How RawCull Loads and Uses CLIP

Wed, 29 Jul 2026 00:00:00 +0000

How RawCull Loads and Uses CLIP

RawCull supports two CLIP models:

OpenAI CLIP ViT-B/32, which processes a 224 × 224 image;
OpenCLIP DataComp ViT-B-32-256, which processes a 256 × 256 image.

The user selects one model in Settings > AI. That one selection defines the vector space used for both image-to-image similarity and text-to-image semantic search. RawCull never mixes vectors from the two models.

This page starts with the basic idea behind CLIP and then follows the current source code from application startup, through model validation and Core AI inference, to search results, burst groups, and persisted artifacts.

Artificial Intelligence

Sat, 18 Jul 2026 00:00:00 +0000

Artificial Intelligence in RawCull

This section explains how RawCull uses reusable AI components without allowing model-runtime details to spread through the application. It is written as a learning path: first understand the boundary between RawCull and PhotoAIKit, then study the package itself, and finally follow CLIP from application startup to a persisted similarity artifact.

The source for this section comes from the sibling PhotoAIKit and RawCull projects. Paths beginning with Sources/ refer to PhotoAIKit. Paths beginning with Model/, Main/, Views/, or Actors/ refer to the RawCull app target.

Photoaikit on RawCull

How RawCull Loads and Uses CLIP

How RawCull Loads and Uses CLIP

Artificial Intelligence

Artificial Intelligence in RawCull