Still don't understand why no one is clarifying about this Apple Video https://developer.apple.com/videos/play/wwdc2023/10111 At the end of this video, there's an incomplete tutorial about connecting a USDZ with mesh and Skeleton structure to the hand tracking system. No example project is linked, and no one is giving the community any clarification. Please can you help us to understand how to proceed?

Hello, We discovered that a bunch of our old animated models were no longer animated on iOS15 and onwards. After a few days of playing spot the difference between usda files I noticed that all the broken models had an xform called "Scene". Lo and behold, changing the name of that xform fixed the issue on all the models. Even lowercase "scene" makes the animations work again. Is "Scene" a reserved keyword or something? What other keywords do we need to avoid so we can create more robust USDZ files? I'm surprised this issue isn't more widespread considering Blender wraps models in a "Scene" node. At the drive link below you can find two animated cube USDZs. The only difference is the name of one of the xforms. The one with a "Scene" xform is not animated in quicklook (replicated on iPhone 13 iOS v15.2, iPhone 13 iOS v 18.3, and various devices on Browserstack including iPhone 16 iOS v18.3). https://drive.google.com/drive/folders/1dch1WaM9O6mbHy29S6NGWgnSHkZkPiBf?usp=sharing

As I understand it there are two ways I can track a hand, or a joint, in RealityKit: either, create an AnchorEntity, for example AnchorEntity(.hand(.left, location: .palm)) or, set up an ARSession with a HandTrackingProvider ( a lot more code which I haven't repeated here). Assuming this is correct, when would I want to use one over the other?

I would like to know if there have been any updates that improved the image tracking speed. I submitted feedback a while ago, mentioning that the image tracking rate was only one frame per second on Vision Pro. Thank you very much. FB15688516 and FB16745373is feedback we previously submitted, but we have not received any response yet.

I am using ARKit to detect image in visionPro. However I met some question about adding the reference image. Some of my images can not be added correctly sometimes. (As you can see in the picture above, the 'orange' can not be added correctly, but the 'cup' can). However, sometimes they will be added without any problem. I do not know why it will happen. And I want they all be added steadily.

We are using the ARKit image tracking feature on visionOS 2.0 with three pre-registered images. The image tracking works, but only one image is actively tracked at a time. When more than one target image is visible to the camera, it has difficulty detecting and tracking the other images. Is this the expected behavior in visionOS, or is there something we need to do to resolve this issue?

When I get close to an Entity in RealityKit wearing VisionPro. The Entity will become transparent so I can distinguish it is rendering by VisionPro instead of an object in reality world. How can I make it not transparent when I get close to the Entity?

Hello, I am developing a visionOS application and am interested in obtaining detailed data of users’ hands through ARKit, including but not limited to Transform and rotation angle. I have reviewed Happy Beem, but it appears to only introduce the method of identifying the user’s specific gestures. Could you please advise on how to obtain the Transform and rotation angle of the user’s hand? Thank you.

I have been referencing the Object Tracking Tutorial from WWDC 2024 on Vision OS, how Create ML is used to create a reference object, and we can track them in the ARSession. I am looking forward to building this feature on an AR app for iPhone, I am using iPhone 13 Pro Max. I have created couple of reference objects from the Create ML.

Hi there, I'm trying to merge the mesh anchor into a single mesh, but couldn't find any resources on this. Here is the code where I make the mesh from each mesh anchor, and assigned it to a model component with a shader graph material. func run(_ sceneRec: SceneReconstructionProvider) async { for await update in sceneRec.anchorUpdates { switch update.event { case .added, .updated: // Get or create entity for this anchor let anchorEntity = anchors[update.anchor.id] ?? { let entity = ModelEntity() root?.addChild(entity) anchors[update.anchor.id] = entity return entity }() // Remove any existing children for child in anchorEntity.children { child.removeFromParent() } // Generate the mesh from the anchor guard let mesh = try? await MeshResource(from: update.anchor) else { return } guard let shape = try? await ShapeResource.generateStaticMesh(from: update.anchor) else { continue } print("Mesh added, vertices: \(update.anchor.geometry.vertices.count), bounds: \(mesh.bounds)") // Get the material to use var material: RealityKit.Material if isMaterialLoaded, let loadedMaterial = self.shaderMaterial { material = loadedMaterial } else { // Use a temporary material until the shader loads var tempMaterial = UnlitMaterial() tempMaterial.color = .init(tint: .purple.withAlphaComponent(0.5)) material = tempMaterial } await MainActor.run { anchorEntity.components.set(ModelComponent(mesh: mesh, materials: [material])) anchorEntity.setTransformMatrix(update.anchor.originFromAnchorTransform, relativeTo: nil) // Add collision component with static flag - required for spatial interactions anchorEntity.components.set(CollisionComponent( shapes: [shape], isStatic: true, filter: .default )) // Make entity interactive - enables spatial taps, drags, etc. anchorEntity.components.set(InputTargetComponent()) let shadowComponent = GroundingShadowComponent( castsShadow: true, receivesShadow: true ) anchorEntity.components.set(shadowComponent) } I then use a spatial tap gesture to set the position parameter in the shader graph material that creates a nice gradient from the tap position on the mesh to the rest of the mesh. SpatialTapGesture() .targetedToAnyEntity() .onEnded { value in let tappedEntity = value.entity // Check if the tapped entity is a child of tracking.meshAnchors if isChildOfMeshAnchors(entity: tappedEntity) { // Get local position (in the entity's coordinate space) let localPosition = value.location3D // Convert to world position (scene coordinate space) let worldPosition = value.convert(localPosition, from: .local, to: .scene) print("Tapped mesh anchor at local position: \(localPosition)") print("Tapped mesh anchor at world position: \(worldPosition)") // Update the material parameter with the tap position updateMaterialTapPosition(entity: tappedEntity, position: worldPosition) } else { print("Tapped entity is not a mesh anchor") } } } My issue is that because there are several mesh anchors, the gradient often gets cut off by the edge of the mesh generated from the mesh anchor as suppose to a nice continuous gradient across the entire scene reconstructed mesh I couldn't find any documentations on how to merge mesh from mesh anchors, any tips would be helpful! Thank you!

In ARKit for visionOS, I can track the user's head with a HeadAnchor, but it will not give the location. However, I can get the device's transform by calling queryDeviceAnchor(atTimestamp: CACurrentMediaTime()) on a WorldTrackingProvider. Why the difference? - if I know the device's transform, I effectively know the head's transform.

I am using Entity of RealityKit to display virtual content, however I find that sometimes the real object in front of the virtual content can not occulude the virtual content. For example, I place an Entity in a room, but when I walk into another room, I can still see the Entity through the wall. I wonder how should I fix the problem. Thank you!

The goal is to achieve precise joint tracking for clinical assessment. The Doctor is wearing the AVP and observing the Patients movement. Do you have any recommended best practices for integrating real-time joint tracking and displaying them on the patient within visionOS? We attempted to use VNHumanBodyPose3DObservation, which theoretically should work, but we are unable to display the detected joints in an Immersive Space for real-time validation. This makes it difficult for the doctor to ensure accurate tracking and if possible a photo or video of the Range of Motion assessment would be needed for the patient record. Are there alternative methods to achieve precise real-time joint tracking without requiring main camera access (com.apple.developer.arkit.main-camera-access.allow)?

I have been using ARKit to get hand tracking data on a continuous loop by implementing the AnchorUpdateSequence. I want to try out the .predicted hand tracking, but it seems as though using ARKit session and HandTrackingProvider do not allow me to enable this feature?

I am developing an app which needs high-quality immersion on VisionOS. I found that when some messages pop up, the virtual object will get transparent so the immersion is broken. How could I disable such pop-up messages when the ImmersiveSpace is open .

Hello When processing an ARPlaneAnchor geometry using its ARPlaneGeometry, the triangleIndices is an array of Int16. It's supposed to be an index buffer, which can only be uint16 or uint32 metal. What am I supposed to do with negative indices ? Negative indices are rare but do appear sometimes. Thank you

I am trying the image tracking of ARKit on VisionPro, but there seems to be some problem when adding reference image. Here is my code: let images = ReferenceImage.loadReferenceImages(inGroupNamed: "photos") print("Images: \(images)") try await appState!.arkitSession.run([imageTracking]) It can successfully print those images, however sometimes it will print the error message like this: ARImageTrackingRemoteService: Adding reference image <ARReferenceImage: 0x3032399e0 name="chair" physicalSize=(0.070, 0.093)> failed. When this error message is printed, the corresponding image can not be tracked. I do not understand why this will happen, because sometimes the image can be successfully added, but other time not, even for the same image. It makes my app not stable. Besides, there are some other error messages, and I do not know whether it is related: ARPredictorRemoteService <0x1042154a0>: Query queue is not running. Execution of the command buffer was aborted due to an error during execution. Insufficient Permission (to submit GPU work from background) (00000006:kIOGPUCommandBufferCallbackErrorBackgroundExecutionNotPermitted)

Hello, We are developing an AR app that requires the lidar meshes. Unfortunately the ARMeshAnchors that allows us to retrieve the mesh data are very unreliable. It happens very often that the ARSession removes all ARMeshAnchors and takes anywhere from 5s to 30s to reappear. The planes detection (ARPlaneAnchors) are still working fine and the camera tracking is also working normally. I tried a basic ARKit sample app, and got the same behaviour as our own app. Is this a known issue ? Anything we can do to mitigate the issue ? Thank you

Hi! I attempted running a sample project for detecting human pose in 3D with vision framework, that can be found here: https://developer.apple.com/documentation/vision/detecting-human-body-poses-in-3d-with-vision. It works perfectly on my Macbook Pro M1, but fails on Apple Vision Pro. After selecting a photo, an endless loading screen is displayed and the following message is produced in the console: Failed to initialize 2D Detection Algorithm. Failed to initialize 2D Pose Estimation Algorithm. Failed to initialize algorithm modules Network path is nil: (null) Failed to initialize 2D Detection Algorithm. Failed to initialize 2D Pose Estimation Algorithm. Failed to initialize algorithm modules Unable to perform the request: Error Domain=com.apple.Vision Code=9 "Async status object reported as failed but without an error" UserInfo={NSLocalizedDescription=Async status object reported as failed but without an error}. de-activating session 70138 after timeout Is human pose detection expected to work on VisionOS? Is there any special configuration required, that I might be missing?

I am currently creating an app where two people share an instance of an immersive space so that they are able to point to certain things in the immersive space. Right now, other people are hidden behind the immersive space, and even with people awareness enabled for everything, people are still too difficult to see. I've found this documentation (https://developer.apple.com/documentation/arkit/occluding-virtual-content-with-people) which describes what I want to do, but it is only listed as working on iOS an iPadOS. Is there anything similar to this that will work on VisionOS?