Fast Selection Labeler artifacts for the DepthField Photo desktop app: a
CLIP ViT-B/32 vision encoder plus a precomputed text-embedding table over a
curated vocabulary. Used to identify the subject of a selection (auto-naming
layers, Auto Enhance categorization).
Contents & attribution
Derived from OpenAI CLIP (model openai/clip-vit-base-patch32).
Modifications: exported to ONNX from the CLIP vision tower with the
visual-projection head fused, so the encoder output already lives in the joint
512-dim embedding space.
clip-text-embeddings.bin, clip-vocab.json
Derived works: text embeddings precomputed by running a curated noun
vocabulary through CLIP's text tower and L2-normalizing. The vocabulary list
is original to DepthField Photo.
License
MIT License
Copyright (c) 2021 OpenAI
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