Book Image

Xamarin.Forms Projects - Second Edition

By : Daniel Hindrikes, Johan Karlsson
Book Image

Xamarin.Forms Projects - Second Edition

By: Daniel Hindrikes, Johan Karlsson

Overview of this book

Xamarin.Forms is a lightweight cross-platform development toolkit for building apps with a rich user interface. Improved and updated to cover the latest features of Xamarin.Forms, this second edition covers CollectionView and Shell, along with interesting concepts such as augmented reality (AR) and machine learning. Starting with an introduction to Xamarin and how it works, this book shares tips for choosing the type of development environment you should strive for when planning cross-platform mobile apps. You’ll build your first Xamarin.Forms app and learn how to use Shell to implement the app architecture. The book gradually increases the level of complexity of the projects, guiding you through creating apps ranging from a location tracker and weather map to an AR game and face recognition. As you advance, the book will take you through modern mobile development frameworks such as SQLite, .NET Core Mono, ARKit, and ARCore. You’ll be able to customize your apps for both Android and iOS platforms to achieve native-like performance and speed. The book is filled with engaging examples, so you can grasp essential concepts by writing code instead of reading through endless theory. By the end of this book, you’ll be ready to develop your own native apps with Xamarin.Forms and its associated technologies, such as .NET Core, Visual Studio 2019, and C#.
Table of Contents (13 chapters)

Using the Computer Vision API to scan photos for adult content

To minimize the risk of offensive photos being shown in our chat app, we will use machine learning to try to find problematic material and prevent it from being posted to the chat. For that, we will use the Computer Vision API in Azure, which is part of Azure Cognitive Services. To use the API, we need a key. We will add it to the application settings of the function app. Proceed as follows:

  1. Go to Azure Portal.
  2. Go to the resource we created for the Computer Vision API.
  3. The key can be found under the Keys and Endpoint tab. You can use either KEY 1 or KEY 2, as illustrated in the following screenshot:
  1. Go to the resource for Function App.
  2. Add the Key as an application setting named ComputerVisionKey. Also, add the key to local.settings.json.
  3. Also, add the ENDPOINT as an application setting. Use the name ComputerVisionEndpoint. The ENDPOINT can be found under the Overview tab of the Function App resource. Also, add the ENDPOINT...