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Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 14. Other Books You May Enjoy
15. Index

Analyzing images with Google Cloud Vision AI

We will acquire basic access to Google Cloud Vision AI to detect what broad categories can be inferred from pictures automatically. These categories are called labels by the API. These labels identify objects (such as a box), locations (such as a landscape), animal species (such as a cat), and other things. We will use images already presented in Chapter 4, Searching and Reading Local Files.

In this recipe, we will set up a Google Cloud account to use its APIs. This process will work as the basis for other recipes in this chapter.

Getting ready

We first need to set up our account with Google, so go to the Google Cloud site at https://cloud.google.com/vision:

Figure 11.1: Main Vision AI page

From there, you can go to Get started for free and set up your account:

Figure 11.2: Registration page

You'll need to set up your credit card information as part of the setup. You should get some free credit...

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