It is impossible to say that this was all there was to talk about multithreading and parallel programming, but it is fair to say that we covered some of the most important topics that can get up on your feet to write multithreaded and highly-efficient computer vision applications (or any other application). You learned how to subclass QThread to create new thread classes that perform a specific task or use the moveToThread function to move an object responsible for a complex and time-taking computation into another thread. You also learned about some of the most important low-level multithreading primitives, such as mutexes, semaphores, and so on. By now, you should be fully aware of the issues that may arise because of implementing and using multiple threads in our applications, and also the solution to those issues. If you think you still need to practice this to make sure you are familiar with all the presented concepts, then you've definitely paid good attention to all the subjects...
Computer Vision with OpenCV 3 and Qt5
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Computer Vision with OpenCV 3 and Qt5
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Overview of this book
Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment.
This book will teach you to develop applications with the combination of OpenCV 3 and Qt5, and how to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book.
Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications.
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Current Title:
Computer Vision with OpenCV 3 and Qt5
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface
Free Chapter
Introduction to OpenCV and Qt
Creating Our First Qt and OpenCV Project
Creating a Comprehensive Qt+OpenCV Project
Mat and QImage
The Graphics View Framework
Image Processing in OpenCV
Features and Descriptors
Multithreading
Video Analysis
Debugging and Testing
Linking and Deployment
Qt Quick Applications
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Customer Reviews