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21 lines
820 B
Python
21 lines
820 B
Python
import torch
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from imaginairy.vendored.facexlib.utils import load_file_from_url
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from .hopenet_arch import HopeNet
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def init_headpose_model(model_name, half=False, device='cuda', model_rootpath=None):
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if model_name == 'hopenet':
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model = HopeNet('resnet', [3, 4, 6, 3], 66)
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model_url = 'https://github.com/xinntao/facexlib/releases/download/v0.2.0/headpose_hopenet.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(
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url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
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load_net = torch.load(model_path, map_location=lambda storage, loc: storage)['params']
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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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