3 Commits

Include renames

Author	SHA1	Message	Date
sneak	b88db65e0f	Test ML data with faces and no CLIP embedding, and name the norm ... Each backup command's tests now have a file whose ML data holds faces and no CLIP embedding; its JSON has the ML data and no keywords. The helper that gives a vector's norm is called norm. The README names what a video's JSON lacks, and the generator states its download size with the Python packages counted. Model: opus-5-5	2026-10-22 20:07:53 +00:00
clawbot	c65b0fae79	Share clipEmbedding, and shorten the README's keyword sentences ... clipKeywords takes the CLIP embedding out of a file's ML data with clipEmbedding, now exported from src/library/mldata.ts, and adds only its own checks: 512 numbers, not all zero. bin/clip-keyword-vectors puts its body in a main function called at the bottom, as the scripts under script/ do; it writes the same files. The README lists the Discover categories as bullets and states the score, the rule and the video rule in short sentences of their own. Model: opus-5-5	2026-10-22 19:25:40 +00:00
clawbot	5ec176550f	A file's JSON holds keywords in place of its CLIP embedding (closes #218) ... quak backup and quak backup-metadata write each file's ML data without its CLIP embedding, and keywords in its place: the titles of the Discover categories of Ente's photos app that the file falls in, by the app's rule. src/clip-keywords.ts applies the rule. src/clip-keyword-vectors.ts holds the 16 categories from Ente's discover.json with the text embedding Ente's CLIP text model gives each query. bin/clip-keyword-vectors writes that file and the test fixture in a digest-pinned Python image, with every download pinned by sha256; it runs by hand only. quak gains no dependency. Model: opus-5-5	2026-10-22 18:36:38 +00:00