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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 ManyMasks. Use the Single View Application template. Configure the project according to the instructions in Chapter 1, Setting Up Software and Hardware and Chapter 2, Capturing, Storing, and Sharing Photos. (See the Configuring the project section of each chapter.) The ManyMasks project depends on the same frameworks and device capabilities as the LightWork project.

Our face detector will depend on several pretrained cascade files that come with OpenCV's source code. If you do not already have the source code, get it as described in Chapter 1, Setting Up Software and Hardware, in the Building an additional framework from source with extra modules section. Add copies of the following cascade files to the Supporting Files folder of the ManyMasks project:

  • <opencv_source_path>/data/haarcascades/haarcascade_frontalface_alt.xml. Alternatively, you may want to try <opencv_source_path>/data/lbpcascades/lbpcascade_frontalface.xml for...

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