· Raspberry PI Minimalist Installation OpenCv

Xiaosongshine. Github. IO /

The original address: blog.csdn.net/xiaosongshi… Recently, I was developing the raspberry PI + USB camera recognition module and planned to use OpenCv. However, I found that the installation tutorials of Raspberry PI OpenCv on the Internet were too tedious and took up a lot of memory. After my own experiments, I found a very simple and quick way, which could be installed in ten minutes if the Internet speed was OK.

My environment:

  • Raspberry pie 3 b +
  • Python3.5.4
  • Raspberry PI official operating system

Here are the installation steps:

  • Raspberry PI related library installation: sudo apt-get update sudo apt-get install libjpeg-dev sudo apt-get install libatlas-base-dev sudo apt-get install libjpeg-dev sudo apt-get install libtiff5-dev sudo apt-get install libpng12-dev sudo apt-get install libqtgui4 libqt4-test sudo apt-get install libjasper-dev
  • Sudo pip3 install opencv-python

The installation is complete

  • test

    Enter: python3 at the terminal

    Then: import cv2

    If the installation is successful, there will be no problem with the import

    Here you can output the version number of OpenCv

    Use: print (cv2.version)

    Exit Python with: exit()

Simple application

Use OpenCv library to read USB camera, real-time display, take photos

  • The code is as follows:
import cv2 import numpy as np cap = cv2.VideoCapture(0) while(1): # get a frame ret, frame = cap.read() # show a frame cv2.imshow("capture", frame) if cv2.waitKey(1) & 0xFF == ord('q'): Cv2.imwrite ("takephoto2.jpg", frame) print("take Photo Ok") break cap.release() cv2.DestroyallWindows ()Copy the code
  • Run a screenshot

(Postscript: This blog is written on raspberry PI, I am not used to the system, and the Chinese input method is also difficult to use.)