The test UI contains an image and two buttons: one for selecting a file using a FileOpenPicker and another for capturing a new image using the CameraCaptureUI. The Computer Vision APIs can be accessed via the package available on NuGet so I added a reference to both projects: I created a new Universal Windows app and library ( CognitiveServicesVisionLibrary) to provide, respectively, a test UI and some reusable code that could be referenced later by the HoloLens experience. There are already some samples available for Cognitive Services APIs, so I decided to reuse some code available and described in this article here supplemented by some camera capture UI in UWP. Writing the UWP test app and the shared library
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I noted down the Keys and Endpoint and started investigating how to approach the code for capturing images on HoloLens and sending them to the intelligent cloud for processing.īefore creating the Unity experience, I decided to start with a simple UWP app for analysing images. The first step was to navigate to the Azure portal and create a new Computer Vision API resource: In this article, we’ll explore the steps I followed for creating a Unity application running on HoloLens and communicating with the Microsoft AI platform.
In these days, I’m exploring the combination of HoloLens/Windows Mixed Reality and the capabilities offered by Cognitive Services to analyse and extract information from images captured via the device camera and processed using the Computer Vision APIs and the intelligent cloud. b) 3D LiDAR soldagem manual com Realidade Virtual utilizando Unit圓D. Cognitive Services HoloLens Unity Universal Windows Platform Windows Mixed Reality Step 1 - Set up the main scene Unit圓D will start with an emptyUnity.
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