{"repo":"DevaNandanJS/Football-Tactical-Analysis-AI-Coaching","free":true,"listed":false,"github":"https://github.com/DevaNandanJS/Football-Tactical-Analysis-AI-Coaching","clone":"git clone https://github.com/DevaNandanJS/Football-Tactical-Analysis-AI-Coaching.git","description":"Automated football tactical analysis system using Deep Learning and Object Tracking to extract real-time player stats, heatmaps, and passing networks directly from video.","language":"Jupyter Notebook","stars":14,"topics":["analytics","botsort","football","object-detection","pose","yolo"],"license":null,"category":"analytics","readme_excerpt":"⚽ AI Football Tactical Analysis System A professional-grade computer vision pipeline for automated football coaching and scouting insights. This system transforms raw match footage into actionable tactical data. By leveraging state-of-the-art Deep Learning (YOLO), Object Tracking (BoTSORT), and geometric transformation algorithms, it digitizes the game into a comprehensive set of statistics and visualizations. --- 🚀 Key Features 1. Advanced Computer Vision Object Detection: Uses YOLO models to detect Players, Goalkeepers, Referees, and the Ball with high precision. Robust Tracking: Implements BoTSORT and Kalman Filters to track unique player identities across frames, handling occlusions and camera motion. Keypoint Extraction: Automatically detects field landmarks (corners, penalty spots) to understand the camera's perspective. 2. Tactical Logic Engine Perspective Transformation (Homography): Maps 2D screen pixels to real-world pitch coordinates (meters), allowing for accurate distance and speed calculations. Team Classification: Uses K-Means Clustering on player jersey colors to automatically separate teams (e.g., Al Nassr vs. Opponent). Possession Logic: a sophisticated proximity-based state machine determines which player controls the ball at any millisecond. Pass Event Detection: Automatically identifies passes, interceptions, and possession turnovers. 3. Analytics & Visualization Output The system generates a suite of artifacts for coaches: Annotated Video: Overlay inclu","default_branch":null,"files":null,"tree":[],"storefront":"/r/DevaNandanJS","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DevaNandanJS/Football-Tactical-Analysis-AI-Coaching/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}