MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.34 GB | Duration: 8h 31m
Develop and deploy apps for mobile and desktop using OpenCV and Qt
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.
Requirements
Basic knowledge of C++ programming is assumed. No previous experience with OpenCV and Qt is expected.
Description
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.
Who this course is for:
This course is intended for C++ developers who want to dive into the world of OpenCV and Qt to build fast, interactive, cross-platform applications.
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