https://github.com/denpalrius/football_analysis

Football match analysis using YOLO v8 and OpenCV
https://github.com/denpalrius/football_analysis

ai cnn computer-vision deep-neural-networks ml opencv yolo

Last synced: about 1 month ago
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Football match analysis using YOLO v8 and OpenCV

• Host: GitHub
• URL: https://github.com/denpalrius/football_analysis
• Owner: denpalrius
• Created: 2024-04-27T00:28:09.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-28T07:07:54.000Z (about 2 years ago)
• Last Synced: 2025-02-27T05:46:35.186Z (over 1 year ago)
• Topics: ai, cnn, computer-vision, deep-neural-networks, ml, opencv, yolo
• Language: Jupyter Notebook
• Homepage:
• Size: 16.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Football match analysis using YOLO v8 and OpenCV

This is a Computer Vision project usibg YOLO V8 and OpenCV in Python to analyse a Bundesliga football match.

- Train Yolo5 moidel with annotated dataset

- Use the model to predict and create the bounding boxes

- Track the bounding boxes 

    - Since we're not streaming we will pickle them to avoid costly inference

- Draw ellipse on the players and referee bounding boxes for better viewing experience