mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-11-23 00:38:05 +00:00
22 lines
635 B
Python
22 lines
635 B
Python
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import torch
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from .modules.lpips import LPIPS
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def lpips(x: torch.Tensor,
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y: torch.Tensor,
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net_type: str = 'alex',
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version: str = '0.1'):
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r"""Function that measures
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Learned Perceptual Image Patch Similarity (LPIPS).
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Arguments:
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x, y (torch.Tensor): the input tensors to compare.
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net_type (str): the network type to compare the features:
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'alex' | 'squeeze' | 'vgg'. Default: 'alex'.
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version (str): the version of LPIPS. Default: 0.1.
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"""
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device = x.device
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criterion = LPIPS(net_type, version).to(device)
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return criterion(x, y)
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