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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

QR code detector

QR codes, like AruCo markers, are another type of specifically designed object, used to store information and describe 3D space. You can find QR codes almost everywhere, from food packages to museums and robotized factories.

In this recipe, we will understand how to detect QR codes and remove perspective distortions to get a canonical view of the codes. This task may sound easy to complete, but it requires a lot of OpenCV functionality. Let's find out how to do it.

Getting ready

Before you proceed with this recipe, you will need to install the OpenCV 3.x Python API package.

How to do it...

...
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