AssertionError: /.111 is not a valid directory

[yff0815]

[yff0815]

linux16.04, Python2.7, CUDA8.0

python test.py --dataroot \111 --model test --dataset_mode single --learn_residual when i run this code the result is: ---------------------------option-------------------------------------------------------

aspect_ratio: 1.0 batchSize: 1 checkpoints_dir: ./checkpoints dataroot: /.111 dataset_mode: single display_id: 1 display_port: 8097 display_single_pane_ncols: 0 display_winsize: 256 fineSize: 256 gan_type: wgan-gp gpu_ids: [0] how_many: 5000 input_nc: 3 isTrain: False learn_residual: True loadSizeX: 640 loadSizeY: 360 max_dataset_size: inf model: test nThreads: 2 n_layers_D: 3 name: experiment_name ndf: 64 ngf: 64 no_dropout: False no_flip: False norm: instance ntest: inf output_nc: 3 phase: test resize_or_crop: resize_and_crop results_dir: ./results/ serial_batches: False which_direction: AtoB which_epoch: latest which_model_netD: basic which_model_netG: resnet_9blocks -------------- End ---------------- CustomDatasetDataLoader dataset [SingleImageDataset] was created Traceback (most recent call last): File "test.py", line 19, in data_loader = CreateDataLoader(opt) File "/home/yff/PycharmProjects/gan_terminal/data/data_loader.py", line 6, in CreateDataLoader data_loader.initialize(opt) File "/home/yff/PycharmProjects/gan_terminal/data/custom_dataset_data_loader.py", line 30, in initialize self.dataset = CreateDataset(opt) File "/home/yff/PycharmProjects/gan_terminal/data/custom_dataset_data_loader.py", line 20, in CreateDataset dataset.initialize(opt) File "/home/yff/PycharmProjects/gan_terminal/data/single_dataset.py", line 14, in initialize self.A_paths = make_dataset(self.dir_A) File "/home/yff/PycharmProjects/gan_terminal/data/image_folder.py", line 26, in make_dataset assert os.path.isdir(dir), '%s is not a valid directory' % dir AssertionError: /.111 is not a valid directory

[yff0815]

and i put one blurry image in the directory 111

[hanshan1]

you can try python test.py --dataroot ./111 --model test --dataset_mode single --learn_residual

[yff0815]

谢谢~