Installing OpenCV with Python.

 Introduction:

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It can be used to perform real-time image and video processing, object detection, recognition and tracking, face recognition, and much more. OpenCV is widely used in many areas such as robotics, self-driving cars, augmented reality, security, and more.

In this article, we will discuss the installation process of OpenCV with Python.

Installation Process:

Before installing OpenCV, make sure that Python and pip are installed on your system. To install OpenCV with Python, follow the below steps:

Step 1: Open the command prompt or terminal on your system.

Step 2: Install OpenCV using pip by running the following command:

pip install opencv-python

This command installs the latest version of OpenCV with Python bindings.

Step 3: Verify the installation by running the following code:

python
import cv2

print(cv2.__version__)

If the installation is successful, the version of OpenCV installed will be printed.

Related Topics:

There are various topics related to OpenCV installation that you may want to explore further. These include:

1. Installing OpenCV with additional modules
2. Installing OpenCV with Anaconda
3. Troubleshooting installation errors

Conclusion:

In this article, we discussed the installation process of OpenCV with Python. OpenCV is a powerful computer vision library that can be used for various tasks such as image processing, object detection, and recognition. With its easy installation process, you can start using OpenCV in your Python projects in no time.