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How to deal with the case where the size of the image is odd
Hi Since there is Subscale and Upscale in the mask module, how to handle the case where the size of the image is odd?
Hi, In the training phase, you can avoid the input size being odd by yourself. In the test phase, the input image can be splitted into multiple sub-images. The size of each sub-images also avoids being odd.
Thank you for your reply!