论文实现 - TrackNetV3:通过增强和轨迹整流增强羽毛球跟踪
tracknet 开源项目推荐(20 个)
tracknet 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 20
GitHub 共 20 个仓库,已全部展示TrackNetV3:超越TrackNetV2,以及使用Attention的“首个”TrackNet
本地离线乒乓球回合分析与自动视频剪辑工具
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
🔦 Pytorch implementation of TrackNet
Single-camera tennis analysis pipeline using YOLO and TrackNet for court, player, and ball detection with geometric reconstruction.
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.
On-device tennis ball tracking: a TrackNet-style CNN in PyTorch, evaluated leakage-free and deployed to Apple Neural Engine via Core ML (52 FPS).
스마트폰 2대 기반 야구 ABS — 공 검출→2-view 삼각측량 3D 복원→KBO 2-plane Strike/Ball 판정 재현 파이프라인 (영상부터 표·그림 재생성)
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
Racket-sports analysis from one phone camera. An Android app plays your own match video while a cloud GPU engine draws the shuttle trail, hits, rallies and court lines on the real footage. No model training; unsupported results are withheld, not guessed.
An AI pipeline to detect and track the tennis ball with combination of YOLO and Tracknet architecture.
Computer-vision tennis analysis with pose tracking, YOLO, TrackNet, and fine-tuned RF-DETR ball detection
AI-powered computer vision analytics and tactical coaching engine for badminton singles matches
Academic group project for the Vision and Cognitive Systems Course of the MSc in Data Science @ UniPD 2024/2025
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.
Core ML port of TrackNetV3 ball tracking for Apple Silicon: converter, inference
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/tracknet。
- 该话题在 GitHub 上共有 20 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 669 Star,覆盖 5 种主要语言,数据更新于 2026-11-12。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。