Comments (2)
@Po-Jen py-motmetrics, despite its name, is not limited to a particular set of metrics per se. py-motmetrics is a community driven FOSS project, hence it requires two ingredients for metrics to be added: a) someone how is willing to implement it via a PR b) someone how is committed to maintain it and answer community questions related to the particular set of metrics.
I can't judge whether the OSPA metrics are useful, but given that they haven't been requested yet, I can assume that either there is already a working software solution that people are happy with, or that there is a lack of interest in this metric.
In case you want to hop in, please feel free to start a PR that integrates the OSPA metric.
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Gotcha, thank you. Yes OSPA/GOSPA is available in stonesoup, that might be the reason why it's not requested here.
I'll probably leave this issue open for a while to see if there are more comments related to why OSPA/GOSPA are not used in most MOT benchmarks.
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Related Issues (20)
- Do we need to keep original detection order? HOT 5
- Wrong results HOT 1
- Everything gets 0 / NaN if confidence is -1 in motChallenge format HOT 1
- AttributeError for `np.bool` in Numpy `1.24.0` HOT 5
- How to calculate IDF1 metric for multi-camera multi-target(MCMT,MTMC) tracking? HOT 1
- MOTP Metric
- Precision-Recall Curve
- Why idp and idr samein result?
- Custom dataset example in `README` gives worse results than `motmetrics.apps.eval_motchallenge`
- A BUG caused by pandas.Index.map
- can idp and idr be more than 1? HOT 1
- Person exits and re-enters
- Questions about values HOT 2
- mostly_tracked(MT) HOT 2
- Error with Default Option "ana" When Computing Metrics
- Do you plan to release a new version with HOTA on PyPI soon? HOT 2
- `UnboundLocalError` when calculating HOTA HOT 1
- Error when using README example for HOTA when using multiple files HOT 1
- Cannot match `trackeval` HOTA results using `motmetrics` on custom dataset HOT 4
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