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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

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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