Is it possible to access the raw lidar measurements before the sceneDepth calculation is done to combines the lidar measurements with visual data. In low light environments the lidar scanner should still work and provide depth info but I cannot figure out how to access those pure lidar depth measurements. I am currently using: guard let frame = arView.session.currentFrame, let depthData = frame.sceneDepth?.depthMap else { print("Depth data is unavailable.") return } but this is the depth data after sensor fusion occurs and fails in low light conditions.

We are currently using ObjectCapture from ARKit, and we would like to fix exposure time, white balance parameter and ISO. How can we do this ? Additionally, we'd like to obtain the following information from the ARKit : white balance parameters (in case we cannot fix them) and color correction matrices ?

==> Which information will I get from CMSSampleBuffer ? Is there an option to block close up accomodation of the camera ? Is there a way for the object capture module to take a video instead of a series of picture ? It would be fantastic to have an answer on all of these questions to be able to move forward on new implementations.

WWDC21 had a cool demo project with fish, with a watery, misty look (Dive into RealityKit). It used post processing in RealityKit, but the ARView class isn’t available in VisionOS. Can CompositorLayer be used instead for post processing in full immersion?

Hi, I would like to know how predicted hand tracking in ARKit works. Does it use the Kalman filter, or does it have another approach?

After creating a ". plist" file in the "Document" folder of the app, uninstalling and reinstalling the app, the "FileManager. default. fileExists (atPath: folderURL. path())" code returns true. I checked if the ". plist" file was not found in the "Document" folder of the app. Is this a bug in the VisionOS system

Hi, I added DockingRegion to my scene from Reality Composer Pro, and I am able to load up the scene, but DockingRegion is getting ignored and the scene is getting rendered with no change in AVPlayerViewController window. As it can be seen in Reality Composer Pro screenshot below, I set the width of the player to 666, and moved it to the back by 300cm, but the actual result does not reflect the position I set on Reality Composer Pro. Is there anything else I should do other than loading up the Entity and adding to RealityView? Specifically, do I have to get the DockingRegion within the usda file and somehow enable it?

We have a plane model (basecircle)without physics and rigid body components, and no gestures are implemented. However, when tapped, the model unexpectedly falls into infinity. func fetchEnvResource(){ var simpleMaterial = SimpleMaterial() env = try! Entity.loadModel(named: "bgMain5") env.position += [0,0,-10] envTexture = PhysicallyBasedMaterial() envTextureUnlit = UnlitMaterial() envTexture.baseColor = .init(texture: .init(try! .load(named: "bgMain5"))) envTextureUnlit.color = .init(texture: .init(try! .load(named: "bgMain5"))) env.isEnabled = false let anchor = AnchorEntity(world: [0, 0, -3]) baseCircle = ModelEntity(mesh: .generatePlane(width: 1.5, depth: 1.5, cornerRadius: 0.75), materials: [SimpleMaterial(color: .green, isMetallic: false)]) env.components.set(InputTargetComponent()) baseMaterial = PhysicallyBasedMaterial() baseMaterialUnlit = UnlitMaterial() baseMaterial.baseColor = .init(texture: .init(try! .load(named: "groundTexture"))) baseMaterial.baseColor.tint = UIColor(white: 1.0, alpha: CGFloat(textureOpacity)) baseCircle.model?.materials = [baseMaterial] baseCircle.generateCollisionShapes(recursive: false) baseCircle.components.set(InputTargetComponent()) baseCircle.components[PhysicsBodyComponent.self] = .init(PhysicsBodyComponent(massProperties: .default, mode: .static)) baseCircle.physicsBody = PhysicsBodyComponent( mode: .kinematic ) anchorEntity.addChild(baseCircle) baseCircle.position = [0,0,-3] baseCircle.isEnabled = false let cylinder = ModelEntity(mesh: .generateCylinder(height: 0.2, radius: 0.5), materials: [SimpleMaterial(color: .blue, isMetallic: false)]) cylinder.position = [0,-0.1,0] cylinder.generateCollisionShapes(recursive: false) cylinder.components[PhysicsBodyComponent.self] = .init(PhysicsBodyComponent(massProperties: .default, mode: .static)) cylinder.physicsBody = nil cylinder.scale = [500, 100, 100] anchor.addChild(cylinder) } The plane model in this issue is the BaseCircle. Any suggestions on how to solve this or potential fixes would be greatly appreciated

Hey, I have Enterprise Access on the account and have added the passthrough capability and the entitlement on the main project and the "Broadcast Upload" extension, too. The broadcast works except it returns a black screen. I am attaching some screenshots below of the entitlement file. I have tried searching online to no avail, so any help would be greatly appreciated. I am also attaching the code. import Foundation import AVFoundation import ReplayKit class VideoAssetWriter { private var isRecording = false private var outputStream: OutputStream? private func setupConnection() { guard outputStream == nil else { return } print("setting up connection.") let serverIP = macIP let port = 12345 var readStream: Unmanaged<CFReadStream>? var writeStream: Unmanaged<CFWriteStream>? CFStreamCreatePairWithSocketToHost(kCFAllocatorDefault, serverIP as CFString, UInt32(port), &readStream, &writeStream) guard let writeStream = writeStream?.takeRetainedValue() else { print("Failed to create write stream") return } self.outputStream = writeStream as OutputStream self.outputStream?.open() } func startRecording() { isRecording = true } func processVideoSampleBuffer(_ sampleBuffer: CMSampleBuffer) { print("Processing Sample 1") guard isRecording else { return } print("Processing Sample 2") sendVideoChunkToServer(sampleBuffer) } private func sendVideoChunkToServer(_ sampleBuffer: CMSampleBuffer) { guard let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return } print("Processing Sample 3") let ciImage = CIImage(cvPixelBuffer: imageBuffer) let context = CIContext() guard let cgImage = context.createCGImage(ciImage, from: ciImage.extent) else { return } print("Processing Sample 4") let image = UIImage(cgImage: cgImage) if let imageData = image.jpegData(compressionQuality: 0.5) { guard imageData.count <= 10_000_000 else { print("Frame too large: \(imageData.count) bytes") return } if outputStream == nil { setupConnection() } print("sending frame size up connection.") // Convert to network byte order (big-endian) var frameSize = UInt32(imageData.count).bigEndian let sizeData = Data(bytes: &frameSize, count: MemoryLayout<UInt32>.size) _ = sizeData.withUnsafeBytes { outputStream?.write($0.baseAddress!.assumingMemoryBound(to: UInt8.self), maxLength: sizeData.count) } print("sending image data up connection.") // Send frame data _ = imageData.withUnsafeBytes { outputStream?.write($0.baseAddress!.assumingMemoryBound(to: UInt8.self), maxLength: imageData.count) } } } func stopRecording() { isRecording = false outputStream?.close() outputStream = nil } } This is the broadcast picker view wrapper: // Broadcast Picker View wrapper struct BroadcastButtonView: UIViewRepresentable { func makeUIView(context: Context) -> RPSystemBroadcastPickerView { let broadcastPickerView = RPSystemBroadcastPickerView( frame: CGRect(x: 0, y: 0, width: 200, height: 200) ) // Make sure this matches your broadcast extension bundle identifier broadcastPickerView.preferredExtension = "my-extension-bundle-identifier" broadcastPickerView.showsMicrophoneButton = false return broadcastPickerView } func updateUIView(_ uiView: RPSystemBroadcastPickerView, context: Context) { } } The extension SampleHandler: override func broadcastPaused() { print("paused broadcast") // User has requested to pause the broadcast. Samples will stop being delivered. } override func broadcastResumed() { print("resumed broadcast") // User has requested to resume the broadcast. Samples delivery will resume. } override func processSampleBuffer(_ sampleBuffer: CMSampleBuffer, with sampleBufferType: RPSampleBufferType) { print("broadcast received") assetWriter?.processVideoSampleBuffer(sampleBuffer) } Looking forward to any and all help. Information Property list: Information property list for the extension: The capabilities:

Hello All, We're going to do a scene now, kind of like a time travel door. When the user selects the scene, the user passes through the door to show the current scene. The changes in the middle need to be more natural. It's even better if you can walk through an immersive space... There is very little information now. How can I start doing this? Is there any information I can refer to thanks

Dear Apple Engineers, I am working on a project in visionOS and need to implement a curved surface effect for video playback, where the width of the surface can be dynamically adjusted. Specifically, I want the video to be displayed on a curved surface (similar to a scroll unfolding), and the user should be able to adjust the width of this surface. I have the following specific questions: How can I implement a curved surface for video playback and ensure the video content is not stretched or distorted on the surface? How can I create a dynamic curved surface (such as a bending plane) in RealityKit or visionOS, where the width can be adjusted by the user? Is it possible to achieve more complex curved surface effects (such as scroll unfolding or bending) using Shaders or other techniques? Thank you very much for your help!

I want a sentence custom hover effect, not a button. I want a hover effect when you look at one sentence out of many sentences. So I searched for reference videos https://youtu.be/DftRTx1oX6E , https://developer.apple.com/videos/play/wwdc2023/10110/ on apple youtube and visionOS documentation. But I haven't gotten anywhere near my wish feature yet. I respectfully request someone to help me. :)

I was watching the Developer videos, and there was mention that RealityView handles persistent world data differently and also automatically for us. I am having an issue finding the material I need to get up to speed on that. In ARKit, I was able to place a model with the world data and recall that .map data. It even stored a reference image for the scene to help match the world data. I'm looking for the information on how to implement and work with those same features with RealityView, as it seems to be better/automatically integrated? I need help being pointed in the right direction. Sample code would be amazing.

Is this behaviour expected? For example, if I'm using let materials = [SimpleMaterial(color: .red, isMetallic: false)] occlusion works normally, but with let materials = [SimpleMaterial(color: .red.withAlphaComponent(0.5), isMetallic: false)] i can see my cube through real-world objects, like tables, columns, etc. I'm getting the same behaviour if using CustomMaterial from shader and applying customMaterial.blending = .opaque and customMaterial.blending = .transparent(opacity: ) respectively

In the WWDC session titled "Deep dive into volumes and immersive spaces", the developers discussed adding a Spatial Tracking Session and an Anchor Entity to detect the floor. They then glossed over some important details. They added a spatial tap gesture to let the user place content relative to the floor anchor, but they left a lot of information. .gesture( SpatialTapGesture( coordinateSpace: .immersiveSpace ) .targetedToAnyEntity() .onEnded { value in handleTapOnFloor(value: value) } ) My understanding is that an entity has to have input and collision components for gestures like this to work. How can we add a collision to an AnchorEntity when we don't know its size or shape? I've been trying for days to understand what is happening here and I just don't get it. It is even more frustrating that the example project that Apple released does not contain any of these features. I would like to be able Detect the floor plane Get the position/transform of the floor plane Add a collider to the floor plane Enable collisions and physics on the floor plane Enable gestures on the floor plane It seems to me that the Anchor Entity is placed as an entirely arbitrary position. It has absolutely no relationship to the rectangle with the floor label that I can see in the Xcode visualization. It is just a point, not a plane or rect that I can use. I've tried manually calculating the collision shape after the anchor is detected, but nothing that I have tried works. I can't tap on the floor with gestures. I can't drop entities onto the floor. I can't seem to do ANYTHING at all with this floor anchor other than place entity at the totally arbitrary location somewhere on the floor. Is there anyway at all with Spatial Tracking Session and Anchor Entity to get the actual plane that was detected? struct FloorExample: View { @State var trackingSession: SpatialTrackingSession = SpatialTrackingSession() @State var subject: Entity? @State var floor: AnchorEntity? var body: some View { RealityView { content, attachments in let session = SpatialTrackingSession() let configuration = SpatialTrackingSession.Configuration(tracking: [.plane]) _ = await session.run(configuration) self.trackingSession = session let floorAnchor = AnchorEntity(.plane(.horizontal, classification: .floor, minimumBounds: SIMD2(x: 0.1, y: 0.1))) floorAnchor.anchoring.physicsSimulation = .none floorAnchor.name = "FloorAnchorEntity" floorAnchor.components.set(InputTargetComponent()) floorAnchor.components.set(CollisionComponent(shapes: .init())) content.add(floorAnchor) self.floor = floorAnchor // This is just here to let me see where visinoOS decided to "place" the floor anchor. let floorPlaced = ModelEntity( mesh: .generateSphere(radius: 0.1), materials: [SimpleMaterial(color: .black, isMetallic: false)]) floorAnchor.addChild(floorPlaced) if let scene = try? await Entity(named: "AnchorLabsFloor", in: realityKitContentBundle) { content.add(scene) if let subject = scene.findEntity(named: "StepSphereRed") { self.subject = subject } // I can see when the anchor is added _ = content.subscribe(to: SceneEvents.AnchoredStateChanged.self) { event in event.anchor.generateCollisionShapes(recursive: true) // this doesn't seem to work print("**anchor changed** \(event)") print("**anchor** \(event.anchor)") } // place the reset button near the user if let panel = attachments.entity(for: "Panel") { panel.position = [0, 1, -0.5] content.add(panel) } } } update: { content, attachments in } attachments: { Attachment(id: "Panel", { Button(action: { print("**button pressed**") if let subject = self.subject { subject.position = [-0.5, 1.5, -1.5] // Remove the physics body and assign a new one - hack to remove momentum if let physics = subject.components[PhysicsBodyComponent.self] { subject.components.remove(PhysicsBodyComponent.self) subject.components.set(physics) } } }, label: { Text("Reset Sphere") }) }) } } }

Subject: Combining ARKit Face Tracking with High-Resolution AVCapture and Perspective Rendering on Front Camera Message: Hello Apple Developer Community, We’re developing an application using the front camera that requires both real-time ARKit face tracking/guidance and the capture of high-resolution still images via AVCaptureSession. Our goal is to leverage ARKit’s depth and face data to render a captured image from another perspective post-capture, maintaining high image quality. Our Approach: Real-Time ARKit Guidance: Utilize ARKit (e.g., ARFaceTrackingConfiguration) for continuous face tracking, depth, and scene understanding to guide the user in real time. High-Resolution Capture Transition: At the moment of capture, we plan to pause the ARKit session and switch to an AVCaptureSession to take a high-resolution image. We assume that for a front-facing image, the subject’s face is directly front-on, and the relative pose between the face and camera remains the same during the transition. The only variation we expect is a change in distance. Our intention is to minimize the delay between the last ARKit frame and the high-res capture to maintain temporal consistency, assuming that aside from distance, the face-camera relative pose remains unchanged. Post-Processing Perspective Rendering: Using the last ARKit face data (depth, pose, and landmarks) along with the high-resolution 2D image, we aim to render the scene from another perspective. We want to correct the perspective of the 2D image using SceneKit or RealityKit, leveraging the collected ARKit scene information to achieve a natural, high-quality rendering from a different viewpoint. The rendering should match the quality of a normally captured high-resolution image, adjusting for the difference in distance while using the stored ARKit data to correct perspective. Our Questions: Session Transition Best Practices: What are the recommended best practices to seamlessly pause ARKit and switch to a high-resolution AVCapture session on the front camera How can we minimize user movement or other issues during this brief transition, given our assumption that the face-camera pose remains largely consistent except for distance changes? Data Integration for Perspective Rendering: How can we effectively integrate stored ARKit face, depth, and pose data with the high-res image to perform accurate perspective correction or rendering from another viewpoint? Given that we assume the relative pose is constant except for distance, are there strategies or APIs to leverage this assumption for simplifying the perspective transformation? Perspective Correction with SceneKit/RealityKit: What techniques or workflows using SceneKit or RealityKit are recommended for correcting the perspective of a captured 2D image based on ARKit scene data? How can we use these frameworks to render the high-resolution image from an alternative perspective, while maintaining image quality and fidelity? 4. Pitfalls and Guidelines: What common pitfalls should we be aware of when combining ARKit tracking data with high-res capture and post-processing for perspective rendering? Are there performance considerations, recommended thresholds for acceptable temporal consistency, or validation techniques to ensure the ARKit data remains applicable at the moment of high-res capture? We appreciate any advice, sample code references, or documentation pointers that could assist us in implementing this workflow effectively. Thank you!

PLATFORM AND VERSION Vision OS Development environment: Xcode 16.2, macOS 15.2 Run-time configuration: visionOS 2.3 (On Real Device, Not simulator) Please someone confirm I'm not crazy and this issue is actually out of my control. Spent hours trying to fix my app and running profiles because thought it was an issue related to my apps performance. Finally considered chance it was issue with API itself and made sample app to isolate problem, and it still existed in it. The issue is when a model entity moves around in a full space that was launched when the system environment immersion was turned up before opening it, the entities looks very choppy as they move around. If you take off the headset while still in the space, and put it back on, this fixes it and then they move smoothly as they should. In addition, you can also leave the space, and then turn the system environment immersion all the way down before launching the full space again, this will also make the entity moves smoothly as it should. If you launch a mixed immersion style instead of a full immersion style, this issue never arrises. The issue only arrises if you launch the space with either a full style, or progressive style, while the system immersion level is turned on. STEPS TO REPRODUCE https://github.com/nathan-707/ChoppyEntitySample Open my test project, its a small, modified vision os project template that shows it clearly. otherwise: create immersive space with either full or progressive immersion style. setup a entity in kinematic mode, apply a velocity to it to make it pass over your head when the space appears. if you opened the space while the Apple Vision Pros system environment was turned up, the entity will look choppy. if you take the headset off while in the same space, and put it back on, it will fix the issue and it will look smooth. alternatively if you open the space with the system immersion environment all the way down, you will also not run into the issue. Again, issue also does not happen if space launched is in mixed style.

Hi, When I'm looking at the RoomAnchor documentation I can see the planeAnchorIDs property. My question: How I can get an array of PlaneAnchor with planeAnchorIDs? A code example would be greatly appreciated. Regards Tof

Hello, We've been working for months now on an App for the Vision Pro. (it's been great btw!) We already have an App in the App Store for iOS, and have been migrating our platform from the Microsoft Hololens 2 to the AVP: https://apps.microsoft.com/detail/9NPPP031VHD1 We require the Main Camera access and already have gotten the Enterprise.license for development purposes. Unfortunately, we cannot publish our Business App (which uses an Enterprise API) under the same Name/Bundle ID as our iOS App because it would conflict with our current Distribution Method. We arrived at the conclusion that we need a new Enterprise.license under a different Bundle ID to create a new App for the Business Store. Has anyone been in the same boat as us, and tried to publish to the Business Store while already having an App in the Public App Store under the same name? We applied to get another license for distribution under another name (with "Pro" at the end), but it's been stuck in limbo for over a month now (probably because the new bundle ID doesn't have any track record). Anyhow, thanks for any help, we're open to suggestions as to how to proceed!

I am a newby of spatial computing. Here I am learning how to use ARKit to capture the environment texture and apply it on a ModelEntity of RealityKit on Vision Pro. But I do not find a demo of how to use EnvironmentLightEstimationProvider. After checking the documentation, I also have some questions: EnvironmentProbeAnchor.environmentTexture is a MTLTexture, but EnvironmentResource needs a CGImage. How do I translate MTLTexture to CGImage(Forgive me that I do not know much about Metal or other framework, so It will be better if there is a code that I can copy and paste directly) It seems that the EnvironmentProbeAnchor can only get the light information around the device. But what should I do if I want get the light information around the ModelEntity so that I can apply the environment texture on it. It will be better if you can provide a code demo about how to use the new api. Thank you!