Keep getting error : I have tried Picker for File, Photo Library , both same results . Debugging the resize for 360x360 but still facing this error. The model I'm trying to implement is created with CreateMLComponents The process is from example of WWDC 2022 Banana Ripeness , I have used index for each .jpg . Prediction Failed: The VNCoreMLTransform request failed Is there some possible way to solve it or is error somewhere in training of model ?

I am encountering an issue while using the multiview video demo provided at this link "https://developer.apple.com/documentation/avkit/creating-a-multiview-video-playback-experience-in-visionos/". Specifically, when running on versions of visionOS prior to 2.2, navigating back results in a blank screen. Has anyone else experienced this problem and found a solution? Any advice or workaround would be greatly appreciated.

Did something change on face detection / Vision Framework on iOS 15? Using VNDetectFaceLandmarksRequest and reading the VNFaceLandmarkRegion2D to detect eyes is not working on iOS 15 as it did before. I am running the exact same code on an iOS 14 and iOS 15 device and the coordinates are different as seen on the screenshot? Any Ideas?

Hello, I am currently working on a Unity project for the Apple Vision Pro. I would like to have people passing in front of the virtual objects occlude the virtual objects that are behind. Something similar to this: https://developer.apple.com/documentation/arkit/occluding-virtual-content-with-people I could unfortunately not find any documentation about this. Is it possible to implement body segmentation or occlusion on the Apple Vision Pro? If it's not currently supported, are there plans to add it? Any ideas on how to achieve this with existing tools? Thanks! Mehdi

Hi everyone, I'm working with VNFeaturePrintObservation in Swift to compute the similarity between images. The computeDistance function allows me to calculate the distance between two images, and I want to cluster similar images based on these distances. Current Approach Right now, I'm using a brute-force approach where I compare every image against every other image in the dataset. This results in an O(n^2) complexity, which quickly becomes a bottleneck. With 5000 images, it takes around 10 seconds to complete, which is too slow for my use case. Question Are there any efficient algorithms or data structures I can use to improve performance? If anyone has experience with optimizing feature vector clustering or has suggestions on how to scale this efficiently, I'd really appreciate your insights. Thanks!

Hello, I am developing an app for the Swift Student challenge; however, I keep encountering an error when using ClassifyImageRequest from the Vision framework in Xcode: VTEST: error: perform(_:): inside 'for await result in resultStream' error: internalError("Error Domain=NSOSStatusErrorDomain Code=-1 \"Failed to create espresso context.\" UserInfo={NSLocalizedDescription=Failed to create espresso context.}") It works perfectly when testing it on a physical device, and I saw on another thread that ClassifyImageRequest doesn't work on simulators. Will this cause problems with my submission to the challenge? Thanks

Dear Apple Developer Team, I am writing to request the addition of GS1 DataBar Stacked (both regular and expanded variants) to the barcode symbologies supported by the Vision framework (VNBarcodeSymbology) and VisionKit's DataScannerViewController. Currently, Vision supports several GS1 DataBar formats, such as: VNBarcodeSymbology.gs1DataBar VNBarcodeSymbology.gs1DataBarExpanded VNBarcodeSymbology.gs1DataBarLimited However, GS1 DataBar Stacked is widely used in industries such as retail, pharmaceuticals, and logistics, where space constraints prevent the use of the standard GS1 DataBar format. Many businesses rely on this symbology to encode GTINs and other product data, but Apple's barcode scanning API does not explicitly support it. Why This Feature Matters: Essential for Small Packaging: GS1 DataBar Stacked is commonly used on small product labels where a standard linear barcode does not fit. Widespread Industry Adoption: Many point-of-sale (POS) systems and inventory management tools require this symbology. Improves iOS Adoption for Enterprise Use: Adding support would make Apple’s Vision framework a more viable solution for businesses that currently rely on third-party barcode scanning SDKs. Feature Request: Please add GS1 DataBar Stacked and GS1 DataBar Expanded Stacked to the recognized symbologies in: VNBarcodeSymbology (for Vision framework) DataScannerViewController (for VisionKit) This addition would enhance the versatility of Apple’s barcode scanning tools and reduce the need for third-party libraries. I appreciate your consideration of this request and would be happy to provide more details or test implementations if needed. Thank you for your time and support! Best regards

We are building an app which can reads texts. It can read english and Japanese normal texts successfully. But in some cases, we need to read Japanese tategaki (vertically aligned texts). But in that times, the same code gives no output. So, is there any need to change any configuration to read Japanese tategaki? Or is it really possible to read Japanese tategaki using vision framework? lazy var detectTextRequest = VNRecognizeTextRequest { request, error in self.resStr="\n" self.words = [:] // Get OCR result guard let res = request.results as? [VNRecognizedTextObservation] else { return } // separate the words by space let text = res.compactMap({$0.topCandidates(1).first?.string}).joined(separator: " ") var n = 0 self.wordArr=[[]] self.xs = 1 self.ys = 1 var hs = 0.0 // To compare the heights of the words // To get the original axis (top most word's axis), only once for r in res { var word = r.topCandidates(1).first?.string self.words[word ?? ""] = [r.topLeft.x, r.topLeft.y] if(self.cartLabelType == 1){ if(word?.components(separatedBy: CharacterSet(charactersIn: "/／")).count ?? 0>2){ self.xs = r.topLeft.x self.ys = r.topLeft.y } } } } }

Hello all... is there a way to close a contour if you have found say two points on each side top "extension"? see image attached. So in end desire a trapezoid type shape. Code example would be very appreciated. thank you :) Think I have it as a CGPath. So a way to edit a CGPath, or close the top from a top left to a top right point?

If I update vision pro size then textfield and button are not update as per its new size. Its working on some scren but not in some screen. Please refer below screenshot for your reference,

Based on the iPhone 14 Max camera, implement model recognition and draw a rectangular box around the recognized object. The width and height are calculated using LiDAR and displayed in centimeters on the real-time updated image.

I have to decrease main window screen size when user open Immersive space in my project. Using frame i try it but it not updated main window size it just update view frame.

End goal: to detect 3 lines, and 2 corners accurately. Trying contours but they are a bit off. Is there a way or settings in contours to detect corners and lines more accurately, maybe less an sharper edged/corner contours? Or some other API or methods please? I would love an email please ;) thank you. 2. also an overlay/scale issue

We are using VNRecognizeTextRequest to detect text in documents, and we have noticed that even in some very clear and well-formatted documents, there are still instances where text blocks are missed. the live text also have the same issue.

Hello, I need help I desire to select/filter the contours on an image. Not sure best way to do that. Idea select/filter for bottom left most contour? see image attached please. also will need end points or court corners. and need contour to be fine line, smooth, ie accurate of the court end line and side lines only is desired. thank you :) or also glad for other ideas or api to determine the lines/corners I need. glad to email to discuss if that is better/easier actually prefer that. thanks.

Hi, I'm working with vision framework to detect barcodes. I tested both ean13 and data matrix detection and both are working fine except for the QuadrilateralProviding values in the returned BarcodeObservation. TopLeft, topRight, bottomRight and bottomLeft coordinates are rotated 90° counter clockwise (physical bottom left of data Matrix, the corner of the "L" is returned as the topLeft point in observation). The same behaviour is happening with EAN13 Barcode. Did someone else experienced the same issue with orientation? Is it normal behaviour or should we expect a fix in next releases of the Vision Framework?

Hi everyone, I'm working on an iOS app that uses VisionKit and I'm exploring the .visualLookUp feature. Specifically, I want to extract the detailed information that Visual Look Up provides after identifying an object in an image (e.g., if the object is a flower, retrieve its name; if it’s a clothing tag, get the tag's content).

Hi everyone, I'm working on a SwiftUI app and need help building a view that integrates the device's camera and uses a pre-trained Core ML model for real-time object recognition. Here's what I want to achieve: Open the device's camera from a SwiftUI view. Capture frames from the camera feed and analyze them using a Create ML-trained Core ML model. If a specific figure/object is recognized, automatically close the camera view and navigate to another screen in my app. I'm looking for guidance on: Setting up live camera capture in SwiftUI. Using Core ML and Vision frameworks for real-time object recognition in this context. Managing navigation between views when the recognition condition is met. Any advice, code snippets, or examples would be greatly appreciated! Thanks in advance!

Currently, the id of my actual visionpro device is different from the xcode that works on my macmini. I added a visionpro id to xcode, but I can't build it with my visionpro. Can I log out of the existing login to xcode and log in with the same ID as visionpro? However, the appleID created for visionpro does not have an Apple Developer membership, so there is no certificate that makes it run on the actual device. How can I add my visionpro ID from the ID with my apple developer membership to run the xcode project app on visionpro? This is the first time this is the first time.

Hello, I checked following documentations. Vision | Apple Developer Documentation Discover Swift enhancements in the Vision framework - WWDC24 - Videos - Apple Developer I saw Vision Framework is available on visionOS. So I want to know that if it's possible using Vision Framework on visionOS for tracking human and animal body poses. Or are there some limits to use this on visionOS?