Comments (3)
I'm heavily in favour of 1. The steps for this would be:
- Find, learn of all places where
tracker_id
is used. - Modify the core of
ByteTrack
- if there is a detection but there's no tracker - instead of returning nothing, return-1
. Make sure the length oftracker_id
matches the length ofdetections
being returned. - Think a bit how this affects case where we deliberately hide uncertain trackers - this would be introduced as part of #1076.
- Propagate the changes in the core of
ByteTrack
, to the uses by various components - annotators, examples - Some tests would be good to have.
This would be a draft PR until #1076 is merged. This PR new should remove the Detections.empty
call from it.
from supervision.
Example: line_zone.py:trigger() checks if iterating over tracker_id
array produces None
Related: Test case in #1206 checks it too.
from supervision.
Example: smoother.py:update_with_detections() checks if iterating over tracker_id
array produces None
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 7
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from supervision.