BoxMOT
- Software
- Perception
- Library
A Python and C++ library of multi-object tracking modules that work with axis-aligned or oriented bounding box detections from any detector, with a CLI for tracking, evaluation, and ReID workflows.
Source on GitHub: github.com/mikel-brostrom/boxmot (opens in a new tab). Facts read at commit 060f85a (opens in a new tab).
Licenses
- Code
- AGPL-3.0-only (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (AGPL-3.0-only) at commit 060f85a (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
Copyleft: Modified source must be published, also when it runs as a service.
What it does
- Provides swappable detector, segmentor, appearance-encoder, and tracker components that pipelines compose.
- Offers a CLI covering tracking, dataset materialization, evaluation, tuning, research, ReID training and export.
- Supports both axis-aligned and oriented bounding box tracking paths.
- Includes optional native C++ tracker implementations selectable with a backend flag and embeddable via CMake.
- Exposes a Python API so components and pipelines can be used directly in applications, with NumPy detections and BGR frames.
- Reports benchmark results on MOT17, SportsMOT and MMOT for many trackers, scored in Python and C++.
Written by Robotheca from the project's README (opens in a new tab) at commit 060f85a.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 13 Oct 2026 on master
- Latest release
- Release v25.0.0 (9 Sept 2026)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.