markgao-916/face-parsing.PyTorch

Using modified BiSeNet for face parsing in PyTorch

face-parsing.PyTorch

Contents

• Training
• Demo
• References

Training

1. Prepare training data: -- download CelebAMask-HQ dataset

   -- change file path in the prepropess_data.py and run

python prepropess_data.py

2. Train the model using CelebAMask-HQ dataset: Just run the train script:

    $ CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node=2 train.py

If you do not wish to train the model, you can download our pre-trained model and save it in res/cp.

Demo

1. Evaluate the trained model using:

# evaluate using GPU
python test.py

Face makeup using parsing maps

face-makeup.PyTorch

	Hair	Lip
Original Input
Color

References

• BiSeNet