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Flutter Cookbook

Flutter Cookbook

By : Simone Alessandria, Brian Kayfitz
4.2 (16)
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Flutter Cookbook

Flutter Cookbook

4.2 (16)
By: Simone Alessandria, Brian Kayfitz

Overview of this book

“Anyone interested in developing Flutter applications for Android or iOS should have a copy of this book on their desk.” – Amazon 5* Review Lauded as the ‘Flutter bible’ for new and experienced mobile app developers, this recipe-based guide will teach you the best practices for robust app development, as well as how to solve cross-platform development issues. From setting up and customizing your development environment to error handling and debugging, The Flutter Cookbook covers the how-tos as well as the principles behind them. As you progress, the recipes in this book will get you up to speed with the main tasks involved in app development, such as user interface and user experience (UI/UX) design, API design, and creating animations. Later chapters will focus on routing, retrieving data from web services, and persisting data locally. A dedicated section also covers Firebase and its machine learning capabilities. The last chapter is specifically designed to help you create apps for the web and desktop (Windows, Mac, and Linux). Throughout the book, you’ll also find recipes that cover the most important features needed to build a cross-platform application, along with insights into running a single codebase on different platforms. By the end of this Flutter book, you’ll be writing and delivering fully functional apps with confidence.
Table of Contents (17 chapters)
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16
About Packt

Building a face detector and detecting facial gestures

This recipe will explore ML Kit’s face detection. This also includes a model that predicts the probability of a face smiling or having open or closed eyes. This API also includes the identification of key facial features (such as eyes, nose, and mouth) and can get the contours of detected faces.

Getting ready

Before following this recipe, you should have completed the Using the device camera and Recognizing Text from an image recipes in this chapter.

How to do it...

In this recipe, you will add the face detection feature to the existing project: the model will predict whether the faces in the picture are smiling and have their eyes open. Follow these steps:

  1. Add the google_mlkit_face_detection package to your project from the Terminal:
    flutter pub add google_mlkit_face_detection
    
  2. In the ml.dart file, import the face detection library:
    import 'package:google_mlkit_face_detection...
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Flutter Cookbook
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