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Mastering OpenCV 4

You're reading from   Mastering OpenCV 4 A comprehensive guide to building computer vision and image processing applications with C++

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789533576
Length 280 pages
Edition 3rd Edition
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Authors (2):
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Roy Shilkrot Roy Shilkrot
Author Profile Icon Roy Shilkrot
Roy Shilkrot
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Toc

Table of Contents (12) Chapters Close

Preface 1. Cartoonifier and Skin Color Analysis on the RaspberryPi 2. Explore Structure from Motion with the SfM Module FREE CHAPTER 3. Face Landmark and Pose with the Face Module 4. Number Plate Recognition with Deep Convolutional Networks 5. Face Detection and Recognition with the DNN Module 6. Introduction to Web Computer Vision with OpenCV.js 7. Android Camera Calibration and AR Using the ArUco Module 8. iOS Panoramas with the Stitching Module 9. Finding the Best OpenCV Algorithm for the Job 10. Avoiding Common Pitfalls in OpenCV 11. Other Books You May Enjoy

OpenCV stitching in an Objective-C++ wrapper

For working in iOS, OpenCV provides its usual C++ interface that can be invoked from Objective-C++. In recent years, however, Apple has encouraged iOS application developers to use the more versatile Swift language for building applications and forgo Objective-C. Luckily, a bridge between Swift and Objective-C (and Objective-C++) can be easily created, allowing us to invoke Objective-C functions from Swift. Xcode automates much of the process, and creates the necessary glue code.

To start, we create a new file (Command-N) in Xcode and select Cocoa Touch Class, as shown in the following screenshot:

Choose a meaningful name for the file (for example, StitchingWrapper) and make sure to select Objective-C as the language, as shown in the following screenshot:

Next, as shown in the following screenshot, confirm that Xcode should create...

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