Zepharchit

Results 3 comments of Zepharchit

Utilised the main.py for training the dataset python main.py --train_GT_path ./GT_path --train_LR_path ./LR_path --test_GT_path ./test_GT_path --test_LR_path ./test_LR_path --test_with_train True --scale 2 --log_freq 1000

No i tried it on single GPU environment. I am still stuck with the same issue have used the following command CUDA_VISIBLE_DEVICES=0 python main.py --train_GT_path ../Dat_Noh/train/train_h/ --train_LR_path ../Dat_Noh/train/train_l --scale 2...

I am using tensorflow 1.13 and python 3.6.9 numpy 1.15 scikit-image 0.15.0