n", - "Saving JL_1.mp4120.jpgF.jpg to JL_1.mp4120.jpgF.jpg\n", - "Saving JL_1.mp4240.jpgF.jpg to JL_1.mp4240.jpgF.jpg\n", - "Saving QE_1.mp40.jpgF.jpg to QE_1.mp40.jpgF.jpg\n", - "Saving QE_1.mp4120.jpgF.jpg to QE_1.mp4120.jpgF.jpg\n", - "Saving QE_1.mp4240.jpgF.jpg to QE_1.mp4240.jpgF.jpg\n", - "Saving TC_1.mp40.jpgF.jpg to TC_1.mp40.jpgF.jpg\n", - "Saving TC_1.mp4120.jpgF.jpg to TC_1.mp4120.jpgF.jpg\n", - "BO_1.mp40.jpgF.jpg is real\n", - "BO_1.mp4120.jpgF.jpg is real\n", - "BO_1.mp4240.jpgF.jpg is real\n", - "EM_1.mp40.jpgF.jpg is real\n", - "EM_1.mp4120.jpgF.jpg is real\n", - "EM_1.mp4240.jpgF.jpg is real\n", - "JL_1.mp40.jpgF.jpg is deepfake\n", - "JL_1.mp4120.jpgF.jpg is real\n", - "JL_1.mp4240.jpgF.jpg is deepfake\n", - "QE_1.mp40.jpgF.jpg is real\n", - "QE_1.mp4120.jpgF.jpg is real\n", - "QE_1.mp4240.jpgF.jpg is real\n", - "TC_1.mp40.jpgF.jpg is real\n", - "TC_1.mp4120.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Upload the fake faces to make prediction \n", - "import numpy as np\n", - "from google.colab import files\n", - "from keras.preprocessing import image\n", - "\n", - "uploaded = files.upload()\n", - "\n", - "for fn in uploaded.keys():\n", - " \n", - " # predicting images\n", - " path = '/content/GDrive/My Drive/MyVideo/Faces/Fake/' + fn\n", - " img = image.load_img(path, target_size=(150, 150))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - "\n", - " images = np.vstack([x])\n", - " classes = modelM10.predict(images, batch_size=1)\n", - " if classes[0]>0.5:\n", - " print(fn + \" is real\")\n", - " else:\n", - " print(fn + \" is deepfake\")" - ], - "metadata": { - "colab": { - "resources": { - "http://localhost:8080/nbextensions/google.colab/files.js": { - "data": "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- "ok": true, - "headers": [ - [ - "content-type", - "application/javascript" - ] - ], - "status": 200, - "status_text": "" - } - }, - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "K8QwUuXDmXPB", - "outputId": "788174d2-b91f-48c2-f9ef-ffdfe8eb831f" - }, - "execution_count": 105, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BO_0.mp40.jpgF.jpg to BO_0.mp40.jpgF.jpg\n", - "Saving BO_0.mp4120.jpgF.jpg to BO_0.mp4120.jpgF.jpg\n", - "Saving EM_0.mp40.jpgF.jpg to EM_0.mp40.jpgF.jpg\n", - "Saving EM_0.mp4120.jpgF.jpg to EM_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp40.jpgF.jpg to JL_0.mp40.jpgF.jpg\n", - "Saving JL_0.mp4120.jpgF.jpg to JL_0.mp4120.jpgF.jpg\n", - "Saving JL_0.mp4240.jpgF.jpg to JL_0.mp4240.jpgF.jpg\n", - "Saving QE_0.mp4120.jpgF.jpg to QE_0.mp4120.jpgF.jpg\n", - "Saving QE_0.mp4240.jpgF.jpg to QE_0.mp4240.jpgF.jpg\n", - "Saving TC_0.mp40.jpgF.jpg to TC_0.mp40.jpgF.jpg\n", - "Saving TC_0.mp4120.jpgF.jpg to TC_0.mp4120.jpgF.jpg\n", - "Saving TC_0.mp4240.jpgF.jpg to TC_0.mp4240.jpgF.jpg\n", - "BO_0.mp40.jpgF.jpg is real\n", - "BO_0.mp4120.jpgF.jpg is deepfake\n", - "EM_0.mp40.jpgF.jpg is deepfake\n", - "EM_0.mp4120.jpgF.jpg is deepfake\n", - "JL_0.mp40.jpgF.jpg is real\n", - "JL_0.mp4120.jpgF.jpg is real\n", - "JL_0.mp4240.jpgF.jpg is real\n", - "QE_0.mp4120.jpgF.jpg is deepfake\n", - "QE_0.mp4240.jpgF.jpg is real\n", - "TC_0.mp40.jpgF.jpg is deepfake\n", - "TC_0.mp4120.jpgF.jpg is deepfake\n", - "TC_0.mp4240.jpgF.jpg is real\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Figures for performance calculation\n", - "TP = true_pos = 12 # real faces predicted as real\n", - "TN = true_neg = 6 # fake faces predicted as fake\n", - "FP = false_pos = 6 # fake faces predicted as real\n", - "FN = false_neg = 2 # real faces predicted as fake\n", - "M10results = {}\n", - "\n", - "# Accuracy\n", - "# Accuracy: the number of correctly predicted samples / total number of samples\n", - "metric = \"ACC\"\n", - "M10results[metric] = (TP + TN) / (TP + TN + FP + FN)\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")\n", - "\n", - "# True Positive Rate\n", - "# Recall / Sensitivity: the number of samples actually and predicted as Positive / total number of samples actually Positive\n", - "metric = \"TPR\"\n", - "M10results[metric] = TP / (TP + FN)\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")\n", - "\n", - "# True Negative Rate\n", - "# Specificity: the number of samples actually and predicted as Negative / total number of samples actually Negative\n", - "metric = \"TNR\"\n", - "M10results[metric] = TN / (TN + FP)\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")\n", - "\n", - "# Positive Predictive Value\n", - "# Precision: the number of samples actually and predicted as Positive / total number of samples predicted as Positive\n", - "metric = \"PPV\"\n", - "M10results[metric] = TP / (TP + FP)\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")\n", - "\n", - "# Negative Predictive Value\n", - "# The number of samples actually and predicted as Negative / total number of samples predicted as Negative\n", - "metric = \"NPV\"\n", - "M10results[metric] = TN / (TN + FN)\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")\n", - "\n", - "# F1 score\n", - "# Harmonic Mean of Precision and Recall\n", - "metric = \"F1\"\n", - "M10results[metric] = 2 / (1 / M10results[\"PPV\"] + 1 / M10results[\"TPR\"])\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")\n", - "\n", - "# Matthew's correlation coefficient\n", - "# Matthew's coefficient range between [-1, 1]. 0 usually means totally random predictions. 1 means a perfect classifier, while a negative value ([-1, 0)) suggests a negative correlation between predictions and actual values.\n", - "metric = \"MCC\"\n", - "num = TP * TN - FP * FN\n", - "den = ((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN)) ** 0.5\n", - "M10results[metric] = num / den\n", - "print(f\"{metric} is {M10results[metric]: .3f}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "_E4ZxoNjmlBp", - "outputId": "757040a3-69d2-4a8b-c35c-4f04a63fc34e" - }, - "execution_count": 106, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "ACC is 0.692\n", - "TPR is 0.857\n", - "TNR is 0.500\n", - "PPV is 0.667\n", - "NPV is 0.750\n", - "F1 is 0.750\n", - "MCC is 0.386\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## End of notebook" - ], - "metadata": { - "id": "yGz6obgMBFRI" - } - } - ] -} \ No newline at end of file