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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

You're reading from  Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781789611212
Pages 380 pages
Edition 1st Edition
Languages
Authors (2):
Anubhav Singh Anubhav Singh
Profile icon Anubhav Singh
Rimjhim Bhadani Rimjhim Bhadani
Profile icon Rimjhim Bhadani
View More author details
Toc

Table of Contents (13) Chapters close

Preface 1. Introduction to Deep Learning for Mobile 2. Mobile Vision - Face Detection Using On-Device Models 3. Chatbot Using Actions on Google 4. Recognizing Plant Species 5. Generating Live Captions from a Camera Feed 6. Building an Artificial Intelligence Authentication System 7. Speech/Multimedia Processing - Generating Music Using AI 8. Reinforced Neural Network-Based Chess Engine 9. Building an Image Super-Resolution Application 10. Road Ahead 11. Other Books You May Enjoy Appendix

Creating a camera application

We will now start to build the mobile application to generate captions for objects at which the camera is pointed. It will consist of a camera preview to capture images and a text view to display the captions returned by the model. 

The application can be broadly divided into two parts, as follows:

  1. Building the camera preview
  2. Integrating the model to fetch the captions

In the following section, we will talk about building a basic camera preview.

Building the camera preview

We will now build the camera preview for the application. We start by creating a new file, generate_live_caption.dartwith a GenerateLiveCaption stateful widget.

Let us look at the following steps to create...

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