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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

Configuring the project


Create an Xcode project named LightWork using the Single View Application template. Configure the project according to the instructions in the Configuring the project section in Chapter 1, Setting Up Software and Hardware. Next, we will take a few additional configuration steps because LightWork depends on more frameworks and requires a camera.

Adding frameworks

Besides its dependency on opencv2.framework, LightWork also depends on the following standard frameworks from the iOS SDK:

  • Accelerate.framework: This is optional but recommended because it enables OpenCV to use advanced optimizations

  • AssetsLibrary.framework

  • AVFoundation.framework

  • CoreGraphics.framework

  • CoreMedia.framework

  • CoreVideo.framework

  • Photos.framework

  • QuartzCore.framework

  • Social.framework

  • UIKit.framework

Add these frameworks to the Build Phases | Link Binary With Libraries section of the project settings.

Specifying the camera requirement

Currently, there is a camera in all devices that support...

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