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Output image size and cropping #53

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Walter5142 opened this issue Nov 8, 2022 · 1 comment
Open

Output image size and cropping #53

Walter5142 opened this issue Nov 8, 2022 · 1 comment

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@Walter5142
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hi @remicres
thank you very much for this great work.
I found that using the pre-training model to overscore the 128128 resolution image, the result is 256256 resolution. In addition, only a 64*64 region in the original image was intercepted for quadruple hyperpartitioning. Can you help me with the answer?
@remicres
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hi @Walter5142,
Thanks.
You are probably using the cropped output tensors.
Take a look in train.py to see how thing are done !

@remicres remicres changed the title The problem with super-resolution results Output image size and cropping Jan 18, 2023
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@remicres @Walter5142