Suchergebnisse
Suchergebnisse:
AR Foundation image tracking launch an AR Object canvas. Code Review. Good evening, I am trying to interact with an AR object, this is created by image tracking and when touching on the phone screen shows the canvas. I have two scripts, the first one in my XR Origin. public class PlacementAndLaunchingCanvas : MonoBehaviour.
Vor 2 Tagen · I have successfully built and deployed many of the examples scenes from visionOSTemplate-1.2.3.zip. I am especially interested in the MixedReality sample, which works great. In an effort to understand the project setup, I then tried to create a project that just implements hand tracking as shown in the MixedReality example. So I followed the “Create a Project from Scratch/Mixed Reality ...
Vor 5 Tagen · I’ve been trying to upgrade an existing project to ARDK3, but Image Tracking isn’t working whenever I have Lightship enabled. It’s not an issue with my code or image markers; I’ve been testing with a fresh scene with just Unity base components, the Unity sample image library, and a simple debug log script.
Vor 5 Tagen · Thank you for helping us improve the quality of Unity Documentation. Although we cannot accept all submissions, we do read each suggested change from our users and will make updates where applicable. Although we cannot accept all submissions, we do read each suggested change from our users and will make updates where applicable.
Vor 5 Tagen · Description. XRInputSubsystem tracks all InputDevice s in reference to the first known location of a specific InputDevice when set to TrackingOriginModeFlags.Device. For mobile AR applications, the InputDevice is the mobile device the application is running on. For head-mounted device applications, the head-mounted device acts as the root.
Vor 5 Tagen · Create a UnityWebRequest intended to download an image via HTTP GET and create a Texture based on the retrieved data.
Vor einem Tag · Unity Editor. Unity 2020.3 or later Demos & Samples. The package includes the following demos: Webcam: Shows how to track finger landmarks on a webcam feed (phone cameras, laptop cameras, etc) and display the results on a Canvas or in the 3D world space. Video: Demonstrates how to track finger landmarks on a video file (MP4, MOV, AVI, etc).
