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Unlock the Power of Computer Vision using Python: 7 Essential OpenCV Features You Need to Know
Computer Vision   Latest   Machine Learning

Unlock the Power of Computer Vision using Python: 7 Essential OpenCV Features You Need to Know

Last Updated on March 6, 2024 by Editorial Team

Author(s): Davide Nardini

Originally published on Towards AI.

7 OpenCV Python Functions That Will Revolutionize Your Computer Vision Projects.
Photo by Greg Rakozy on Unsplash

OpenCV is a well-known open-source library for computer vision in Python. It was originally developed by Intel and allows users a wide range of computer vision features.

If you are interested in learning what computer vision is and how it works, I recommend reading my article A Gentle Introduction to Computer Vision.

In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its…

OpenCV offers more than 2500 computer vision algorithms for object detection, image classification, movement tracking, and image preprocessing.

The library supports Python, C++, Java, and other programming languages.

The power of OpenCV lies in its simplicity: with just a few lines of code, you can unlock powerful and complex computer vision functionalities.

In this tutorial, I will show you some essential OpenCV features you need to know:

Region of Interest (ROI)Black and White ConversionImage ResizingImage RotationBlurCanny (edge detection)Template Matching

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