FSRCNN-pytorch
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Hello,thanks for you best work.When I use prepare.py to generate the image 91 x2 h5 file, the size is only 552M, but the size of the file you gave is 6.88GB. What is the reason?
Hi,
By default the code does not do any data augmentation; reducing the file size drastically. I guess the h5 files provided in the repo include data augmentation. You can get these by setting parser.add_argument('--with-aug', action='store_false') instead of parser.add_argument('--with-aug', action='store_true') in 'prepare.py', you will end up with a larger file.
I hope this helps.
Hello, There is a problem that makes me confused .How to train model for scale 2 or scale 4 on basic of scale 3