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iOS Application Development with OpenCV 3

You're reading from   iOS Application Development with OpenCV 3 Create four mobile apps and explore the world through photography and computer vision

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785289491
Length 228 pages
Edition 1st Edition
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Author (1):
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Joseph Howse Joseph Howse
Author Profile Icon Joseph Howse
Joseph Howse
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Table of Contents (7) Chapters Close

Preface 1. Setting Up Software and Hardware FREE CHAPTER 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 controller


As discussed in the previous chapter, we may declare GUI elements in a view controller's source code and lay them out in a storyboard. Thus, to begin, let's open ViewController.m and define the private interface of our ViewController class. The interface depends on headers from the iOS SDK's Photos and Social frameworks as well as the OpenCV framework. Moreover, it depends on headers that define the public interfaces of our own classes, ViewController and VideoCamera. The latter class will handle many aspects of camera input and video display and we will write it later in the Controlling the camera section. Let's import these dependencies by adding the following code at the start of ViewController.m:

#import <Photos/Photos.h>
#import <Social/Social.h>

#import <opencv2/core.hpp>
#import <opencv2/imgcodecs.hpp>
#import <opencv2/imgcodecs/ios.h>
#import <opencv2/imgproc.hpp>

#import "ViewController.h"
#import ...
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