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Learning Microsoft Cognitive Services
Learning Microsoft Cognitive Services

Learning Microsoft Cognitive Services: Leverage Machine Learning APIs to build smart applications , Second Edition

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Profile Icon Leif Larsen Henning Larsen
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Profile Icon Leif Larsen Henning Larsen
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Paperback Oct 2017 368 pages 2nd Edition
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Learning Microsoft Cognitive Services

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 previous chapter. We will end this chapter by looking at how you can identify people.

In this chapter, we will cover the following topics:

  • Analyzing images to identify content, metadata, and adult rating
  • Recognizing celebrities in images and reading text in images
  • Diving into the Face API:
    1. Learning to find the likelihood of two faces...

Learning what an image is about using the 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 section, 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 an image, an invalid image format, or otherwise errors around the request body

415

Unsupported...

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...

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 this 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 the other called...

Automatically moderating user content

Using the Content Moderator API, we can add monitoring to user-generated content. The API is created to assist with flags and to assess and filter offensive and unwanted content.

The content to moderate

Image moderation

The Image Moderation API allows you to moderate images for adult and racy content...

Summary

In this chapter, we took a deep dive into a big part of the Vision APIs. You learned how to get good descriptions of images. Next you 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, you learned how to find similar faces and group similar faces. Then we added identification to our smart-house application, allowing it to know who we are. Finally, we took a quick look into the Content Moderator to see how you can add automatic moderation to user-generated content.

The next chapter will continue with the final two Vision APIs. You 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...

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Key benefits

  • Explore the capabilities of 24 of the 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

Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search. You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs. By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.

Who is this book for?

.NET developers who want to add AI capabilities to their applications will find this book useful. No knowledge of machine learning or AI is necessary to work through this book.

What you will learn

  • Identify a person through visual inspection and audio
  • Reduce user effort by utilizing AI-like capabilities
  • Understand how to analyze images and text in different ways
  • Find out how to analyze images using Vision APIs
  • Add video analysis to applications using Vision APIs
  • Utilize Search to find anything you want
  • Analyze text to extract information and explore text structure

Product Details

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Publication date : Oct 23, 2017
Length: 368 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788623025
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Microsoft
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Product Details

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Length: 368 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788623025
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Microsoft
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Tools :

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Table of Contents

12 Chapters
Getting Started with Microsoft Cognitive Services Chevron down icon Chevron up icon
Analyzing Images to Recognize a Face Chevron down icon Chevron up icon
Analyzing Videos Chevron down icon Chevron up icon
Letting Applications Understand Commands Chevron down icon Chevron up icon
Speaking with Your Application Chevron down icon Chevron up icon
Understanding Text Chevron down icon Chevron up icon
Extending Knowledge Based on Context Chevron down icon Chevron up icon
Querying Structured Data in a Natural Way Chevron down icon Chevron up icon
Adding Specialized Searches Chevron down icon Chevron up icon
Connecting the Pieces Chevron down icon Chevron up icon
LUIS Entities and Additional Information on Linguistic Analysis Chevron down icon Chevron up icon
License Information Chevron down icon Chevron up icon

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Lot of coding bugs... it should have taken simple Windows C# forms application instead of WPF approach for demonstration. It doesn't solve the purpose. Very difficult yo follow if you are not good WPF coding geek
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