2025-10-17 14:11:33 +08:00
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# 算能盒子开发
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[TOC]
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## 盒子环境搭建
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### 资源包
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```
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.
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│ sdcard.tar # 刷机包
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│ uv-aarch64-unknown-linux-gnu.tar.gz # uv python 项目管理工具
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```
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### 网络
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1. 将盒子LAN口与计算机连接，WAN口与交换机/路由器连接
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2. 通过ssh协议与连接连接 192.168.150.1 地址操作盒子
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3. 若无交换机/路由器条件可使用电脑网络共享
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### python环境配置
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在计算机上输入以下命令将 uv-aarch64-unknown-linux-gnu.tar.gz 上传到盒子的 /data 路径（linaro用户的密码为linaro）
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```sh
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scp uv-aarch64-unknown-linux-gnu.tar.gz linaro@192.168.150.1:/data
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```
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解压 uv-aarch64-unkown-linux-gnu.tar.gz 并配置环境
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```sh
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tar -xzvf uv-aarch64-unknown-linux-gnu.tar.gz
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# 将 uv 和 uvx 移动到 /usr/local/bin/（需要 sudo 权限）
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sudo mv uv-aarch64-unknown-linux-gnu/uv /usr/local/bin/
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sudo mv uv-aarch64-unknown-linux-gnu/uvx /usr/local/bin/
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# 确保文件有可执行权限
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sudo chmod +x /usr/local/bin/uv
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sudo chmod +x /usr/local/bin/uvx
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# 验证是否能够执行uv命令
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uv --version # uv 0.9.3
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```
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### 运行示例
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```sh
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2025-10-17 14:16:34 +08:00
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# 克隆示例项目
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git clone http://124.71.68.6:3000/chakcy/sophon_ai_project.git
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# 进入项目
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cd sophon_ai_project
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# 初始化依赖
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uv sync
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# 配置 sophon sdk 环境
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soucre .venv/bin/activate
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python -m dfss --install sail
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# 运行代码
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python3 main.py --input resources/datasets/test --bmodel resources/models/BM1688/yolov8s_int8_1b.bmodel --dev_id 0 --conf_thresh 0.25 --nms_thresh 0.7
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2025-10-17 14:11:33 +08:00
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```
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