com.apple.Vision Code=9 "Could not build inference plan - ANECF error: failed to load ANE model file:///System/Library/Frameworks/ Vision.framework/anodv4_drop6_fp16.H14G.espresso.hwx Code rise this error: func imageToHeadBox(image: CVPixelBuffer) async throws -> [CGRect] { let request:DetectFaceRectanglesRequest = DetectFaceRectanglesRequest() let faceResult:[FaceObservation] = try await request.perform(on: image) let faceBoxs:[CGRect] = faceResult.map { face in let faceBoundingBox:CGRect = face.boundingBox.cgRect return faceBoundingBox } return faceBoxs }

Hi everyone, I'm working on an AR application where I need to accurately locate the center of the pupil and measure anatomical distances between the pupil and eyelids. I’ve been using ARKit’s face tracking, but I’m having trouble pinpointing the exact center of the pupil. My Questions: Locating Pupil Center in ARKit: Is there a reliable way to detect the exact center of the pupil using ARKit? If so, how can I achieve this? Framework Recommendation: Given the need for fine detail in measurements, would ARKit be sufficient, or would it be better to use the Vision framework for more accurate 2D facial landmark detection? Alternatively, would a hybrid approach, combining Vision for precision and ARKit for 3D tracking, be more effective? What I've Tried: Using ARKit’s ARFaceAnchor to detect face landmarks, but the results for the pupil position seem imprecise for my needs. Considering Vision for 2D detection, but concerned about integrating it into a 3D AR experience. Any insights, code snippets, or guidance would be greatly appreciated! Thanks in advance!

Can we get the raw sensor data from the apple vision pro?

I have tested my application in iOS 15, 16, 17 Version in that vision kit reading value in Horizontal direction once I got updated my device to iOS 18.0 beta value was reading as in vertical direction The build was generated in Xcode 13.4.1. Team please help to understand why this and need to change anything in code level

I am developing an app based on visionOS and need to utilize the main camera access provided by the Enterprise API. I have applied for an enterprise license and added the main camera access capability and the license file in Xcode. In my code, I used await arKitSession.queryAuthorization(for: [.cameraAccess]) to request user permission for camera access. After obtaining the permission, I used arKitSession to run the cameraFrameProvider. However, when running for await cameraFrame in cameraFrameUpdates{ print("hello") guard let mainCameraSample = cameraFrame.sample(for: .left) else { continue } pixelBuffer = mainCameraSample.pixelBuffer } , I am unable to receive any frames from the camera, and even print("hello") within the braces do not execute. The app does not crash or throw any errors. Here is my full code: import SwiftUI import ARKit struct cameraTestView: View { @State var pixelBuffer: CVPixelBuffer? var body: some View { VStack{ Button(action:{ Task { await loadCameraFeed() } }){ Text("test") } if let pixelBuffer = pixelBuffer { let ciImage = CIImage(cvPixelBuffer: pixelBuffer) let context = CIContext(options: nil) if let cgImage = context.createCGImage(ciImage, from: ciImage.extent) { Image(uiImage: UIImage(cgImage: cgImage)) } }else{ Image("exampleCase") .resizable() .scaledToFill() .frame(width: 400,height: 400) } } } func loadCameraFeed() async { // Main Camera Feed Access Example let formats = CameraVideoFormat.supportedVideoFormats(for: .main, cameraPositions:[.left]) let cameraFrameProvider = CameraFrameProvider() let arKitSession = ARKitSession() // main camera feed access example var cameraAuthorization = await arKitSession.queryAuthorization(for: [.cameraAccess]) guard cameraAuthorization == [ARKitSession.AuthorizationType.cameraAccess:ARKitSession.AuthorizationStatus.allowed] else { return } do { try await arKitSession.run([cameraFrameProvider]) } catch { return } let cameraFrameUpdates = cameraFrameProvider.cameraFrameUpdates(for: formats[0]) if cameraFrameUpdates != nil { print("identify cameraFrameUpdates") } else{ print("fail to get cameraFrameUpdates") return } for await cameraFrame in cameraFrameUpdates! { print("hello") guard let mainCameraSample = cameraFrame.sample(for: .left) else { continue } pixelBuffer = mainCameraSample.pixelBuffer } } } #Preview(windowStyle: .automatic) { cameraTestView() } When I click the button, the console prints: identify cameraFrameUpdates It seems like it stuck in getting cameraFrame from cameraFrameUpdates. Occurring on VisionOS 2.0 Beta (just updated), Xcode 16 Beta 6 (just updated). Does anyone have a workaround for this? I would be grateful if anyone can help.

I try vision frameworks with VisionPro but does not work only with VisionOS2.0. When I perform requests, do not work and below error is caught. I try same code with VisionOS1.2, iOS18.0beta it works. I try also new beta API but does not work and same error. ex.GenerateForegroundInstanceMaskRequest do you have any idea? is it any permission for use vision framework with visionOS2.0. This is my try list with VisionOS2.0beta4 GenerateForegroundInstanceMaskRequest (not work error1) VNGenerateForegroundInstanceMaskRequest(not work error1) VNRecognizeTextRequest (not work error2) with VisionOS1.2 VNRecognizeTextRequest (work) with iOS 18beta GenerateForegroundInstanceMaskRequest (work) My Development Env Env1 VisionPro: VIsionOS2.0beta4 Xcode: 16.0beta4,16.0beta2. macOS: 14.5（23F79） Env2 VisionPro: VIsionOS1.2. Xcode: 15.4 macOS: 14.5（23F79）. Error1 Error Domain=com.apple.Vision Code=9 "Could not build inference plan - ANECF error: failed to load ANE model file:///System/Library/Frameworks/Vision.framework/subject_lifting_gen1_rev5_gv8dsz6vxu_multihead_int8.espresso.net Error= (DESIGN)" UserInfo={NSLocalizedDescription=Could not build inference plan - ANECF error: failed to load ANE model file:///System/Library/Frameworks/Vision.framework/subject_lifting_gen1_rev5_gv8dsz6vxu_multihead_int8.espresso.net Error= (DESIGN)} Error2 Error Domain=com.apple.Vision Code=11 "VNRecognizeTextRequest produced an internal error" UserInfo={NSLocalizedDescription=VNRecognizeTextRequest produced an internal error, NSUnderlyingError=0x3001f6850 {Error Domain=CRImageReaderErrorDomain Code=-5 "Unknown error" UserInfo={NSLocalizedDescription=Unknown error}}}

I am trying to count a database table from inside some of my classes. I am tying to do this below **(My problem is that count1 is working, but count2 is not working.) ** class AppState{ private(set) var context: ModelContext? .... func setModelContext(_ context: ModelContext) { self.context = context } @MainActor func count()async{ let container1 = try ModelContainer(for: Item.self) let descriptor = FetchDescriptor<Item>() let count1 = try container1.mainContext.fetchCount(descriptor) let count2 = try context.fetchCount(descriptor) print("WORKING COUNT: \(count1)") print("NOTWORKING COUNT: \(count2) -> always 0") } I am passing the context like: ... @main @MainActor struct myApp: App { @State private var appState = AppState() @Environment(\.modelContext) private var modelContext WindowGroup { ItemView(appState: appState) .task { appState.setModelContext(modelContext) } } .windowStyle(.plain) .windowResizability(.contentSize) .modelContainer(for: [Item.self, Category.self]) { result in ... } Can I get some guidance on why this is happening? Which one is better to use? If I should use count2, how can I fix it? Is this the correct way to search inside an application using SwiftData ? I don't wanna search using the View like @Query because this operation is gonna happen on the background of the app.

How should I set the window of WindowGrop to resemble a curved screen style?

Essentially, I'm trying to find the most straightforward/simple way to outline an Image with varying contours. The intention is similar to the way iMessage allows you to add an outline to a sticker. The "goal" in the example is simply the input image on top of the outline.

Hello all, I'm developing an application for visionOS and I'm trying to implement 2 different animations: First animation Initially, I have a map that should not be visible. I would like to create an animation effect where it appears as if a drop of water falls in the center of the map and the expanding waves gradually reveal the entire map. Is there a way to do it directly on SwiftUI or I need an animation on my USDZ? Second animation I want an animation effect similar to a cinema screen opening from the center, gradually revealing a video that was initially hidden. Is there a way to do it directly on SwiftUI? Can someone help me with this topic? Thanks ;)

Hey all 👋🏼 We're currently working on a video processing project using the Vision framework (face, body and hand pose detection), and We've encountered a couple of errors that I need help with. We are on Xcode 16 Beta 3, testing on an iPhone 14 Pro running iOS 18 beta. The error messages are as follows: [LOG_ERROR] /Library/Caches/com.apple.xbs/Sources/MediaAnalysis/VideoProcessing/VCPHumanPoseImageRequest.mm[85]: code 18,446,744,073,709,551,598 encountered an unexpected condition: *** -[__NSArrayM insertObject:atIndex:]: object cannot be nil What we've tried: Debugging: I’ve tried stepping through the code, but the errors occur before I can gather any meaningful insights. Searching Documentation: Looked through Apple’s developer documentation and forums but couldn’t find anything related to these specific error codes. Nil Check: Added checks to ensure objects are not nil before inserting them into arrays, but the error persists. Here are my questions: Has anyone encountered similar errors with the Vision framework, specifically related to VCPHumanPoseImageRequest and NSArray operations? Is there any known issue or bug in the version of the framework I might be using? Could it also be related to the beta? Are there any additional debug steps or logging mechanisms I can implement to narrow down the cause? Any suggestions on how to handle nil objects more effectively in this context? I would greatly appreciate any insights or suggestions you might have. Thank you in advance for your assistance! Thanks all!

Hi All, I am trying to build a new iOS app by following https://developer.apple.com/videos/play/wwdc2024/10163/?time=67 When I trying to remove all legacy VN I am getting error, I would appreciate if someone can help me get up to speed with the new Vision API

I can‘t Figure Out How to Get My Earth Entity to Rotate on its Axis. This is a follow up post from a previous Apple Developer forum post. How would I have the earth (parent) entity rotate CCW underneath the orbiting starship child? I tried adding the following code block to the RealityView but it is not working: if let rotatingEarth = starshipEntity.findEntity(named: "Earth") { rotatingEarth.transform.rotation = simd_quatf.init(angle: 360, axis: SIMD3(x: 0, y: 1, z: 0)) if let animation = try? AnimationResource.generate(with: rotatingEarth as! AnimationDefinition) { rotatingEarth.playAnimation(animation) } } Any advice on getting the earth to rotate? I tried reviewing the Hello World WWDC23 project code, but I was unable to understand the complexity and how that sample project got the earth to rotate. i want to do this for visionOS 1.2. I realize there are some new animation and possible other capabilities coming up in vision 2.0 but I want to try to address this issue in the current released visionOS version.

I'm developing 3D Scanner works on iPad. I'm using AVCapturePhoto and Photogrammetry Session. photoCaptureDelegate is like below: extension PhotoCaptureDelegate: AVCapturePhotoCaptureDelegate { func photoOutput(_ output: AVCapturePhotoOutput, didFinishProcessingPhoto photo: AVCapturePhoto, error: Error?) { let fileUrl = CameraViewModel.instance.imageDir!.appendingPathComponent("\(PhotoCaptureDelegate.name)\(id).heic") let img = CIImage(cvPixelBuffer: photo.pixelBuffer!, options: [ .auxiliaryDepth: true, .properties: photo.metadata ]) let depthData = photo.depthData!.converting(toDepthDataType: kCVPixelFormatType_DepthFloat32) let colorSpace = CGColorSpace(name: CGColorSpace.sRGB) let fileData = CIContext().heifRepresentation(of: img, format: .RGBA8, colorSpace: colorSpace!, options: [ .avDepthData: depthData ]) try? fileData!.write(to: fileUrl, options: .atomic) } } But, Photogrammetry session spits warning messages: Sample 0 missing LiDAR point cloud! Sample 1 missing LiDAR point cloud! Sample 2 missing LiDAR point cloud! Sample 3 missing LiDAR point cloud! Sample 4 missing LiDAR point cloud! Sample 5 missing LiDAR point cloud! Sample 6 missing LiDAR point cloud! Sample 7 missing LiDAR point cloud! Sample 8 missing LiDAR point cloud! Sample 9 missing LiDAR point cloud! Sample 10 missing LiDAR point cloud! The session creates a usdz 3d model but scale is not correct. I think the point cloud can help Photogrammetry session to find right scale, but I don't know how to attach point cloud.

"On the latest iOS 18 beta 2, the OCR API，the Translate App and Live Text performs very poorly in recognizing Japanese."

Hey, is there a way to create a good ground shadow shader? I'm using a ground with an unlit material and I can't get the ground shadow to work properly. If I use a PBR texture it works better, but i can barely see it and I want to control the intensity more.

I'm currently streaming synchronised video and depth data from my iPhone 13, using AVFoundation, video set to AVCaptureSession.Preset.vga640x480. When looking at the corresponding images (with depth values mapped to a grey colour map), (both map and image are of size 640x480) it appears the two feeds have different fields of view, with the depth feed zoomed in and angled upwards, and the colour feed more zoomed out. I've looked at the intrinsics from both the depth map, and my colour sample buffer, they are identical. Does anyone know why this might be? My setup code is below (shortened): import AVFoundation import CoreVideo class VideoCaptureManager { private enum SessionSetupResult { case success case notAuthorized case configurationFailed } private enum ConfigurationError: Error { case cannotAddInput case cannotAddOutput case defaultDeviceNotExist } private let videoDeviceDiscoverySession = AVCaptureDevice.DiscoverySession(deviceTypes: [.builtInTrueDepthCamera], mediaType: .video, position: .front) private let session = AVCaptureSession() public let videoOutput = AVCaptureVideoDataOutput() public let depthDataOutput = AVCaptureDepthDataOutput() private var outputSynchronizer: AVCaptureDataOutputSynchronizer? private var videoDeviceInput: AVCaptureDeviceInput! private let sessionQueue = DispatchQueue(label: "session.queue") private let videoOutputQueue = DispatchQueue(label: "video.output.queue") private var setupResult: SessionSetupResult = .success init() { sessionQueue.async { self.requestCameraAuthorizationIfNeeded() } sessionQueue.async { self.configureSession() } sessionQueue.async { self.startSessionIfPossible() } } private func requestCameraAuthorizationIfNeeded() { switch AVCaptureDevice.authorizationStatus(for: .video) { case .authorized: break case .notDetermined: AVCaptureSession sessionQueue.suspend() AVCaptureDevice.requestAccess(for: .video, completionHandler: { granted in if !granted { self.setupResult = .notAuthorized } self.sessionQueue.resume() }) default: setupResult = .notAuthorized } } private func configureSession() { if setupResult != .success { return } let defaultVideoDevice: AVCaptureDevice? = videoDeviceDiscoverySession.devices.first guard let videoDevice = defaultVideoDevice else { print("Could not find any video device") setupResult = .configurationFailed return } do { videoDeviceInput = try AVCaptureDeviceInput(device: videoDevice) } catch { setupResult = .configurationFailed return } session.beginConfiguration() session.sessionPreset = AVCaptureSession.Preset.vga640x480 guard session.canAddInput(videoDeviceInput) else { print("Could not add video device input to the session") setupResult = .configurationFailed session.commitConfiguration() return } session.addInput(videoDeviceInput) if session.canAddOutput(videoOutput) { session.addOutput(videoOutput) if let connection = videoOutput.connection(with: .video) { connection.isCameraIntrinsicMatrixDeliveryEnabled = true } else { print("Cannot setup camera intrinsics") } videoOutput.videoSettings = [kCVPixelBufferPixelFormatTypeKey as String: Int(kCVPixelFormatType_32BGRA)] } else { print("Could not add video data output to the session") setupResult = .configurationFailed session.commitConfiguration() return } if session.canAddOutput(depthDataOutput) { session.addOutput(depthDataOutput) depthDataOutput.isFilteringEnabled = false if let connection = depthDataOutput.connection(with: .depthData) { connection.isEnabled = true } else { print("No AVCaptureConnection") } } else { print("Could not add depth data output to the session") setupResult = .configurationFailed session.commitConfiguration() return } let depthFormats = videoDevice.activeFormat.supportedDepthDataFormats let filtered = depthFormats.filter({ CMFormatDescriptionGetMediaSubType($0.formatDescription) == kCVPixelFormatType_DepthFloat16 }) let selectedFormat = filtered.max(by: { first, second in CMVideoFormatDescriptionGetDimensions(first.formatDescription).width < CMVideoFormatDescriptionGetDimensions(second.formatDescription).width }) do { try videoDevice.lockForConfiguration() videoDevice.activeDepthDataFormat = selectedFormat videoDevice.unlockForConfiguration() } catch { print("Could not lock device for configuration: \(error)") setupResult = .configurationFailed session.commitConfiguration() return } session.commitConfiguration() } private func addVideoDeviceInputToSession() throws { do { var defaultVideoDevice: AVCaptureDevice? defaultVideoDevice = AVCaptureDevice.default( .builtInTrueDepthCamera, for: .depthData, position: .front ) guard let videoDevice = defaultVideoDevice else { print("Default video device is unavailable.") setupResult = .configurationFailed session.commitConfiguration() throw ConfigurationError.defaultDeviceNotExist } let videoDeviceInput = try AVCaptureDeviceInput(device: videoDevice) if session.canAddInput(videoDeviceInput) { session.addInput(videoDeviceInput) } else { setupResult = .configurationFailed session.commitConfiguration() throw ConfigurationError.cannotAddInput } }

We have a lot of resources made using 3Dmaxs design software. How can the USDZ exported from 3dmax be used in the vision project. The preview in the folder on the Apple computer is correct. However, it is not possible to parse the texture in the xcode project. The difference in USDZ data compared to Blender is that the texture data exported by 3dmax has an additional node graph node. Is there any export plugin support?

Hi everyone, I'm curious about the capabilities of ARKit's object tracking feature. Specifically, I'd like to know: Is there a size limit for the objects that can be tracked? Can ARKit differentiate between two objects with the same shape but different models (e.g., different colors)? Are objects with single colors and generic shapes (like squares or circles) effectively trackable? Any insights or examples from your experiences would be greatly appreciated! Thanks in advance.

I'm seeking insight on why the new VisionOS Barcode Scanning API is categorized as an Enterprise API and restricted only for proprietary and in-house apps. I understand Apple's focus on privacy and I can see how this restriction could make sense for other Enterprise APIs like main camera access and passthrough screen capture. Why is barcode scanning restricted from open apps? What makes barcode scanning more of a risk to privacy versus the unrestricted APIs for object tracking, image tracking, or hand tracking?