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You're reading from iOS Application Development with OpenCV 3 Create four mobile apps and explore the world through photography and computer vision

Product type Paperback

Published in Jun 2016

Publisher Packt

ISBN-13 9781785289491

Length 228 pages

Edition 1st Edition

Languages

Objective-C

Tools

OpenCV

Concepts

iOS Development

Author (1):

Joseph Howse

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Table of Contents (7) Chapters

Preface

What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support

1. Setting Up Software and Hardware FREE CHAPTER

Setting up Apple's developer tools
Setting up the OpenCV framework
Developing a minimal application
Distributing to testers and customers
Finding documentation and support
Understanding the camera and setting up photographic accessories
Summary

2. Capturing, Storing, and Sharing Photos

Planning a photo sharing application
Configuring the project
Defining and laying out the view controller
Controlling the camera
Working with various color formats
Starting and stopping the busy mode
Saving an image to the Photos library
Displaying an alert
Sharing an image via social media
Running the application
Summary

3. Blending Images

Thinking about hybrid images
Planning the blending controls
Expanding the view controller's interface
Expanding the view controller's implementation
Using the application for practical purposes
Summary

4. Detecting and Merging Faces of Mammals

Understanding detection with cascade classifiers
Understanding transformations
Planning a face merging application
Configuring the project
Defining faces and a face detector
Defining and laying out the view controllers
Detecting a hierarchy of face elements
Aligning and blending face elements
Using the application and acting like a cat
Learning more about face analysis
Summary

5. Classifying Coins and Commodities

Understanding blob detection
Understanding histogram analysis
Understanding keypoint matching
Planning an object classification application
Configuring the project
Defining blobs and a blob detector
Defining blob descriptors and a blob classifier
Laying out the splash screen
Defining and laying out the view controllers
Detecting blobs against a plain background
Classifying blobs by color and keypoints
Using the application and testing the tough cases
Taking your study of OpenCV to the next level
Summary

Index

Laying out the splash screen

LaunchScreen.storyboard defines the splash screen's layout, including the background image and the Training classifier… label. Refer to the following screenshot as a layout guide (or just download the completed storyboard from the book's GitHub repository):

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You're reading from iOS Application Development with OpenCV 3 Create four mobile apps and explore the world through photography and computer vision

Table of Contents (7) Chapters

Laying out the splash screen

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Authors (1)