Book Image

Machine Learning with Core ML

Book Image

Machine Learning with Core ML

Overview of this book

Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs
Table of Contents (16 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Recognizing objects in the world


To recap, our goal in this chapter is to create an application that will recognize what it sees. We will start by first capturing video frames, prepare these frames for our model, and finally feed them into a Core ML model to perform inference. Let's get started.

Capturing data 

If you haven't done it already, download the latest code from the accompanying repository: https://github.com/packtpublishing/machine-learning-with-core-ml. Once downloaded, navigate to the directory Chapter3/Start/ObjectRecognition/ and open the project ObjectRecognition.xcodeproj. Once loaded, you will see the skeleton project for this chapter, as shown in the following screenshot:

To help you navigate around the project, here is a list of core files/classes and their main functions: 

  • VideoCapture will be responsible for the management and handling of the camera, including capturing video frames 
  • CaptureVideoPreviewView.swift contains the class CapturePreviewView, which will be used...