Face Detection & Tracking & Extract

This project can detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

Introduction

• Dependencies:
  • Python 3.5+
  • Tensorflow
  • MTCNN
  • Dlib
  • Scikit-learn
  • Numpy
  • Scikit-image

Run

• To run the python version of the code you have to put all the input videos in one folder like /home/admin/videos and then provide the path of that folder as command line argument:

python3 start.py /home/admin/videos 

• Then you can find faces extracted stored in the floder ./facepics .
• If you want to draw 5 face landmarks on the face extracted,you can make the argument face_landmarks to be True

python3 start.py /home/admin/videos --face_landmarks True

What can this project do?

• You can run it to extract the optimal face for everyone from a lot of videos and use it as a training set for CNN Training.
• You can also send the extracted face to the backend for Face Recognition.

Results

Special Thanks to:

• experimenting-with-sort

License

MIT LICENSE