This is the code repository for Cross-Platform Application Development with OpenCV 4 and Qt 5 [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
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.
- 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.
To fully benefit from the coverage included in this course, you will need:
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. Basic knowledge of C++ programming is assumed. No previous experience with OpenCV and Qt is expected.
This course has the following software requirements:
Basic knowledge of C++ programming is required