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import torch
from 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='weights/facelib', 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
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