Photos & Camera

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Explore technical aspects of capturing high-quality photos and videos, including exposure control, focus modes, and RAW capture options.

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CoreImage memory build up on real device but not on simulator
I'm trying to benchmark a Core Image filter chains memory footprint and notice a weird quirk in instruments. On a real device, even with a simple Core Image chain, the memory balloons each time I ran the filter. See attached screen shots. Running on iPhone 17 Pro: Running on simulator (M2 Macbook Pro) As you can see there's a huge build up of 4MB "VM: IOSurface" memory on the real device, but the simulator seems to clean it up correctly. Here's my basic code: func processImage() { guard let inputImage = ContentViewModel.loadImageFromBundle(name: "kitty.HEIC") else { print("Failed to load sample_image from bundle") return } var outputImage = inputImage outputImage = outputImage.applyingFilter("CIBloom", parameters: [ kCIInputRadiusKey: 20, kCIInputIntensityKey: 0.8 ]) DispatchQueue.global(qos: .userInitiated).async { let data = self.context.jpegRepresentation(of: outputImage, colorSpace: CGColorSpace(name: CGColorSpace.sRGB)!) if let data = data, let uiImage = UIImage(data: data) { DispatchQueue.main.async { self.displayImage = Image(uiImage: uiImage) } } } } Why is this happening? Seems like a bug to me or I need to release an object. At the very least makes it challenging to measure memory usage. Any help is greatly appreciated. Alex
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iPhone 17 (Pro) App Freeze When Changing Ultra-Wide Camera Frame Rate on iOS 26.1
Device: iPhone 17 Pro iOS Version: iOS 26.1 Camera: Ultra-wide (0.5x) using AVCaptureSession Our camera app freezes on iPhone 17 when switching frame rates (30fps ↔ 60fps). This works fine on iPhone 16 Pro and earlier. What We've Observed: Freeze happens on frame rate change - particularly when stabilization was enabled Thread.sleep is used - to allow camera hardware to settle before re-enabling stabilization Works on older iPhones - only iPhone 17 exhibits this behavior Console shows these errors before freeze: 17281 <<<< FigXPCUtilities >>>> signalled err=18446744073709534335 <<<< FigCaptureSourceRemote >>>> err=-17281 Is Thread.sleep on the main thread causing the freeze? Should all camera configuration be on a background queue? Is there something specific about iPhone 17 ultra-wide camera that requires different handling? Should we use session.beginConfiguration() / session.commitConfiguration() instead of direct device configuration? Is calling setFrameRate from a property's didSet (which runs synchronously) problematic? Are the FigCaptureSourceRemote errors (-17281) indicative of the problem, and what do they mean?
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Photos are captured with incorrect exposure bias in specific scenarios on iPhone 17 Pro
Hey, There seems to be an inconsistency when capturing a photo using QualityPrioritization.Quality on the iPhone 17 Pro Main wide Lens. If you zoom above "2x" the output image always has "-2.0ev" bias in the meta data and looks underexposued. This does not happen at zoom levels above 2, or if you set the QualityPrioritization to .Balanced. See below: with .Quality with .Balanced This does not happen on the other lenses. I'm using a simple set up and it is consistent across JPEG and ProRAW capture. I have a demo project if that is useful. Thanks, Alex
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_shouldExposeItemIdentifier is false. Unable to get itemIdentifier
PHPhotoLibrary.authorizationStatus(for: .readWrite) == .authorized Iinfo.plist Privacy - Photo Library Usage Description set I check authorization before attempting to get the photoPickerItem.itemIdentifier, but every time the return value from itemIdentifier is nil. Seems I missing some permissions, but unsure why the system is still keeping _shouldExposeItemIdentifier set to false.
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Can iOS capture video at 4032×3024 while running a Vision/ML model?
I am new to Swift and iOS development, and I have a question about video capture performance. Is it possible to capture video at a resolution of 4032×3024 while simultaneously running a vision/ML model on the video stream (e.g., using Vision or CoreML)? I want to know: whether iOS devices support capturing video at that resolution, whether the frame rate drops significantly at that scale, and whether it is practical to run a Vision/ML model in real-time while recording at such a high resolution. If anyone has experience with high-resolution AVCaptureSession setups or combining them with real-time ML processing, I would really appreciate guidance or sample code.
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