face parsing.PyTorch
1.0.0
Prepare training data: -- download CelebAMask-HQ dataset
-- change file path in the prepropess_data.py and run
python prepropess_data.py $ 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.
# evaluate using GPU
python test.pyface-makeup.PyTorch
| Hair | Lip | |
|---|---|---|
| Original Input | ![]() |
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| Color | ![]() |
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