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greatlog / DAN

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
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About the dataset preparation #27

Closed yuzheyyyy closed 3 years ago

yuzheyyyy commented 3 years ago

Hi, I would like to ask a question about the dataset preparation. I find that in 'train.py', the 'blur_lr_imgs' are generated online, that is to say, they are generated during training process. For those 'blur_lr_img' generated offline, they are only used in validating process. Does that mean I should only run 'python3 codes/scripts/generate_mod_blur_LR_bic.py' for validation dataset not for train dataset? I think it's not clarified very well in this repo.

greatlog commented 3 years ago

yes, the validation datasets are generated offline, while the training dataset is generated on the fly.

AmirMohamadBabaee commented 1 year ago

Hello, thank you for the amazing repository. I was reading the dataset preparation section of the README.md file and at first glance, it seems that both the training and validation datasets should be generated offline. I was wondering if it would be possible to add a note to the README.md file clarifying this point. Thank you again.