Python OpenCV Augmented Reality

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn about data augmentation.

Learn about the homography matrix

Learn about perspective wrap.

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Note: The rhyme platform currently does not support webcams, so this is not a live project. This guided project is about augmented reality using Python OpenCV. It comes under the computer vision domain. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Feature: 1. Identifying AugmentedReality uco codes. 2. Obtaining homography matrix. 3. Applying Perspective wrap. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Data ScienceOpencvPython Programmingperspective wraphomography

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Construct argument parser

  2. Identify ArUco codes and create dictionary.

  3. Perspective wrap.

  4. Apply a mask.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.