Discover OpenCV to enhance AI in computer vision. Learn image/video processing, editing, and basic machine learning like edge, object, and face detection with real-world projects.

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OpenCV is an open-source machine learning library for Python that adds enhanced artificial intelligence capabilities in computer vision and image processing.

This course is a comprehensive introduction to building applications using OpenCV, including viewing, identifying, and editing image and video files using Python. You’ll start with an introduction to the library before immediately applying the framework to view images, video, webcam input, and text. You’ll then take your image captures and apply various edits, including decolorization, cropping, resizing, and captioning with layered text and objects. You’ll continue with basic machine learning functions, including edge, object, and face detection. With the basics in hand, you’ll wrap up with real-world projects to build document scanners and object trackers.

By the end of this course, you’ll have a working knowledge of OpenCV and machine learning. You’ll be prepared to build functional applications using the principles of computer vision in Python.

Mastering Computer Vision in Python with OpenCV

Sometimes, we might want to work with only a portion of an image. For example, while scanning a document, we only want a part of the document scanned. To perform such tasks, follow the steps mentioned in the illustration.












We can get the necessary portion by finding the points around that portion. We then extract it using the `warpPerspective()` function.


<p>We can get the necessary portion by finding the points around that portion. We then extract it using the <code>warpPerspective()</code> function.</p>


How can we get only the necessary portions of an image?


<p>How can we get only the necessary portions of an image?</p>


In this lesson, we’ll get a portion of the first button, “Champions League,” from the image below.



# Get the pixel points 

To get the pixel points of the corners of the image, we can use any image editing tool, such as MS Paint. When we move the cursor to the corner of the area we want to extract, the pixel point will be shown in the bottom left corner of the MS Paint window. This is shown in the following screenshot.


Learn the components of warping images in this lesson.

Introduction to Python OpenCV

Read Images, Videos, and Webcam

Editing Images

Reading and Editing Images with OpenCV

Advanced Editings

Detection

Assessment on Advanced Editing and Detection

Real-life projects

Conclusion

Tracking Moving Objects Using Python

Warp Perspective

Get the pixel points