KieDani/UpliftingTableTennis
Official implementation of the paper "Uplifting Table Tennis: A Robust, Real-World Application for 3D Trajectory and Spin Estimation". https://kiedani.github.io/WACV2026/
This tool helps table tennis coaches and analysts understand player performance by analyzing ball trajectories and spin from video footage. You provide a video of a table tennis match, and it outputs precise 3D ball paths and spin estimations. It's designed for professionals who want to quantify subtle aspects of a player's game without needing specialized hardware beyond a camera.
Use this if you need to accurately track the 3D trajectory and spin of a table tennis ball from standard video recordings to gain deeper insights into player mechanics and game strategy.
Not ideal if you're looking for a simple, plug-and-play mobile app for casual real-time ball tracking without detailed spin or 3D trajectory data.
Stars
16
Forks
6
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KieDani/UpliftingTableTennis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
roboflow/sports
computer vision and sports
chonyy/AI-basketball-analysis
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
mradovic38/football_analysis
A comprehensive tool for processing and analyzing video footage, producing detailed insights...
wmcnally/deep-darts
DeepDarts is the first deep learning-based automatic scoring system for steel-tip darts. It...
Chaganti-Reddy/Tennis-Analysis-YOLOV8
This is a Tennis Analysis using YOLO Models, Ultralytics and CNN Models