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Var of CIFAR10 wrong #15

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jS5t3r opened this issue Oct 25, 2023 · 0 comments

jS5t3r commented Oct 25, 2023 •

edited

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Mine:

dataset = datasets.CIFAR10(root='./data', download=True, train=True, transform=transforms.ToTensor())
mean = dataset.data.astype(float).mean(axis=(0,1,2)) / 255
std = dataset.data.astype(float).std(axis=(0,1,2)) / 255
print("cifar10", np.round(mean, 4), np.round(std, 4))

--> cifar10 [0.4914 0.4822 0.4465] [0.247  0.2435 0.2616]

Yours:

mean = { 'cifar10': (0.4914, 0.4822, 0.4465) }
std = { 'cifar10': (0.2023, 0.1994, 0.2010) }

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