import torch from ..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