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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

Qt and OpenCV apps on Android and iOS


Ideally, you can build run the applications created by using Qt and OpenCV frameworks on desktop and mobile platforms alike, without the need to write any platform-specific codes. However, in practice, this is not as easy as it seems, since frameworks like Qt and OpenCV act as wrappers over the capabilities of the operating system itself (in some cases), and since are still undergoing extensive development, there might be some cases that are not yet fully implemented in a particular operating system, such as Android or iOS. The good news is that those cases are getting rarer as new of the Qt and OpenCV frameworks are released, and even now (Qt 5.9 and OpenCV 3.3), most of the classes and functions in both of these frameworks can be easily used in Windows, Linux, macOS, Android, and iOS operating systems.

So, first of all by keeping what we just mentioned in mind, we can say that practically (as opposed to ideally), to be able to build and run applications...

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