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greatlog / DAN

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
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Error of testing #3

Closed jiandandan001 closed 3 years ago

jiandandan001 commented 4 years ago

Hi, thank you for this excellent work and thank you for sharing the code.

I have the following problem when runing the testing code as : python test_single_img.py -opt=test_option.yml -input_dir=D:/2020/ReferenceCode/DAN-master/our_testimages/ -output_dir=D:/2020/ReferenceCode/DAN-master/our_results/

The environment is: python 3.7 / torch 1.6

Could you please give me some suggestions to slove this problem? Thanks

G:\Anaconda\envs\py3.7to1.6\python.exe D:/2020/ReferenceCode/DAN-master/codes/config/DAN/test_single_img.py export CUDA_VISIBLE_DEVICES=0 OrderedDict([('name', 'DIV2KRK'), ('mode', 'LQGTker'), ('dataroot_GT', '/data/DIV2KRK_public/HRblur.lmdb'), ('dataroot_LQ', '/data/DIV2KRK_public/x2LRblur.lmdb')]) Traceback (most recent call last): File "D:/2020/ReferenceCode/DAN-master/codes/config/DAN/test_single_img.py", line 32, in opt = option.parse(args.opt, is_train=False) File "D:\2020\ReferenceCode\DAN-master\codes\config\DAN\options.py", line 56, in parse config_dir = path.split("/")[-3]
IndexError: list index out of range

Process finished with exit code 1

greatlog commented 4 years ago

It seems that the path on windows could not be written like that. Maybe you can modify the directory path in test_single_img.py directly, instead of passing them via argument parser.