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Through the raspberry cameras and automatic pre-processing storage, the stored test pictures are automatically acquired and quickly recognized, and the identified results are read out.

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EatonL/Raspberry-MINST

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软硬件环境:

  • 树莓派3B+
  • 树莓派官方 CSI 摄像头
  • python 3.5
  • tensorflow 1.11.0
  • opencv 3.4.4

环境安装及代码解析

详见以下三篇博客:

树莓派上玩MINST(一)

树莓派上玩MINST(二)

树莓派上玩MINST(三)

操作方式

  1. 首先按照官方说明依次安装好 CSI摄像头 、耳机(或是扬声器)
  2. python3 环境下运行 main.py
  3. 在这个界面下:

将方框对准所选数字,按 'c' 截图,多次按下 'c' ,后一次截图会覆盖上一次图片,选好后,按 'q' 退出选图即可。

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Through the raspberry cameras and automatic pre-processing storage, the stored test pictures are automatically acquired and quickly recognized, and the identified results are read out.

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