ultralytics / velocity
Machine learning and Structure-from-Motion tools for estimating vehicle speed from imagery for traffic monitoring, road safety, and autonomous systems research.
Why this job: topics: computer-vision, tensorflow, machine-learning, pytorch
What it does
Welcome to the Ultralytics Velocity repository! Here, we delve into the intersection of Machine Learning (ML) and Structure From Motion (SFM) to estimate the speed of vehicles using image analysis. Our objective is to enhance vehicle speed estimation methodologies and provide a foundation for future research and practical applications in fields like traffic management and autonomous systems.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 145
- +1 this week
- Licence
- AGPL-3.0
- Share-alike, even hosted
- Downloads for
- None listed
- No release files
- Latest tag
- v0
- Released 7 years ago
- Built with
- Python
- 69% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 57 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- Security policy (opens in new tab)
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| yanshengjia / ml-road | 4,982 | 3 months ago | MIT | No downloads |
| fendouai / OpenCVTutorials | 1,440 | 3 months ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 69%
- MATLAB 31%
Topics
- computer-vision
- machine-learning
- opencv
- python
- pytorch
- road-safety
- structure-from-motion
- tensorflow
- traffic-monitoring
- vehicle-speed
Project record
- JobAI libraries and models
- StatusListed
- Commits144
- Forks24
- Watching1
- Stars in 28 days+3
- CreatedMar 23, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026