prepareForDisplay
Generated on 8/6/2024
1 search
The term prepareForDisplay is not explicitly mentioned in the provided context. However, based on the context, it seems related to rendering and displaying content, particularly in visionOS and Metal.
Here are some relevant sessions that might cover similar topics:
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Render Metal with passthrough in visionOS
- This session discusses rendering content in visionOS, including how to mix rendered content with physical surroundings and position it correctly.
- Mix rendered content with surroundings
- Position render content
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Explore object tracking for visionOS
- This session covers how to track objects and display virtual content in visionOS, which might involve preparing content for display.
- Anchor virtual content
If you have a more specific question or need details on a particular aspect of rendering or displaying content, please let me know!
Capture HDR content with ScreenCaptureKit
Learn how to capture high dynamic colors using ScreenCaptureKit, and explore new features like HDR support, microphone capture, and straight-to-file recording.
Render Metal with passthrough in visionOS
Get ready to extend your Metal experiences for visionOS. Learn best practices for integrating your rendered content with people’s physical environments with passthrough. Find out how to position rendered content to match the physical world, reduce latency with trackable anchor prediction, and more.
Use HDR for dynamic image experiences in your app
Discover how to read and write HDR images and process HDR content in your app. Explore the new supported HDR image formats and advanced methods for displaying HDR images. Find out how HDR content can coexist with your user interface — and what to watch out for when adding HDR image support to your app.
Explore object tracking for visionOS
Find out how you can use object tracking to turn real-world objects into virtual anchors in your visionOS app. Learn how you can build spatial experiences with object tracking from start to finish. Find out how to create a reference object using machine learning in Create ML and attach content relative to your target object in Reality Composer Pro, RealityKit or ARKit APIs.