Open-source Monocular Python HawkEye for Tennis

Applying Deep Learning Approaches to Volleyball Data

Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification

Tracking a table tennis ball in 3d using two cameras, and analyzing the result.

Apply computer vision to table tennis for match / training analysis

[KDD 2023] Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Official implementation of TrackNetV5

"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing

Balance a ping pong ball with a Webcam and Arduino

Cricket Ball Trajectory Detection And Prediction

Tracks trajectory of a ball using OpenCV and Kalman Filters

Tracking and Detection of the Soccer Ball

Hawkeye official app repository. It contains the source code of the AI (developed with OpenCV) and the app itself (developed with t3-stack).

Python implementation of Ball tracking using OpenCV and CvBridge in ROS

Intelligent Snooker Video Analyzer turns ordinary snooker footage into professional-grade insights. It automatically detects every shot, tracks cue ball path, and generates cinematic highlights in seconds. Built for clubs, academies, and passionate players, it delivers instant real-time playback and highlights share

🔗 Bridging Modal Isolation in Interleaved Thinking: Supervising Modality Transitions via Stepwise Reinforcement

Example

Player and ball tracking map for Tennis.

A tested control, planning, perception, bimanual, and learning platform for the Enactic OpenArm v2 (7-DOF x2) in MuJoCo: IK / Cartesian / compliant control, RRT-Connect planning, dynamic catching and throwing, articulated / cloth manipulation, language-commanded skills, a learned ACT vision policy, RL insertion, and OpenArm-Bench.

Using Yolov6-nano to detect tennis ball and apply sort algorithm to track the ball in real-time