Book Image

iOS Application Development with OpenCV 3

By : Joseph Howse
4 (1)
Book Image

iOS Application Development with OpenCV 3

4 (1)
By: Joseph Howse

Overview of this book

iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the highly optimized OpenCV library, you will process high-resolution images in real time. You will locate and classify objects, and create models of their geometry. As you develop photo and augmented reality apps, you will gain a general understanding of iOS frameworks and developer tools, plus a deeper understanding of the camera and image APIs. After completing the book's four projects, you will be a well-rounded iOS developer with valuable experience in OpenCV.
Table of Contents (13 chapters)
iOS Application Development with OpenCV 3
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
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 ...