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I just tried to use the rotation=True option in the code however it seems not working:
File "../segdec-net-jim2019/segdec_model.py", line 258, in get_loss
l1 = tf.losses.sigmoid_cross_entropy(logits=predictions,multi_class_labels=masks)
InvalidArgumentError (see above for traceback): Incompatible shapes: [1,32,88,1] vs. [1,88,32,1]
I tried to solve it myself however failed. May I know how I can fix this problem?
Cheers
The text was updated successfully, but these errors were encountered:
Hi,
I just tried to use the rotation=True option in the code however it seems not working:
File "../segdec-net-jim2019/segdec_model.py", line 258, in get_loss
l1 = tf.losses.sigmoid_cross_entropy(logits=predictions,multi_class_labels=masks)
InvalidArgumentError (see above for traceback): Incompatible shapes: [1,32,88,1] vs. [1,88,32,1]
I tried to solve it myself however failed. May I know how I can fix this problem?
Cheers
The text was updated successfully, but these errors were encountered: