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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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Toc

Table of Contents (19) Chapters Close

Title Page
Dedication
Packt Upsell
Foreword
Contributors
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 1. Other Books You May Enjoy

Chapter 11. Linking and Deployment

After learning about debugging and testing applications using Qt Creator and the Qt Test framework in the previous chapters, we are down to one of the last phases in application development, which is the deployment of applications to the end users. This process itself has many variations and can take quite a lot of different forms depending on the target platform, but one thing they all have in common is the packaging of an application in a way that it can be simply executed in the target platform and without bothering with the dependencies of the application. Remember, not all target platforms (whether it is Windows, macOS, or Linux) have Qt and OpenCV libraries on them. So, if you go on and just provide the users of your application with only the executable of your application, it will most probably not even start executing, much less working correctly.

In this chapter, we are going to tackle exactly that, by learning about the correct way of creating...

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