NikolasEnt/soccernet-calibration-sportlight
SoccerNet@CVPR | 1st place solution for Camera Calibration Challenge 2023
This project helps sports analysts and broadcasters accurately determine the camera's position and orientation on a soccer field from video footage. It takes raw video frames of a soccer match and outputs precise camera calibration parameters, allowing for enhanced match analysis, player tracking, and virtual graphics overlays. This tool is for sports technology professionals who need to derive exact camera perspectives from live or recorded soccer games.
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Use this if you need to precisely calibrate soccer camera views to enhance sports analytics, create virtual overlays, or improve player tracking systems.
Not ideal if you lack access to high-performance computing resources with an Nvidia GPU and Docker, or if your application is outside of soccer camera calibration.
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60
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Language
Python
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Last pushed
Dec 30, 2024
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