Introduction to OpenCV with Python
Introduction
In this tutorial, we are going to learn how to use OpenCV library in Python. OpenCV is an open source library which is supported by multiple platforms including Windows, Linux, and MacOS, and is available for use in multiple other languages as well; however, it is most commonly used in Python for Machine Learning applications, specifically in the Computer Vision domain.
Apart from its cross-platform support and availability in multiple other computer languages, which allows applications developed in it to be used on different systems, OpenCV is also, in comparison to other such libraries, fairly efficient in terms of computations, as it uses vector operations for most of its functions.
In this tutorial, we’ll cover OpenCV installation on Mac, Windows, and Linux, image operations, image arithmetics, image smoothing, and geometric transformations using OpenCV. So without further ado, let’s start.
Installation
Note: Since we are going to use OpenCV in the Python language, it is an implicit requirement that you already have Python (version 3) installed on your workstation. Depending upon your OS, execute one of the following commands to install OpenCV library on your system:
Windows
$ pip install opencv-python
MacOS