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iOS Application Development with OpenCV 3

You're reading from  iOS Application Development with OpenCV 3

Product type Book
Published in Jun 2016
Publisher Packt
ISBN-13 9781785289491
Pages 228 pages
Edition 1st Edition
Languages
Author (1):
Joseph Howse Joseph Howse
Profile icon Joseph Howse

Table of Contents (13) Chapters

iOS Application Development with OpenCV 3
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Setting Up Software and Hardware 2. Capturing, Storing, and Sharing Photos 3. Blending Images 4. Detecting and Merging Faces of Mammals 5. Classifying Coins and Commodities Index

Defining and laying out the view controllers


ManyMasks divides its application logic between two view controllers. The first view controller enables the user to capture and preview real faces. The second enables the user to review, save, and share merged faces. A type of callback method called a segue enables the first view controller to instantiate the second and pass a merged face to it.

Capturing and previewing real faces

Import copies of the VideoCamera.h and VideoCamera.m files that we created in Chapter 2, Capturing, Storing, and Sharing Photos. These files contain our VideoCamera class, which extends OpenCV's CvVideoCamera to fix bugs and add new functionality.

Rename ViewController.h and ViewController.m to CaptureViewController.h and CaptureViewController.m. Edit CaptureViewController.h so that it declares a CaptureViewController class, as seen in the following code:

#import <UIKit/UIKit.h>

@interface CaptureViewController : UIViewController

@end

CaptureViewController will have...

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