Do we need to keep original detection order? about py-motmetrics HOT 5 CLOSED

I suspect this is not allowed as I read the code, here we need to calculate pairwise distance grouped by frame ID, no matter what distance metric is using. So given a frame ID, the detections should be in the same order. But pending for confirmation from the author or other users. Thanks.

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Hi @SuperbTUM, for each detection bounding box E within a frame F, the algorithm will assign a matching ground truth bounding box E' from the same frame F based on the distance metric. If for a certain bounding box E all the ground truth bounding boxes within a frame F are more than a threshold distance t away, it will be considered a false positive. If a ground truth bounding box E' has no match, then it will be considered a miss. Hence, you do not need to order the detections and ground truth labels prior to running the tracking. The matching will be handled in the code. However, you do need to compute the distance metrics before starting the tracking as explained in the Readme file.

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@amm272 Thanks for the explanation! Yes, with tutorial on readme, the order within a frame does not matter, but if we simply call mm.utils.compare_to_groundtruth, I assume there is no Hungarian matching logic inside and order does matter in this case. But we should follow the instructions on readme to avoid this issue.

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@SuperbTUM as mentioned by @amm272 the order of detections per frame is irrelevant. what is relevant is consistency of the detection ids that you assign. I.e if E1 is named E1 in frame 0, then it should also be named E1 in all other frames it is detected.

As far as the example compare_to_groundtruth holds, the same applies. The IDs detection ids are extracted via

https://github.com/cheind/py-motmetrics/blob/develop/motmetrics/utils.py#L79

and distances are then computed in this order by

https://github.com/cheind/py-motmetrics/blob/develop/motmetrics/utils.py#L81

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Thank you all for the explanation! Yeah, the detection order inside the same frame does not matter the performance. Thanks again.

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