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Introduction

Lightweight singles badminton player posture, court detection tool. The framework has a small amount of code and is easy to modify. You can use this tool to get the shuttle player's pose data in competition easily! It means you'll be able to analyze player play more easily using AI methods.

Dynamic diagram game

Features

  1. court detect

  2. net detect

  3. players detect

  4. badminton detect(show trajectory)

  5. event detect(hitting frame capture)

  6. Automatically edits out videos from normal camera viewpoints(show rally)

Notice

Installation and instructions are docs/Quick-Start.md.

If you want to know the updating record,please see documents/Update-journal.md.

For more details about the flags and output format, please see docs/run.md.

References

Automated-Hit-frame-Detection-for-Badminton-Match-Analysis

keypoint_rcnn_training_pytorch

TrackNetV2-pytorch

TrackNetv3

monotrack

CoachAI

yt-dlp

Support

This project is a collaborative effort with Weizhi Tao, supported by RIsports and The Hong Kong Polytechnic University (PolyU).

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