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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

Running image recognition

Now, the image chosen from the gallery can be used as an input for the two prediction methods of the Cloud Vision API and TensorFlow Lite model. Next, let's define methods for running both of them.

Using the Cloud Vision API

In this section, we simply define a visionAPICall method that is used to make an http Post request to the CloudVision API, passing in the request string encoded as json, which returns a json response that is parsed to get the values from the desired labels:

  1. First of all, we define an http plugin dependency in the pubspec.yaml file, as follows:
http: ^0.12.0+2
  1. Import the plugin in PlantSpeciesRecognition.dart to assist in making http requests, like...
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