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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 (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

Deploying Qt+OpenCV applications


It is extremely important to provide the users with an application package that contains everything it needs to be able to run on the target platform and demand very little or no effort at all from the users in terms of taking care of the required dependencies. Achieving this kind of works-out-of-the-box condition for an application relies mostly on the type of the linking (dynamic or static) that is used to create an application, and also the specifications of the target operating system.

Deploying using static linking

Deploying an application statically that your application will run on its own and it eliminates having to take care of almost all of the needed dependencies, since they are already inside the executable itself. It is enough to simply make sure you select the Release mode while building your application, as seen in the following screenshot:

When your application is built in the Release mode, you can simply pick up the produced executable file...

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