Hi there,
I’m very new to PyTorch so please bear with me. I’ve been following and reading tutorials to get familiar with pytorch. The tutorials all use torchvision package which contains dataloaders for CIFAR-10/100, COCO etc. I wanted to know if torchvision’s functionality can be extended to any non-standard dataset that I may have.
If not, then can one write their own custom dataloaders and still use the transforms features defined in torchvision?
Thanks