Retinaface-Pytorch-version

It's not the best version of my model due to confidentiality

Thanks to Alvin Yang (https://github.com/supernotman/RetinaFace_Pytorch)

This is the branch for 68 landmarks detection, the pre-trained model is in ./out

Working on 96 landmarks detection( refer to the other branch)

The model also predicted the occulded part of the landmarks, can hide them if don't want them to show up.

Based on RetinaFace

current model

mobileNet V1+FPN+context module+ regressor 1.6MB CPU～10FPS GPU 50FPU

Train：（ Please refer to dataloader.py to change the file location）

python3 train.py -train This model use LS3D-W dataset，or change your dataset to the format of demo.pt/ demo.jpg（68*2 tensor）

Use local camera ：

python3 video_detect.py （ need to delete all 'cuda()', and run locally with a CPU）

Eval Model：

python3 train.py -train False

Todo:

• Use SBR and BFLD to improve performance

If you have train a model with this code, welcome to discuss with me at elvishelvis6@gmail.com