https://github.com/eric-huyl/skelmo
A pose recognition project capable of multi-form inputs.
https://github.com/eric-huyl/skelmo
computer-vision edge-computing
Last synced: over 1 year ago
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A pose recognition project capable of multi-form inputs.
- Host: GitHub
- URL: https://github.com/eric-huyl/skelmo
- Owner: eric-huyl
- Created: 2025-01-08T07:47:59.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-02-11T13:00:19.000Z (over 1 year ago)
- Last Synced: 2025-02-11T13:40:32.244Z (over 1 year ago)
- Topics: computer-vision, edge-computing
- Language: Python
- Homepage:
- Size: 54.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SkelMo
SkelMo 是一个基于 **MediaPipe** 的姿态识别项目，能够从视频、图像和实时流中识别全身关节角度。该项目利用 MediaPipe 的姿态检测功能来分析人体关节并实时或从静态输入中计算其角度。
## 功能
- 从视频、图像或实时流中检测人体关节。
- 提取并计算全身姿态的关节角度。
- 实时姿态检测和分析。
## 技术栈
- **Python** 3.x
- **MediaPipe** 用于姿态识别
- **OpenCV** 用于处理视频和图像输入
- **NumPy** 用于数据处理
- **Matplotlib**（可选）用于可视化关节角度数据
## 安装与设置
### 1. 克隆仓库
```bash
git clone https://github.com/eric-huyl/SkelMo.git
cd SkelMo
```
### 2. 创建并激活 conda 环境
```bash
conda create --name pose-recognition python=3.10
conda activate pose-recognition
```
### 3. 安装依赖
```bash
pip install -r requirements.txt
```
### 4. 运行项目（待办事项!!!）
- **视频中的姿态检测：**
```bash
python pose_recognition.py --video_path path_to_video.mp4
```
- **图像中的姿态检测：**
```bash
python pose_recognition.py --image_path path_to_image.jpg
```
- **实时姿态检测（使用摄像头）：**
```bash
python pose_recognition.py --live
```
## 许可证
MIT
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