I an interested in the function of the image_alignment() which outputs images with width times 32. Why is that so? Another question is that are you training the model without fixing a specific size?
Hi @tianmingdu,
This is because the output side of the network is 32. It is a common practice in dense labeling problems.
I train the model following DeepMatting, with a fixed size of 320x320.
I an interested in the function of the image_alignment() which outputs images with width times 32. Why is that so? Another question is that are you training the model without fixing a specific size?