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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

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781789538670
Length 96 pages
Edition 1st Edition
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Author (1):
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Will Ballard Will Ballard
Author Profile Icon Will Ballard
Will Ballard
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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...
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