Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
TrackNetV3 : Beyond TrackNetV2 ,and "First" TrackNet using Attention
本地离线乒乓球回合分析与自动视频剪辑工具
🔦 Pytorch implementation of TrackNet
羽毛球比赛视频智能分析 | Badminton match video analytics: TrackNet shuttle detection + YOLOv8s-pose player tracking + court homography + bullet-time FX. Runs end-to-end on Apple Silicon. 完整文档与 AI agent 任务包见 HANDOVER.md
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
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.
Single-camera tennis analysis pipeline using YOLO and TrackNet for court, player, and ball detection with geometric reconstruction.
Windows app for white table-tennis ball tracking and subtle trajectory rendering with TrackNetV3.
🖥️ Unify multiple GPUs into a single logical accelerator to boost compute efficiency and simplify multi-GPU execution and scheduling.
python computer-vision opencv machine-learning deep-learning yolov3 sort tracknet object-tracking ball-tracking sports-analytics video-analytics real-time tennis
Scalable Flask API powering the Badminton AI Analyser. Orchestrates a concurrent multi-model pipeline (YOLO, StrongSORT, TrackNet, SlowFast) on Google Cloud Platform to process high-speed match footage.
스마트폰 2대 기반 야구 ABS — 공 검출→2-view 삼각측량 3D 복원→KBO 2-plane Strike/Ball 판정 재현 파이프라인 (영상부터 표·그림 재생성)
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."