Rotated IOU greater than 1

[shashanktyagi]

The following example produces IOU greater than 1.

b1 = np.array([[46.83, 44.03, 3.9, 1.63, 0]], dtype=np.float32)
b2 = np.array([[46.83, 44.03, 1.63, 3.9, 1.45]], dtype=np.float32)
rbbox_overlaps(b1, b2) = 1.35

The expected iou should be near 1. Is there something I'm missing here?
Note that I changed the code to use angle in radians.

[mjq11302010044]

@shashanktyagi Hi, the size of height and width maybe too small, and may be rounded to an unpredictable number when computing IoU, it's better to ensure height and width of both boxes are larger than a reasonable number (8 or 16 etc.

[shashanktyagi]

Yeah, I figured that out too. As a hack, I scaled all the boxes by a factor of 100. That fixed it.