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In celebA project,
ax[i, j].imshow((test_images[k].cpu().data.numpy().transpose(1, 2, 0) + 1) / 2)
is there any reason for you to make the image (value +1)/2?
The text was updated successfully, but these errors were encountered:
Conversion from -1, 1 to 0,1 range. This is to invert normalization transform of images done in dataloader.
@RongKaiWeskerMA
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In celebA project,
ax[i, j].imshow((test_images[k].cpu().data.numpy().transpose(1, 2, 0) + 1) / 2)
is there any reason for you to make the image (value +1)/2?
The text was updated successfully, but these errors were encountered: