dtourolleandClaude Opus 5 b55812812a Name segmented people from the faces already recognised in them
The segmenter knows it found a person; the face index knows which person.
Joining them turns "person" in the mask list into "Anna", which is the
difference between a vocabulary of eighty COCO classes and one that
includes the user's family. Selecting a subject in a group photograph
stops being a guessing game between three identical rows.

Containment, not IoU. A face is a small part of the person it belongs to,
so a correct pairing has an IoU near zero and anything IoU-based would
reject every true match.

Confirmed names only. A suggestion is the system's guess, and printing a
guessed name onto a mask region would launder it into a fact.

Writing the tests corrected the design once: a tight head-and-shoulders
portrait, where the face fills most of the person box, is the case where
naming is most certain, not least. An earlier guard rejected exactly that
and has been removed, with the reasoning left as a test because it is
easy to get backwards a second time.

The names hang on the develop session, set when the image opens because
that is the one moment the catalog and the image id are both in reach.
Every segmentation run afterwards picks them up for free, and a library
with no face indexing behaves exactly as it did before.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-26 23:10:46 +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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