A sibling of spot.findDust for portraits: with the YuNet detector installed, small
round spots on each face's skin that are darker or redder than the surrounding skin
become heal spots (one undo step). The detector's box and landmarks define the skin
(ellipse, skin-colour gate, eye band / brows / nostrils / mouth cut out); a candidate
must stand out from a blurred copy beyond the sensitivity threshold and 2.5x the local
texture, then grow into a small roundish blob. Conservative: faces under 160 px get
nothing, faces with more than 12 candidates (stubble, freckles, pores) get nothing, at
most 6 per face (maxPerFace). Classical, no model beyond the detector.
Tests (synthetic, no model): cheek spots found at their positions, clean face empty,
spots on features ignored, small face ignored, speckled face treated as texture,
hostile boxes and an empty image do not panic. New LR-REM-BLEMISH parity row, Find
Blemishes section in docs/faces.md.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
CLAUDE.md gains the rule (a TaskGuard for every job that runs off the UI
thread and can take more than a moment; no progress window, panel or
toast of its own), and docs/background-tasks.md says how: kind, label,
progress, units, detail, the three ways to cancel, examples and tests.
Photo Merge's and the face scan's docs no longer describe the old
progress toast.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Keep current upstream UI behavior and the later detector contract checks. Validate candidate models before replacing working weights and records, with a synthetic regression that failed before the fix. Remove the unrelated GPU equivalence-test relaxation. All seven quality gates pass with the pinned hosted fonts.
Generated with Codex.
Photo > Detect Faces runs the YuNet detector (a small pure-Rust interpreter over the ONNX graph, no
runtime dependency) and adds the faces it finds as unnamed face regions in one undo step. The detector
and the recognition models are opt-in downloads: Settings > Faces shows each model's licence and
training-data note, Download stays disabled until the terms are accepted, and the file is fetched over
https with lightcraft-fetch from the model's own repository at a commit-pinned address, checked against
its recorded size and SHA-256 and then installed. Detect Faces offers the detector's download the first
time it is used. No model file is part of the repository (the real-model tests read LC_YUNET_MODEL; two
ignored tests download from the real hosts).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
