Azure. CognitiveServices. Vision. ComputerVision
This client library provides access to the Microsoft Cognitive Services ComputerVision APIs.
Install-Package Microsoft.Azure.CognitiveServices.Vision.ComputerVision -Version 6.0.0
dotnet add package Microsoft.Azure.CognitiveServices.Vision.ComputerVision --version 6.0.0
<PackageReference Include="Microsoft.Azure.CognitiveServices.Vision.ComputerVision" Version="6.0.0" />
paket add Microsoft.Azure.CognitiveServices.Vision.ComputerVision --version 6.0.0
NuGet packages (11)
Showing the top 5 NuGet packages that depend on Microsoft.Azure.CognitiveServices.Vision.ComputerVision:
A collection of utility classes to help with testing Windows Apps.
Content-aware image cropping tool for EPiServer using Azure Cognitive Services
Content-aware automation for Episerver's EPiFocalPoint plugin using Azure Cognitive Services
Provides components for using Microsoft's Cognitive Services Vision API.
This library can perform the following: - Using AI, "read" the image and provide a sentence description of what it portrays. - Using AI, "read" the image and provide series of tags that describe what it portrays. - Using AI, perform OCR on the image and, if the image has embedded text, extract the text to a string value. REQUIRED You must have a subscription to Azure Cognitive Services for Computer Vision. You will need both a Subscription Key and an endpoint URL to use this library. Support for other AI services are not implemented, but you can see where the extension would occur. INSTALLATION Install this package using NuGet. If used in a plain old .NET application, Configure your app.config file with appropriate AzureServiceConnections. If used in a web application, your web.config file will point to a config file in /App_Config/. You need to copy the example config file provided, remove the ".example" extensions and update the settings with appropriate AzureServiceConnections. Note that version 2.0 supports multiple, named Azure connections so you can have different accounts for different server environments as necessary. In the supplied config example, you will see confidence levels for captions and embedded text. These are set to reasonable defaults, but be aware the AI can be quirky and unreliable. This tool should be used prime the pump on image descriptions but should not be used unsupervised. USE To use Image Tagging, get an instance of IImageTagger through Verndale.CognitiveImageTagging.TagManager.GetImageTagger(nameOfConnection) The ImageTagger has two methods IImageTagger.GetImageDescription() IImageTagger.ExtractTextFromImage() OCR can be performed simultaneously with GetImageDescription via a parameter flag. Keep in mind you're hitting an external service that not only cost money but can take some time to complete its evaluation. If you're sending a large batch of images through this utility, expect it to take some time and run up the bill. Note that OCR tends to be the more expensive operation, both in terms of elapsed time and number of (billed) connections to your AI service.
GitHub repositories (6)
Showing the top 5 popular GitHub repositories that depend on Microsoft.Azure.CognitiveServices.Vision.ComputerVision:
Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.
A library with sample apps for continuous analysis of live video, using the Microsoft Cognitive Services Vision APIs.
Platform for Situated Intelligence
Microsoft Ignite The Tour
Windows SDK for the Microsoft Computer Vision API, part of Cognitive Services