I'm creating Live Photos programmatically in my app using the Photos and AVFoundation frameworks. While the Live Photos work perfectly in the Photos app (long press shows motion), users cannot set them as motion wallpapers. The system shows "Motion not available" message. Here's my approach for creating Live Photos: // 1. Create video with required metadata let writer = try AVAssetWriter(outputURL: videoURL, fileType: .mov) let contentIdentifier = AVMutableMetadataItem() contentIdentifier.identifier = .quickTimeMetadataContentIdentifier contentIdentifier.value = assetIdentifier as NSString writer.metadata = [contentIdentifier] // Video settings: 882x1920, H.264, 30fps, 2 seconds // Added still-image-time metadata at middle frame // 2. Create HEIC image with asset identifier var makerAppleDict: [String: Any] = [:] makerAppleDict["17"] = assetIdentifier // Required key for Live Photo metadata[kCGImagePropertyMakerAppleDictionary as String] = makerAppleDict // 3. Generate Live Photo PHLivePhoto.request( withResourceFileURLs: [photoURL, videoURL], placeholderImage: nil, targetSize: .zero, contentMode: .aspectFit ) { livePhoto, info in // Success - Live Photo created } // 4. Save to Photos library PHAssetCreationRequest.forAsset().addResource(with: .photo, fileURL: photoURL, options: nil) PHAssetCreationRequest.forAsset().addResource(with: .pairedVideo, fileURL: videoURL, options: nil) What I've Tried Matching exact video specifications from Camera app (882x1920, H.264, 30fps) Adding all documented metadata (content identifier, still-image-time) Testing various video durations (1.5s, 2s, 3s) Different image formats (HEIC, JPEG) Comparing with exiftool against working Live Photos Expected Behavior Live Photos created programmatically should be eligible for motion wallpapers, just like those from the Camera app. Actual Behavior System shows "Motion not available" and only allows setting as static wallpaper. Any insights or workarounds would be greatly appreciated. This is affecting our users who want to use their created content as wallpapers. Questions Are there additional undocumented requirements for Live Photos to be wallpaper-eligible? Is this a deliberate restriction for third-party apps, or a bug? Has anyone successfully created Live Photos that work as motion wallpapers? Environment iOS 17.0 - 18.1 Xcode 16.0 Tested on iPhone 16 Pro

I'm trying to apply a CIBumpDistortion Core Image filter to a view that contains a UILabel (my storyLabel). The goal is to create a visual bump/magnifying glass effect over the text. However, despite my attempts, the filter doesn't seem to render at all. The view and the label appear as normal, with no distortion effect. I've tried adjusting the filter parameters and reviewing the view hierarchy, but without success. I also haven't been able to find clear documentation or examples for applying this filter to a UIView's layer. // // TVView.swift // Mistery // // Created by Joje on 31/07/25. // import CoreImage import CoreImage.CIFilterBuiltins import UIKit import AVFoundation final class TVView: UIView { // propriedades animacao texto private var textAnimationTimer: Timer? private var fullTextToAnimate: String = "" private var currentCharIndex: Int = 0 // propriedades video estatica private var player: AVQueuePlayer? private var playerLayer: AVPlayerLayer? private var playerLooper: AVPlayerLooper? var onNextButtonTap: () -> Void = {} // MARK: - Subviews // imagem da TV private(set) lazy var tvImageView: UIImageView = { let imageView = UIImageView() imageView.translatesAutoresizingMaskIntoConstraints = false imageView.image = UIImage(named: "tvFinal") imageView.contentMode = .scaleAspectFit return imageView }() // texto que passa dentro da TV private(set) lazy var storyLabel: UILabel = { let label = UILabel() label.translatesAutoresizingMaskIntoConstraints = false //label.backgroundColor = .gray label.textColor = .red label.font = UIFont(name: "MeltedMonster", size: 30) label.textAlignment = .left label.numberOfLines = 0 label.text = "" return label }() private(set) lazy var nextButton: UIButton = { let button = UIButton(type: .system) button.translatesAutoresizingMaskIntoConstraints = false //button.backgroundColor = .darkGray button.addTarget(self, action: #selector(didPressNextButton), for: .touchUpInside) return button }() // MARK: - Lifecycle override init(frame: CGRect) { super.init(frame: frame) backgroundColor = .black setupVideoPlayer() addSubviews() setupConstraints() } override func layoutSubviews() { super.layoutSubviews() playerLayer?.frame = tvImageView.frame.insetBy(dx: tvImageView.frame.width * 0.05, dy: tvImageView.frame.height * 0.18) setupFisheyeEffect() } private func setupFisheyeEffect() { // cria o filtro guard let filter = CIFilter(name: "CIBumpDistortion") else {return print("erro")} storyLabel.layer.shouldRasterize = true storyLabel.layer.rasterizationScale = UIScreen.main.scale // define os parametros filter.setDefaults() // centro do efeito let center = CIVector(x: storyLabel.bounds.midX, y: storyLabel.bounds.midY) filter.setValue(center, forKey: kCIInputCenterKey) // raio de distorção filter.setValue(storyLabel.bounds.width, forKey: kCIInputRadiusKey) // intensidade de distorção filter.setValue(7, forKey: kCIInputScaleKey) storyLabel.layer.filters = [filter] } required init?(coder: NSCoder) { fatalError("init(coder:) has not been implemented") } // MARK: - Button actions @objc private func didPressNextButton() { onNextButtonTap() } @objc private func animateNextCharacter() { guard currentCharIndex < fullTextToAnimate.count else { textAnimationTimer?.invalidate() return } let currentTextIndex = fullTextToAnimate.index(fullTextToAnimate.startIndex, offsetBy: currentCharIndex) let partialText = String(fullTextToAnimate[...currentTextIndex]) storyLabel.text = partialText currentCharIndex += 1 } public func updateStoryText(with text: String) { textAnimationTimer?.invalidate() storyLabel.text = "" fullTextToAnimate = text currentCharIndex = 0 textAnimationTimer = Timer.scheduledTimer(timeInterval: 0.12, target: self, selector: #selector(animateNextCharacter), userInfo: nil, repeats: true) } // MARK: - Setup methods private func setupVideoPlayer() { guard let videoURL = Bundle.main.url(forResource: "static-video", withExtension: "mov") else { print("Erro: Não foi possível encontrar o arquivo de vídeo static-video.mov") return } let playerItem = AVPlayerItem(url: videoURL) player = AVQueuePlayer(playerItem: playerItem) // LINHA COM POSSIVEL ERRO playerLooper = AVPlayerLooper(player: player!, templateItem: playerItem) playerLayer = AVPlayerLayer(player: player) playerLayer?.videoGravity = .resizeAspectFill if let layer = playerLayer { self.layer.addSublayer(layer) } player?.play() } private func addSubviews() { self.addSubview(storyLabel) self.addSubview(tvImageView) self.addSubview(nextButton) } private func setupConstraints() { NSLayoutConstraint.activate([ // TV Image tvImageView.centerXAnchor.constraint(equalTo: centerXAnchor), tvImageView.centerYAnchor.constraint(equalTo: centerYAnchor), tvImageView.widthAnchor.constraint(equalTo: widthAnchor), // TV Text storyLabel.centerXAnchor.constraint(equalTo: tvImageView.centerXAnchor, constant: -50), storyLabel.centerYAnchor.constraint(equalTo: tvImageView.centerYAnchor, constant: -25), storyLabel.widthAnchor.constraint(equalTo: tvImageView.widthAnchor, multiplier: 0.35), storyLabel.heightAnchor.constraint(equalTo: tvImageView.heightAnchor, multiplier: 0.42), //TV Button nextButton.topAnchor.constraint(equalTo: tvImageView.centerYAnchor, constant: -25), nextButton.centerXAnchor.constraint(equalTo: self.centerXAnchor, constant: 190), nextButton.widthAnchor.constraint(equalToConstant: 100), nextButton.heightAnchor.constraint(equalToConstant: 160) ]) } } #Preview{ ViewController() }

Currently, I’m working on developing a small macOS utility tool for my photography. In my camera, I have a digital zoom feature. I prefer using this feature when I shoot both JPEG and DNG files. While the JPEG is already cropped to the desired format, the DNG file contains metadata (DefaultUserCrop: 0.22, 0.22, 0.78, 0.78). For instance, when I open that DNG file in Lightroom, it pre-crops the image non-destructively. However, I prefer using Pixelmator Pro for editing. Unfortunately, Pixelmator Pro doesn’t have this feature. So, I thought I could create an app that allows me to pre-crop the image for editing in Pixelmator Pro afterward. Does someone have a better idea or some hints on how I could solve it?

(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?

(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 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)

I maintain a couple of CoreImage libraries that provide custom Metal kernel backed CIFilters. In iOS/iPadOS 26, the CIColorKernel.apply() method invoked in the CIFilter subclass fails to add the coreimage::destination parameter to the Metal function call: -[CIColorKernel applyWithExtent:arguments:options:] argument count mismatch for kernel 'FractalNoise3D', expected 13 but saw 12. I've compiled the code with Xcode 26 and deployed to iOS 18 devices without any breakage, so this is definitely an iOS problem, not an Xcode problem. Library here: https://github.com/JoshuaSullivan/SimplexNoiseFilter Feedback ID: FB17874311

Some users have reported an error editing portrait photo assets in my app: The operation couldn’t be completed. (CINonLocalizedDescriptionKey error 3.) What is that error? Will affected photos always encounter this error (due to data corruption for example) or can it be resolved in a future iOS update? FB16241301

iOS 26 added smoothness to CIRoundedRectangleGenerator, for use with CIFilter.roundedRectangleGenerator. What should the smoothness value be to achieve the same corner curve as CALayerCornerCurve.continuous? Does it need to be calculated based on the extent size, if so, how?

I have a Core Image filter in my app that uses Metal. I cannot compile it because it complains that the executable tool metal is not available, but I have installed it in Xcode. If I go to the "Components" section of Xcode Settings, it shows it as downloaded. And if I run the suggested command, it also shows it as installed. Any advice? Xcode Version Version 26.0 beta (17A5241e) Build Output Showing All Errors Only Build target Lessons of project StudyJapanese with configuration Light RuleScriptExecution /Users/chris/Library/Developer/Xcode/DerivedData/StudyJapanese-glbneyedpsgxhscqueifpekwaofk/Build/Intermediates.noindex/StudyJapanese.build/Light-iphonesimulator/Lessons.build/DerivedSources/OtsuThresholdKernel.ci.air /Users/chris/Code/SerpentiSei/Shared/iOS/CoreImage/OtsuThresholdKernel.ci.metal normal undefined_arch (in target 'Lessons' from project 'StudyJapanese') cd /Users/chris/Code/SerpentiSei/StudyJapanese /bin/sh -c xcrun\ metal\ -w\ -c\ -fcikernel\ \"\$\{INPUT_FILE_PATH\}\"\ -o\ \"\$\{SCRIPT_OUTPUT_FILE_0\}\"' ' error: error: cannot execute tool 'metal' due to missing Metal Toolchain; use: xcodebuild -downloadComponent MetalToolchain /Users/chris/Code/SerpentiSei/StudyJapanese/error:1:1: cannot execute tool 'metal' due to missing Metal Toolchain; use: xcodebuild -downloadComponent MetalToolchain Build failed 6/9/25, 8:31 PM 27.1 seconds Result of xcodebuild -downloadComponent MetalToolchain (after switching Xcode-beta.app with xcode-select) xcodebuild -downloadComponent MetalToolchain Beginning asset download... Downloaded asset to: /System/Library/AssetsV2/com_apple_MobileAsset_MetalToolchain/4d77809b60771042e514cfcf39662c6d1c195f7d.asset/AssetData/Restore/022-19457-035.dmg Done downloading: Metal Toolchain (17A5241c). Screenshots from Xcode Result of "Copy Information" Metal Toolchain 26.0 [com.apple.MobileAsset.MetalToolchain: 17.0 (17A5241c)] (Installed)

We have some rather old code that worked for many years, but recently started to crash sporadically here: The crash looks like this: or Our code is called from many threads concurrently, but as said it worked without any issues until recently. I've found the apparently same crash on iOS at this Reddit post: https://www.reddit.com/r/iOSProgramming/comments/1kle4h4/ios_185_doesnt_fix_cicontext_rendering_crash/ Recap: we believe it started on macOS 18.4 and is still on macOS 18.5. But maybe it was already on macOS 18.3. This matches the observation in the Reddit post well. Should we create a feedback with sysdiagnose? Thanks! :)

Some users reported that their images are not loading correctly in our app. After a lot of debugging we identified the following: This only happens when the app is build for Mac Catalyst. Not on iOS, iPadOS, or “real” macOS (AppKit). The images in question have unusual color spaces. We observed the issue for uRGB and eciRGB v2. Those images are rendered correctly in Photos and Preview on all platforms. When displaying the image inside of a UIImageView or in a SwiftUI Image, they render correctly. The issue only occurs when loading the image via Core Image. When comparing the different Core Image render graphs between AppKit (working) and Catalyst (faulty) builds, they look identical—except for the result. Mac (AppKit): Catalyst: Something seems to be off when Core Image tries to load an image with foreign color space in Catalyst. We identified a workaround: By using a CGImageDestination to transcode the image using the kCGImageDestinationOptimizeColorForSharing option, Image I/O will convert the image to sRGB (or similar) and Core Image is able to load the image correctly. However, one potentially loses fidelity this way. Or might there be a better workaround?

Create the QRCode CIFilter<CIBlendWithMask> *f = CIFilter.QRCodeGenerator; f.message = [@"Message" dataUsingEncoding:NSASCIIStringEncoding]; f.correctionLevel = @"Q"; // increase level CIImage *qrcode = f.outputImage; Overlay the icon CIImage *icon = [CIImage imageWithURL:url]; CGAffineTransform *t = CGAffineTransformMakeTranslation( (qrcode.extent.width-icon.extent.width)/2.0, (qrcode.extent.height-icon.extent.height)/2.0); icon = [icon imageByApplyingTransform:t]; qrcode = [icon imageByCompositingOver:qrcode]; Round off the corners static dispatch_once_t onceToken; static CIWarpKernel *k; dispatch_once(&onceToken, ^ { k = [CIWarpKernel kernelWithFunctionName:name fromMetalLibraryData:metalLibData() error:nil]; }); CGRect iExtent = image.extent; qrcode = [k applyWithExtent:qrcode.extent roiCallback:^CGRect(int i, CGRect r) { return CGRectInset(r, -radius, -radius); } inputImage:qrcode arguments:@[[CIVector vectorWithCGRect:qrcode.extent], @(radius)]]; …and this code for the kernel should go in a separate .ci.metal source file: float2 bend_corners (float4 extent, float s, destination dest) { float2 p, dc = dest.coord(); float ratio = 1.0; // Round lower left corner p = float2(extent.x+s,extent.y+s); if (dc.x < p.x && dc.y < p.y) { float2 d = abs(dc - p); ratio = min(d.x,d.y)/max(d.x,d.y); ratio = sqrt(1.0 + ratio*ratio); return (dc - p)*ratio + p; } // Round lower right corner p = float2(extent.x+extent.z-s, extent.y+s); if (dc.x > p.x && dc.y < p.y) { float2 d = abs(dc - p); ratio = min(d.x,d.y)/max(d.x,d.y); ratio = sqrt(1.0 + ratio*ratio); return (dc - p)*ratio + p; } // Round upper left corner p = float2(extent.x+s,extent.y+extent.w-s); if (dc.x < p.x && dc.y > p.y) { float2 d = abs(dc - p); ratio = min(d.x,d.y)/max(d.x,d.y); ratio = sqrt(1.0 + ratio*ratio); return (dc - p)*ratio + p; } // Round upper right corner p = float2(extent.x+extent.z-s, extent.y+extent.w-s); if (dc.x > p.x && dc.y > p.y) { float2 d = abs(dc - p); ratio = min(d.x,d.y)/max(d.x,d.y); ratio = sqrt(1.0 + ratio*ratio); return (dc - p)*ratio + p; } return dc; }

I have DNG files that I want to open and show as EDR content in my app. It seems like the DNG files should have enough per pixel information to show more colors that Display P3 but whenever I load the images using CIRawFilter and then inspect the outputImage color space it is always "DisplayP3", not something like "ITU-R BT.2100 PQ" there doesn't seem to be any way to make it load with a different color space for displaying EDR images. Does this make sense for DNG files, it seems like it should? If I open the same file using CIImage with the expandToHDR option e.g. CIImage(contentsOf: rawURL, options: [.expandToHDR: true]) then it does have the desired EDR color space, but then I don't get any of the properties that are available via the CIRAWFilter class to manipulate the data. Basically I just want to be able to open the DNG file via CIRAWFilter and then display it in my SwiftUI app as an EDR image by adding the allowedDynamicRange(.high) property. Image("my-dng-image").allowedDynamicRange(.high) Or do DNG files (just RAW not ProRAW) not contain enough information to be displayed as EDR images, seems like they should.

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?

Hey, I have a camera app that captures a ProRaw photo and then runs a few Core Image filters before saving it to the device as a HEIC. However I'm finding that capturing at 48MP is rather slow. Testing a minimal pipeline on an iPhone 16 Pro: Shutter press => file received in output: 1.2 ~ 1.6s CIRawFilter created using photo file representation then rendered to context, without any filters: 0.8s ~ 1s Saving to device ~0.15s Is this the expected time for capturing processing? The native camera app seems to save the images within half a second. I'm using QualityPrioritization.balanced and the highest resolution available which is 48MP. Would using the CIRawFilter with the pixelBuffer from the photo output be faster? I tried it but couldn't get it to output an image. Are there any other things I could try to speed this up? Is it possible to capture at 24MP instead? Thanks, Alex

If you have two video segments, one HDR and one SDR, next to one another in a composition, the SDR one appears dark, since its max luminance will be lower than the max luminance of the HDR clip. iMovie handles this well by (reverse) tone mapping the SDR content to make it look HDR in an HDR composition. This is what I want to achieve. I've looked into algorithms to do this, and the best that I can find is the conversion from RGB to YCbCr described in Table 4 of BT.2020, followed by conversion method A (Section 4.2, table 4) of BT.2446-1. I have these implemented in a Core Image kernel, available at this repo. The issue that I'm seeing is that the colors are still much too hot, and while there are frames that appear close to properly tone mapped, it doesn't come close to the accuracy of iMovie's approach. If someone is an expert in colorimetry, etc., I'd really appreciate a breakdown of what I'm doing wrong here. To be specific: Assuming non-constant luminance for the YCbCr conversion Using a Metal Core Image kernel for the actual tone mapping The video composition uses Core Image filters directly The video composition is using BT.2020 colorimetry and the PQ transfer function. Below is a comparison of two screenshots, one using an unaltered HDR asset, and the other using the same asset transcoded to SDR with QuickTime, and reverse tone mapped to HDR for playback. Is there something I'm missing?

Hi, Currently I am developing a 3D reconstruction project. Which requires images to be distortion-free (rectilinear) and with known intrinsics. The session I am developing on is a builtInDualWideCamera, with isGeometricDistortionCorrectionEnabled set to false to be able to get the intrinsic matrix of the images, isVirtualDeviceConstituentPhotoDeliveryEnabled set to true and isAutoVirtualDeviceFusionEnabled set to false to get both images and isCameraCalibrationDataDeliveryEnabled set to true to actually get the calibration data. The distortion correction parameters such as lensDistortionLookupTable are used. The 42 coefficients mapping array is used as described in the AVCameraCalibrationData header file. A simple piecewise linear interpolation. There are two questions I would like to get support on: A way to set the calibration parameters in each image. I have an approach that sets the parameters in the kCGImagePropertyExifDictionary -> "UserComment". Is there a better approach to write calibration parameter data into the images? I feel like this is a bit dirty and there might be a better and neat approach. For the ultra-wide angle camera's images, the lensDistortionLookupTable contains several zeros at the end of the array. For example (last 10 elements are zero): "LensDistortionLookupTable":"0.000000000000000,0.000349554029526,0.001385628827848,0.003071037586778,... ,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000" The problem comes when the complete array is used to correct the image (including zeros), the end result is a wrapped-like-circle image close to the edges of it which is completely wrong. In contrast, if the LensDistortionLookupTable is used without the last zeros and the new size accommodated the image looks better (although not as rectilinear as if you take the image from the iPhone's camera app), but definitely less distorted. Including zeros (full array): Excluding zeros (array size changed): Am I missing an important point in the usage of the lensDistortionLookupTable where this case is addressed (zeros at the end)? What is the criteria to shrink/exclude elements of the array? Any advice is very much welcome.

Since iOS 18.3, icons are no longer generated correctly with QLThumbnailGenerator. No error is returned either. But this error message now appears in the console: Error returned from iconservicesagent image request: <ISTypeIcon: 0x3010f91a0>,Type: com.adobe.pdf - <ISImageDescriptor: 0x302f188c0> - (36.00, 36.00)@3x v:1 l:5 a:0:0:0:0 t:() b:0 s:2 ps:0 digest: B19540FD-0449-3E89-AC50-38F92F9760FE error: Error Domain=NSOSStatusErrorDomain Code=-609 "Client is disallowed from making such an icon request" UserInfo={NSLocalizedDescription=Client is disallowed from making such an icon request} Does anyone know this error? Is there a workaround? Are there new permissions to consider? Here is the code how icons are generated: let request = QLThumbnailGenerator.Request(fileAt: url, size: size, scale: scale, representationTypes: self.thumbnailType) request.iconMode = true let generator = QLThumbnailGenerator.shared generator.generateRepresentations(for: request) { [weak self] thumbnail, _, error in }

How can I implement the same custom CIFilter as a Lightroom Color Grading tool for shadows, midtones, highlights and global areas?