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A foolproof guide to image manipulation in Python with OpenCV

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Whether you want to build a complex deep learning model for a self-driving car, a live face recognition program, or making your image processing software for your graduate project, you will have to learn OpenCV along the way.

OpenCV is a huge image and video processing library designed to work with many languages such as python, C/C++, Java, and more. It is the foundation for many of the applications you know that deal with image processing.

Getting started with OpenCV can be challenging, primarily if you rely on its official documentation, which is known for being cumbersome and hard to understand.

Today we will learn how to work with OpenCV, and I’ll do my best to keep it simple.

Install OpenCV

Now it’s the time to install OpenCV using only one simple command:

Importing a simple image

The first thing you will need to learn is importing a simple image and displaying it using OpenCV.

The code is straightforward:

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