https://stackoverflow.com/a/46667294
the first dim is always the batch size, so the gt and pr have a dimension 3 of (B, H*W, C)
from keras.metrics import categorical_accuracy
import keras.backend as K
import tensorflow as tf
def custom_categorical_accuracy(gt, pr):
mask = 1 - gt[:,:,0]
gt = tf.boolean_mask(gt,mask)
pr = tf.boolean_mask(pr,mask)
return K.mean(K.equal(K.argmax(gt, axis=-1),
K.argmax(pr, axis=-1)))
Reference https://stackoverflow.com/a/46667294 the first ...
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