BOS-HA - 基于深度学习的手语识别系统

BOS-HA是一个完整的手语识别系统，包括模型训练、实时识别、模型管理和Web客户端界面等功能。

功能特点

实时手语识别: 支持通过摄像头进行实时手语识别
多种模型支持: 支持PyTorch和OpenVINO模型
模型训练与转换: 内置训练模块，支持模型转换为OpenVINO格式
Web客户端界面: 提供直观的Web界面，支持实时显示和历史记录
WebSocket通信: 基于WebSocket的实时通信架构
可扩展的模型库: 支持多种模型的添加和切换

安装

pip install BOS-HA

快速开始

启动服务器

bosha-server

启动Web客户端

bosha-client

训练模型

bosha-train --config config.json

模型管理

列出可用模型

# 通过API获取
curl http://localhost:8000/models

切换模型

# 通过API切换
curl -X POST "http://localhost:8000/models/switch?model_name=hand_sign_model&model_type=pytorch"

技术架构

后端: FastAPI + WebSocket
前端: Flask + SocketIO + HTML/CSS/JavaScript
模型: PyTorch + OpenVINO
视频处理: OpenCV

目录结构

bosha/
├── server/         # 后端服务
│   ├── models/     # 模型文件
│   ├── services/   # 服务模块
│   └── main.py     # 主入口
├── client/         # 客户端
│   └── web_client/ # Web客户端
└── training/       # 训练模块

许可证

MIT License

贡献

欢迎提交Issue和Pull Request！

联系方式

项目主页: https://github.com/bos-ha/BOS-HA
联系邮箱: contact@bos-ha.com

Metadata

Release files for BOS-HA 1.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for BOS-HA 1.1.2
File	Size	Uploaded
bos_ha-1.1.2.tar.gz	72.7 kB	Dec 16, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for BOS-HA 1.1.2
File	Interpreter	ABI	Platform	Reset
bos_ha-1.1.2-py3-none-any.whl 90.7 kB Dec 16, 2025	Python 3	none	any	Details

Total release size: 163.4 kB

Release files / bos_ha-1.1.2.tar.gz

Download URL	bos_ha-1.1.2.tar.gz
Size	72.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`9a9be26c3f114b5bfb4dfa79eef750ea98aad30026e61e185f86ab6be5b5f933`
BLAKE2b-256 checksum How to use checksums	`ca0ae368dd4e96a1ae702e49f7e37399bc2eb5798ae819f25987b063b98ebaa2`
Upload date	Dec 16, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.11.9`

Release files / bos_ha-1.1.2-py3-none-any.whl

Download URL	bos_ha-1.1.2-py3-none-any.whl
Size	90.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7070873a41a6fd2d12ba40822a2ba5dbc6f93fdcb30186fcfd79b75c3bad7d00`
BLAKE2b-256 checksum How to use checksums	`fa350c27323a312f34fad39052a0d3bbb8995701f2740c5a04a43c069571d0f5`
Upload date	Dec 16, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.11.9`