Hi, thanks for the reply.
Being more specific, what is the best way to implement a data augmentation on-the-fly during the training using torchvision ? (since my dataset is already very large I can’t create the augmented dataset and then load it, it would take way too much time and memory)
Is it feasible in the function generate_examples of the dataset class ?
If not, where would you advise me to do it ?
If you can put some bricks of code (just to have the idea of the implementation you have in mind) I’d be more than happy.
Thanks