dtourolleandClaude Opus 5 1d4c3348af Let a 32-pixel face count, and move the blur floor with it
64 source pixels was too strict: it threw away 70% of everything the detector
finds, and plenty of what it took were faces a person could name.

Lowering it is not a one-line change, because the two floors are coupled. A face
under 112 pixels is *upsampled* to reach the embedder and upsampling invents no
edges, so a small face scores low on sharpness however crisp the original was.
Re-measured over the reference library with `face_index --quality`:

    min crop   min sharp   size cut   blur cut       kept
          32       0.000        44%         0%        56%
          32       0.002        44%         3%        53%
          32       0.005        44%         8%        48%
          32       0.010        44%        16%        40%
          32       0.020        44%        27%        30%
          64       0.020        70%         7%        23%

Holding the blur floor at 0.020 while dropping the size floor to 32 would have
rejected a further 27% — for being small rather than for being blurred — and
kept only 30%, barely more than the 23% the strict pair kept. Most of the point
of lowering the size floor would have gone straight back out through the other
gate.

0.005 removes 8% of what the size floor leaves, which is the same job 0.020 was
doing at 64 (7%): the large-but-soft face this gate exists for. Together they
now keep 48% of what the detector finds, against 23% before.

The box pre-filter follows down to 24, staying below what the real floor accepts
so it cannot reject a face that would have cleared 32.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-28 08:30:09 +02:00
2026-08-26 10:08:51 +02:00
2026-08-27 19:33:37 +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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