Done
Implementation of different algorithms from Autofocusing Algorithm Selection in Computer Microscopy paper. We have to create validation functions to know which one performs the best and then dive into the category from which the best algorithm belongs to. Then, we will evaluate the best algorithm for our use case.
Speak about the fact that our algorithm works but has its limitations Try to train a new algorithm with less data augmentation.
Some papers were published talking about the performances of DRL algorithms on autofocusing tasks. It could be interesting to inform us on this subject and maybe mix image processing or DL regression with this technic.