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Learning OpenCV 4 Computer Vision with Python 3

You're reading from   Learning OpenCV 4 Computer Vision with Python 3 Get to grips with tools, techniques, and algorithms for computer vision and machine learning

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Length 372 pages
Edition 3rd Edition
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Authors (2):
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Joe Minichino Joe Minichino
Author Profile Icon Joe Minichino
Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (13) Chapters Close

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs FREE CHAPTER 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

Modifying the application

Let's open the Cameo.py file, which contains the Cameo class that we last modified in Chapter 3, Processing Images with OpenCV. This class implements an application that works well with regular cameras. We do not necessarily want to replace this class, but rather we want to create a variant of it that changes the implementations of some methods in order to work with depth cameras instead. For this purpose, we will make a subclass, which inherits some of the Cameo behaviors and overrides other behaviors. Let's call it a CameoDepth subclass. Add the following line to Cameo.py (after the Cameo class and before the __main__ code block) in order to declare CameoDepth as a subclass of Cameo:

class CameoDepth(Cameo):

We will override or reimplement the __init__ method in CameoDepth. Whereas Cameo instantiates our CaptureManager class with a device...

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