pythonfix
boxmot 10.0.17
SOTA tracking methods for detection, segmentation and pose estimation models.
SOTA tracking methods for detection, segmentation and pose estimation models.
Stars: 5083, Watchers: 5083, Forks: 1498, Open Issues: 8The mikel-brostrom/yolo_tracking repo was created 3 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 5083 github stars!
How to Install boxmot
You can install boxmot using pip
pip install boxmot
or add it to a project with poetry
poetry add boxmot
Package Details
- Author
- Mikel Brostrom
- License
- AGPL-3.0
- Homepage
- https://github.com/mikel-brostrom/yolov8_tracking
- PyPi
- https://pypi.org/project/boxmot/
- GitHub Repo
- https://github.com/mikel-brostrom/yolo_tracking
Classifiers
- Scientific/Engineering
- Scientific/Engineering/Artificial Intelligence
- Scientific/Engineering/Image Processing
- Scientific/Engineering/Image Recognition
- Software Development
Related Packages
Errors
A list of common boxmot errors.
Code Examples
Here are some boxmot code examples and snippets.
GitHub Issues
The boxmot package has 8 open issues on GitHub
- Clip reid
- Custom Dataset for tracking
- CLIP-ReID preview HERE!
- Create classes.txt
- Update run model .engine
- Is it suspicious that I got higher performance for OCSORT against DeepOCSORT on MOT17?
- use black for flake8 formatting under the hood
- Pymotmetrics
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