abhroroy365/Tennis-Tracker
This project utilizes OpenCV, YOLO and CNN to track the position, movement of players in a video. YOLOv8 is used to track the players. YOLOv5 is used to track the position of tennis ball at every frame of the video. ResNet34 is fine-tuned to detect the court keypoints.
This tool helps tennis coaches and analysts automatically track player movements, ball positions, and court interactions from match videos. You provide a tennis match video, and it outputs a video with overlaid visualizations showing where players are moving, the ball's trajectory, and key court lines. This is ideal for anyone looking to quickly analyze game dynamics without manual frame-by-frame review.
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Use this if you need to analyze tennis match videos to understand player movement patterns, ball placement, and court coverage.
Not ideal if you need detailed biomechanical analysis of player form or advanced statistical breakdowns beyond positional tracking.
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Jupyter Notebook
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Last pushed
Apr 14, 2024
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