rustyneuron01/Real-Time-Football-Detection
Real-time football video analytics: player/ball/referee tracking and pitch keypoints. YOLO, HRNet, OSNet, ByteTrack, FastAPI. Game state recognition with lightweight CLIP/VLM validation. Python, OpenCV, CUDA/MPS.
This system helps sports analysts, broadcasters, and data providers automatically analyze football match videos. It takes raw video footage and outputs real-time data on player, ball, and referee positions, along with pitch keypoints. This allows professionals to quickly get detailed game state information without expensive manual annotation.
Use this if you need to extract precise, real-time tracking data for players, the ball, and referees from football video streams to power analytics or broadcasts.
Not ideal if your primary need is general-purpose object detection across many different domains outside of sports or if you only process still images rather than video streams.
Stars
92
Forks
41
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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