abdullahtarek/football_analysis
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos observed · 2026-09-03
Health v2 · maintenance only
24/100
- Activity 0
- Release rhythm 35
- Longevity 61
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 867
- days_rel: n/a
- days_push: 862
- n_releases_24m: 0
Adoption not part of the score
1003 stars · 337 forks observed · 2026-09-03
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| abdullahtarek/football_analysis | main | 24 |
For agents
markdown · JSON · MCP: product_card(name="abdullahtarek/football_analysis")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem