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.

agent opencv

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65 Stars

25 Forks

65 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$287.3K

Market Value

$836.5K

How is this calculated?

Growth over time

4 data points · 2025-06-17 → 2026-04-26

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What is the rustyneuron01/Real-Time-Football-Detection GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/rustyneuron01/Real-Time-Football-Detection.git

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[email protected]:rustyneuron01/Real-Time-Football-Detection.git

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Download master.zip

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