(Note: this is part 1 of a 3 part posting. See Part 2 or Part 3) At WWDC25 we launched a new type of Lab event for the developer community - Group Labs. A Group Lab is a panel Q&A designed for a large audience of developers. Group Labs are a unique opportunity for the community to submit questions directly to a panel of Apple engineers and designers. Here are the highlights from the WWDC25 Group Lab for Camera & Photos. WWDC25 Camera & Photos group lab ran for one hour at 6 PM PST on Tuesday June 10th, 2025 Introductory kick-off questions Question 1 Tell us a little about the new AVFoundation Capture APIs we've made available in the new iOS 26 developer preview? Cinematic Capture API (strong/weak focus, tracking focus)(scene monitoring)(simulated aperture)(dog/cat heads/groupIDs) Camera Controls and AirPod Stem Clicks Spatial Audio and Studio Quality AirPod Mics in Camera Lens Smudge Detection Exposure and Focus Rect of Interest Question 2 I built QR code scanning into my app, but on newer iPhones I have to hold the phone very far away from the QR code, otherwise the image is blurry and it doesn't scan. Why is this happening and how can I fix it? Every year, the cameras get better and better as we push the state of the art on iPhone photography and videography. This sometimes results in changes to the characteristics of the lenses. min focus distance newer phones have multiple lenses automatic switching behavior Use virtual device like the builtInDualWide or built in Triple, rather than just the builtInWide Set the videoZoomFactor to 2. You're done. Question 3 Last year, we saw some exciting new APIs introduced in AVFoundation in the health space. With Constant Color photography, developers can take pictures that have constant color regardless of ambient lighting. There are some further advancements this year. Davide, could you tell us about them? constant color photography is mean to remove the "tone mapping" applied to photograph captured with camera app, usually incldsuing artistic intent, and instead try to be a close as possible to the real color of the scene, regardless of the illumination constant color images could be captured in HEIF anf JPEG laste year. this year we are adding Support for the DICOM medical imaging photo format. It is a fomrat used by the health industry to store images related to medical subjects like MRI, skin problems, xray and so on. It's writable and also readable format on all OS26, supported through AVCapturePhotoOutput APIs and through the coregraphics api. for coregrapphics there is a new DICOM entry in the property dictionary which includes all the dicom availbale and defined propertie in a file. finder will also display all those in the info panel (Address why a developer would want to use it) - not for regualr picture taking apps. for those HEIF and JPEG are the preferred delivery format. use dicom if your app produces output that are health related, that you can also share with health providers or your doctors Main session developer questions Question 1 LiDAR vs. Dual Camera depth generation: Which resolution does the LiDAR sensor natively have (iPhone 16 Pro) and when to prefer LiDAR over Dual Camera? Both report formats with output resolutions (we don't advertise sensor resolution) Lidar vs Dual, etc: Lidar: Best for absolute depth, real world scale and computer vision Dual, etc: relative, disparity-based, less power, photo effects Also see: 2022 WWDC session "Discovery advancements in iOS camera capture: Depth, focus and multitasking" Question 2 Can true depth and lidar camera run at 60fps? Lidar can do 30fps (edited) Front true depth can do 60fps. Question 3 What’s the first class way to use PhotoKit to reimplement a high performance photo grid? We’ve been using a LazyVGrid and the photos caching manager, but are never able to hit the holy trinity (60hz, efficient memory footprint, minimal flashes of placeholder/empty cells) use the PHCachingImageManager to get media content delivered before you need to display it specify the size you need for grid sized display set the options PHVideoRequestOptionsDeliveryModeFastFormat, PHImageRequestOptionsDeliveryModeFastFormat and PHImageRequestOptionsResizeModeFast Question 4 For rending live preview of video stream, Is there performance overhead from using async and Swift UI for image updates vs UIViewRepresentable + AVCaptureVideoPreviewLayer.self? AVCaptureVideoPreviewLayer is the most efficient display path Use VDO + AVSampleBufferDisplayLayer if you need to modify the image data Swift UI image is optimized for static image content Question 5 Is there a way to configure the AVFoundation BuiltInLiDarDepthCamera mode to provide a depth map as accurate as ARKit at close range? The AVCaptureDepthDataOutput supports filtering that reduces noise and fills in invalid values. Consider using this for smoother depth maps Question 6 Pyramid-based photo editing in core image (such as adobe camera raw highlights and shadows)? First off you may want to look a the builtin filter called CIHighlightShadowAdjust Also the noise reduction in the CIRawFilter uses a pyramid-based algorithm. You can also write your own pyramid-based algorithms by taking an input image: down sample it by two multiply times using imageByApplyingAffineTransform apply additional CIKernels to each downsampled image as needed. use a custom CIKernel to combine the results. Question 7 Is the best way to integrate an in-app camera for a “non-camera” app UIImagePickerController? Yes, UIImagePickerController provides system-provided UI for capturing photos and movies. Question 8 Hello, my question is on Deferred Photo Processing? Say I have a photo capture app that adds a CIFilter to the capture. How can I take advantage of Deferred Photo Processing? Since I don’t know how to detect when the deferred captured photo is ready CIFilter can be called on the final at that point Photo will have to be re-inserted into the Photo library as adjustment Question 9 For shipping photo style assets in the app that need transparency what is the best format to use? JPEG2000? will moving to this save a lot of space comapred to PNG or other options? If you want lossless compression PNG is good and supports unpremutiplied alpha If you want lossy compression HEIF supports premutiplied or unpremutiplied alpha (Note: this is part 1 of a 3 part posting. See Part 2 or Part 3)

(Note: this is part 2 of a 3 part posting. See Part 1 or Part 3) At WWDC25 we launched a new type of Lab event for the developer community - Group Labs. A Group Lab is a panel Q&A designed for a large audience of developers. Group Labs are a unique opportunity for the community to submit questions directly to a panel of Apple engineers and designers. Here are the highlights from the WWDC25 Group Lab for Camera & Photos. WWDC25 Camera & Photos group lab ran for one hour at 6 PM PST on Tuesday June 10th, 2025 Question 10 Can we directly integrate auto-capture triggers (e.g., when image is steady or text is detected) using Vision and AVFoundation? Yes apps can use AVCaptureSession's VDO + AVCapturePhotoOutput, run vision on VDO buffers and capture photo when certain scene or text is detected. Just to be careful to run Vision on VDO buffers async so it doesn't cause frame drops. Question 11 What Camera or Photos framework features support working with images from external media, like connected cameras or SD cards? Any best practices? The ImageCaptureCore framework supports camera devices, memory cards, scanners read and write, where supported check out the docs to see how to browse connected devices, folders, files, etc. Question 12 Hi Brad, to follow up on your SwiftUI cautionary note: using AVCaptureVideoPreview inside a UIViewRepresentable, is okay, right? Thanks all for the great info! Yes, this is totally fine. AppKit or UIKit views inside appropriate SwiftUI representables should be equivalent performance Question 13 What’s the “right” way to transition media in my photos app between HDR modes? When I’m in a one-up view, we use HDR, but in other contexts (like thumbnail) we don’t want HDR. Is there a nice way to tone map? There’s a suite of new System Tone Mapper APIs in this years’ OSes CoreImage ImageKit CoreAnimation, CoreGraphics For example: CoreImage: new CISystemToneMap filter. CoreAnimation: layer.preferredDynamicRange = CADynamicRangeConstrainedHigh Using image views (NSImageView/UIImageView/SwiftUI Image/CALayer) support animations on preferredDynamicRange Can go from high to constrained to standard Tone mapping is provided by the system (CISystemToneMap for controllable example) Question 14 What is your recommendation to preprocess and upscale your depth map in order to render a realistic portrait mode image? One way to do this: the CIEdgePreserveUpsample CIFilter can be use to upsample a lower resolution depth map by using a higher resolution RGB image as a guide. Question 15 For buffering frames for later processing from real-time camera output should we prefer a AVSampleBufferDisplayLayer centered approach or AVCaptureVideoDataOutputSampleBufferDelegate centered approach? When would we use each? AVSampleBufferDisplayLayer and AVCaptureVideoDataOutputSampleBufferDelegate are used hand in hand for custom camera preview. For buffering for later processing, ensure you make copies of VDO buffers to not drop frames from the output Question 16 Hello, my question is on Deferred Photo Processing? Say I have a photo capture app that adds a CIFilter to the capture. How can I take advantage of Deferred Photo Processing? Since I don’t know how to detect when the deferred captured photo is ready CIFilter can be called on the final at that point Photo will have to be re-inserted into the Photo library as adjustment Question 17 Is digital zoom (e.g., 1.5x) before taking a photo the same as cropping the photo afterward? digital zoom upscales the image to output dimensions and cropping will yield a smaller output image while digital zoom will crop, it also upscales Question 18 How do you design camera interfaces that work for both casual users and photography enthusiasts? Progressive disclosure: Put the most common controls up front, and make it easy for pros to drill down. Sensible Defaults: Choose defaults that work well for casual users, but allow those defaults to be modified for photography enthusiasts A good philosophy is: Keep the simple things easy, make the hard things possible Question 19 Recent iPhone models introduced macro mode which automatically switch between lenses to take into account of the focal distance difference. Is there official API to implement this, or should I implement them myself using LiDAR values. Using builtInTripleCamera and builtInDualWideCamera will automatically switch to macro when available Question 20 a couple of years ago at WWDC, the option of replacing a camera with a virtual camera was mentioned. How does one do that - make the “physical” camera effectively disappear, so only the virtual camera is accessible to the user? You can't prevent the built-in camera from being available to the user Question 21 Can developers now integrate custom Core ML models with Vision for on-device photo analysis more seamlessly? Yes they can, use CoreMLRequest , provide their model container Been supported for a while (iOS 18/macOS 15) For more details go to Machine Learning & AI group lab Thursday use smaller images for better performance Question 22 What would you recommend for capture of the new immersive and spatial formats? To capture Spatial Video use AVCaptureMovieFileOutput’s spatialVideoCaptureEnabled property Not all device formats support spatial capture, check AVCaptureDevice.activeFormat.spatialVideoCaptureSupported See WWDC 2024 talk “Build compelling spatial photo and video experiences” for more details Question 23 You mentioned JPEG-XL. What is the current status of support on iOS and macOS for encoding and decoding? For decoding, we support JPEG-XL files in all our OSes, regular SDR files, as well as ISO HDR files. For encoding, we only support JPEG-XL for ProRAW DNG capture in the Camera app or via third-party AVFoundation APIs. If you have any requests for improvement or new features related to JPEG-XL, please file a Feedback request using the Feedback Assistant. (Note: this is part 2 of a 3 part posting. See Part 1 or Part 3)

(Note: this is part 3 of a 3 part posting. See Part 1 or Part 2) At WWDC25 we launched a new type of Lab event for the developer community - Group Labs. A Group Lab is a panel Q&A designed for a large audience of developers. Group Labs are a unique opportunity for the community to submit questions directly to a panel of Apple engineers and designers. Here are the highlights from the WWDC25 Group Lab for Camera & Photos. WWDC25 Camera & Photos group lab ran for one hour at 6 PM PST on Tuesday June 10th, 2025 Question 24 What’s the best approach for optimizing barcode scanning using AVFoundation or Vision in low-light or angled scenarios Turn on flash in low-light scenarios Lower framerate to improve exposure and reduce noise Wait until the capture is in focus/notify your user that they need to get closer Question 25 Recent iPhone models introduced macro mode which automatically switch between lenses to take into account of the focal distance difference. Is there official API to implement this, or should I implement them myself using LiDAR values. Using builtInTripleCamera and builtInDualWideCamera will automatically switch to macro when available Question 26 Is there a way to quickly create a thumbnail after the user selects an image with PhotosPicker? File provider API Additional questions from the WWDC25 in-person labs that occurred later in the WWDC week Question 1 When should I build my custom photo picker instead of using the system one? Always start with the system picker -> try embeddable customization APIs -> fallback to custom picker for very special needs Question 2 I'm building a new camera app for pros and I want to give my users the most un-processed image possible, and the most control over the capture as possible. How can I do that with AVCapture? If stills, Brief Bayer RAW capture overview, or Pro RAW if you want Apple's processing and dynamic range If video, talk about prores LOG. Custom exposure settings are available throguh the apis maybe global/local tonemapping discussion?

So I've spent the last five years optimizing my video AI system so that it runs with less than 5% CPU while processing a 30fps video feed on a Macbook Pro M2, and everything is great, until Sonoma comes out, and I find myself consuming 40% CPU for the exact same workload. So I fire up Instruments, and the "heaviest stack trace" (see screenshot) turns out to be Espresso doing some completely unasked-for and absolutely useless processing on my video frames. I turn off Reactions, but nothing helps - the CPU consumptions stays at 40%. "Reactions" is nothing but a useless toy to please some WWDC keynote fanboys, I don't want it anywhere near my app or my users, and I especially do not want to take the blame for it pissing away the user's CPU cycles and battery. Now, how do I make it go away, for ever? Best regards Jacob

I'm developing an iOS app using DockKit to control a motorized stand. I've noticed that as the zoom factor of the AVCaptureDevice increases, the stand's movement becomes increasingly erratic up and down, almost like a pendulum motion. I'm not sure why this is happening or how to fix it. Here's a simplified version of my tracking logic: func trackObject(_ boundingBox: CGRect, _ dockAccessory: DockAccessory) async throws { guard let device = AVCaptureDevice.default(for: .video), let input = try? AVCaptureDeviceInput(device: device) else { fatalError("Camera not available") } let currentZoomFactor = device.videoZoomFactor let dimensions = device.activeFormat.formatDescription.dimensions let referenceDimensions = CGSize(width: CGFloat(dimensions.width), height: CGFloat(dimensions.height)) let intrinsics = calculateIntrinsics(for: device, currentZoom: Double(currentZoomFactor)) let deviceOrientation = UIDevice.current.orientation let cameraOrientation: DockAccessory.CameraOrientation = { switch deviceOrientation { case .landscapeLeft: return .landscapeLeft case .landscapeRight: return .landscapeRight case .portrait: return .portrait case .portraitUpsideDown: return .portraitUpsideDown default: return .unknown } }() let cameraInfo = DockAccessory.CameraInformation( captureDevice: input.device.deviceType, cameraPosition: input.device.position, orientation: cameraOrientation, cameraIntrinsics: useIntrinsics ? intrinsics : nil, referenceDimensions: referenceDimensions ) let observation = DockAccessory.Observation( identifier: 0, type: .object, rect: boundingBox ) let observations = [observation] try await dockAccessory.track(observations, cameraInformation: cameraInfo) } func calculateIntrinsics(for device: AVCaptureDevice, currentZoom: Double) -> matrix_float3x3 { let dimensions = CMVideoFormatDescriptionGetDimensions(device.activeFormat.formatDescription) let width = Float(dimensions.width) let height = Float(dimensions.height) let diagonalPixels = sqrt(width * width + height * height) let estimatedFocalLength = diagonalPixels * 0.8 let fx = Float(estimatedFocalLength) * Float(currentZoom) let fy = fx let cx = width / 2.0 let cy = height / 2.0 return matrix_float3x3( SIMD3<Float>(fx, 0, cx), SIMD3<Float>(0, fy, cy), SIMD3<Float>(0, 0, 1) ) } I'm calling this function regularly (10-30 times per second) with updated bounding box information. The erratic movement seems to worsen as the zoom factor increases. Questions: Why might increasing the zoom factor cause this erratic movement? I'm currently calculating camera intrinsics based on the current zoom factor. Is this approach correct, or should I be doing something differently? Are there any other factors I should consider when using DockKit with a variable zoom? Could the frequency of calls to trackRider (10-30 times per second) be contributing to the erratic movement? If so, what would be an optimal frequency? Any insights or suggestions would be greatly appreciated. Thanks!

when I get results from picker: PHPickerViewController, didFinishPicking results: [PHPickerResult]) and I load the image using itemProvider .loadFileRepresentation (the itemProvider is the NSItemProvider provided by the PHPickerResult) will the url that's returned by this method be guaranteed to have the file extension ie, "file://image.jpeg" not "file://image" I want to know if i need to just check the extension to know its file type. (FYI in case this makes a difference, im only interested in user screenshots and screenrecordings)

Hi guys, How to achieve the following feature on macOS when a USB device (Camera/Mic/Speaker) is connected: When a third-party video conferencing app is not in a meeting, ensure the app defaults to using the USB device (Camera/Mic/Speaker). When a third-party conferencing app is in a meeting, ensure the app automatically switches to the USB device (Camera/Mic/Speaker). I want to make use of IOKit extension to hidden or ignore build-in camera to realize the requirement. however the extension can't be loaded for Invalid permissions in MacOS 15.4.1, buildVersion:24E263. I also tried to run in in MacOS 14.4.1, which can be loaded but can't auto load when restart laptop as KDK version not match. Could you please give me some suggestion? Is it possible hidden build-in camera in MacOS M-series chip? Is there any other method to realize the feature. Thanks a lot.

Hi, I would like to use macro-mode for the custom camera using AVCaptureDevice in my project. This feature might help to automatically adjust and switch between lenses to get a close up clear image. It looks like this feature is not available and there are no open apis to achieve macro mode from Apple. Is there a way to get this functionality in the custom camera without losing the image quality. Please let me know if this is possible. Thanks you, Adil Thamarasseri

We observed that the PHPicker is unable to load RAW images captured on an iPhone in some scenarios. And it is also somehow related to iCloud. Here is the setup: The PHPickerViewController is configured with preferredAssetRepresentationMode = .current to avoid transcoding. The image is loaded from the item provider like this: if itemProvider.hasItemConformingToTypeIdentifier(kUTTypeImage) { itemProvider.loadFileRepresentation(forTypeIdentifier: kUTTypeImage) { url, error in // work } } This usually works, also for RAW images. However, when trying to load a RAW image that has just been captured with the iPhone, the loading fails with the following errors on the console: [claims] 43A5D3B2-84CD-488D-B9E4-19F9ED5F39EB grantAccessClaim reply is an error: Error Domain=NSCocoaErrorDomain Code=4097 "Couldn’t communicate with a helper application." UserInfo={NSUnderlyingError=0x2804a8e70 {Error Domain=NSCocoaErrorDomain Code=4097 "connection from pid 19420 on anonymousListener or serviceListener" UserInfo={NSDebugDescription=connection from pid 19420 on anonymousListener or serviceListener}}} Error copying file type public.image. Error: Error Domain=NSItemProviderErrorDomain Code=-1000 "Cannot load representation of type public.image" UserInfo={NSLocalizedDescription=Cannot load representation of type public.image, NSUnderlyingError=0x280480540 {Error Domain=NSCocoaErrorDomain Code=4097 "Couldn’t communicate with a helper application." UserInfo={NSUnderlyingError=0x2804a8e70 {Error Domain=NSCocoaErrorDomain Code=4097 "connection from pid 19420 on anonymousListener or serviceListener" UserInfo={NSDebugDescription=connection from pid 19420 on anonymousListener or serviceListener}}}}} We observed that on some devices, loading the image will actually work after a short time (~30 sec), but on others it will always fail. We think it is related to iCloud Photos: On the device that has iCloud Photos sync enabled, the picker is able to load the image right after it was synced to the cloud. On devices that don't sync the image, loading always fails. It seems that the sync process is doing some processing (?) of the image that will later enable the picker to load it successfully, but that's just guessing. Additional observations: This seems to only occur for images that were taken with the stock Camera app. When using Halide to capture RAW (either ProRAW or RAW), the Picker is able to load the image. When trying to load the image as kUTTypeRawImage instead of kUTTypeImage, it also fails. The picker also can't load RAW images that were AirDroped from another device, unless it synced to iCloud first. This is reproducable using the Selecting Photos and Videos in iOS sample code project. We observed this happening in other apps that use the PHPicker, not just ours. Is this a bug, or is there something that we are missing?

I found that when the development tool above Xcode16 ran my app, I opened the suspended inscription function, and then opened the system camera, the content in the suspended window would not be displayed, and the suspended window would have a black screen. However, this phenomenon does not appear on Xcode15.4 development tools, it is the same code, I do not know why

I am seeing a crash on iOS 18.0 in my app due to PHImageManager.default().requestImage. Same crash is seen even while using requestImageDataAndOrientation. Not sure why this is happening only on iOS 18.0. Any help on this would be appreciated. Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Subtype: KERN_INVALID_ADDRESS at 0x0000000000000010 Exception Codes: 0x0000000000000001, 0x0000000000000010 VM Region Info: 0x10 is not in any region. Bytes before following region: 4310777840 REGION TYPE START - END [ VSIZE] PRT/MAX SHRMOD REGION DETAIL UNUSED SPACE AT START ---> Termination Reason: SIGNAL 11 Segmentation fault: 11 Terminating Process: exc handler [695] Triggered by Thread: 14 Thread 14 name: Dispatch queue: */file=33) .Generic Thread 14 Crashed: 0 libobjc.A.dylib 0x1944d7020 objc_msgSend + 32 1 PhotoLibraryServices 0x1b080262c +[PLUniformTypeIdentifier utiWithCompactRepresentation:conformanceHint:] + 40 2 Photos 0x1b0081354 _resourceInfoFromResultDict + 1048 3 Photos 0x1b0080a7c fetchResourcesForChoosing + 584 4 Photos 0x1b0080714 ___fetchNonHintResources_block_invoke.227 + 152 5 PhotoLibraryServices 0x1b026b3c4 __53-[PLManagedObjectContext _directPerformBlockAndWait:]_block_invoke + 48 6 CoreData 0x19f171b00 developerSubmittedBlockToNSManagedObjectContextPerform + 228 7 libdispatch.dylib 0x19eeff584 _dispatch_client_callout + 16 8 libdispatch.dylib 0x19eef5728 _dispatch_lane_barrier_sync_invoke_and_complete + 56 9 CoreData 0x19f1c2a0c -[NSManagedObjectContext performBlockAndWait:] + 308 10 PhotoLibraryServices 0x1b026cea4 -[PLManagedObjectContext _directPerformBlockAndWait:] + 144 11 PhotoLibraryServices 0x1b026cdf8 -[PLManagedObjectContext performBlockAndWait:] + 196 12 Photos 0x1b00804a4 _fetchNonHintResources + 292 13 Photos 0x1afeedb38 PHChooserListContinueEnumerating + 144 14 Photos 0x1afeed9f8 -[PHImageResourceChooser presentNextQualifyingResource] + 412 15 Photos 0x1afeed1d0 -[PHImageRequest startRequest] + 2424 16 libdispatch.dylib 0x19eee5aac _dispatch_call_block_and_release + 32 17 libdispatch.dylib 0x19eeff584 _dispatch_client_callout + 16 18 libdispatch.dylib 0x19eeee2d0 _dispatch_lane_serial_drain + 740 19 libdispatch.dylib 0x19eeeede0 _dispatch_lane_invoke + 440 20 libdispatch.dylib 0x19eef91dc _dispatch_root_queue_drain_deferred_wlh + 292 21 libdispatch.dylib 0x19eef8a60 _dispatch_workloop_worker_thread + 540 22 libsystem_pthread.dylib 0x2214d5660 _pthread_wqthread + 292 23 libsystem_pthread.dylib 0x2214d29f8 start_wqthread + 8

Hey everyone😊, I am building an app that includes a live camera feed preview. That's all I need to do along side identifying the images with createML's image classification. I don't need to capture images at all. I've seen some very complicated tutorials. I just want to use a couple of lines of code.

Hello everyone, I am looking for a solution to programmatically, e.g. using AppleScript to import photos into the Photos library on MacOS and also push them to the shared library, like it can be done using the standard GUI of the Photos application. Maybe it is not possible using AppleScript, but using a short Swift script and PhotoKit, I do not not know. Any help is appreciated! Thomas

I am a developer working on iOS apps. In the demo, I planned to replace the local images with Heic format instead of PNG format, but the actual test results showed abnormalities on this device, while the other test devices displayed normally Heic images are converted by the built-in image conversion function on Mac. I tested multiple Heic images, but none of them were displayed and the image information returned nil,,but PNG images can be displayed normally. device information:

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 have a complex CoreImage pipeline which I'm keen to optimise. I'm aware that calling back to the CPU can have a significant impact on the performance - what is the best way to find out where this is happening?

I set both the AVCapturePhotoOutput and the AVCapturePhotoSettings with maxPhotoDimensions = .init(width: 8064, height: 6048), but still get the 12mp photo.

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?

I have an app that edits photos in your library. When I call try CIContext().writeHEIFRepresentation(of: editedImage, to: fileURL, format: .RGBA8, colorSpace: originalImage.colorSpace!) The following is logged to the console: writeImageAtIndex:1012: ⭕️ ERROR: 'App' is trying to save an opaque image (5712x4284) with 'AlphaLast'. This would unnecessarily increase the file size and will double (!!!) the required memory when decoding the image --> ignoring alpha. What does that mean and how can I resolve it? Xcode Version 16.0 (16A242d) iOS 18.1 (22B82)

Hi, After installing iPadOS18 Beta3 on my iPad 7th gen, the default camera app no ​​longer detects QR codes. I tried updating to Beta7, but the issue remained. Also, third-party apps that use AVCaptureMetadataOutput in AVFoundation Framework to detect QR codes also no longer work. You can reproduce the issue by running default camera app or the AVFoundation sample code from the Apple developer site on iPad 7th gen (iPadOS18Beta installed). https://developer.apple.com/documentation/avfoundation/capture_setup/avcambarcode_detecting_barcodes_and_faces Has anyone else experienced this issue? I would like to know if this issue occurs on other iPad models as well. This is similar to the following issue that previously occurred with iPadOS 17.4. https://support.apple.com/en-lamr/118614 https://developer.apple.com/forums/thread/748092

This is an issue with the Insta360 Flow Pro 2. My iOS app uses DockKit to control the gimbal; in particular, my app disables tracking and sends angular velocity commands to control the gimbal's orientation. I only try to modify the yaw (rotation around the vertical axis); never the pitch or yaw. Note that I don't send the gimbal to a particular orientation directly; I modify the velocity. Everything works great for a long period of time: typically for a continuous run of 4-6 hours; in the most recent case, I managed about 36 hours of continous operation before the following problem occurred. I came back to check on the system, and because no visual activity had occurred in the camera's field of view for a while, the phone had commanded the gimbal to rotate back to a yaw angle of 0 degrees. So the phone in the gimbal should have been looking straight ahead (i.e. the 0 degree yaw position), but it was definitely looking off at an angle. I've seen this twice now. The first time, when it should have been looking straight ahead, it was in fact looking 60 degrees off center. This time (caught on video, see below), it was off by 22 degrees from center. Here's the weird part: the gimbal reports this way off center positioning as zero degrees (well close enough to zero, like 0.2 or something that's fine). But, mechanically, the gimbal still knows where zero degrees is: if we double click on the trigger of the Flow Pro 2, which is supposed to reset the gimbal to 0 degrees yaw and pitch, the gimbal responds correctly and reorients to a 0 degree position. However, the yaw values it reports are not zero, but as shown in my video, 22 degrees off axis or so. Power cycling the gimbal and restarting immediately fixes the problem. Also, I switched from my app to the Insta360 app, which caused the phone to flip from landscape to portrait, then when I returned to my app and switched back to landscape, the gimbal now started reporting correct yaw angles. Is there a possibility this is a bug in the DockKit framework? Has anyone seen this? I have a case open with Insta360, but although it's clearly a software issue, it's not clear if it's in Insta360's code or the DockKit layer. Any ideas for how I can get out of this mode? My concern is that the phone is in a tripod about 10' off the floor, and not very accessible. Also, if all goes well, we may have about 50 of these systems running, and having to fix them one by one after a few hours is not good. For a demonstration of this bug, see the following video: https://octoparry.com/offset.MOV Any help greatly appreciated.

Hello, Does anyone have a recipe on how to raycast VNFaceLandmarkRegion2D points obtained from a frame's capturedImage? More specifically, how to construct the "from" parameter of the frame's raycastQuery from a VNFaceLandmarkRegion2D point? Do the points need to be flipped vertically? Is there any other transformation that needs to be performed on the points prior to passing them to raycastQuery?

Can i use iokit usb lib to disable build-in camera?