Open miken1990 opened 5 years ago
Hello.
We used a public dataset.
Please find word 'DIV2K' from README and you will get the answers you want.
Thank you!
Thanks for the answer!
1) As we understand from the article, you took each image in the DIV2K dataset, divided it to 48x48 patches (~ 1200 patches from each image) then flipped each patch with random horizontal and 90 degrees flips, so you ended up with around 7 Million images for training. Is that correct?
2) Our aim is to use the EDSR network to perform super resolution + artifact reduction and we are currently thinking about using a training set with a substantial size, but we are not sure that we have enough images, so we'll need to do augmentation. What is your opinion?
Thanks, Michael
Hi, do you know which part of the codes controls training dataset cropping stride? I wanna create nonoverlapping training datasets. Thank you!
Hi,
Thanks for the implementation and detailed explanation! I tried to understand from the paper/repo, but couldn't find an answer, what is the dataset that was used for training EDSR and MDSR? is it public?
Thanks, Michael