I am trying to train pretrained faster rcnn model with oriented bounding boxes. Dataset I use is DOTA. All instances are annotated by oriented bounding boxes. Is there any way in pytorch to train faster rcnn with oriented bboxes? Or can anyone suggest me a way to do so?
Thanks for any help.