Face identification using webcam based on PyTorch and using OpenCV in jupyter notebook.
Steps:
1 - Libraries import - torch, torchvision, numpy, Pillow
2 - Enrollment - collects data in 2 datasets (50 images each)
3 - Images processing
4 - Sample frame check
5 - Data additional processing
6 - Save array in numpy folder
7 - Network definition
8 - Training and training loss output
9 - Real-time face detection (0::False / 1::True)