This football analysis project employs YOLO for tracking players, referees, and footballs in video footage. Using K-means clustering, players are assigned to teams by T-shirt color. The project measures ball possession, analyzes player movement via optical flow, corrects perspective distortion, and calculates speed and distance covered.
active 2024-06-19 → 2024-11-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 138 days from 2024-06-19 to 2024-11-03. Pushes: 48 total, peak 32 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 4 total, peak 3 in a day. Stars: 3 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| RITIKSHARMAOFFICIAL | 52 | 48 | 0 | 4 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.