How PhotoAIKit Is Constructed
A detailed guide to PhotoAIKit’s contracts, CLIP image and text inference, semantic comparison, SAM 3, workflows, storage, concurrency, and model identity.
Category: Technical Details
Thumbnails and Scan Pipeline
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How PhotoAnalysisKit Is Constructed
A detailed guide to PhotoAnalysisKit’s image-analysis boundary, sharpness pipeline, focus evidence, masks, calibration, batching, feature prints, resources, and concurrency.
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How RawCull Loads and Uses CLIP
A beginner-friendly source walk-through of RawCull’s OpenAI and DataComp CLIP models, model loading, PhotoAIKit packages, image similarity, semantic search, recovery, and persistence.
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Memory Cache
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AI Model Download Service
Build, validate, package, and download the three optional RawCull AI models.
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AI Model Licence
AI Model Licence
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How RawCullCore Is Constructed
A detailed guide to RawCullCore’s package-safe models, capture-time and EV-aware burst grouping, ranking evidence, confidence rules, histograms, concurrency, and tests.
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Evaluating CLIP Models
Evaluating CLIP Models Against Source-Framework Cosine Values and RawCullFB
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New RawCull AI models
Release runbook for publishing DataComp CLIP, OpenAI CLIP, and Meta SAM 3.
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CLIP Model Evaluation Results
Detailed comparison of OpenAI CLIP ViT-B/32 and OpenCLIP DataComp ViT-B/32-256 using RawCullFB semantic-search and image-similarity reports.
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Concurrency
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How RawParserKit Is Constructed
A detailed guide to RawParserKit’s vendor dispatch, TIFF and MakerNote parsing, embedded previews, structured capture and exposure metadata, orientation, decode limiting, cancellation, compatibility APIs, and tests.
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Focus Mask and Sharpness
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Detailed Sharpness Scoring
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Detailed Focus Mask Computation
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Burst Groups
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RawCull Packages
Architecture guide to the four reusable Swift packages used by RawCull.
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Artificial Intelligence
Learning guide to PhotoAIKit and RawCull’s AI integration.