Project Overview
This project uses computer vision to track bowling mechanics and generate detailed statistics for players. It aims to help bowlers improve their game through data-driven insights.
Key Features
- Ball Tracking: Automated tracking of ball trajectory and speed.
- Pinfall Detection: Analysis of pin action and leave patterns.
- Performance History: Long-term tracking of player averages and improvements.