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
clipKeywords takes a file's ML data and whether it is a video, and gives the
titles of the Discover categories of Ente's photos app that its CLIP embedding
falls in, highest score first. The tests cover the rule with made-up vectors
and Ente's real categories with the CLIP embedding of a public-domain photo of
a sunset. The backup and backup-metadata tests now expect keywords in a file's
JSON and no CLIP embedding in its mlData. These tests fail until the
implementation lands.
Model: opus-5-5
sneak
clawbot