Thanks to @user2357112 @Rika and @hpaulj ‘s great helps, I found the cause of the problem and here is solution for those who is struggling the same issue:
msk1 = msk1.numpy()
But then (probably) you will get
ValueError: Floating point image RGB values must be in the 0..1 range. exception. You have to normalize your array. Thanks to him
def normalize(x): """ Normalize a list of sample image data in the range of 0 to 1 : x: List of image data. The image shape is (32, 32, 3) : return: Numpy array of normalized data """ return np.array((x - np.min(x)) / (np.max(x) - np.min(x))) msk1 = normalize(msk1.numpy())
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