Comments (3)
Hi @westlinkin 👋🏻, I'm not sure how we would implement such logic. If the model detects 23 people, not 22, how do you know which of those players is a double detection?
from supervision.
@SkalskiP we can drop the 23rd people if no.23 'suddenly' appears in the middle of the video. if there are 23 people in the beginning, we can just drop the lowest confidence one.
I created a tool to limit the max tracking instances, but I am still testing it, if it is good enough, I will submit a PR
from supervision.
Hi @westlinkin 👋🏻 Thank you very much for your interest in Supervision as well as the time you spent preparing this PR. After careful analysis, I have decided to side with @LinasKo's comments and not merge this PR. I share a similar opinion - it seems to me that this tool is not universal enough. I know it works in the case you described, but nevertheless, I believe its place is not in Supervision. Thank you once again for the time invested.
from supervision.
Related Issues (20)
- [PolygonZone] - drop `frame_resolution_wh` requirement HOT 5
- Interpolation error on computing average precision HOT 3
- Update to support new `from_transformers` methods HOT 1
- [DetectionDataset] - extend `from_coco` and `as_coco` with support for masks in RLE format HOT 10
- the result.mp4 cannot be played on the browser HOT 4
- Adding a function to convert Supervision.Detections to Ultralytics.Results? HOT 2
- Filter Detections Error HOT 7
- TraceAnnotator fails when there are no detections present due to IndexError HOT 7
- I want to filter detections so that only the classes "No Helmet", "Person", "Rider" are detected. HOT 1
- Multi-can tracking HOT 1
- ultralytics_stream_example do not work HOT 8
- ByteTrack memory consumption increases indefinitely HOT 4
- [KeyPoints] - add `from_mediapipe` connector allowing Supervision to be used with Google MediaPipe models HOT 4
- Request: as_coco Parameter Adjustment for sv.DetectionDataset in Supervision API HOT 7
- HaloAnnotator does not work HOT 1
- I want to show zone_annotator all the time
- the update of supervision HOT 3
- small objects detection using sahi or combine it with other models HOT 2
- Saving Detections - Possible Issue? HOT 8
- Smoother Fails Due to Missing tracker_id in Detections HOT 6
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from supervision.