Enhance augmentation on tub data:
* Add image augmentation as a standalone Tub member function which replaces the images in place. * Refactor the augmentation to separate into conversion between numpy arrays and PIL images and the augmentation functions * Add a donkey command 'donkey tubaugment' to augment tubs in place or clone the tub into a now one with augmentation and keep the original. * Add a test that checks the augmented data only differs slightly from the original images
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