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Cross-Platform Application Development with OpenCV 4 and Qt5

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  • 281 Students
  • Updated 3/2019
4.1
(31 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 31 Minute(s)
Language
English
Taught by
Packt Publishing
Rating
4.1
(31 Ratings)

Course Overview

Cross-Platform Application Development with OpenCV 4 and Qt5

Develop and deploy apps for mobile and desktop using OpenCV and Qt

OpenCV is the most popular library for building computer vision applications. Qt is a C++ IDE used to create GUI applications with ease. The main benefit of using Qt is that we can integrate OpenCV GUIs of GUIs created with Qt. Follow along with instructor Antonio Ortiz to build cross-platform applications using Qt.

In this course, you will learn to combine the power of OpenCV and Qt. First, you will start by grabbing some images and videos to show them in QML. Antonio also shows you how to calibrate an array of two stereo cameras. You will learn to deploy your application on both Linux and Android platforms.

By the end of this course, you will have become better at developing OpenCV applications, especially with Qt.

About the Author

Antonio Ortiz Lira is a Venezuelan Software Developer and Researcher. He obtained his Engineering Degree in 2010 in the Santa Maria University in Caracas and since then he has worked in Linux operating system development, Computer Vision, robotics, and mobile application programming. He's now the president and lead researcher at Disinglab.

Course Content

  • 7 section(s)
  • 35 lecture(s)
  • Section 1 Setting Up Your Development Environment
  • Section 2 Showing Images and Videos in QML
  • Section 3 Image Processing
  • Section 4 Working with Videos
  • Section 5 Getting Depth Information from Images
  • Section 6 Working with Android
  • Section 7 Debugging and Testing

What You’ll Learn

  • Build cross-platform applications with Qt.
  • Create UIs using Qt and integrate OpenCV with Qt.
  • Use OpenCV to filter and process images and detect colors and objects.
  • Develop desktop and Android applications with Qt Quick.
  • Call Android native method with Qt and C++.
  • Debug and unit-test your C++ and QML code.


Reviews

  • K
    Konstantin
    2.5

    Очень невнятная речь

  • S
    Sandro Botti
    2.0

    Credo che una sezione con esempi di installazione anche su windows avrebbe aiutato, se non ho l'ambiente linux quello che ho visto nella prima sezione non mi sarà di aiuto e dovrò risolvere i problemi a tentativi.

  • M
    Manivannan
    1.0

    They wont reply to your support questions, the videos are not in a order also , average English explanations

  • H
    Henny Keyzer
    3.0

    the right content - not always clear with explanations. Good that the basic code is provided.

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