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Facial Finder

Set of scripts written in Python 3 using the facial recognition API wrapper for Dlib C++ Deep Learning library

Requirements

Since this script is using the Face Recognition API for the Dlib library used in Deep Learning, you're going to need CMake which is a family of tools for building, testing and packaging compiled software.

  • Download and install CMake (probably already packaged in some Linux distributions)
  • Download and install Microsoft Media Feature Pack for Windows N versions. This is required for OpenCV. This requires a reboot!

Finally, just a simple pip install -r requirements.txt should check if everything is ok.

Features

  • Facial feature highlight - Takes an image name and searches for it in the dataset folder. Then it draws the detection of eyebrows, mouth, lips and jaw.
  • Photo comparison - Reads all the photos in dataset folder as it's known faces database, then takes an image filepath to check if any picture resembles the one introduced.
  • Face detection from webcam - Reads all the photos in dataset folder as it's known faces database, then reviews webcam input to see if any face appearance matches the database.

License

MIT