My project is use OC, is a iOS App, and now I need make it to visionOS (not unmodified designed for iPhone). So a question one, how can I differentiate visionOS by code, need use macro definitions, otherwise, it cannot be compiled. The question two, have some other tips？or other question need I know? Thanks.

I want to make icloud backup using SwiftData in VisionOS and I need to use SwiftData first but I get the following error even though I do the following steps I followed the steps below I created a Model import Foundation import SwiftData @Model class NoteModel { @Attribute(.unique) var id: UUID var date:Date var title:String var text:String init(id: UUID = UUID(), date: Date, title: String, text: String) { self.id = id self.date = date self.title = title self.text = text } } I added modelContainer WindowGroup(content: { NoteView() }) .modelContainer(for: [NoteModel.self]) And I'm making inserts to test import SwiftUI import SwiftData struct NoteView: View { @Environment(\.modelContext) private var context var body: some View { Button(action: { // new Note let note = NoteModel(date: Date(), title: "New Note", text: "") context.insert(note) }, label: { Image(systemName: "note.text.badge.plus") .font(.system(size: 24)) .frame(width: 30, height: 30) .padding(12) .background( RoundedRectangle(cornerRadius: 50) .foregroundStyle(.black.opacity(0.2)) ) }) .buttonStyle(.plain) .hoverEffectDisabled(true) } } #Preview { NoteView().modelContainer(for: [NoteModel.self]) }

Currently, I try to test the ImageTrackingProvider with the Apple Vision Pro. I started with some basic code: import RealityKit import ARKit @MainActor class ARKitViewModel: ObservableObject{ private let session = ARKitSession() private let imageTracking = ImageTrackingProvider(referenceImages: ReferenceImage.loadReferenceImages(inGroupNamed: "AR")) func runSession() async { do{ try await session.run([imageTracking]) } catch{ print(error) } } func processUpdates() async { for await _ in imageTracking.anchorUpdates{ print("test") } } } I only have one picture in the AR folder. I added the size an I have no error messages in the AR folder. As I am trying to run the application with the vision Pro, I receive following error: ar_image_tracking_provider_t <0x28398f1e0>: Failed to load reference image <ARReferenceImage: 0x28368f120 name="IMG_1640" physicalSize=(1.350, 2.149)> with error: Failed to add reference image. It finds the image, but there seems to be a problem with the loading. I tried the jpeg and the png format. I do not understand why it fails to load the ReferenceImage. I use Xcode Version 15.3 beta 3

I think there is a problem with the keyboard of vision pro. I don't think it's difficult to enter another language. If you're not going to make it, shouldn't Apple provide an extended custom keyboard? Sometimes it's frustrating to see things that are intentionally restricted. If you have any information about vision pro's keyboard or want to discuss it, let's talk about your thoughts together! I don't have any information yet

Hello . I'm currently selling an app. I tried to run the ios version on visionos to provide the same service as the existing app, but a huge amount of incompatible code was generated. Can I create a visionos app with the same name, add visionos from the App Store connect site, and upload a completely separate app project file? The iOS app and the visionos app will use the same icloud, in-app payment, and so on. However, we plan to separate the project itself to reduce the size of the user's app itself and optimize it.

Like the basic environment of visionpro, I want to create a surrounding space when I run my app. Like other apps, I want to customize the space like when I run a movie theater or Apple TV, so I want to give users a better experience. Does anyone know the technology or developer documentation?

Hi, I'm working on developing an app. I need my app to work in a crowd with multiple people (who have multiple hands). From what I understand, the Vision Framework currently uses a heuristic of "largest hand" to assign as the detected hand. This won't work for my application since the largest hand won't always be the one that is of interest. In fact, the hand of interest will be the one that is pointing. I know how to train a model using CreateML to identify a hand that is pointing, but where I'm running into issues is that there is no straightforward way to directly override the Vision framework's built-in heuristic of selecting the largest hand when you're solely relying on Swift and Create ML. I would like my framework to be: Request hand landmarks Process image CreateML reports which hand is pointing We use the pointing hand to collect position data on the points of the index finger But within vision's framework, if you set the number of hands to collect data for to 1, it will just choose the largest hand and report position data for that hand only. Of course, the easy work around here is to set it to X number of hands, but within the scope of an IOS device, this is computationally intensive (since my app could be handling up to 10 hands at a time). Has anyone come up with a simpler solution to this problem or aware of something within visionOS to do it?

Hi Developers, I want to create a Vision app on Swift Playgrounds on iPad. However, Vision does not properly function on Swift Playgrounds on iPad or Xcode Playgrounds. The Vision code only works on a normal Xcode Project. SO can I submit my Swift Student Challenge 2024 Application as a normal Xcode Project rather than Xcode Playgrounds or Swift Playgrounds File. Thanks :)

Hi, I tried to change the default size for a volumetric window but It looks like this window has a maximum width value. Is it true? WindowGroup(id: "id") { ItemToShow() }.windowStyle(.volumetric) .defaultSize(width: 100, height: 0.8, depth: 0.3, in: .meters) Here I set the width to 100 meters but It still looks like about 2 meters

Hello everyone, I want to develop an app for vision pro that aims to help people with vertigo and dizziness problems. The problem is that I can not afford vision pro. If I use standart vr set with an iPhone inside would it cause issues on real vision pro?

I'm exploring my Vision Pro and finding it unclear whether I can even achieve things like body pose detection etc. https://developer.apple.com/videos/play/wwdc2023/111241/ It's clear that I can apply it to self provided images, but how about to the data coming from visionOS SDKs? All I can find is this mesh data from ARKit, https://developer.apple.com/documentation/arkit/arkit_in_visionos - am I missing something or do we not yet have good APIs for this? Appreciate any guidance! Thanks.

When trying to run my app with .windowStyle(.volumetric) for vision OS, this error is returning: Fatal error: Your app was given a scene with session role UISceneSessionRole(_rawValue: UIWindowSceneSessionRoleApplication) but no scenes declared in your App body match this scroll.

Hello, My understanding of the paper below is that iOS ships with a MobileNetv3-based ML model backbone, which then uses different heads for specific tasks in iOS. I understand that this backbone is accessible for various uses through the Vision framework, but I was wondering if it is also accessible for on-device fine-tuning for other purposes. Just as an example, if I want to have a model to detect some unique object in a photo, can I use the built in backbone or do I have to include my own in the app. Thanks very much for any advice and apologies if I didn't understand something correctly. Source: https://machinelearning.apple.com/research/on-device-scene-analysis

I'm using RealityKit to give an immersive view of 360 pictures. However, I'm seeing a problem where the window disappears when I enter immersive mode and returns when I rotate my head. Interestingly, putting ".glassBackground()" to the back of the window cures the issue, however I prefer not to use it in the UI's backdrop. How can I deal with this? here is link of Gif:- https://firebasestorage.googleapis.com/v0/b/affirmation-604e2.appspot.com/o/Simulator%20Screen%20Recording%20-%20Apple%20Vision%20Pro%20-%202024-01-30%20at%2011.33.39.gif?alt=media&token=3fab9019-4902-4564-9312-30d49b15ea48

Hey, I'm working on a UI that a designer created. But he added an object behind the glass, with an offset, pretty much like the cloud in this video: https://dribbble.com/shots/23039991-Weather-Widget-Apple-Vision-Pro-visionOS I tried a couple of methods, but I always ended up clipping my object. So, here's the question: Is there a way to have some object behind the glass panel, but with a slight offset on the x and y?

I am attempting to create a simple compass for Apple Vision Pro. The method I am familiar with involves using: locationManager.startUpdatingHeading() locationManager(_ manager: CLLocationManager, didUpdateHeading newHeading: CLHeading) However, this does not function on visionOS as 'CLHeading is unavailable in visionOS'. Is there any way to develop this simple compass on visionOS?

I am using Vision Framework to recognize text in my app. However, some umlaut diacritics are recognized incorrectly, for example: Grudziński (The incorrect result is: Grudzinski). I already changed language to DE (because my app needs to support DE text) and tried to use VNRecognizeTextRequest#customWord with usesLanguageCorrection but the result still is incorrect. Does Apple provide any APIs to solve this problem? This issue also happens when I open the Gallery on my phone, copy text from images, and paste it to another place.

I'm currently building an iOS app that requires the ability to detect a person's height with a live video stream. The new VNDetectHumanBodyPose3DRequest is exactly what I need but the observations I'm getting back are very inconsistent and unreliable. When I say inconsistent, I mean the values never seem to settle and they can fluctuate anywhere from 5 '4" to 10'1" (I'm about 6'0"). In terms of unreliable, I have once seen a value that closely matches my height but I rarely see any values that are close enough (within an inch) of the ground truth. In terms of my code, I'm not doing any fancy. I'm first opening a LiDAR stream on my iPhone Pro 14: guard let videoDevice = AVCaptureDevice.default(.builtInLiDARDepthCamera, for: .video, position: .back) else { return } guard let videoDeviceInput = try? AVCaptureDeviceInput(device: videoDevice) else { return } guard captureSession.canAddInput(videoDeviceInput) else { return } captureSession.addInput(videoDeviceInput) I'm then creating an output synchronizer so I can get both image and depth data at the same time: videoDataOutput = AVCaptureVideoDataOutput() captureSession.addOutput(videoDataOutput) depthDataOutput = AVCaptureDepthDataOutput() depthDataOutput.isFilteringEnabled = true captureSession.addOutput(depthDataOutput) outputVideoSync = AVCaptureDataOutputSynchronizer(dataOutputs: [depthDataOutput, videoDataOutput]) Finally, my delegate function that handles the synchronizer is roughly: fileprivate func perform3DPoseRequest(cmSampleBuffer: CMSampleBuffer, depthData: AVDepthData) { let imageRequestHandler = VNImageRequestHandler(cmSampleBuffer: cmSampleBuffer, depthData: depthData, orientation: .up) let request = VNDetectHumanBodyPose3DRequest() do { // Perform the body pose request. try imageRequestHandler.perform([request]) if let observation = request.results?.first { if (observation.heightEstimation == .measured) { print("Body height (ft) \(formatter.string(fromMeters: Double(observation.bodyHeight))) (m): \(observation.bodyHeight)") ... I'd appreciate any help determining how to get accurate results from the observation's bodyHeight. Thanks!

I'm going to the U.S. to buy a vision pro, does anyone have any information about where they sell it? Will it be sold in Hawaii by any chance? For now, I'm thinking about New York.

Currently in South Korea, due to my personal experiences with what seems like warranty but isn't, and the operation of a ruthless Genius Bar, I feel compelled to purchase the officially released Vision Pro. I'd like to discuss with other developers here about their thoughts on the release schedule. The product launched in the USA in February, but I'm curious about the months following for the secondary and tertiary launch countries. Naturally, we'll know the launch is imminent when local staff are summoned to the headquarters for training. However, the urgency for localized services, development, and personal purchase is growing on my mind.