Closed NyquistBodeTu closed 7 months ago
Usually the Intersection over Union (IoU) metric is used for evaluation.
There is another library bbox
here on github that also has some support for evaluating 3D bounding boxes:
https://github.com/varunagrawal/bbox/blob/master/bbox%2Fmetrics.py#L139
However, it does only consider the yaw orientation (top down).
Comparing fully rotated bounding boxes is not so trivial.
Hi, it's my great pleasure that the labelcloud is the wonderful tool to make KITTI untransformed kind dataset. By modifying some codes, it is easy to train 3D detection neural network. However, the evaluation metrics of KITTI dataset is different from ours. So I need to find a new evaluation metric for our dataset, just LiDAR data, without Images. Do you have any suggestions? Looking forward to your reply.