The shape of mean and the standard deviation must be identical

[estheroratemstet]

I have a problem for
patch, patch_mask = ap.generate(x=images, y=y_target)
The ValueError: The shape of the mean and the standard deviation must be identical.
What do I need to do ??

[estheroratemstet]

I was able to solve the problem
need to change the preprocessing instead

preprocessing=([mean_b, mean_g, mean_r], 1)

to

preprocessing=(np.array([mean_b, mean_g, mean_r]), np.array([1.0, 1.0, 1.0]))

instead write this code

tfc = TensorFlowClassifier(clip_values=clip_values, input_ph=_image_input, labels_ph=_target_ys,
output=_logits, sess=sess, loss=target_loss,
preprocessing=([mean_b, mean_g, mean_r], 1))

write this code

tfc = TensorFlowClassifier(clip_values=clip_values, input_ph=_image_input, labels_ph=_target_ys,
output=_logits, sess=sess, loss=target_loss,
preprocessing=(np.array([mean_b, mean_g, mean_r]), np.array([1.0, 1.0, 1.0]))
)

[beat-buesser]

Hi @estheroratemstet That's great! Thank you for using ART!