zllrunning / Face Parsing.pytorch
Licence: mit
Using modified BiSeNet for face parsing in PyTorch
Stars: ✭ 838
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face-parsing.PyTorch
Contents
Training
-
Prepare training data: -- download CelebAMask-HQ dataset
-- change file path in the
prepropess_data.pyand run
python prepropess_data.py
- 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
- Evaluate the trained model using:
# evaluate using GPU
python test.py
Face makeup using parsing maps
| Hair | Lip | |
|---|---|---|
| Original Input |  |
 |
| Color |  |
 |
References
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