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https://github.com/szymon-budziak/ai_football_game_analysis
Football game analysis using YOLOv8 for object detection, Optical Flow for motion tracking, speed and distance calculations, perspective transformation, and K-Means clustering for pixel segmentation.
https://github.com/szymon-budziak/ai_football_game_analysis
ai computer-vision kmeans object-detection optical-flow python3 pytorch roboflow scikit-learn segmentation supervision ultralytics yolov8
Last synced: 13 days ago
JSON representation
Football game analysis using YOLOv8 for object detection, Optical Flow for motion tracking, speed and distance calculations, perspective transformation, and K-Means clustering for pixel segmentation.
- Host: GitHub
- URL: https://github.com/szymon-budziak/ai_football_game_analysis
- Owner: Szymon-Budziak
- License: mit
- Created: 2024-07-22T17:55:49.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-30T16:22:07.000Z (6 months ago)
- Last Synced: 2024-11-25T04:13:05.702Z (2 months ago)
- Topics: ai, computer-vision, kmeans, object-detection, optical-flow, python3, pytorch, roboflow, scikit-learn, segmentation, supervision, ultralytics, yolov8
- Language: Jupyter Notebook
- Homepage:
- Size: 99.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE