A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
no matter how i train or process the data, the resolution is only going up by 3.14x?
I was originally doing scale 10 and also tried 5 but the output resolution is the same regardless
no matter how i train or process the data, the resolution is only going up by 3.14x? I was originally doing scale 10 and also tried 5 but the output resolution is the same regardless
python train.py --dataset=SRTest --layers=8 --filters=96 --training_images=255 --scale=4 python sr.py --file=MaybellWest.tif --layers=8 --filters=96 --training_images=255 --scale=4