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Hi, I want to know why you compare stdsT with 1.0 / np.sqrt(img_size) then take maximum as standard deviation.
adj_stds = np.maximum(stdsT, 1.0 / np.sqrt(img_size))
normalized = (img_data - meansT) / adj_stds
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, I want to know why you compare stdsT with 1.0 / np.sqrt(img_size) then take maximum as standard deviation.
adj_stds = np.maximum(stdsT, 1.0 / np.sqrt(img_size))
normalized = (img_data - meansT) / adj_stds
Thanks!
The text was updated successfully, but these errors were encountered: