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Learning Microsoft Cognitive Services
Learning Microsoft Cognitive Services

Learning Microsoft Cognitive Services: Create intelligent apps with vision, speech, language, and knowledge capabilities using Microsoft Cognitive Services

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Profile Icon Leif Larsen Henning Larsen
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Paperback Mar 2017 372 pages 1st Edition
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Arrow left icon
Profile Icon Leif Larsen Henning Larsen
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Paperback Mar 2017 372 pages 1st Edition
eBook
$27.98 $39.99
Paperback
$48.99
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Free Trial
Renews at $19.99p/m
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$27.98 $39.99
Paperback
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Renews at $19.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

Learning Microsoft Cognitive Services

Chapter 2. Analyzing Images to Recognize a Face

"We can use the Computer Vision API to prove to our clients the reliability of the data, so they can be confident making important business decisions based on that information."                                                                                      - Leendert de Voogd, CEO Vigiglobe

In the previous chapter, you were briefly introduced to Microsoft Cognitive Services. Throughout this chapter, we will dive into image-based APIs from the Vision API. We will learn how to do image analysis. Moving on, we will dive deeper into the Face API, which we briefly looked at in the first chapter. We will end the chapter by looking at how you can identify people.

In this chapter, we will cover the following topics...

Learning what an image is about using Computer Vision API

The Computer Vision API allows us to process an image and retrieve information about it. It relies on advanced algorithms to analyze the content of the image in different ways, based on our needs.

Throughout this part of the chapter, we will learn how to take advantage of this API. We will look at the different ways to analyze an image through standalone examples. Some of the features we will cover will also be incorporated into our end-to-end application in a later chapter.

Calling any of the APIs, will return one of the following response codes:

Code

Description

200

Information of the extracted features in JSON format

400

Typically, this means bad request. It may be an invalid image URL, too small or too large image, invalid image format, or otherwise errors around the request body.

415

Unsupported media type

500

Possible errors may be a failure to process the image, image processing timed out, or there is an internal...

Diving deep into the Face API

The Face API has two main features. The first one is face detection, and the other is face recognition.

Face detection allows one to detect up to 64 faces in one image. We have already seen the basic usage. The features of face recognition are implied in its name. Using it, we can detect if two faces belong to the same person. We can find similar faces, or one in particular, and we can group similar faces. We will learn how to do all of this in the following pages.

When calling any of the APIs it will respond with one of the following responses:

Code

Description

200

Successful call. Returns an array containing data related to the API call.

400

Request body is invalid. Can be a number of errors, depending on the API call. Typically, the request code is invalid.

401

Access denied due to invalid subscription key. The key may be wrong, or the account/subscription plan is blocked.

403

Out of call volume data. You have made all the available calls to the...

Adding identification to our Smart-House application

As a part of our Smart-House application, we want the application to recognize who we are. Doing so opens up the opportunity to get responses and actions from the application, tailored to you.

Creating our Smart-House application

Create a new project for the Smart-House application, based on the MVVM template we created earlier.

With the new project created, add the Microsoft.ProjectOxford.Face NuGet package.

As we will be building this application throughout the book, we will start small. In the MainView.xaml file add a TabControl property containing two items. The two items should be two user controls, one called the AdministrationView.xaml file, and one called the HomeView.xaml file.

The administration control will be where we administer different parts of the application. The home control will be the starting point, and the main control to use.

Add corresponding ViewModels to the Views. Make sure they are declared and created in MainViewModel...

Summary

In this chapter, we have taken a deep dive into a big part of the Vision APIs. We learned how to get good descriptions of images. Next we learned how to recognize celebrities and text in images. We saw how we can generate thumbnails. Following this, we moved on to the Face API, where we got more information about detected faces. We found out how to verify if two faces were the same. After this we learned how to find similar faces and group similar faces. Finally, we added identification to our Smart-House application, allowing it to know who we are.

The following chapter will continue with the final two Vision APIs. We will learn how to detect emotion in images and videos. Moving on from there, we will focus more on videos, discovering what the Video API has to offer.

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Key benefits

  • • Explore the capabilities of all 21 APIs released as part of the Cognitive Services platform
  • • Build intelligent apps that combine the power of computer vision, speech recognition, and language processing
  • • Give your apps human-like cognitive intelligence with this hands-on guide

Description

Take your app development to the next level with Learning Microsoft Cognitive Services. Using Leif's knowledge of each of the powerful APIs, you'll learn how to create smarter apps with more human-like capabilities. ? Discover what each API has to offer and learn how to add it to your app ? Study each AI using theory and practical examples ? Learn current API best practices

Who is this book for?

Who is this book for? ? .NET developers with some programming experience ? Those who know how to do basic programming tasks and navigate in Visual Studio ? No prior knowledge of artificial intelligence or machine learning required

What you will learn

  • After an introduction to Microsoft Cognitive Services and what it has to offer, you?ll learn about each of the APIs in depth. This includes using vision APIs for image analysis, speech APIs for text-to-speech conversions, knowledge and search APIs for adding real-world intelligence to apps, and much, much more.

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 20, 2017
Length: 372 pages
Edition : 1st
Language : English
ISBN-13 : 9781786467843
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Microsoft
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Publication date : Mar 20, 2017
Length: 372 pages
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Language : English
ISBN-13 : 9781786467843
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Microsoft
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Table of Contents

10 Chapters
1. Getting Started with Microsoft Cognitive Services Chevron down icon Chevron up icon
2. Analyzing Images to Recognize a Face Chevron down icon Chevron up icon
3. Analyzing Videos Chevron down icon Chevron up icon
4. Letting Applications Understand Commands Chevron down icon Chevron up icon
5. Speak with Your Application Chevron down icon Chevron up icon
6. Understanding Text Chevron down icon Chevron up icon
7. Extending Knowledge Based on Context Chevron down icon Chevron up icon
8. Querying Structured Data in a Natural Way Chevron down icon Chevron up icon
9. Adding Specialized Searches Chevron down icon Chevron up icon
10. Connecting the Pieces Chevron down icon Chevron up icon
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