ganeshsar/UnityPythonMediaPipeAvatar 开源项目中文解读：技术栈、适用场景与上手建议

项目介绍

ganeshsar/UnityPythonMediaPipeAvatar 是一个托管在 GitHub 上的开源项目，主要使用 C# 编写，采用 MIT License 许可证，目前获得 133 个 Star、33 次 Fork。

仓库全名: ganeshsar/UnityPythonMediaPipeAvatar

README 摘要

Unity + Python Google MediaPipe Avatar NOTICE: this project has been replaced by Tracking4All which is actively supported and features much better quality and performance then this project. Overview This project is an attempt at binding the pose generated by MediaPipePose to arbitrary humanoid avatars inside of Unity. MediaPipe runs fully in Python and the results are piped to Unity for the avatar and visualization…

完整内容见 GitHub 原始 README 或本页。

常见问题

UnityPythonMediaPipeAvatar 用什么语言开发？

主要使用 C# 编写，采用 MIT License 许可证，目前有 133 个 Star。

UnityPythonMediaPipeAvatar 可以免费商用吗？

如何获取 UnityPythonMediaPipeAvatar 的源码？

可以直接克隆仓库：git clone https://github.com/ganeshsar/UnityPythonMediaPipeAvatar.git，默认分支为 main；安装与运行步骤见仓库 README。

UnityPythonMediaPipeAvatar 最近还在维护吗？

仓库最近一次更新为 2024年9月10日，当前有 8 个未关闭 Issue；Star 数为 133，可作为社区活跃度的参考。

关于

Creating a multi-threaded full body tracking solution supporting arbitrary humanoid avatars for Unity using Google Mediapipe Pose Python bindings.

avatar fullbodytracking googlemediapipe mediapipe-pose python unity

MIT License
133 Stars
33 Forks
2 Watching

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

简要分析

热度分

201

价值分

活跃状态

归档

GitHub

语言占比

HLSL

Python

贡献者

ganeshsar

Unity + Python Google MediaPipe Avatar

NOTICE: this project has been replaced by Tracking4All which is actively supported and features much better quality and performance then this project.

Overview

This project is an attempt at binding the pose generated by MediaPipePose to arbitrary humanoid avatars inside of Unity. MediaPipe runs fully in Python and the results are piped to Unity for the avatar and visualization. The model, WebCam reading, and game all run on different threads.
image showing waving

Installation

Install Python and Unity (2021.3.24f1 was used, but any version close to that should be fine).
pip install mediapipe
Clone/download this repository.
Run main.py using Python.
Run the Unity project while inside CalibrationScene.
Follow the on-screen instructions. You must copy the pose of the avatar using your webcam for calibration.
Move around after the calibration to control the avatar. You may find this video helpful.

Tracking for Arbitrary Humanoid Avatars

By default, this project includes Unity-chan for testing. If you wanted to use other 3D models, see below:

The humanoid avatar must be rigged for animation and configured as humanoid in the Unity Rig import settings. Also, the following bones are required: Upper Arm -> Hand, Upper Leg -> Foot, Hips -> Chest, Neck -> Head. Most humanoid avatars will have this by default.
The resting pose of the avatar should be a T-pose.
Add the Avatar script to the GameObject and correctly assign all the fields.

Contact me if you’re having trouble with this.

Current Limitations

Currently only supports front facing movement (you must be facing the camera). I will work on upgrading this solution over time. This is my first attempt, but it will work quite well for general pose detection.
If you are interested in only the body pose and not avatar see this other project.

Notes:

See global_vars.py for some basic configuration options to speed up/improve precision of the detection/customize the WebCam reading.
Wearing clothing that contrasts with a background helps a fair bit. Also, good lighting in the room.
DO NOT minimize the Python application when running Windows as this causes the processing to become a background task creating a lot of lag.
There is no limitation on the number of Avatars you can have in scene (up to performance limitations).

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UnityPythonMediaPipeAvatar