Axiom Vision

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

作者 CharlesWiltgen82c7feafae634a79b4336b3381289441886c122cMIT1.1K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库今天更新

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

AI 生成的概览

指导在应用中实现和调试 Apple Vision 框架的计算机视觉功能。

功能
该技能将计算机视觉工作分流到参考文档,涵盖 Apple Vision 框架:主体分割、手部与身体姿态检测、文本识别、条码扫描、文档扫描和实时扫描。它提供实现指南、API 参考,以及针对检测失败、置信度阈值、坐标转换和性能问题的诊断指南。它还会把媒体库中的人脸身份聚类指向另一个媒体技能。
适用场景
在构建任何使用 Vision 框架的计算机视觉功能时使用,例如图像分析、姿态检测、主体提取、OCR 或条码扫描。也适用于调试 Vision 问题,如检测缺失、置信度低、识别字符错误或处理时界面卡顿。
运行要求
无脚本,仅为说明文档。假定在 Apple 平台代码库中使用 Vision 和 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

来源与署名

来源:CharlesWiltgen/Axiom位于axiom-codex/skills/axiom-vision提交82c7fea

许可证: MIT

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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