dtourolleandClaude Opus 5 aac3136407 Store faces and the people they belong to
Schema v8: people, faces, face_person, face_person_rejected, and the
per-library calibration. Follows catalog.md 10.1 with two additions the
spec work turned up.

crop_px, because at the 1024px proxy tier a group shot reaches the
embedder at ~50 source pixels upsampled to 112 and a portrait at 340.
FR-CULL-9 names face size as an axis along which an uncalibrated
similarity misbehaves, so it is a stored feature rather than a UI hint.

face_person_rejected, because rejection is not the absence of an
assignment. Without it the next clustering pass re-suggests exactly the
face the user just pushed away, and the tool feels broken.

record_detections replaces rather than appends, since DetectFaces is
coalesced per image -- and carries confirmations across the replacement
by box overlap, so re-indexing with a better model cannot discard the
user's own labelling.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-26 20:02:52 +02:00
2026-08-26 10:08:51 +02:00

DarkRoom

A cross-platform, non-destructive RAW photo editor for Linux and Android.

Status: early. v0.1 is a remote library viewer — see docs/milestone-v0.1.md.

Documentation

Document Contents
requirements.md What the software must do — 122 numbered requirements
architecture.md How it is built — crates, GPU pipeline, data model, sync
milestone-v0.1.md The first buildable milestone
faces.md Face detection and identity — the models, the licence problem, and what S14 measures

Building

Desktop:

cargo run -p darkroom-desktop

Android (containerised toolchain, see docker/android):

./docker/android/build.sh cargo ndk -t arm64-v8a build --release

Current state

Working: workspace, GPU context and compute pass, adaptive Slint shell, Android cross-compilation of the core crates.

Not yet working: the zero-copy display path. The build currently uploads frames through the CPU, which is exactly what ARCH §6.1 forbids — measured at 96% of frame time at 4K. Replacing it is spike S1, the project's highest priority.

cargo run -p dr-gpu --example bench --features readback

reproduces that measurement.

Licence

GPL-3.0-or-later.

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