ImageFolder throws false error by loading from nested PATH

[weisurya]

Environment
OS: Windows 10 64-bit
torch: 0.4.1
torchvision: 0.2.1

Code_1
`
import torch
from torchvision import datasets, transforms

data_dir = "PetImages/Dog"

transform = transforms.Compose([transforms.Resize(255), transforms.CenterCrop(224), transforms.ToTensor()])

dataset = datasets.ImageFolder(root=data_dir, transform=transform)

dataloader = torch.utils.data.DataLoader(dataset, batch_size=32, shuffle=True)
`

Output_1
`

RuntimeError Traceback (most recent call last)
in
5 transforms.ToTensor()])
6
----> 7 dataset = datasets.ImageFolder(root=data_dir, transform=transform)
8
9 dataloader = torch.utils.data.DataLoader(dataset, batch_size=32, shuffle=True)

d:\programs\anaconda3\envs\deep-learning\lib\site-packages\torchvision\datasets\folder.py in init(self, root, transform, target_transform, loader)
176 super(ImageFolder, self).init(root, loader, IMG_EXTENSIONS,
177 transform=transform,
--> 178 target_transform=target_transform)
179 self.imgs = self.samples

d:\programs\anaconda3\envs\deep-learning\lib\site-packages\torchvision\datasets\folder.py in init(self, root, loader, extensions, transform, target_transform)
77 if len(samples) == 0:
78 raise(RuntimeError("Found 0 files in subfolders of: " + root + "\n"
---> 79 "Supported extensions are: " + ",".join(extensions)))
80
81 self.root = root

RuntimeError: Found 0 files in subfolders of: PetImages/Dog
Supported extensions are: .jpg,.jpeg,.png,.ppm,.bmp,.pgm,.tif
`

However, when I tried to read the image file, it works

Code_2
`

Test data loader

images, labels = next(iter(dataloader))
plt.imshow(images[0].numpy().transpose((1, 2, 0)))
`

Output_2
https://drive.google.com/file/d/109-Uw5YYXJ0Nij2RIhFAdEorOKgqcXHM/view?usp=sharing

Directory
petImages/
___Cat/
______0.jpg
______1.jpg
______2.jpg

[fmassa]

You should put as a path to data_dir PetImages.

If you only want to have a single class even though PetImages have many folders, you can create a symlink pointing to the single folder you want.