YouTube Face Extractor

This Python script downloads a YouTube video and extracts faces from the video frames, saving them with metadata in an organized directory structure.

• I have tested it on a 2 hour vlog and it took around 10 minutes to complete.

You can then run the findmatch.py file to find matches for the file in the same folder called 'example.jpg'. You can replace this image but keep the same name or update the name in the script to whatever you choose.

Prerequisites for downloading & extracting faces

Before running this script, ensure the following libraries and packages are installed:

• OpenCV-Python

• pytube

• PIL

• piexif

• concurrent.futures

  Prerequisites for checking faces

  • dlib
  • cmake
  • face_recognition

You may also need

sudo apt-get install build-essential libopenblas-dev liblapack-dev libx11-dev

If you are running this on a system with a Debian-based Linux distribution, you may also need to install the libgl1-mesa-glx package for OpenCV dependencies:

sudo apt-get install libgl1-mesa-glx

Installation

git clone https://github.com/pentestfunctions/extractfacesfromyoutube.git
cd extractfacesfromyoutube
pip install -r requirements.txt
sudo apt-get install cmake
sudo apt-get install libgl1-mesa-glx
pip install face_recognition
sudo apt-get install build-essential libopenblas-dev liblapack-dev libx11-dev

Usage

Run the script using Python and follow the on-screen prompt to enter a YouTube URL:

python extractfaces.py

The script will:

1. Download the YouTube video to a local directory.
2. Scan through video frames and detect faces.
3. Save cropped images of detected faces to a specified output folder.
4. Organize detected faces in a folder named with a zero-padded number, incrementing with each script execution.
5. Save a text file with the video's title and URL in the corresponding face folder.

• It will also add the video title and URL as exif data to each image just incase you want to use it that way later.

Notes

The face detection uses a simple heuristic and may not be accurate for all videos. Adjust the is_likely_face function to improve accuracy if needed. The script is designed to be run from the command line and does not have a graphical user interface. For videos that are age-restricted, you will not be able to download them without logging in. The script does not currently support authenticated downloads.