n0obcoder / nih-chest-x-rays-multi-label-image-classification-in-pytorch Goto Github PK

Traceback (most recent call last):
File "E:\btp final\NIH-Chest-X-Rays-Multi-Label-Image-Classification-In-Pytorch\main.py", line 89, in
train_loader = torch.utils.data.DataLoader(train_dataset, batch_size = batch_size, shuffle = True)
File "C:\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 262, in init
sampler = RandomSampler(dataset, generator=generator) # type: ignore
File "C:\Python38\lib\site-packages\torch\utils\data\sampler.py", line 103, in init
raise ValueError("num_samples should be a positive integer "
ValueError: num_samples should be a positive integer value, but got num_samples=0

When I run the code，why exits the error as below？How can I solve it？Thanks!
File "/home/a504/linjinke/NIH-Chest-X-Rays-Multi-Label-Image-Classification-In-Pytorch-master/datasets.py", line 111, in choose_the_indices
for i in tqdm(list(np.random.choice(range(length),length, replace = False))):
File "mtrand.pyx", line 1126, in mtrand.RandomState.choice
ValueError: a must be non-empty

Hello, what's the meaning of the frist five lines of the config.py and how should I modify them?pkl_dir_path = 'pickles'
train_val_df_pkl_path = 'train_val_df.pickle'
test_df_pkl_path = 'test_df.pickle'
disease_classes_pkl_path = 'disease_classes.pickle'
models_dir = 'models'

How should I modify the line 30 in main.py?
parser.add_argument('--data_path', type = str, default = 'NIH Chest X-rays', help = 'This is the path of the training data')

During phases 1, 2, and 3, layer 1 was never tuned. Why that would be a choice? Thanks