Raspberry Pi - HTTP404Not-Found/SPSS-STEM GitHub Wiki

Google Teachable Machine＋Raspberry Pi

Google Teachable Machine 匯出文件類型

1.安裝CMake(配置安裝OpenCV)，GCC(編譯):

$ sudo apt-get install cmake
$ sudo apt-get install gcc g++

2.安裝python3：

$ sudo apt-get install python3-dev python3-numpy

3.安裝GUI 功能、相機支持（v4l）、媒體支持（ffmpeg、gstreamer）:

$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev
$ sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev

4.安裝GTK2/3

$ sudo apt-get install libgtk2.0-dev
$ sudo apt-get install libgtk-3-dev

5.依賴:

$ sudo apt-get install libpng-dev
$ sudo apt-get install libjpeg-dev
$ sudo apt-get install libopenexr-dev
$ sudo apt-get install libtiff-dev
$ sudo apt-get install libwebp-dev

6.下載 OpenCV(從 GitHub Repository下載最新源代碼。):

$ sudo apt-get install git
$ git clone https://github.com/opencv/opencv.git

7.先在opencv文件夾內命名為build的文件夾:

$ mkdir build
$ cd build

8.配置和安裝:

／opencv/build $ cmake ../
／opencv/build $ make
／opencv/build $ sudo install

9.重新开启SWAP服务:

$ sudo /etc/init.d/dphys-swapfile stop
$ sudo /etc/init.d/dphys-swapfile start

10.下載模型及文件解壓傳入raspberry pi

$ cd converted_tflite_quantized/
/ converted_tflite_quantized  $ ln -s /usr/local/python/cv2/python-3.7/cv2.cpython-37m-arm-linux-gnueabihf.so cv2.so

11.將分類器放入 converted_tflite_quantized

12.執行

/ converted_tflite_quantized $ python3 TM2_tflite.py --model model.tflite --labels labels.txt