Introduction
OpenCV (Open Source Computer Vision Library) is a powerful tool for computer vision & image processing. It provides a wide range of functions & algorithms that can be used to do many tasks such as object detection, face recognition, & image filtering. OpenCV is widely used in areas such as robotics, augmented reality, & video surveillance.

In this article, we will learn how to install OpenCV (cv2) in Python, which is a popular programming language for computer vision applications.
Make sure Python and pip are preinstalled on your system:
Before installing OpenCV, it's important to ensure that you have Python & pip (a package installer for Python) installed on your system.
Let’s see how you can check if they are installed:
1. Open a terminal or command prompt on your system.
2. Type the following command to check if Python is installed:
python --version
If Python is installed, it will display the version number. For example:
Python 3.9.7
3. Type the following command to check if pip is installed:
pip --version
If pip is installed, it will display the version number. For example:
pip 21.2.4 from /usr/lib/python3.9/site-packages/pip (python 3.9)
If Python or pip is not installed, you need to download & install them before proceeding with the OpenCV installation.
- To install Python, visit the official Python website (https://www.python.org) & download the appropriate version for your operating system. Follow the installation instructions provided on the website.
- To install pip, you can follow the instructions provided in the Python documentation (https://pip.pypa.io/en/stable/installation/).
Once you have Python & pip installed, you are ready to move on to the next step of installing OpenCV.



