A problem when computes cifar10 mean and stdev

[xuyan1115]

Hi, I found a problem in compute-cifar10-mean.py#L31.

The shape of torchvision.datasets.CIFAR10.train_data should be (50000, 32, 32, 3) instead of (50000, 3, 32, 32), so the code in line#31 should be pixels = data[:,:,:,i].ravel()

[gsp-27]

When you load the data with the "ToTensor()" transform on as is done by the author, it loads the data as BCHW, so the code is correct.

[xuyan1115]

@gsp-27,
when I read the source code of loading CIFAR10 dataset, I found that the param of transform is just used in the function __getitem__(self, index), which means that only calling self[index] , the output's format is BCHW.

BTW, when I ran compute-cifar10-mean.py, the shape of data is BHWC indeed.

[zhaofenqiang]

same problem, I think compute-cifar10-mean.py#L31 did has a mistake
BTW I found the mean and std computed by the script here is different from demo.py in line212 and line213, it confuses me, does anyone know why? Thanks！

[xuyan1115]

@zhaofenqiang Following my suggestion, you should modify compute-cifar10-mean.py#L31 to pixels = data[:,:,:,i].ravel(), and the result is same as demo.py.