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Rockx demo for RK1808 master mode over Linux/Windows/MacOS/Android
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README.md

README.md

前言

本demo用于演示RK1808主动模式的跨平台特性,RK1808端接收上位机发送的图像数据,调用rockx进行推理,并将结果返回给上位机进行显示。

上位机部署

  1. python3.6环境准备
  2. Linux/MacOS: pip3 install –-user opencv-python
  3. Windows: pip3 install opencv-python
  4. 参考wiki的http://t.rock-chips.com/wiki.php?mod=view&id=62,通过网页192.168.180.8将计算棒配置成主动模式
  5. 参考wiki说明http://t.rock-chips.com/wiki.php?mod=view&id=76,配置RK1808计算棒NAT网络共享。
  6. 上位机插入USB camera或者使用内置摄像头
  7. 运行RK1808端服务程序之后,启动上位机端程序。以face_landmark为例,等待RK1808端启动face_landmark_server.py以后,上位机端运行face_landmark_server.py
  8. 安卓端源码参考https://github.com/rockchip-toybrick/master_rockx_android_demo

1808端部署

  1. sudo dnf install -y python3-opencv
  2. sudo dnf install –y rockx-devel
  3. sudo dnf install –y python3-toybrick-0.2-12.aarch64.rpm
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