Random Cropping as an augmentation

I created a branch that uses full resolution during augmentations.

You can install it by

git clone https://github.com/Y-T-G/ultralytics
cd ultralytics
git checkout hires_train
pip install .

Pass hi_res=True during training in model.train()

From my brief testing, the results were worse. But you can try it, especially with scale and translate.