Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
TrackNetV3 : Beyond TrackNetV2 ,and "First" TrackNet using Attention
🔦 Pytorch implementation of TrackNet
Volleyball tracking - VballNet is a specialized deep learning framework designed for volleyball tracking, built upon the foundation of TrackNetV4. This repository includes two primary models, VballNetV1 and VballNetFastV1
Single-camera tennis analysis pipeline using YOLO and TrackNet for court, player, and ball detection with geometric reconstruction.
Real-time AI-powered badminton performance analysis using computer vision, player and shuttlecock tracking, shot recognition, and interactive dashboards.
🏸 Analyze badminton performance in real-time with AI-driven player tracking, shot analysis, and interactive dashboards for insightful training.
python computer-vision opencv machine-learning deep-learning yolov3 sort tracknet object-tracking ball-tracking sports-analytics video-analytics real-time tennis
Shuttlecock hitting event detection and rally analysis in badminton using computer vision (TrackNet/YOLO) and machine learning (F0/F1 feature sets) for match winner prediction.
Add a description, image, and links to the tracknet topic page so that developers can more easily learn about it.
To associate your repository with the tracknet topic, visit your repo's landing page and select "manage topics."