hello everyone.
I’m trying to lip reading task using PyTorch.
so, I want to use the owm lip database, to training sets
.
cut/ speaker1 / utterance 1
cut/ speaker1 / utterance 2
…
cut/ speaker30 / utterance 49
cut/ speaker30 / utterance 50
each utterance [1~50] directory has 1~40.jpg, lip image
In this case, is it right torchvision.datasets.ImageFolder ?
dataset = torchvision.datasets.ImageFolder(root=’./cut’, transform=transforms.ToTensor())
data_loader = torch.utils.data.DataLoader(dataset=dataset, batch_size=batch_size)