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

We covered some basic ideas about editing images. Next, we’ll learn some advanced techniques to edit images in OpenCV. The major points we’ll cover are mentioned in the illustration below.




Color channels are the main component of a color image. Therefore, we need to learn how to separate those color channels. This helps us understand different color intensities in the image and allows us to create mono-colored images.

# What are color channels?

A color image consists of three color channels—blue, green, and red. We merge these three color channels to create color images. OpenCV allows us to split an image into respective color channels. Additionally, it allows us to merge the color channels to form a color image.


# Split color channels
To split color channels, we use the `cv2.split()` method of the OpenCV library.







Learn about color channels, as well as how to split and merge them.


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

Split and Merge Color Channels