Hello, i've recently received the entitlements to access the main camera stream for a project on the Apple Vision Pro.
What happens :
When executing code from this WWDC tutorial , i'm getting this error when trying to use a Camera Frame Provider :
ar_camera_frame_provider_t <0x300d58870>: Failed to start camera stream with error: <ar_error_t: 0x303fcc4c0 Error Domain=com.apple.arkit Code=100 "App not authorized." UserInfo={NSLocalizedFailureReason=Using camera frame provider requires an entitlement., NSLocalizedRecoverySuggestion=, NSLocalizedDescription=App not authorized.}
What I've tried :
I followed the instructions given by mail, by :
adding the .license file at the root of my project,
adding the .entitlements file by adding capabilities in the project (Main Camera Access & Passthrough in screen capture are there).
I've added NSCameraDescription, NSEnterpriseMCAMUsageDescription and NSWorldSensingUsageDescription (they all have a value assigned).
I've also followed those post & post advices.
When checking on the Account settings, i do see the capabilities in the "additional capabilities"
On first launch, I'm also getting prompted to accept the NSEnterpriseMCAMUsageDescription, so I assume the info.plist file is valid?
What did i missed to get the entitlements working ?
Here's the code :
import ARKit
import SwiftUI
import Vision
import RealityKit
class MainCameraAccess {
var arKitSession = ARKitSession()
var cameraFrameProvider = CameraFrameProvider()
var pixelBuffer: CVPixelBuffer?
func startCameraSession() async {
let formats = CameraVideoFormat.supportedVideoFormats(for: .main, cameraPositions: [.left])
// Request authorization
await arKitSession.requestAuthorization(for: [.cameraAccess])
// Start the session
do {
try await arKitSession.run([cameraFrameProvider])
} catch {
print("Failed to start ARKit session: \(error)")
return
}
// Get camera frame updates
guard let cameraFrameUpdates = cameraFrameProvider.cameraFrameUpdates(for: formats[0]) else {
return
}
// Process frames
for await cameraFrame in cameraFrameUpdates {
guard let mainCameraSample = cameraFrame.sample(for: .left) else {
continue
}
self.pixelBuffer = mainCameraSample.pixelBuffer
}
}
func saveLatestImage() {
guard let pixelBuffer = self.pixelBuffer else {
print("No image available to save.")
return
}
// Convert CVPixelBuffer to UIImage
let ciImage = CIImage(cvPixelBuffer: pixelBuffer)
let context = CIContext()
guard let cgImage = context.createCGImage(ciImage, from: ciImage.extent) else {
print("Failed to create CGImage.")
return
}
let uiImage = UIImage(cgImage: cgImage)
// Save UIImage to Photos Album
UIImageWriteToSavedPhotosAlbum(uiImage, nil, nil, nil)
print("Image saved to photo library.")
}
}
Thanks in advance for the help,
Jeremy
ARKit
RSS for tagIntegrate iOS device camera and motion features to produce augmented reality experiences in your app or game using ARKit.
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I am attempting to use the Barcode Detection enterprise API. I have the necessary entitlements and license file. I'm following the sample code online, and whenever I attempt to run the barcode detection using arKitSession.run I get the following error message:
ar_barcode_detection_provider_t <0x300d82130>: Failed to run provider with transient error code: 1
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Topic:
Spatial Computing
SubTopic:
ARKit
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Topic:
Spatial Computing
SubTopic:
ARKit
How to find main (left) camera transform from world anchor? (Enterprise API)
From CameraFrameProvider() I can get a frame sample which has an "extrinsics" parameter. How is it defined? Relative to what point/anchor?
By applying for the enterprise API, we can obtain the data of video frames collected by VisionPro glasses, and then we process the collected video frames to achieve the function of eliminating a certain object. But it was not found how to insert the processed video frames into the data source collected by the system camera.
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STEPS TO REPRODUCE
Obtain video frames,
Process the obtained video frames
Insert the processed video frames into the VisonOS system camera.
System: VisionOS 2.0
API used: Enterprise APIs Main camera access permissions