Python: building opencv environment

Machine vision 001 2020-11-13 02:49:47
python building opencv environment

Python: build OpenCV Environmental Science

OpenCV Introduce

OpenCV It's based on BSD The license ( Open source ) Cross platform distribution Computer vision and machine learning Software library , Can run in Linux、Windows、Android and Mac OS On the operating system . It's lightweight and efficient -- By a series of C Functions and small quantities C++ Class a , It also provides Python、Ruby、MATLAB Language interface , Realized The image processing And many general algorithms in computer vision .

OpenCV use C++ Language writing , It has C ++,Python,Java and MATLAB Interface , And support Windows,Linux,Android and Mac OS,OpenCV Mainly for real-time visual applications , And use when available MMX and SSE Instructions , Now it's also available for C#、Ch、Ruby,GO Support for .

Usage environment

This article applies to Win10 64 Bit system Python3.8.6.python3.8.6、pip As a prerequisite .

python It can be downloaded from the official website :, It is recommended to use exe installer,pip It will be installed with it .

Add... To the environment variable python The installation path :

C:\Program Files\Python\Python38\Scripts\

C:\Program Files\Python\Python38\

Installation Library

pip install numpy
pip install matplotlib
pip install opencv-python

View Library

C:\Windows\system32>pip list
// result
Package Version
--------------- ---------
certifi 2020.6.20
cycler 0.10.0
kiwisolver 1.2.0
matplotlib 3.3.2
numpy 1.19.3
Pillow 8.0.1
pip 20.2.4
pyparsing 2.4.7
python-dateutil 2.8.1
setuptools 50.3.2
six 1.15.0
wheel 0.35.1

such ,OpenCV The environment has been set up .

Test environment

Write as follows Python Script :

# Import cv modular
import cv2 as cv
# Read images , Support bmp、jpg、png、tiff And so on
img = cv.imread("D:\Lena.jpg")
# Create windows and display images
# release window

Run the above script , If you can show the test image , Then the environment is built successfully .






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