Book Image

Swift Cookbook. - Second Edition

By : Keith Moon, Chris Barker
Book Image

Swift Cookbook. - Second Edition

By: Keith Moon, Chris Barker

Overview of this book

Swift is an exciting, multi-platform, general-purpose programming language, and with this book, you'll explore the features of its latest version, Swift 5.3. The book begins with an introduction to the basic building blocks of Swift 5.3, its syntax, and the functionalities of Swift constructs. You’ll then discover how Swift Playgrounds provide an ideal platform to write, execute, and debug your Swift code. As you advance through the chapters, the book will show you how to bundle variables into tuples or sets, order your data with an array, store key-value pairs with dictionaries, and use property observers. You’ll also get to grips with the decision-making and control structures in Swift, examine advanced features such as generics and operators, and explore functionalities outside of the standard library. Once you’ve learned how to build iOS applications using UIKit, you'll find out how to use Swift for server-side programming, run Swift on Linux, and investigate Vapor. Finally, you'll discover some of the newest features of Swift 5.3 using SwiftUI and Combine to build adaptive and reactive applications, and find out how to use Swift to build and integrate machine learning models along with Apple’s Vision Framework. By the end of this Swift book, you'll have discovered solutions to boost your productivity while developing code using Swift 5.3.
Table of Contents (14 chapters)
12
About Packt

Using CoreML and the Vision Framework to detect objects in real time

We've seen what CoreML can do in terms of object detection, but taking everything we've done so far into account, we can certainly go a step further. Apple's Vision Framework offers a unique set of detection tools from landmark detection and face detection in images to tracking recognition.

With the latter, tracking recognition, the Vision Framework allows us to take models built with CoreML and use them in conjunction with CoreML's object detection to identify and track the object in question.

In this section, we'll take everything we've learned so far, from how AVFoundation works to implementing CoreML, and build a real-time object detection app using a device camera.

Getting ready

For this section, you'll need the latest version of Xcode available from the Mac App Store.

Next, head on over to the Apple Developer portal at the following address: https://developer.apple.com/machine...