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Learn OpenCV 4 by Building Projects, - Second Edition

You're reading from  Learn OpenCV 4 by Building Projects, - Second Edition

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Pages 310 pages
Edition 2nd Edition
Languages
Authors (3):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Introducing the OpenCV user interface

OpenCV has its own cross-OS user interface that allows developers to create their own applications without the need to learn complex user interface libraries. The OpenCV user interface is basic, but it gives computer vision developers the basic functions to create and manage their software developments. All of them are native and optimized for real-time use.

OpenCV provides two user interface options:

  • A basic interface based on native user interfaces, cocoa or carbon for Mac OS X, and GTK for Linux or Windows user interfaces, selected by default when compiling OpenCV.
  • A slightly more advanced interface based on Qt library that is a cross-platform interface. You have to enable the Qt option manually in CMake before compiling OpenCV.

In the following screenshot, you can see the basic user interface window on the left, and the Qt user interface...

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