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demo/kodim08.png
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requirements.txt
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requirements.txt
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torch
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torchvison
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matplotlib
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tqdm
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numpy
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fraction
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scripts.py
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scripts.py
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import torch
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import torch.nn as nn
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def image_normalization(norm_type):
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def _inner(tensor: torch.Tensor):
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if norm_type == 'nomalization':
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return tensor / 255.0
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elif norm_type == 'denormalization':
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return (tensor * 255.0).type(torch.FloatTensor)
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else:
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raise Exception('Unknown type of normalization')
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return _inner
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