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wrong result of differentiable 3D IoU, occurring larger than 1
See original GitHub issueHello,
I apply function diff_iou_rotated_3d from mmcv.ops to implement 3D IoU loss.
However, the computed IoU can be larger than 1 in some circumstances, which is wrong by definition.
But if I compute the specified predicition and target where IoU > 1 occurred, the result might be right.
This bug could be related to parallelization in cuda file, but I couldn’t locate the problem code.
Issue Analytics
- State:
- Created a year ago
- Comments:7 (3 by maintainers)
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Hi @Angericky ,
According to the author of the original rotated iou implementation the result may be inaccurate in some corner cases 1, 2. Actually it is a bug. However even in current implementation the rotated iou loss is extremely useful for object detection 3, 4.
I downgrade pytorch to 1.7 and the bug still exists. Oh I found the wrong value
3.5672in your result.txt at line 1972