Comments (6)
Hi, I think this may be caused by incorrect preprocessing of testing images. You can check whether the input pattern of the testing set is similar to the pattern of other images.
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To make sure the model is working, I used the same image from the validation set for testing.
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Does the model work well on the validation set?
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The validation result created during training looks valid.
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Hello, I want to ask about custom training.
Since you said, you used your own dataset. Is HR size in your dataset different from default (128) given by the author?
I found when I changed the HR_size = 128 to my own HR size (which is 480) in train_spsr.json, the training didn't work.
However, when I used the default HR_size (128) without any change, it could train.
This makes me wonder would this impact the training result?
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Hello, I want to ask about custom training. Since you said, you used your own dataset. Is HR size in your dataset different from default (128) given by the author? I found when I changed the HR_size = 128 to my own HR size (which is 480) in train_spsr.json, the training didn't work. However, when I used the default HR_size (128) without any change, it could train. This makes me wonder would this impact the training result?
I'm having the same problem. Have you solved it now?
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Related Issues (20)
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- 您好,我在运行您的代码的时候遇到一个问题,期待您的答复,谢谢。在运行时,可以正常训练,但是验证时,会爆显存RuntimeError:CUDA out of memory。请问是什么原因呢 HOT 4
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