hgupt3 / TRACE
TRACE is a tool that takes a single tennis match video feed and automatically extracts player, court, and ball information. The collected information allows us to see the top-view of the tennis match in progress.
☆55Updated last year
Related projects: ⓘ
- ☆14Updated last year
- Tennis analysis using deep learning and machine learning☆77Updated 3 weeks ago
- Deep learning network for detecting tennis court☆89Updated 6 months ago
- Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification☆40Updated last month
- Unofficial PyTorch implementation of TrackNet☆57Updated 6 months ago
- Heatmap based high speed tiny sport objects tracking based on TrackNet☆43Updated 4 years ago
- ☆92Updated 2 years ago
- ☆68Updated 3 years ago
- This computer vision project analyzes tennis match videos using cutting-edge techniques. It employs YOLOv8 for player detection, finetune…☆22Updated 3 weeks ago
- Tracking a table tennis ball in 3d using two cameras, and analyzing the result.☆92Updated 2 years ago
- A Tennis dataset and models for event detection & commentary generation☆80Updated 4 years ago
- This is a project of Camera-Based Table Tennis Posture Analysis.☆28Updated 2 years ago
- TrackNet for badminton tracking using tensorflow2☆132Updated 2 months ago
- ☆40Updated 4 years ago
- Beyond TrackNetV2 ,and "First" TrackNet using Attention☆58Updated last month
- How to Detect Football Players and Ball in Real-Time using YOLOv8: A Computer Tutorial☆34Updated last year
- Object detection and tracking in sports videos☆13Updated last year
- Fully automatic algorithm for tennis court line detection.☆56Updated 2 months ago
- Pytorch implementation of TrackNet☆19Updated last year
- Demo on how to compute soccer ball possession automatically using AI.☆180Updated 9 months ago
- Spatio-Temporal Classification of 🏀 Basketball Actions using 3D-CNN Models on the SpaceJam Dataset.☆49Updated 3 years ago
- FootAndBall: Integrated player and ball detector☆111Updated last year
- ☆31Updated last year
- ☆12Updated 3 years ago
- ☆157Updated 2 years ago
- ☆156Updated 9 months ago
- [CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)☆210Updated 2 weeks ago
- "Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing☆21Updated last year
- Open-source Monocular Python HawkEye for Tennis☆413Updated 7 months ago
- This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect pla…☆391Updated last month