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Instead of these lines tf = transforms.Compose([transforms.Normalize(mean=[0, 0, 0], std=map(lambda x: 1 / x, std)), transforms.Normalize(mean=map(lambda x: -x, mean), std=[1, 1, 1]), transforms.Lambda(clip), transforms.ToPILImage(), transforms.CenterCrop(224)])
it should be like
tf = transforms.Compose([transforms.Normalize(mean=[0, 0, 0], std=list(map(lambda x: 1 / x, std))), transforms.Normalize(mean=list(map(lambda x: -x, mean)), std=[1, 1, 1]), transforms.Lambda(clip), transforms.ToPILImage(), transforms.CenterCrop(224)]) i
The text was updated successfully, but these errors were encountered:
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Instead of these lines
tf = transforms.Compose([transforms.Normalize(mean=[0, 0, 0], std=map(lambda x: 1 / x, std)),
transforms.Normalize(mean=map(lambda x: -x, mean), std=[1, 1, 1]),
transforms.Lambda(clip),
transforms.ToPILImage(),
transforms.CenterCrop(224)])
it should be like
tf = transforms.Compose([transforms.Normalize(mean=[0, 0, 0], std=list(map(lambda x: 1 / x, std))),
transforms.Normalize(mean=list(map(lambda x: -x, mean)), std=[1, 1, 1]),
transforms.Lambda(clip),
transforms.ToPILImage(),
transforms.CenterCrop(224)])
i
The text was updated successfully, but these errors were encountered: