In our app, we're streaming short HLS streams to local AVPlayers. In the view we have an AVPlayerLayer which is connected to the AVPlayer we start, and usually we hear audio and see the video. Sometimes, instead of video, we'll see a grey screen, while still being able to hear the audio. The playerlayer will be a shade of grey, which is not a shade coming from our app. Also if for testing purposes we don't connect the player to the PlayerLayer, this grey color will not be there, so it's definitely coming from the AVPlayerLayer. If this is somehow related to an HLSStream becoming corrupted or something, what are the API's in AVFoundation we could use to debug this? So far, when this happens we see no peculiar catch blocks or errors being thrown in our debug logs.

So, I'm using some small python script that imports from pxr import Usd, Sdf, UsdGeom, Kind which used to work fine a few months ago. I got the USD tools from https://developer.apple.com/augmented-reality/tools/ and always had to run it in a Rosetta-Terminal (plus making sure the USD tools are in PATH and PYTHONPATH) but it worked. Now, whatever I do I always get   File "create_scene.py", line 2, in <module>     from pxr import Usd, Sdf, UsdGeom, Kind   File "/Applications/usdpython/USD/lib/python/pxr/Usd/__init__.py", line 24, in <module>     import _usd ModuleNotFoundError: No module named '_usd' Does anyone have any clues what this _usd is about?

So, we use ARFaceTrackingConfiguration and ARKit for a magic mirror like experience in our apps, augmenting users faces with digital content. On the iPad Pro 5gen customers are complaining that the camera image is too wide, I'm assuming that is because of the new wide-angle camera necessary for Apples center-stage Facetime calls? I have looked through Tracking and Visualizing Faces and the WWDC 2021 videos, but I must have missed any API's that allow us to disable the wide-angle feature on the new iPads programmatically?

Today I was surprised that the latest version of Three.js (browser based 3D Engine) actually supports a transmission property for transparent materials that looks pretty good and is really performant: So far I have only used this material property when rendering in Blender, not in a realtime engine. But if THREE can run this at 60fps in the browser, there must be a way of achieving the same in ARKit/SceneKit/RealityKit? I just haven't found anything in the SCNMaterial documentation about Transmission nor anyone mentioning relevant shader modifiers. Especially if we want to present objects with frosted glas effects in AR this would be super useful? (The Three.js app for reference: https://q2nl8.csb.app/ and I learned about this in an article by Kelly Mulligan: https://tympanus.net/codrops/2021/10/27/creating-the-effect-of-transparent-glass-and-plastic-in-three-js/)

Two issues: No matter what I set in try audioSession.setPreferredSampleRate(x) the sample rate on both iOS and macOS is always 48000 when the output goes through the speaker, and 24000 when my Airpods connect to an iPhone/iPad. Now, I'm checking the current output loudness to animate a 3D character, using mixerNode.installTap(onBus: 0, bufferSize: y, format: nil) { [weak self] buffer, time in Task { @MainActor in // calculate rms and animate character accordingly but any buffer size under 4800 is just ignored and the buffers I get are 4800 sized. This is ok, when the sampleRate is currently 48000, as 10 samples per second lead to decent visual results. But when AirPods connect, the samplerate is 24000, which means only 5 samples per second, so the character animation looks lame. My AVAudioEngine setup is the following: audioEngine.connect(playerNode, to: pitchShiftEffect, format: format) audioEngine.connect(pitchShiftEffect, to: mixerNode, format: format) audioEngine.connect(mixerNode, to: audioEngine.outputNode, format: nil) Now, I'd be fine if the outputNode runs at whatever if it needs, as long as my tap would get at least 10 samples per second. PS: Specifying my favorite format in the let format = AVAudioFormat(standardFormatWithSampleRate: 48_000, channels: 2)! mixerNode.installTap(onBus: 0, bufferSize: y, format: format) doesn't change anything either

I want an AR character to be able to look at a position while still playing the characters animation. So far, I managed to manually adjust a single bone rotation using skeletalComponent.poses.default = Transform( scale: baseTransform.scale, rotation: lookAtRotation, translation: baseTransform.translation ) which I run at every rendering update, while a full body animation is running. But of course, hardcoding single joints to point into a direction (in my case the head) does not look as nice, as if I were to run some inverse cinematic that includes, hips + neck + head joints. I found some good IKRig code in Composing interactive 3D content with RealityKit and Reality Composer Pro. But when I try to adjust rigs while animations are playing, the animations are usually winning over the IKRig changes to the mesh.

Basically, take just the Xcode 26 AR App template, where we put the ContentView as the detail end of a NavigationStack. Opening app, the app uses < 20MB of memory. Tapping on Open AR the memory usage goes up to ~700MB for the AR Scene. Tapping back, the memory stays up at ~700MB. Checking with Debug memory graph I can still see all the RealityKit classes in the memory, like ARView, ARRenderView, ARSessionManager. Here's the sample app to illustrate the issue. PS: To keep memory pressure on the system low, there should be a way of freeing all the memory the AR uses for apps that only occasionally show AR scenes.

So, our app imports CoreML and loads the CoreML models when starting up. Locally all tests succeed consistently. Running Tests on Xcode Cloud, they all fail with (UI and Unit Tests) App (6846) encountered an error (Early unexpected exit, operation never finished bootstrapping - no restart will be attempted. (Underlying Error: Test crashed with signal ill before establishing connection.)) the test instance is busy for 35min and then just aborts, with all tests failing. This sounds to me like the simulator is maybe showing some exception or is stuck? Or is it possible that xcode server runs in a special environment that gets stuck on loading CoreML models?

So, I've been following along the video on "Distribute binary frameworks as Swift packages" - https://developer.apple.com/videos/play/wwdc2020/10147/, but now I'm sort of stuck. I have my Swift Package that works fine when used as a source package, which I want to ship as a binary now. The video says, I'm supposed to add a target: swift import PackageDescription let package = Package(     name: "Test",     defaultLocalization: "de",     platforms: [         .iOS(.v13)     ],     products: [         .library(             name: "Test",             targets: ["Test"]         ),     ],     dependencies: [     ],     targets: [ //        .target(name: "Test")         .binaryTarget(             name: "Test",             url: "https://static.looc.io/Test/Test-1.0.0.xcframework.zip",             checksum: "9848327892347324789432478923478"         )     ] ) but, the xcframework is what I am trying to build, don't have an xcframework yet? With the above, if I run: bash [konrad@iMac-2 Source]$ xcodebuild archive -workspace Test -scheme Test \archivePath "tmp/iOS" \ destination "generic/platform=iOS" \ SKIP_INSTALL=NO BUILD_LIBRARY_FOR_DISTRIBUTION=YES I get the error bash xcodebuild: error: Could not resolve package dependencies:   artifact of binary target 'Test' failed download: invalid status code 403

In an app with multiple AVPlayers (think TikTok UX for example), where: • one video is currently streaming • other videos , that users will move to next, have already been loaded into an AVPlayer for prebuffering Is there an API to give the currently playing Stream higher priority than the pre-buffering ones that are not on screen? It's nice to have instant play while scrolling but we also don't want to starve the currently playing player of bandwidth.

Aloha Quick Lookers, I'm using the usdzconvert preview 0.64 to create *.usdz files, which I then edit in ascii *.usda format, and then recipe them as *.usdz. This way I was able to fix the scale (the original gltf's usually are in m=1, while the usdzconvert 0.64 always sets the result to m=0.01). Now I was trying to follow the docs to anchor my Glasses prim on the users face and whatever I try, it will only ever place it on my tables surface. If I import my *.usdz file into Reality Composer and export it to usdz It does get anchored to the face correctly. Now when I open the Reality-Composer-Export-usdz it really doesn't look so different from my manually edited usdz (it just wraps the Geometry in another layer, I assume because the import-export through Reality-Composer). What am I doing wrong? Here's the Reality Composer generated usda: #usda 1.0 ( autoPlay = false customLayerData = { string creator = "com.apple.RCFoundation Version 1.5 (171.5)" string identifier = "9AAF5C5D-68AB-4034-8037-9BBE6848D8E5" } defaultPrim = "Root" metersPerUnit = 1 timeCodesPerSecond = 60 upAxis = "Y" ) def Xform "Root" { def Scope "Scenes" ( kind = "sceneLibrary" ) { def Xform "Scene" ( customData = { bool preliminary_collidesWithEnvironment = 0 string sceneName = "Scene" } sceneName = "Scene" ) { token preliminary:anchoring:type = "face" quatf xformOp:orient = (0.70710677, 0.70710677, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:orient", "xformOp:scale"] // ... and here is my own , minimal, usdz with the same face-anchoring-token: #usda 1.0 ( autoPlay = false customLayerData = { string creator = "usdzconvert preview 0.64" } defaultPrim = "lupetto_local" metersPerUnit = 1 timeCodesPerSecond = 60 upAxis = "Y" ) def Xform "lupetto_local" ( assetInfo = { string name = "lupetto_local" } kind = "component" ) { def Scope "Geom" { def Xform "Glasses" { token preliminary:anchoring:type = "face" double3 xformOp:translate = (0, 0.01799999736249447, 0.04600000008940697) uniform token[] xformOpOrder = ["xformOp:translate"] // ... I'd add the full files, but they are 2Mb of size and the max file size is 200kb. I could create a minimal example file with less geometry in case the above code is not enough.

Working with a M1 Macbook Air, macos 12.4. Anytime I open a new terminal window or just a new tab, it takes a really long time till I can type. I have commented out my entire ~/.zshrc and when run for i in $(seq 1 10); do /usr/bin/time $SHELL -i -c exit; done directly in an open terminal window it says it finished in 0.1s. So it must be something macos is doing before zsh is even starting. PS: In the activity monitor I can only see a spike in kernel_task cpu usage when opening a new terminal

So experimenting with the new SpeechTranscriber, if I do: let transcriber = SpeechTranscriber( locale: locale, transcriptionOptions: [], reportingOptions: [.volatileResults], attributeOptions: [.audioTimeRange] ) only the final result has audio time ranges, not the volatile results. Is this a performance consideration? If there is no performance problem, it would be nice to have the option to also get speech time ranges for volatile responses. I'm not presenting the volatile text at all in the UI, I was just trying to keep statistics about the non-speech and the speech noise level, this way I can determine when the noise level falls under the noisefloor for a while. The goal here was to finalize the recording automatically, when the noise level indicate that the user has finished speaking.

So, I've been wondering how fast a an offline STT -> ML Prompt -> TTS roundtrip would be. Interestingly, for many tests, the SpeechTranscriber (STT) takes the bulk of the time, compared to generating a FoundationModel response and creating the Audio using TTS. E.g. InteractionStatistics: - listeningStarted: 21:24:23 4480 2423 - timeTillFirstAboveNoiseFloor: 01.794 - timeTillLastNoiseAboveFloor: 02.383 - timeTillFirstSpeechDetected: 02.399 - timeTillTranscriptFinalized: 04.510 - timeTillFirstMLModelResponse: 04.938 - timeTillMLModelResponse: 05.379 - timeTillTTSStarted: 04.962 - timeTillTTSFinished: 11.016 - speechLength: 06.054 - timeToResponse: 02.578 - transcript: This is a test. - mlModelResponse: Sure! I'm ready to help with your test. What do you need help with? Here, between my audio input ending and the Text-2-Speech starting top play (using AVSpeechUtterance) the total response time was 2.5s. Of that time, it took the SpeechAnalyzer 2.1s to get the transcript finalized, FoundationModel only took 0.4s to respond (and TTS started playing nearly instantly). I'm already using reportingOptions: [.volatileResults, .fastResults] so it's probably as fast as possible right now? I'm just surprised the STT takes so much longer compared to the other parts (all being CoreML based, aren't they?)

So, I was trying to animate a single bone using FromToByAnimation, but when I start the animation, the model instead does the full body animation stored in the availableAnimations. If I don't run testAnimation nothing happens. If I run testAnimation I see the same animation as If I had called entity.playAnimation(entity.availableAnimations[0],..) here's the full code I use to animate a single bone: func testAnimation() { guard let jawAnim = jawAnimation(mouthOpen: 0.4) else { print("Failed to create jawAnim") return } guard let creature, let animResource = try? AnimationResource.generate(with: jawAnim) else { return } let controller = creature.playAnimation(animResource, transitionDuration: 0.02, startsPaused: false) print("controller: \(controller)") } func jawAnimation(mouthOpen: Float) -> FromToByAnimation<JointTransforms>? { guard let basePose else { return nil } guard let index = basePose.jointNames.firstIndex(of: jawBoneName) else { print("Target joint \(self.jawBoneName) not found in default pose joint names") return nil } let fromTransforms = basePose.jointTransforms let baseJawTransform = fromTransforms[index] let maxAngle: Float = 40 let angle: Float = maxAngle * mouthOpen * (.pi / 180) let extraRot = simd_quatf(angle: angle, axis: simd_float3(x: 0, y: 0, z: 1)) var toTransforms = basePose.jointTransforms toTransforms[index] = Transform( scale: baseJawTransform.scale * 2, rotation: baseJawTransform.rotation * extraRot, translation: baseJawTransform.translation ) let fromToBy = FromToByAnimation<JointTransforms>( jointNames: basePose.jointNames, name: "jaw-anim", from: fromTransforms, to: toTransforms, duration: 0.1, bindTarget: .jointTransforms, repeatMode: .none, ) return fromToBy } PS: I can confirm that I can set this bone to a specific position if I use guard let index = newPose.jointNames.firstIndex(of: boneName) ... let baseTransform = basePose.jointTransforms[index] newPose.jointTransforms[index] = Transform( scale: baseTransform.scale, rotation: baseTransform.rotation * extraRot, translation: baseTransform.translation ) skeletalComponent.poses.default = newPose creatureMeshEntity.components.set(skeletalComponent) This works for manually setting the bone position, so the jawBoneName and the joint-transformation can't be that wrong.