AssertionError

[shangyueweiliang]

When i run your code,i get the error like this 👍

(pytorch) D:\CY\Super-resolution\RankSRGAN-master\codes>python test.py -opt options/test/test_RankSRGAN.yml export CUDA_VISIBLE_DEVICES=3 19-12-03 10:15:28.664 - INFO: name: RankSRGANx4 suffix: None model: sr distortion: sr scale: 4 crop_border: None gpu_ids: [3] datasets:[ test_1:[ name: set14 mode: LQGT dataroot_GT: /home/wlzhang/BasicSR12/data/val/Set14_mod dataroot_LQ: None phase: test scale: 4 data_type: img ] test_2:[ name: PIRMtest mode: LQGT dataroot_GT: /home/wlzhang/RankSRGAN/data/val/PIRMtestHR dataroot_LQ: /home/wlzhang/RankSRGAN/data/val/PIRMtest phase: test scale: 4 data_type: img ] ] network_G:[ which_model_G: SRResNet in_nc: 3 out_nc: 3 nf: 64 nb: 16 upscale: 4 scale: 4 ] path:[ pretrain_model_G: ../experiments/pretrained_models/mmsr_RankSRGAN_NIQE.pth root: D:\CY\Super-resolution\RankSRGAN-master results_root: D:\CY\Super-resolution\RankSRGAN-master\results\RankSRGANx4 log: D:\CY\Super-resolution\RankSRGAN-master\results\RankSRGANx4 ] is_train: False

Traceback (most recent call last): File "test.py", line 30, in test_set = create_dataset(dataset_opt) File "D:\CY\Super-resolution\RankSRGAN-master\codes\data__init__.py", line 41, in create_dataset dataset = D(dataset_opt) File "D:\CY\Super-resolution\RankSRGAN-master\codes\data\LQGT_dataset.py", line 23, in init self.paths_GT, self.sizes_GT = util.get_image_paths(self.data_type, opt['dataroot_GT']) File "D:\CY\Super-resolution\RankSRGAN-master\codes\data\util.py", line 53, in get_image_paths paths = sorted(_get_paths_from_images(dataroot)) File "D:\CY\Super-resolution\RankSRGAN-master\codes\data\util.py", line 24, in _get_paths_from_images assert os.path.isdir(path), '{:s} is not a valid directory'.format(path) AssertionError: /home/wlzhang/BasicSR12/data/val/Set14_mod is not a valid directory

So how can i do to solve this problem?