import torch from custom_nodes.facerestore.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