15 lines
415 B
Python
15 lines
415 B
Python
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import munch
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import torch
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from trainer.networks import register_model
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@register_model
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def register_flownet2(opt_net):
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from models.flownet2.models import FlowNet2
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ld = 'load_path' in opt_net.keys()
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args = munch.Munch({'fp16': False, 'rgb_max': 1.0, 'checkpoint': not ld})
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netG = FlowNet2(args)
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if ld:
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sd = torch.load(opt_net['load_path'])
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netG.load_state_dict(sd['state_dict'])
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