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Comments (6)

Maclory avatar Maclory commented on September 17, 2024

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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sangjun04 avatar sangjun04 commented on September 17, 2024

To make sure the model is working, I used the same image from the validation set for testing.

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Maclory avatar Maclory commented on September 17, 2024

Does the model work well on the validation set?

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sangjun04 avatar sangjun04 commented on September 17, 2024

The validation result created during training looks valid.

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stdinR avatar stdinR commented on September 17, 2024

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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leotuTu avatar leotuTu commented on September 17, 2024

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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