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Computer Vision with OpenCV 3 and Qt5

You're reading from   Computer Vision with OpenCV 3 and Qt5 Build visually appealing, multithreaded, cross-platform computer vision applications

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788472395
Length 486 pages
Edition 1st Edition
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Author (1):
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Amin Ahmadi Tazehkandi Amin Ahmadi Tazehkandi
Author Profile Icon Amin Ahmadi Tazehkandi
Amin Ahmadi Tazehkandi
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Table of Contents (14) Chapters Close

Preface 1. Introduction to OpenCV and Qt 2. Creating Our First Qt and OpenCV Project FREE CHAPTER 3. Creating a Comprehensive Qt+OpenCV Project 4. Mat and QImage 5. The Graphics View Framework 6. Image Processing in OpenCV 7. Features and Descriptors 8. Multithreading 9. Video Analysis 10. Debugging and Testing 11. Linking and Deployment 12. Qt Quick Applications 13. Other Books You May Enjoy

High-level multithreading using QtConcurrent


Apart from what you learned in the section, the Qt also provides a high-level API for creating multithreaded programs without the need to deal with thread synchronization tools, such as mutexes, locks, and so on. The QtConcurrent namespace, or the Qt Concurrent module in Qt framework, provides easy-to-use functions that can be used to create multithreaded applications, or, in other words, concurrency, by processing through lists of data using the optimal number of threads for any platform. This will become crystal clear after we go through the functions in QtConcurrent and classes that are used in conjunction with it. After that, we will also deal with real-life examples to learn about the power of the Qt Concurrent module and how to utilize it.

The following functions in general (and their slightly different variants) can be used to deal with multithreading using the high-level QtConcurrent API:

  • filter: This can be used to filter a list. This...
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