mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-11-27 06:09:36 +00:00
31 lines
885 B
Python
31 lines
885 B
Python
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from collections import OrderedDict
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import torch
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def normalize_activation(x, eps=1e-10):
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norm_factor = torch.sqrt(torch.sum(x ** 2, dim=1, keepdim=True))
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return x / (norm_factor + eps)
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def get_state_dict(net_type: str = 'alex', version: str = '0.1'):
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# build url
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url = 'https://raw.githubusercontent.com/richzhang/PerceptualSimilarity/' \
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+ f'master/lpips/weights/v{version}/{net_type}.pth'
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# download
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old_state_dict = torch.hub.load_state_dict_from_url(
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url, progress=True,
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map_location=None if torch.cuda.is_available() else torch.device('cpu')
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)
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# rename keys
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new_state_dict = OrderedDict()
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for key, val in old_state_dict.items():
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new_key = key
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new_key = new_key.replace('lin', '')
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new_key = new_key.replace('model.', '')
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new_state_dict[new_key] = val
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return new_state_dict
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