Linzaer / Face Track Detect Extract
Licence: mit
💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
Stars: ✠434
Programming Languages
python
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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
- Scikit-learn
- Numpy
- Numba
- Opencv-python
- Filterpy
Run
- To run the python version of the code :
python3 start.py
- Then you can find faces extracted stored in the floder ./facepics .
- If you want to draw 5 face landmarks on the face extracted,you just add the argument face_landmarks
python3 start.py --face_landmarks
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:
License
MIT LICENSE
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