Player and ball tracking map for Tennis.
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Updated
Sep 21, 2025 - TypeScript
Player and ball tracking map for Tennis.
TeamPlan - A team planning and player tracking system for Dutch football clubs
An advanced Discord logging system for FiveM and RedM servers, providing comprehensive logging capabilities with a clean and modern interface.
An advanced Discord logging system for FiveM and RedM servers, providing comprehensive logging capabilities with a clean and modern interface.
Minecraft Server Finder is a small toolkit which helps in finding Minecraft servers and tracking players using the "sample" parameter.
🔎 A PvP mod that encourages raiding. Allows the tracking of players via special trackers.
Workflow pro automatizované zpracování GPS dat s cílem podpořit analytickou interpretaci výkonu hráčů
A Player Re-Identification system for sports footage that detects players, assigns consistent IDs, and handles re-entries using YOLOv11 and DeepSORT. Its modular design supports easy testing, feature extraction, and customization.
Web App for Tracking NBA Stats
Real-time soccer player tracking using YOLOv11 and multiple object tracking algorithms like ByteTrack and DeepSORT
A real-time Valheim server monitoring dashboard that displays server status, player information, and system metrics. Built with Docker, Python, Chart.js, and hosted on an Azure VM.
Roblox player metric tracker
A robust computer vision system for player re-identification in sports footage using a dual-YOLOv8 model approach and real-time field registration (Homography).
⚽️A deep learning-based system designed for re-identifying football players across video frames and camera angles using person re-identification techniques. This project combines computer vision, feature extraction, and player tracking to help automate sports analytics and player recognition.
A real-time soccer player re-identification system using YOLO-based detection and custom tracking logic. Detects players and maintains consistent IDs throughout a single video feed, even after occlusions or re-entry. Built using Python, OpenCV, and Ultralytics YOLO.
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