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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
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