face-detected

• 1. 将installer文件夹的内容拷贝到树莓派上， 执行setup.sh文件，会在桌面生成一个face-detected应用，执行。
• 2. 打开face-detectd-demo文件夹，kfpkg文件夹下有人类识别模型， 按 http://wiki.seeedstudio.com/Grove_AI_HAT_for_Edge_Computing/ 教程将人脸识别模型刷写到K210上，打开Arduino 更新最新的K210 Pi板定义，打开Face_Detect_Demo.ino， 将程序刷写到K210 Pis上
• 3. 运行树莓派上的face-detected程序，当有人脸出现时计次，Reset复位。

ps: 如果setup.sh文件执行不成功，可尝试执行 face-detected.sh

• 1. Copy the contents of the installer folder to the Raspberry Pi, execute the setup.sh file, and generate a face-detected application on the desktop for execution.
• 2. Open the face-detectd-demo folder, there is a human recognition model under the kfpkg folder, and the face recognition model is written to the K210 according to the http://wiki.seeedstudio.com/Grove_AI_HAT_for_Edge_Computing/ tutorial, and the Arduino update is updated. K210 Pi board definition, open Face_Detect_Demo.ino, and write the program to K210 Pis
• 3. Run the face-detected program on the Raspberry Pi. When someone faces appear, Reset resets.

Ps: If the setup.sh file is not executed successfully, try executing face-detected.sh