Face recognition using dlib

Credits

This code started out as as a cut and paste from the following sources:

• http://dlib.net/face_recognition.py.html
• https://github.com/ageitgey/face_recognition/blob/master/face_recognition/api.py
• https://medium.com/towards-data-science/facial-recognition-using-deep-learning-a74e9059a150

Installation

• Install dlib: https://www.pyimagesearch.com/2017/03/27/how-to-install-dlib
• Download dlib models: http://dlib.net/files
• Download opencv classifiers: https://github.com/opencv/opencv/blob/master/data/haarcascades

Run

• Get hold of some images of people you want to recognize. One file per person will do. Name the file after the person.
• Configure faces_folder_path in source. Run with python3.

Sample

Experiments

See folder experiments. In chronological order:

• _raw: first attempt
• _dual: uses both opencv and dlib face-detection
• _faster: A relatively fast implementation using opencv for face detection (and dlib for face recognition)
• _refactor: Last attempt to tidy up