I'm getting an error writing a ciImage as a heif image: // Create CIImage directly from pixel buffer let ciImage = CIImage(cvPixelBuffer: pixelBuffer, options: [CIImageOption.properties: combinedMetadata]) // Write HEIC synchronously do { try ciContext.writeHEIFRepresentation(of: ciImage, to: url, format: .RGBA8, colorSpace: colorSpace) The error I'm getting is: Error Domain=CINonLocalizedDescriptionKey Code=3 "(null)" UserInfo={CINonLocalizedDescriptionKey=failed to write HEIC data to file., NSUnderlyingError=0x11b1a1ec0 {Error Domain=CINonLocalizedDescriptionKey Code=10 "(null)" UserInfo={CINonLocalizedDescriptionKey=failed to add image to the PhotoCompressionSession.}}} Both try ciContext.writeJPEGRepresentation(of: copiedCIImage, to: url, colorSpace: colorSpace, options: options) and try ciContext.writePNGRepresentation(of: copiedCIImage, to: url, format: .RGBA8, colorSpace: colorSpace) work. I also verified that the code works with iOS 18. Is there something new we need to do for Heif images? Thanks in advance

I'm developing an iOS app using AVFoundation for real-time video capture and object detection. While implementing torch functionality with camera switching (between Wide and Ultra-Wide lenses), I encountered a critical issue where the camera freezes when toggling the torch while the Ultra-Wide camera is active. Issue If the torch is ON and I switch from Wide to Ultra-Wide, the camera freezes If the Ultra-Wide camera is active and I try to turn the torch ON, the camera freezes The iPhone Camera app allows using the torch while recording video with the Ultra-Wide lens, so this should be possible via AVFoundation as well. Code snippet DispatchQueue.global(qos: .userInitiated).async { [weak self] in guard let self = self else { return } let isSwitchingToUltraWide = !self.isUsingFisheyeCamera let cameraType: AVCaptureDevice.DeviceType = isSwitchingToUltraWide ? .builtInUltraWideCamera : .builtInWideAngleCamera let cameraName = isSwitchingToUltraWide ? "Ultra Wide" : "Wide" guard let selectedCamera = AVCaptureDevice.default(cameraType, for: .video, position: .back) else { DispatchQueue.main.async { self.showAlert(title: "Camera Error", message: "\(cameraName) camera is not available on this device.") } return } do { let currentInput = self.videoCapture.captureSession.inputs.first as? AVCaptureDeviceInput self.videoCapture.captureSession.beginConfiguration() if isSwitchingToUltraWide && self.isFlashlightOn { self.forceEnableTorchThroughWide() } if let currentInput = currentInput { self.videoCapture.captureSession.removeInput(currentInput) } let videoInput = try AVCaptureDeviceInput(device: selectedCamera) self.videoCapture.captureSession.addInput(videoInput) self.videoCapture.captureSession.commitConfiguration() self.videoCapture.updateVideoOrientation() DispatchQueue.main.async { if let barButton = sender as? UIBarButtonItem { barButton.title = isSwitchingToUltraWide ? "Wide" : "Ultra Wide" barButton.tintColor = isSwitchingToUltraWide ? UIColor.systemGreen : UIColor.white } print("Switched to \(cameraName) camera.") } self.isUsingFisheyeCamera.toggle() } catch { DispatchQueue.main.async { self.showAlert(title: "Camera Error", message: "Failed to switch to \(cameraName) camera: \(error.localizedDescription)") } } } } Expected Behavior Torch should be able to work when Ultra-Wide is active, just like the iPhone Camera app does. The camera should not freeze when switching between Wide and Ultra-Wide with the torch ON. AVCaptureSession should not crash when toggling the torch while Ultra-Wide is active. Questions & Help Needed Is this a known issue with AVFoundation? How does the iPhone Camera app allow using the torch while recording in Ultra-Wide? What’s the correct way to switch between Wide and Ultra-Wide cameras without freezing when the torch is active? Info Device tested: iPhone 13 Pro / iPhone 15 Pro / Iphone 15 iOS Version: iOS 17.3 / iOS 18.0 Xcode Version: 16.2

My implementation of LockedCameraCapture does not launch my app when tapped from locked screen. But when the same widget is in the Control Center, it launches the app successfully. Standard Xcode target template: Lock_Screen_Capture.swift @main struct Lock_Screen_Capture: LockedCameraCaptureExtension { var body: some LockedCameraCaptureExtensionScene { LockedCameraCaptureUIScene { session in Lock_Screen_CaptureViewFinder(session: session) } } } Lock_Screen_CaptureViewFinder.swift: import SwiftUI import UIKit import UniformTypeIdentifiers import LockedCameraCapture struct Lock_Screen_CaptureViewFinder: UIViewControllerRepresentable { let session: LockedCameraCaptureSession var sourceType: UIImagePickerController.SourceType = .camera init(session: LockedCameraCaptureSession) { self.session = session } func makeUIViewController(context: Self.Context) -> UIImagePickerController { let imagePicker = UIImagePickerController() imagePicker.sourceType = sourceType imagePicker.mediaTypes = [UTType.image.identifier, UTType.movie.identifier] imagePicker.cameraDevice = .rear return imagePicker } func updateUIViewController(_ uiViewController: UIImagePickerController, context: Self.Context) { } } Then I have my widget: struct CameraWidgetControl: ControlWidget { var body: some ControlWidgetConfiguration { StaticControlConfiguration( kind: "com.myCompany.myAppName.lock-screen") { ControlWidgetButton(action: MyAppCaptureIntent()) { Label("Capture", systemImage: "camera.shutter.button.fill") } } } } My AppIntent: struct MyAppContext: Codable {} struct MyAppCaptureIntent: CameraCaptureIntent { typealias AppContext = MyAppContext static let title: LocalizedStringResource = "MyAppCaptureIntent" static let description = IntentDescription("Capture photos and videos with MyApp.") @MainActor func perform() async throws -> some IntentResult { .result() } } The Issue LockedCameraCapture Widget does not launch my app when tapped from locked screen. You get the Face ID prompt and takes you to just Home Screen. But when the same widget is in the Control Center, it launches the app successfully. Error Message When tapped on Lock Screen, I get the following error code: LaunchServices: store ‹private > or url ‹private > was nil: Error Domain=NSOSStatusErrorDomain Code=-54 "process may not map database" UserInfo=&NSDebugDescription=process may not map database, _LSLine=72, _LSFunction=_LSServer_GetServerStoreForConnectionWithCompletionHandler} Attempt to map database failed: permission was denied. This attempt will not be retried. Failed to initialize client context with error Error Domain=NSOSStatusErrorDomain Code=-54 "process may not map database" UserInfo=&NSDebugDescription=process may not map database, _LSLine=72, _LSFunction=_LSServer_GetServerStoreForConnectionWithCompletionHandler} Things I tried Widget image displays correctly App ID and the Provisioning Profile seem to be fine since they work fine when the same code injected in to AVCam sample app and when used the same App ID's. AppIntent file contains the target memberships of the Lock Screen capture and Widget Apple compiles without errors or warnings.

Issue: After iOS 18.5 release, our app is experiencing a significant increase in AVCaptureSessionInterruptionReason.videoDeviceNotAvailableWithMultipleForegroundApps errors. Details: Our camera-related code has not been updated recently.However, we've observed that the error rate has significantly increased starting from May 2025. The error rate has risen from approximately 0.02% (2 in 10,000 users) to 0.1% (1 in 1,000 users). This represents a 5x increase in error occurrence. The frequency has increased noticeably since iOS 18.5 This is affecting our app's camera functionality and user experience Questions: Are there any known changes in iOS 18.5 regarding camera access management? What are the recommended best practices to handle this interruption reason? Are there any API changes we should be aware of? Best, Shay

Device: iPhone 16 Pro Max OS: iOS 26.0.1 AVCaptureDevice.DeviceType: builtInUltraWideCamera avtiveFormat: <AVCaptureDeviceFormat: 0x10ffb9ac0 'vide'/'420v' 1440x1080, { 1- 60 fps}, photo dims:{1440x1080,2016x1512}, fov:101.022, gdc fov:103.625, binned, max zoom:94.50 (upscales @1.40), system zoom range:1.0-3.0, AF System:1, ISO:15.0-3600.0, SS:0.000023-1.000000, system exposure bias range:-2.0-2.0, supports multicam, supports CS RoI, supports Smart Style, supports Smudge Detection> API: device.isFocusModeSupported(.continuousAutoFocus) == true setting: device.focusMode = .continuousAutoFocus setting is ok, but it's not working actually with continuousAutoFocus

I'm writing a program to control a PTZ camera connected via USB. I can get access to target camera's unique_id, and also other infos provided by AVFoundation. But I don't know how to locate my target USB device to send a UVC ControlRequest. There's many Cameras with same VendorID and ProductID connected at a time, so I need a more exact way to find out which device is my target. It looks that the unique_id provided is (locationID<<32|VendorID<<16|ProductID) as hex string, but I'm not sure if I can always assume this behavior won't change. Is there's a document declares how AVFoundation generate the unique_id for USB camera, so I can assume this convert will always work? Or is there's a way to send a PTZ control request to AVCaptureDevice? https://stackoverflow.com/questions/40006908/usb-interface-of-an-avcapturedevice I have seen this similar question. But I'm worrying that Exacting LocationID+VendorID+ProductID from unique_id seems like programming to implementation instead of interface. So, if there's any other better way to control my camera? here's my example code for getting unique_id: // // camera_unique_id_test.mm // // 测试代码：使用C++获取当前系统摄像头的AVCaptureDevice unique_id // // 编译命令: // clang++ -framework AVFoundation -framework CoreMedia -framework Foundation // camera_unique_id_test.mm -o camera_unique_id_test // #include <iostream> #include <string> #include <vector> #import <AVFoundation/AVFoundation.h> #import <Foundation/Foundation.h> struct CameraInfo { std::string uniqueId; }; std::vector<CameraInfo> getAllCameraDevices() { std::vector<CameraInfo> cameras; @autoreleasepool { NSArray<AVCaptureDevice*>* devices = [AVCaptureDevice devicesWithMediaType:AVMediaTypeVideo]; AVCaptureDevice* defaultDevice = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo]; // 遍历所有设备 for (AVCaptureDevice* device in devices) { CameraInfo info; // 获取unique_id info.uniqueId = std::string([device.uniqueID UTF8String]); cameras.push_back(info); } } return cameras; } int main(int argc, char* argv[]) { std::vector<CameraInfo> cameras = getAllCameraDevices(); for (size_t i = 0; i < cameras.size(); i++) { const CameraInfo& camera = cameras[i]; std::cout << " 设备 " << (i + 1) << ":" << std::endl; std::cout << " unique_id: " << camera.uniqueId << std::endl; } return 0; } and here's my code for UVC control: // clang++ -framework Foundation -framework IOKit uvc_test.cpp -o uvc_test #include <iostream> #include <CoreFoundation/CoreFoundation.h> #include <IOKit/IOCFPlugIn.h> #include <IOKit/IOKitLib.h> #include <IOKit/IOMessage.h> #include <IOKit/usb/IOUSBLib.h> #include <IOKit/usb/USB.h> CFStringRef CreateCFStringFromIORegistryKey(io_service_t ioService, const char* key) { CFStringRef keyString = CFStringCreateWithCString(kCFAllocatorDefault, key, kCFStringEncodingUTF8); if (!keyString) return nullptr; CFStringRef result = static_cast<CFStringRef>( IORegistryEntryCreateCFProperty(ioService, keyString, kCFAllocatorDefault, kIORegistryIterateRecursively)); CFRelease(keyString); return result; } std::string GetStringFromIORegistry(io_service_t ioService, const char* key) { CFStringRef cfString = CreateCFStringFromIORegistryKey(ioService, key); if (!cfString) return ""; char buffer[256]; Boolean success = CFStringGetCString(cfString, buffer, sizeof(buffer), kCFStringEncodingUTF8); CFRelease(cfString); return success ? std::string(buffer) : std::string(""); } uint32_t GetUInt32FromIORegistry(io_service_t ioService, const char* key) { CFStringRef keyString = CFStringCreateWithCString(kCFAllocatorDefault, key, kCFStringEncodingUTF8); if (!keyString) return 0; CFNumberRef number = static_cast<CFNumberRef>( IORegistryEntryCreateCFProperty(ioService, keyString, kCFAllocatorDefault, kIORegistryIterateRecursively)); CFRelease(keyString); if (!number) return 0; uint32_t value = 0; CFNumberGetValue(number, kCFNumberSInt32Type, &value); CFRelease(number); return value; } int main() { // Get matching dictionary for USB devices CFMutableDictionaryRef matchingDict = IOServiceMatching(kIOUSBDeviceClassName); // Get iterator for matching services io_iterator_t serviceIterator; IOServiceGetMatchingServices(kIOMasterPortDefault, matchingDict, &serviceIterator); // Iterate through matching devices io_service_t usbService; while ((usbService = IOIteratorNext(serviceIterator))) { uint32_t locationId = GetUInt32FromIORegistry(usbService, "locationID"); uint32_t vendorId = GetUInt32FromIORegistry(usbService, "idVendor"); uint32_t productId = GetUInt32FromIORegistry(usbService, "idProduct"); IOCFPlugInInterface** plugInInterface = nullptr; IOUSBDeviceInterface** deviceInterface = nullptr; SInt32 score; // Get device plugin interface IOCreatePlugInInterfaceForService(usbService, kIOUSBDeviceUserClientTypeID, kIOCFPlugInInterfaceID, &plugInInterface, &score); // Get device interface (*plugInInterface) ->QueryInterface(plugInInterface, CFUUIDGetUUIDBytes(kIOUSBDeviceInterfaceID), (LPVOID*)&deviceInterface); (*plugInInterface)->Release(plugInInterface); // Try to find UVC control interface using CreateInterfaceIterator io_iterator_t interfaceIterator; IOUSBFindInterfaceRequest interfaceRequest; interfaceRequest.bInterfaceClass = kUSBVideoInterfaceClass; // 14 interfaceRequest.bInterfaceSubClass = kUSBVideoControlSubClass; // 1 interfaceRequest.bInterfaceProtocol = kIOUSBFindInterfaceDontCare; interfaceRequest.bAlternateSetting = kIOUSBFindInterfaceDontCare; (*deviceInterface) ->CreateInterfaceIterator(deviceInterface, &interfaceRequest, &interfaceIterator); (*deviceInterface)->Release(deviceInterface); io_service_t usbInterface = IOIteratorNext(interfaceIterator); IOObjectRelease(interfaceIterator); if (usbInterface) { std::cout << "Get UVC device with:" << std::endl; std::cout << "locationId: " << std::hex << locationId << std::endl; std::cout << "vendorId: " << std::hex << vendorId << std::endl; std::cout << "productId: " << std::hex << productId << std::endl << std::endl; IOObjectRelease(usbInterface); } IOObjectRelease(usbService); } IOObjectRelease(serviceIterator); }

Hi, We have created an app which allows recording 4K 60 fps videos in the app. We have noted that some time the recording switched to 20 fps (the value 20 is constant) even though the resolution settings is at 4K 60fps. We are using AVCaptureDevice to invoke the camera. has anyone experienced this problem before ? What is unique to 20 fps? Why does it resort to 20 fps from 60 fps and why not to other numbers ?

Hi everyone, We're encountering an unexpected issue with our iPhone-only camera app: 👉 TimeMark - Photo Proof https://apps.apple.com/us/app/timemark-photo-proof/id6446071834 Problem Description: Our app uses a full-screen camera view via AVCaptureSession. In some cases reported by users, the camera fails immediately upon app launch, and we receive this interruption reason: AVCaptureSessionInterruptionReasonVideoDeviceNotAvailableWithMultipleForegroundApps According to the Apple documentation https://developer.apple.com/documentation/avfoundation/avcapturesession/interruptionreason/videodevicenotavailablewithmultipleforegroundapps?language=objc , this interruption typically occurs when the app is running in a multi-app layout such as Slide Over, Split View, or Picture in Picture — all of which are iPad-only features. However, this issue is being reported on iPhones, and our app does not support iPad at all. Also noted in the documentation: "Given your present AVCaptureSession configuration, the session may only be run if your app occupies the full screen." Additional Context: The issue occurs immediately on app launch, before the user can interact with the camera. We don’t enable multitaskingCameraAccessEnabled. We are 100% sure this is happening on iPhone, not iPad. It’s hard to reproduce; users report it happening sporadically. Locally, we tried playing Picture-in-Picture videos (e.g., Safari/YouTube) before launching our app, but we could not reproduce the issue. Questions: Why is this interruption reason occurring on iPhone, which doesn’t officially support Slide Over or Split View? Could this be caused by some system-level multitasking or resource contention (e.g., Picture in Picture from FaceTime or Safari)? Would enabling multitaskingCameraAccessEnabled help prevent this issue on iPhone, even though it's designed for iPad? Enabling multitaskingCameraAccessEnabled seems to require enabling UIBackgroundModes → voip. Would adding this background mode cause any App Store review risk or rejection if our app doesn't actually use VoIP functionality? Any help, insight, or suggestions would be greatly appreciated. Thanks in advance!

The iPhone 17’s front camera with the new 18MP square sensor and iOS 26’s Center Stage feature can auto-rotate between portrait and landscape like the native iOS Camera app. Is there a Swift or AVFoundation API that allows developers to manually control front camera orientation in the same way the native Camera app does? Or is this auto-rotation strictly handled by the system without public API access?

Where can I find the documentation of the Genlock feature of the iPhone 17 Pro? How does it work and how can I use it in my app?

In what scenario will an app receive the limitExceeded PHPhotosError code? This case was added in iOS 26.1 and is not currently documented. What PhotoKit APIs can encounter this error and how should it be handled?

Hi, I'm a fan of the gallery in vision pro which has video as well as still photography but I'm wondering if Apple has considered adding the projected media tags to heic so that we can go that next step from Spatial photos to Immersive photos. I have a device that can give me 12k x 6k fisheye images in HDR, but it can't do it at a framerate or resolution that's good enough for video, so I want to cut my losses and show off immersive photos instead. Is there something Apple is already working on for APMP stills or should I create my own app that reads metadata inside a HEIC that I infer in a similar way to the demo "ProjectedMediaConversion" is doing for Video. It would be great to have 180VR photos, which could show as Spatial in a gallery view, but going immersive would half-surround you instead of floating in the blurred view. I think that would be a pretty amazing effect.

iPhone7 : iOS 14.0 Beta 5 Xcode-beta Mac OS : 10.15.5 (19F101) crash info : ** Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: '-[PHPhotoLibrary presentLimitedLibraryPickerFromViewController:]: unrecognized selector sent to instance xxxxxx' terminating with uncaught exception of type NSException my code: (void)viewDidAppear:(BOOL)animated {   [super viewDidAppear:animated];   if (@available(iOS 14, *)) {     [[PHPhotoLibrary sharedPhotoLibrary] presentLimitedLibraryPickerFromViewController:self];   } }

I have the main app that saves preferences to UserDefaults.standard. So I have this one preference that the user is able to toggle - isRawOn UserDefaults.standard.set(self.isRawOn, forKey: "isRawOn") Now, I have LockedCameraCaptureExtension which is required know if that above setting on or off during launch. Also if it's toggled within the extension, the main app should know about it on the next launch. The main app and the extension runs on separate containers and the preferences are not shared due to privacy reasons. Apple mentions of using appContext of CameraCaptureIntent, but not sure how above scenario is possible through that....unless I am missing something. Apple Reference What I have for CameraCaptureIntent: @available(iOS 18, *) struct LaunchMyAppControlIntent: CameraCaptureIntent { typealias AppContext = MyAppContext static let title: LocalizedStringResource = "LaunchMyAppControlIntent" static let description = IntentDescription("Capture photos with MyApp.") @MainActor func perform() async throws -> some IntentResult { .result() } }

In my app, I use api provided in Photos framework to delete specified photo. But after upgrading to iOS 26, the delete function in some iOS device no longer work. The api will never triggers the system confirmation dialog, and the completionHandler is never called. In the iOS Photos app, deletion works correctly on the same assets, but calling the API from my app does not work. Steps to Reproduce Make sure the app has Full Photo Library Access. Execute the following code: PHPhotoLibrary.shared().performChanges({ let assetsToBeDeleted = PHAsset.fetchAssets(withLocalIdentifiers: delUrls, options: nil) PHAssetChangeRequest.deleteAssets(assetsToBeDeleted) }, completionHandler: completionHandler) Expected Behavior The system should present a confirmation dialog asking the user to delete the selected photos. After the user confirms, the deletion should occur, and the completionHandler should be called with success or error. Actual Behavior The system delete confirmation dialog does not appear. The completionHandler is never called. Environment iOS Versions: 26.1 / 26.0.1 It looks like api bug. I want to check Is it a know issue and will be fixed. Thanks

Fundamentally, my questions are: is there a known transform I can apply onto a given (pixel) position (passed into a Metal Fragment Function) to correctly sample a texture provided by the main cameras + processed by a Vision request. If so, what is it? If not, how can I accurately sample my masks? My goal is to highlight people in a Vision Pro app using Compositor Services. To start, I asynchronously receive camera frames for the main left and right cameras. This is the breakdown of the specific CameraVideoFormat I pass along to the CameraFrameProvider: minFrameDuration: 0.03 maxFrameDuration: 0.033333335 frameSize: (1920.0, 1080.0) pixelFormat: 875704422 cameraType: main cameraPositions: [left, right] cameraRectification: mono From each camera frame sample, I extract the left and right buffers (CVReadOnlyPixelBuffer.withUnsafebuffer ==> CVPixelBuffer). I asynchronously process the extracted buffers by performing a VNGeneratePersonSegmentationRequest on both of them: // NOTE: This block of code and all following code blocks contain simplified representations of my code for clarity's sake. var request = VNGeneratePersonSegmentationRequest() request.qualityLevel = .balanced request.outputPixelFormat = kCVPixelFormatType_OneComponent8 ... let lHandler = VNSequenceRequestHandler() let rHandler = VNSequenceRequestHandler() ... func processBuffers() async { try lHandler.perform([request], on: lBuffer) guard let lMask = request.results?.first?.pixelBuffer else {...} try rHandler.perform([request], on: rBuffer) guard let rMask = request.results?.first?.pixelBuffer else {...} appModel.latestPersonMasks = (lMask, rMask) } I store the two resulting CVPixelBuffers in my appModel. For both of these buffers aka grayscale masks: width (in pixels) = 512 height (in pixels) = 384 byters per row = 512 plane count = 0 pixel format type = 1278226488 I am using Compositor Services to render my content in Immersive Space. My implementation of Compositor Services is based off of the same code from Interacting with virtual content blended with passthrough. Within the Shaders.metal, the tint's Fragment Shader is now passed the grayscale masks (converted from CVPixelBuffer to MTLTexture via CVMetalTextureCacheCreateTextureFromImage() at the beginning of the main render pipeline). fragment float4 tintFragmentShader( TintInOut in [[stage_in]], ushort amp_id [[amplification_id]], texture2d<uint> leftMask [[texture(0)]], texture2d<uint> rightMask [[texture(1)]] ) { if (in.color.a <= 0.0) { discard_fragment(); } float2 uv; if (amp_id == 0) { // LEFT uv = ??????????????????????; } else { // RIGHT uv = ??????????????????????; } constexpr sampler linearSampler (mip_filter::linear, mag_filter::linear, min_filter::linear); // Sample the PersonSegmentation grayscale mask float maskValue = 0.0; if (amp_id == 0) { // LEFT if (leftMask.get_width() > 0) { maskValue = rightMask.sample(linearSampler, uv).r; } } else { // RIGHT if (rightMask.get_width() > 0) { maskValue = rightMask.sample(linearSampler, uv).r; } } if (maskValue > 250) { return (1.0, 1.0, 1.0, 0.5) } return in.color; } I need to correctly sample the masks for a given fragment. The LayerRenderer.Layout is set to .layered. From Developer Documentation. A layout that specifies each view’s content as a slice of a single texture. Using the Metal debugger, I know that the final render target texture for each view / eye is 1888 x 1792 pixels, giving an aspect ratio of 59:56. The initial CVPixelBuffer provided by the main left and right cameras is 1920x1080 (16:9). The grayscale CVPixelBuffer returned by the VNPersonSegmentationRequest is 512x384 (4:3). All of these aspect ratios are different. My questions come down to: is there a known transform I can apply onto a given (pixel) position to correctly sample a texture provided by the main cameras + processed by a Vision request. If so, what is it? If not, how can I accurately sample my masks? Within the tint's Vertex Shader, after applying the modelViewProjectionMatrix, I have tried every version I have been able to find that takes the pixel space position (= vertices[vertexID].position.xy) and the viewport size (1888x1792) to compute the correct clip space position (maybe = pixel space position.xy / (viewport size * 0.5)???) of the grayscale masks but nothing has worked. The "highlight" of the person segmentations is off: scaled a little too big, offset little to far up and off to the side.

we are working on HDR images and found this problem, asset.mediaSubtypes.contains(.photoHDR) always return false func picker(_ picker: PHPickerViewController, didFinishPicking results: [PHPickerResult]) { guard !results.isEmpty else {return} let fetchResult = PHAsset.fetchAssets(withLocalIdentifiers: results.map({$0.assetIdentifier!}), options: nil) var selectedAssets:[PHAsset] = [] fetchResult.enumerateObjects { asset, _, _ in selectedAssets.append(asset) } for i in selectedAssets.enumerated() { let asset:PHAsset = i.element print("\(i.offset): ") print(PHAssetMediaSubtype.photoHDR.rawValue) print(asset.mediaSubtypes) print("photoHDR \(PHAssetMediaSubtype.photoHDR.rawValue): \(asset.mediaSubtypes.contains(.photoHDR))") print("photoLive \(PHAssetMediaSubtype.photoLive.rawValue): \(asset.mediaSubtypes.contains(.photoLive))") print("photoPanorama \(PHAssetMediaSubtype.photoPanorama.rawValue): \(asset.mediaSubtypes.contains(.photoPanorama))") print("photoScreenshot \(PHAssetMediaSubtype.photoScreenshot.rawValue): \(asset.mediaSubtypes.contains(.photoScreenshot))") print("videoHighFrameRate \(PHAssetMediaSubtype.videoHighFrameRate.rawValue): \(asset.mediaSubtypes.contains(.videoHighFrameRate))") print("videoScreenRecording \(PHAssetMediaSubtype.videoScreenRecording.rawValue): \(asset.mediaSubtypes.contains(.videoScreenRecording))") } }

Problem Description (1) I am using ARKit in an iOS app to provide AR capabilities. Specifically, I'm trying to use the ARSession's captureHighResolutionFrame(using:) method to capture a high-resolution frame along with its corresponding depth data: open func captureHighResolutionFrame(using photoSettings: AVCapturePhotoSettings?) async throws -> ARFrame (2) However, when I attempt to do so, the call fails at runtime with the following error, which I captured from the Xcode debugger: [AVCapturePhotoOutput capturePhotoWithSettings:delegate:] settings.depthDataDeliveryEnabled must be NO if self.isDepthDataDeliveryEnabled is NO Code Snippet Explanation (1) ARConfig and ARSession Initialization The following code configures the ARConfiguration and ARSession. A key part of this setup is setting the videoFormat to the one recommended for high-resolution frame capturing, as suggested by the documentation. func start(imagesDirectory: URL, configuration: Configuration = Configuration()) { // ... basic setup ... let arConfig = ARWorldTrackingConfiguration() arConfig.planeDetection = [.horizontal, .vertical] // Enable various frame semantics for depth and segmentation if ARWorldTrackingConfiguration.supportsFrameSemantics(.smoothedSceneDepth) { arConfig.frameSemantics.insert(.smoothedSceneDepth) } if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth) { arConfig.frameSemantics.insert(.sceneDepth) } if ARWorldTrackingConfiguration.supportsFrameSemantics(.personSegmentationWithDepth) { arConfig.frameSemantics.insert(.personSegmentationWithDepth) } // Set the recommended video format for high-resolution captures if let videoFormat = ARWorldTrackingConfiguration.recommendedVideoFormatForHighResolutionFrameCapturing { arConfig.videoFormat = videoFormat print("Enabled: High-Resolution Frame Capturing by selecting recommended video format.") } arSession.run(arConfig, options: [.resetTracking, .removeExistingAnchors]) // ... } (2) Capturing the High-Resolution Frame The code below is intended to manually trigger the capture of a high-resolution frame. The goal is to obtain both a high-resolution color image and its associated high-resolution depth data. To achieve this, I explicitly set the isDepthDataDeliveryEnabled property of the AVCapturePhotoSettings object to true. func requestImageCapture() async { // ... guard statements ... print("Manual image capture requested.") if #available(iOS 16.0, *) { // Assuming 16.0+ for this API if let defaultSettings = arSession.configuration?.videoFormat.defaultPhotoSettings { // Create a mutable copy from the default settings, as recommended let photoSettings = AVCapturePhotoSettings(from: defaultSettings) // Explicitly enable depth data delivery for this capture request photoSettings.isDepthDataDeliveryEnabled = true do { let highResFrame = try await arSession.captureHighResolutionFrame(using: photoSettings) print("Successfully captured a high-resolution frame.") if let initialDepthData = highResFrame.capturedDepthData { // Process depth data... } else { print("High-resolution frame was captured, but it contains no depth data.") } } catch { // The exception is caught here print("Error capturing high-resolution frame: \(error.localizedDescription)") } } } // ... } Issue Confirmation & Question (1) Through debugging, I have confirmed the following behavior: If I call captureHighResolutionFrame without providing the photoSettings parameter, or if photoSettings.isDepthDataDeliveryEnabled is set to false, the method successfully returns a high-resolution ARFrame, but its capturedDepthData is nil. (2) The error message clearly indicates that settings.depthDataDeliveryEnabled can only be true if the underlying AVCapturePhotoOutput instance's own isDepthDataDeliveryEnabled property is also true. (3) However, within the context of ARKit and ARSession, I cannot find any public API that would allow me to explicitly access and configure the underlying AVCapturePhotoOutput instance that ARSession manages. (4) My question is: Is there a way to configure the ARSession's internal AVCapturePhotoOutput to enable its isDepthDataDeliveryEnabled property? Or, is simultaneously capturing a high-resolution frame and its associated depth data simply not a supported use case in the current ARKit framework?

The introduction of PHBackgroundResourceUploadExtension is a welcome addition in iOS 26.1. I wonder however, how to attach a debugger and actually get the system to call the process() method of the extension. I tried to run the extension both inside photos app (and also the main app for testing), but when I take a photo or add photos to the library (saving), the process() method does never get called. Any hints would be appreciated to debug the PHBackgroundResourceUploadExtension during development.

1.May I ask if the Background Upload can run normally in the Release version of ios 26.1? I used the Release version of ios 26.1 for debugging and found that the background upload couldn't be triggered for a long time. I debugged in ios 26.2 and found that background upload could be triggered normally, but kept triggering an Error: "Error returned from daemon: error Domain=com.apple.accounts Code=7 "(null)"