JanSkn/football-computer-vision
Using machine learning (computer vision & deep learning) to analyse football match parameters such as ball possession, tracking players and more.
This tool helps football analysts and coaches automatically review match footage. You provide a video of a football game, and it tracks players, referees, and the ball, assigning players to teams, and calculating ball possession. The output is an annotated video with highlighted elements and match statistics, streamlining post-match analysis for coaching staff and performance analysts.
No commits in the last 6 months.
Use this if you need to quickly get detailed statistics and visual tracking from football match videos without manual annotation.
Not ideal if you require highly precise, pixel-level motion analysis for individual player biomechanics or highly specific tactical drills that go beyond general tracking and possession.
Stars
12
Forks
3
Language
Python
License
—
Category
Last pushed
Dec 23, 2024
Commits (30d)
0
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