My idea was to automatically split full size Images from camera and then to manually label cropped Images.
Then during training to split images again and train second model on cropped Images and labels.
Then during test to split new Images with pretrained YOLO model and predict cropped Images with trained model.
My question was about PyTorch models to use, is there any pretrained model I could use for such task or it is not possible.
As I said I am quite experienced with training DL (you can check my Kaggle profile) what I dont know yet is YOLO simply because I never had chance to use such data.