| import torch |
|
|
| from extras.facexlib.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', model_rootpath=None): |
| if model_name == 'bisenet': |
| model = BiSeNet(num_class=19) |
| model_url = 'https://github.com/xinntao/facexlib/releases/download/v0.2.0/parsing_bisenet.pth' |
| elif model_name == 'parsenet': |
| model = ParseNet(in_size=512, out_size=512, parsing_ch=19) |
| model_url = 'https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth' |
| else: |
| raise NotImplementedError(f'{model_name} is not implemented.') |
|
|
| model_path = load_file_from_url( |
| url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath) |
| 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 |
|
|
