Does this skill support the latest visionOS and iOS 17 APIs?

Yes, it includes availability checks and patterns for iOS 17+ APIs like VNGenerateForegroundInstanceMaskRequest while providing fallbacks for older versions.

What common Vision issues does this skill address?

It provides diagnostics for subjects not detected, missing landmarks, low confidence observations, coordinate mismatches, and VisionKit errors like DataScanner failures.

Can it help fix app freezes during camera processing?

Yes, it includes specific diagnostic patterns to identify if Vision requests are blocking the main thread and provides the correct background threading implementations.

How do I use this to debug text recognition failures?

The skill provides a decision tree to check image quality, recognition levels, and language correction settings to determine why text is missing or misread.

Vision Framework Diagnostics

Name: Vision Framework Diagnostics
Author: CharlesWiltgen

byCharlesWiltgen

•

233

Mobile Development

Diagnoses and troubleshoots Apple Vision framework issues including subject detection failures, low confidence scores, and performance bottlenecks.

概要

The axiom-vision-diag skill provides a systematic approach to debugging the Apple Vision framework across iOS, macOS, and visionOS. It helps developers identify root causes for common failures such as missing hand landmarks, coordinate mismatches, threading issues that freeze the UI, and API availability errors. By offering diagnostic code snippets, a comprehensive decision tree, and specific troubleshooting patterns, it streamlines the process of fixing complex computer vision bugs in modern xOS applications.

主な機能

Systematic troubleshooting for hand and body pose detection failures
Diagnostic code patterns for verifying confidence scores and result counts
Decision tree for resolving VisionKit and DataScannerViewController errors
Threading and performance audit tools to prevent main-thread UI freezes
Coordinate conversion and API availability validation for multi-platform apps
233 GitHub stars

ユースケース

Debugging why specific hand landmarks are intermittently nil in visionOS or iOS gesture-based apps
Resolving performance lag and UI blocking during real-time camera feed processing
Identifying environmental causes for failed text or barcode recognition in variable lighting

概要

主な機能

Systematic troubleshooting for hand and body pose detection failures
Diagnostic code patterns for verifying confidence scores and result counts
Decision tree for resolving VisionKit and DataScannerViewController errors
Threading and performance audit tools to prevent main-thread UI freezes
Coordinate conversion and API availability validation for multi-platform apps
233 GitHub stars

ユースケース

Debugging why specific hand landmarks are intermittently nil in visionOS or iOS gesture-based apps
Resolving performance lag and UI blocking during real-time camera feed processing
Identifying environmental causes for failed text or barcode recognition in variable lighting