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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 Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789611212
Length 380 pages
Edition 1st Edition
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Authors (2):
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Rimjhim Bhadani Rimjhim Bhadani
Author Profile Icon Rimjhim Bhadani
Rimjhim Bhadani
Anubhav Singh Anubhav Singh
Author Profile Icon Anubhav Singh
Anubhav Singh
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Deep Learning for Mobile 2. Mobile Vision - Face Detection Using On-Device Models FREE CHAPTER 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

Generating Live Captions from a Camera Feed

As humans, we see a million objects around us every day, in different scenarios. For humans, describing a scene is usually a trivial task: something we do without even taking a noticeable amount of time to think. But it is a huge task for machines to comprehend the elements and scenarios presented to it in visual media such as images or videos. However, for several applications of artificial intelligence (AI), it is useful to have the capability of comprehending such images in the computer system. For example, it would be of immense help to visually impaired people if we could devise machines that could translate their surroundings into audio in real time. Also, there has been a constant effort from researchers to generate captions for images and videos in real time, so as to improve the accessibility of content presented on websites...

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