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.

Learn OpenCV from scratch with Python Cover-01.png

opencv.tar.gz

main

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

How to get the dimensions of an image read as `img`?

How to get the dimensions of an image read as <code>img</code>?

`rotationMatrix = cv2.getRotationMatrix2D(pointRot,angle, scale)` 

Here, what should be the angle to rotate the image 75 degrees in the anti-clockwise direction?

<code>rotationMatrix = cv2.getRotationMatrix2D(pointRot,angle, scale)</code>
Here, what should be the angle to rotate the image 75 degrees in the anti-clockwise direction?

`warpedImg = numpy.warpPerspective(img, m, (w, h))`

`warpedImg = cv2.warpPerspective(img, m, (w, h))`

`warpedImg = cv2 warpPerspective(img, m, (w, h))`

`warpedImg = cv2.WarpPerspective(img, m, (w, h))`

We have an image read as `img`. Which is the proper way to warp the image with matrix `m`, width `w`, and height `h`?

We have an image read as <code>img</code>. Which is the proper way to warp the image with matrix <code>m</code>, width <code>w</code>, and height <code>h</code>?

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

Quiz: Editing Images