pytorch torchvision.datasets.ImageFolder FileNotFoundError: Found no valid file for the classes .ipynb_checkpoints
Tried to load training data with pytorch torch.datasets.ImageFolder in Colab.
transform = transforms.Compose([transforms.Resize(400),
                                transforms.ToTensor()])
dataset_path = 'ss/'
dataset = datasets.ImageFolder(root=dataset_path, transform=transform)
dataloader = torch.utils.data.DataLoader(dataset, batch_size=20)

I encountered the following error :
---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
&lt;ipython-input-27-7abcc1f434b1&gt; in &lt;module&gt;()
      2                                 transforms.ToTensor()])
      3 dataset_path = 'ss/'
----&gt; 4 dataset = datasets.ImageFolder(root=dataset_path, transform=transform)
      5 dataloader = torch.utils.data.DataLoader(dataset, batch_size=20)

3 frames
/usr/local/lib/python3.7/dist-packages/torchvision/datasets/folder.py in make_dataset(directory, class_to_idx, extensions, is_valid_file)
    100         if extensions is not None:
    101             msg += f&quot;Supported extensions are: {', '.join(extensions)}&quot;
--&gt; 102         raise FileNotFoundError(msg)
    103 
    104     return instances

FileNotFoundError: Found no valid file for the classes .ipynb_checkpoints. Supported extensions are: .jpg, .jpeg, .png, .ppm, .bmp, .pgm, .tif, .tiff, .webp

My Dataset folder contains a subfolder with many training images in png format, still the ImageFolder can't access them.

I encountered the same problem when I was using IPython notebook-like tools.
First please check if there is any hidden files under your dataset_path. Use ls -a if you are under a Linux environment.
The case happen to me is I found a hidden file called .ipynb_checkpoints which is located parallelly to image class subfolders. I think that file causes confusion to PyTorch dataset. I made sure it is not useful so I simply deleted it. Then the dataset works fine.
Or if you would like to simply ignore that file, you may also try this.
