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
Hawkeye official app repository. It contains the source code of the AI (developed with OpenCV) and the app itself (developed with t3-stack).
Tracking and Detection of the Soccer Ball
Python implementation of Ball tracking using OpenCV and CvBridge in ROS
An Android app that captures, analyzes, and shares your best snooker shots in real time.
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.
🔗 Bridging Modal Isolation in Interleaved Thinking: Supervising Modality Transitions via Stepwise Reinforcement
Example
Player and ball tracking map for Tennis.
[CVPRW 2026] Physics-Based 3D Ball Trajectory Reconstruction from Monocular Soccer Video: A Multi-Model Benchmark
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