Home > Backend Development > Python Tutorial > How to configure opencv in python

How to configure opencv in python

爱喝马黛茶的安东尼
Release: 2019-08-02 16:03:40
Original
10178 people have browsed it

How to configure opencv in python

Configure the opencv library in python and use the pycharm environment

1. Download from the official website: Click to open the link, official website There are all openCV versions on the website. Find the version and system you want. After clicking, a new page will pop up. No operation is required and it will be downloaded automatically. Note: There is no difference between 32-bit and 64-bit. The installation program will automatically choose to install the 32-bit or 64-bit version according to your computer system. As shown in the picture:

How to configure opencv in python

2. Double-click to run openCV_xxx.exe to execute the program

Select the directory where you want to install the files, then click extract and install all the way. , that’s it. As shown in the figure:

How to configure opencv in python

Related recommendations: "Python Video Tutorial"

3. Configure openCV environment variables

The first step is to select "Computer", right-click and select "Properties", "Advanced System Settings"->"Environment Variables". Find the "System Variables" -> "path" value under environment variables, and then select "Edit" as shown in the figure:

How to configure opencv in python

Then add the "bin" of openCV Folder location, this "bin" is the directory where you just installed the openCV program. For example, my installation location is "F:\chengxin\openCV2.4.9\opencv\build\x64\vc11\bin". Note: "X64" here means that my computer is a 64-bit system. If your computer is 32-bit, you should look for it under "x86". "VC11" means that my computer is installed with vs2012. If your computer is If VS2010 is installed on your computer, you should be in the "vc10" folder. If it is VS2013, it should be in the "vc12" folder, as shown in the figure:

How to configure opencv in python

in the pop-up In the window, add ";" and the directory just now after "Variable Value", that is, add this string ";F:\chengxin\openCV2.4.9\opencv\build\x64\vc11\bin". As shown in the figure:

How to configure opencv in python

#The installation and configuration of openCV ends here.

Configure python's openCV reference.

After installing python and openCV, how to connect them? First find the "cv2.pyd" file in your openCV installation directory. My 64-bit system directory is "F:\chengxin\openCV2.4.9\opencv\build\python\2.7\x64". If you are a 32-bit system, then you should be under "x86". As shown in the picture:

How to configure opencv in python

Copy and paste this file into the "Python27\Lib\site-packages" of the python installation directory. Mine is "C:\Python27 \Lib\site-packages". As shown in the picture:

How to configure opencv in python

#OK, the installation is complete at this time. Through the cmd console, we can try to run some examples written in python that come with openCV. These examples can be seen under "opencv\sources\samples\python".

Output the histogram of a color image:

import cv2import numpy as npfrom matplotlib import pyplot as plt
img = cv2.imread('/home/aobo/Pictures/IMG_4137.JPG')color = ('b','g','r')# enumerate():python里的一个新函数
# 它的作用:同时遍历索引(i)和元素(col)for i,col in enumerate(color):
    histr = cv2.calcHist([img], [i], None, [256], [0, 256])
    plt.plot(histr, color = col)
    plt.xlim([0, 256])plt.show()
Copy after login

The above is the detailed content of How to configure opencv in python. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template