Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Deep Learning for Images with TensorFlow

You're reading from   Hands-On Deep Learning for Images with TensorFlow Build intelligent computer vision applications using TensorFlow and Keras

Arrow left icon
Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781789538670
Length 96 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Will Ballard Will Ballard
Author Profile Icon Will Ballard
Will Ballard
Arrow right icon
View More author details
Toc

REST API definition

Let's begin by defining the REST API. This is comprised of four activities: getting the project source code from GitHub with git; installing the necessary packages and reviewing the packages that will be needed in order to run our server; editing and creating the OpenAPI or Swagger definition file in YAML; and then finally handling a POST-ed image in that code that the REST API takes to turn an actual image file into a tensor.

First, we need to clone the repository that we've provided in order to have a REST service. I'm getting this over HTTPS and cloning it with the command line:

$ git clone https://github.com/wballard/kerasvideo-server/tree/2018.git

You can put it in any directory you like. Afterwards, we'll be able to use this source code for the rest of this section, and in the remaining chapters of this book:

Files in Kerasvideo...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime