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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 controllers


BeanCounter uses two view controllers. The first enables the user to capture and preview images of blobs. The second enables the user to review a blob's classification result and save and share the image of the blob. A segue enables the first view controller to instantiate the second and pass a blob and label to it. This is similar to how we divided the application logic in the project, ManyMasks, in Chapter 4, Detecting and Merging Faces of Mammals, so we are able to reuse some code.

Capturing and previewing blobs

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.

Also import copies of the CaptureViewController.h and CaptureViewController.m files that we created in Chapter 4, Detecting and Merging Faces of Mammals. These files contain our CaptureViewController...

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