Good Morning,
I should train my network performing 5 fold cross validation and train each fold for 25 epochs. I have to perform data augmentation with random rotation and random translation. Starting from a dataset of 500 images I create 10 new images for each image of the original dataset by randomly translating and rotating. I have followed the tutorial here https://pytorch.org/tutorials/beginner/data_loading_tutorial.html 16. In each epoch the augmented dataset will be different. I would like to have the same augmented dataset for each epoch and for each fold but I do not know how I can do.
Thank you for your help