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When I train on the custom (paired dataset) and inference on the test set, it keeps making a strange issues.
Such as, when I test with the reference images of high resolution , the psnr and ssim shows same as giving reference image of low resolution. Even though when I give numpy zero array, the results are same.. can you answer why this occurs?
The text was updated successfully, but these errors were encountered:
I wonder if i train the dataset that is not paired ( different pairs ) , matching does not work well right?
and also, while training , does matching ( similarity scores) is learned also?
I have a question for the testset.
When I train on the custom (paired dataset) and inference on the test set, it keeps making a strange issues.
Such as, when I test with the reference images of high resolution , the psnr and ssim shows same as giving reference image of low resolution. Even though when I give numpy zero array, the results are same.. can you answer why this occurs?
The text was updated successfully, but these errors were encountered: