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24 lines
997 B
Python
24 lines
997 B
Python
import torch
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from custom_nodes.facerestore.facelib.utils import load_file_from_url
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from .bisenet import BiSeNet
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from .parsenet import ParseNet
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def init_parsing_model(model_name='bisenet', half=False, device='cuda'):
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if model_name == 'bisenet':
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model = BiSeNet(num_class=19)
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model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_bisenet.pth'
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elif model_name == 'parsenet':
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model = ParseNet(in_size=512, out_size=512, parsing_ch=19)
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model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_parsenet.pth'
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else:
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raise NotImplementedError(f'{model_name} is not implemented.')
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model_path = load_file_from_url(url=model_url, model_dir='../../models/facedetection', progress=True, file_name=None)
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load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
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model.load_state_dict(load_net, strict=True)
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model.eval()
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model = model.to(device)
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return model
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