| import torch | |
| from r_facelib.utils import load_file_from_url | |
| from .bisenet import BiSeNet | |
| from .parsenet import ParseNet | |
| def init_parsing_model(model_name='bisenet', half=False, device='cuda'): | |
| if model_name == 'bisenet': | |
| model = BiSeNet(num_class=19) | |
| model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_bisenet.pth' | |
| elif model_name == 'parsenet': | |
| model = ParseNet(in_size=512, out_size=512, parsing_ch=19) | |
| model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_parsenet.pth' | |
| else: | |
| raise NotImplementedError(f'{model_name} is not implemented.') | |
| model_path = load_file_from_url(url=model_url, model_dir='../../models/facedetection', progress=True, file_name=None) | |
| load_net = torch.load(model_path, map_location=lambda storage, loc: storage) | |
| model.load_state_dict(load_net, strict=True) | |
| model.eval() | |
| model = model.to(device) | |
| return model | |