mikel-brostrom / boxmot
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Why this job: matched by what the repo talks about: multi, support, track, sota
What it does
BoxMOT provides independent detector, segmentor, appearance-encoder, and tracker components built around validated Torch structures. Pipelines compose those components; the CLI owns sources, outputs, materialized datasets, evaluation, tuning, research, and ReID workflows.
Get started
pip install boxmot "ultralytics>=8.4.58"
boxmot --help- Maintenance
- Active
- Last commit yesterday
- Stars
- 8,325
- +2 this week
- Licence
- AGPL-3.0
- Share-alike, even hosted
- Downloads for
- None listed
- No release files
- Latest version
- v26.0.0
- Released 16 days ago
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 578 merged
- 0 waiting
- Releases
- 150
- 21 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 96%
- C++ 4%
- CMake <1%
- Dockerfile <1%
Topics
- strongsort
- bytetrack
- ocsort
- deep-learning
- segmentation
- tensorrt
- tracking-by-detection
- yolo
- botsort
- deepocsort
- multi-object-tracking
- mot
Project record
- JobAgent frameworks
- StatusListed
- Commits3,855
- Forks1,913
- Watching58
- Stars in 28 days+25
- CreatedJun 26, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026