Axiom Vision

CharlesWiltgen/Axiom/axiom-codex/skills/axiom-vision

作者 CharlesWiltgen82c7feafae634a79b4336b3381289441886c122cMIT1.1K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫今天更新

Use when implementing ANY computer vision feature — image analysis, pose detection, person segmentation, subject lifting, text recognition, barcode scanning.

AI 產生的概覽

指導在應用程式中實作與偵錯 Apple Vision 框架的電腦視覺功能。

功能
此技能會將電腦視覺工作導向參考文件,涵蓋 Apple Vision 框架:主體分割、手部與身體姿態偵測、文字辨識、條碼掃描、文件掃描與即時掃描。它提供實作指南、API 參考,以及針對偵測失敗、信心度門檻、座標轉換與效能問題的診斷指南。它也會把媒體資料庫中的人臉身分分群指向另一個媒體技能。
適用情境
在建立任何使用 Vision 框架的電腦視覺功能時使用,例如影像分析、姿態偵測、主體提取、OCR 或條碼掃描。也適用於偵錯 Vision 問題,例如偵測不到、信心度偏低、辨識字元錯誤,或處理時介面凍結。
執行需求
沒有指令碼,僅為說明文件。假定在 Apple 平台程式碼庫中使用 Vision 與 VisionKit 框架。

Computer Vision

You MUST use this skill for ANY computer vision work using the Vision framework.

Quick Reference

Symptom / TaskReference
Subject segmentation, liftingSee skills/vision-framework.md
Hand/body pose detectionSee skills/vision-framework.md
Text recognition (OCR)See skills/vision-framework.md
Barcode/QR code detectionSee skills/vision-framework.md
Document scanningSee skills/vision-framework.md
DataScannerViewControllerSee skills/vision-framework.md
Structured document extraction (iOS 26+)See skills/vision-framework.md
Isolate object excluding handSee skills/vision-framework.md
Tap-to-segment any object OS27See skills/vision-ref.md
Vision on watchOS watchOS27See skills/vision-ref.md
Vision tools for Foundation Models (BarcodeReaderTool, OCRTool) OS27See skills/vision-ref.md
Vision framework API referenceSee skills/vision-ref.md
Visual Intelligence integration (iOS 26+, iPadOS27/macOS27)See skills/vision-ref.md
Sensitive content classification (nudity/gore/violence), categorized via detectedTypes (OS27)See skills/vision-ref.md
Group/cluster faces into people across a library, video highlights/key frames (OS27)Use axiom-media (skills/media-intelligence.md) instead — MediaIntelligence clusters identities; Vision detects faces in one image
Subject not detectedSee skills/vision-diag.md
Hand/body pose missing landmarksSee skills/vision-diag.md
Low confidence observationsSee skills/vision-diag.md
UI freezing during processingSee skills/vision-diag.md
Coordinate conversion bugsSee skills/vision-diag.md
Text not recognized / wrong charsSee skills/vision-diag.md
Barcode not detectedSee skills/vision-diag.md
DataScanner blank / no itemsSee skills/vision-diag.md
Document edges not detectedSee skills/vision-diag.md

Decision Tree

dot
digraph vision {    start [label="Computer vision task" shape=ellipse];    what [label="What do you need?" shape=diamond];
    start -> what;    what -> "skills/vision-framework.md" [label="implement feature"];    what -> "skills/vision-ref.md" [label="API reference"];    what -> "skills/vision-ref.md" [label="Visual Intelligence"];    what -> "skills/vision-ref.md" [label="tap-to-segment / watchOS / FM tools (27)"];    what -> "skills/vision-diag.md" [label="something broken"];}
  1. Implementing (pose, segmentation, OCR, barcodes, documents, live scanning)? → skills/vision-framework.md
  2. Visual Intelligence system integration (camera/screenshot search; iOS 26+, iPadOS27/macOS27)? → skills/vision-ref.md (Visual Intelligence section)
  3. Tap-to-segment, Vision on watchOS, or Vision tools for Foundation Models (27 cycle)? → skills/vision-ref.md
  4. Need API reference / code examples? → skills/vision-ref.md
  5. Debugging issues (detection failures, confidence, coordinates)? → skills/vision-diag.md

Critical Patterns

Implementation (skills/vision-framework.md):

  • Decision tree for choosing the right Vision API
  • Subject segmentation with VisionKit
  • Isolating objects while excluding hands (combining APIs)
  • Hand/body pose detection (21/19 landmarks)
  • Text recognition (fast vs accurate modes)
  • Barcode detection with symbology selection
  • Document scanning and structured extraction (iOS 26+)
  • Live scanning with DataScannerViewController
  • CoreImage HDR compositing

Diagnostics (skills/vision-diag.md):

  • Subject detection failures (edge of frame, lighting)
  • Landmark tracking issues (confidence thresholds)
  • Performance optimization (frame skipping, downscaling)
  • Coordinate conversion (lower-left vs top-left origin)
  • Text recognition failures (language, contrast)
  • Barcode detection issues (symbology, size, glare)
  • DataScanner troubleshooting (availability, data types)

Anti-Rationalization

ThoughtReality
"Vision framework is just a request/handler pattern"Vision has coordinate conversion, confidence thresholds, and performance gotchas. vision-framework.md covers them.
"I'll handle text recognition without the skill"VNRecognizeTextRequest has fast/accurate modes and language-specific settings. vision-framework.md has the patterns.
"Subject segmentation is straightforward"Instance masks have HDR compositing and hand-exclusion patterns. vision-framework.md covers complex scenarios.
"Visual Intelligence is just the camera API"Visual Intelligence is a system-level feature requiring IntentValueQuery and SemanticContentDescriptor. vision-ref.md has the integration section.
"I'll just process on the main thread"Vision blocks UI on older devices. Users on iPhone 12 will experience frozen app. 15 min to add background queue.

Example Invocations

User: "How do I detect hand pose in an image?" → See skills/vision-framework.md

User: "Isolate a subject but exclude the user's hands" → See skills/vision-framework.md

User: "How do I read text from an image?" → See skills/vision-framework.md

User: "Scan QR codes with the camera" → See skills/vision-framework.md

User: "Subject detection isn't working" → See skills/vision-diag.md

User: "Text recognition returns wrong characters" → See skills/vision-diag.md

User: "Show me VNDetectHumanBodyPoseRequest examples" → See skills/vision-ref.md

User: "How do I make my app work with Visual Intelligence?" → See skills/vision-ref.md

User: "Let users tap an object in a photo to cut it out" → See skills/vision-ref.md (Iterative Segmentation)

User: "Can I use Vision in my watchOS app?" → See skills/vision-ref.md (Vision on watchOS)

User: "RecognizeDocumentsRequest API reference" → See skills/vision-ref.md

User: "Group faces into people across my library" / "cluster faces on-device into persons" → Use axiom-media (skills/media-intelligence.md) — identity clustering across assets, not per-image detection

來源與署名

來源:CharlesWiltgen/Axiom位於axiom-codex/skills/axiom-vision提交82c7fea

授權條款: MIT

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