collidingScopes/tennis-cv
project guide for building a tennis CV tracker
About the project
A guide to building a tennis computer vision system: from footage of a ball hit against a practice wall it counts strokes, measures speed and type (forehand/backhand) and wall impact points, producing an annotated video and a stats dashboard.
Useful for
- Build your own wall-stroke tracker by training a detector on your footage
- Label frames via Roboflow and train RF-DETR to detect ball and racket
- Set up Kalman-filter ball tracking and build a stroke stats dashboard
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 2 stars so far today, about 2 expected by the end of the day.
- The repository is 8 days old and already has 63 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 63
- Stars in a day
- 2
- Forks
- 7
- Issues and pull requests
- 0
- Watchers
- 0
- Created
- September 10, 2026
- Last push
- September 10, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 16, 2026Top new repositories this week: #171
- September 15, 2026Top new repositories this week: #173
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