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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 BeanCounter. As usual, choose the Single View Application template. Follow the configuration 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.) BeanCounter depends on the same frameworks and device capabilities as LightWork.

Our blob classifier will depend on a configuration file and set of training images that we provide. As a starting point, you may want to use the training set of beans and Canadian coins, as provided in the book's GitHub repository. Alternatively, under the Supporting Files folder, add your own training images and create a new file called BlobClassifierTraining.plist. Edit the PLIST file to define labels and training images according to the format in the following screenshot:

For example, Item 0 in blobs is a training image with the filename CanadianNickel_Heads_000.png and the label 2. We can look...

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