Data Augmentation in Faster RCNN

In Faster-RCNN, if I am not mistaken, only flipping has been applied as data augmentation trick, but there are other forms of data augmentation which can be used.

In my application, I need to rotate the images and also add different illumination and zooming. How can these data augmentation tricks be achievable in Faster-RCNN implementation?

Specifically, I would like to rotate the images.

A small question, Faster RCNN works on center_x, center_y, width, height basis, isn't it? PASCAL VOC is in xmin,ymin,xmax,ymax basis, but in faster RCNN implementation they have been changed to center_x, center_y, width, height in bbox_transform, why?