Open-source Monocular Python HawkEye for Tennis
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Updated
Feb 14, 2024 - Python
Open-source Monocular Python HawkEye for Tennis
Applying Deep Learning Approaches to Volleyball Data
Tracking a table tennis ball in 3d using two cameras, and analyzing the result.
Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
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
"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing
Balance a ping pong ball with a Webcam and Arduino
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
Cricket Ball Trajectory Detection And Prediction
Example
Player and ball tracking map for Tennis.
Find time to reach end of ball track using dynamics and kinematics
Using Yolov6-nano to detect tennis ball and apply sort algorithm to track the ball in real-time
Tool for multi-view camera calibration - Ball detection and tracking.
The code of all projects I have worked on, using Arduino
A ball following pet robot designed and implemented using the Pixy cam and Arduino Uno MCU.
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