Why learn OpenCV in Python?

learn opencv Python

Why learn OpenCV in Python? These are basically every beginner’s question, When they think of starting a new course.

In this Blog you will come to know about Computer Vision and why it’s important.

What is Computer Vision?

Computer vision is a mechanism in which computers or machines can perceive images and videos and we can know how images or videos are processed and how computers can access and extract data from them.

Computer Vision uses NumPy library in Python for storage of pixel values in matrices.

NumPy is also used for image manipulation by transforming image matrix.

Why Learn OpenCV in Python?

Humans have the power to read patterns, and we can understand something once we see it already. Yet that’s not the case for the machines.

Computers are very good at number recognition (0&1s).

They read symbols in the form of numbers and are unable to read patterns as we humans do.

The computer stores any image in matrix form and each value as a range of values between 0 and 255.

For a color image there is 3 channels matrix each matrix ranging from 0 to 255.

There are three main channels for each color picture–Red, Green, and Blue.

A matrix is formed for each primary color and, later, these matrixes merge to have a Pixel representation for each R, G, B color.

Each dimension of the matrices provides data on the strength of the pixel’s brightness.

Python plays an important role to learn OpenCV. Read why you should learn python?

Applications of OpenCV in Python

OpenCV Functionality

  • Image/video I/O, processing, display
  • Object/feature detection
  • Computational photography
  • Machine learning & clustering

Learn OpenCV Python Examples


Face Recognition

Face Recognition opencv Python


OpenCV in Python is used for image processing and image manipulation like Face Detection, Object tracking and Detection, Lane Detection for self driving cars, Motion detection, and Live sketch.

Learn Image Manipulation in OpenCV.

Object Detection opencv
Blue Coloured Balls Detection | source – Divyanshu Shekhar

Steps in Image-Processing

  1. Importing the Image
  2. Analyzing and manipulating the Image
  3. The output of the Manipulated and processed Image

Lane Detection

Know how self-driving cars implement lanes detection.

Self driving car is the future technology and self driving cars use Lane Detection for driving the car on the road and for safety features.

Lane Detection

Motion Detection

Video of Motion Detection using OpenCV python.

This Technology is useful in CCTV cameras to detect any kind of movement. If there is any crime, we first look at cctv footage to detect any kind of motion in the video frames.

Motion Detection

Live Sketch OpenCV

OpenCV is also used for sketch creation also in real time.

Sketch in OpenCV is created using Canny edge detection and Image thresholding.

live sketch opencv
live sketch opencv | Source- Divyanshu Shekhar

Transition Effect OpenCV

Transition effect OpenCV python
Source | Divyanshu Shekhar

We can also create transition effect in OpenCV Python.

Learn OpenCV Python GitHub

Official OpenCV Python GitHub – https://github.com/opencv

Learn OpenCV python from Divyanshu Shekhar’s GitHub AccountOpenCV

Divyanshu Shekhar

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