[D] How to train a text detection model that will detect it's orientation (rotation) ranging from +180 to -180 degrees.

Most models it seems like are able to detect rotated objects, but they use so called le90 convention, where objects are rotated from +90 to -90 degrees. In my case I would like to detect the text on the image in its correct orientation which means 0 and 180 degrees in my case are not the same (which is the case in MMOCR, MMDET, and MMRotate models).

Can you guide me on this problem? How can I approach this issue? …

case convention detection image machinelearning objects rotation text train will