Imagefolder can't get image

[Friedman]

when i use imagefolder,it had error:
Traceback (most recent call last):
File “drive/gan/main.py”, line 172, in
File “drive/gan/main.py”, line 59, in train
dataset = tv.datasets.ImageFolder(opt.data_path,transform=transforms)
File “/usr/local/lib/python3.6/dist-packages/torchvision/datasets/folder.py”, line 103, in init
"Supported image extensions are: " + “,”.join(IMG_EXTENSIONS)))
RuntimeError: Found 0 images in subfolders of: drive/ganData/
Supported image extensions are: .jpg,.jpeg,.png,.ppm,.bmp,.pgm
there is the code:
transforms = tv.transforms.Compose([
tv.transforms.ToTensor(),
tv.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
])

dataset = tv.datasets.ImageFolder('drive/ganData/',transform=transforms)
dataloader = t.utils.data.DataLoader(dataset,
                                     batch_size = opt.batch_size,
                                     shuffle = True,
                                     num_workers= opt.num_workers,
                                     drop_last=True
                                     )

there is the data:

[ptrblck]

Where is drive located? Is it a subfolder in your current working folder?
If so, change it to ./drive/danData/.
I think the path cannot be understood.

[ctivanovich (Christopher Ivan)]

I have a complete and perfect file path to a folder of .jpg files, and I have this same problem/error. I’ve made sure the path has no errors.

[mamoona_nisar]

Hi ,I m also facing ''Found 0 files in subfolders ‘’
My train folder has 3 subfolders structures.PNG images are placed in label1 folder, label3 and label2 folders.Random random image series are saved in 1…30.png in label1 folder. 92.png ,2000.png in label2 and label3
/train/
label1
label2
label3

[ptrblck]

Could you share the code where you initialize your ImageFolder dataset? I guess the path might be the issue, e.g. by passing a relative path while being in the wrong folder.

[mamoona_nisar]

trainset=torchvision.datasets.ImageFolder("C:/Users/join2/Desktop/updates/data/train/",transform=transform)
trainLoader=torch.utils.data.DataLoader(trainset, batch_size= 4)