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?