Training real-time data augmentation

(Kirill) #1

From what I can see from the current code, data is loaded at the beginning of training, then features are created and this dataset is kept in memory until the end of training. Is it possible to implement real-time data augmentation, that every time file is feed to the model during training I can apply random augmentation on it?