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Flutter Cookbook, Second Edition

You're reading from   Flutter Cookbook, Second Edition 100+ step-by-step recipes for building cross-platform, professional-grade apps with Flutter 3.10.x and Dart 3.x

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781803245430
Length 712 pages
Edition 2nd Edition
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Author (1):
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Simone Alessandria Simone Alessandria
Author Profile Icon Simone Alessandria
Simone Alessandria
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Table of Contents (19) Chapters Close

Preface 1. Getting Started with Flutter 2. Creating Your First Flutter App FREE CHAPTER 3. Dart: A Language You Already Know 4. Introduction to Widgets 5. Mastering Layout and Taming the Widget Tree 6. Adding Interactivity and Navigation to Your App 7. Basic State Management 8. The Future is Now: Introduction to Asynchronous Programming 9. Data Persistence and Communicating with the Internet 10. Advanced State Management with Streams 11. Using Flutter Packages 12. Adding Animations to Your App 13. Using Firebase 14. Firebase Machine Learning 15. Flutter Web and Desktop 16. Distributing Your Mobile App 17. Other Books You May Enjoy
18. Index

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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