dtourolleandClaude Opus 5 b2250cc460 Measure a regroup on the tablet, not just on the desktop
The GPU question needed a number nobody had: how a regroup divides on
the hardware whose CPU is weakest. dr-face carries no weights and
touches no display, and dr-catalog's example needs only a catalog file,
so both run under adb shell against a copy of a real library.

On the same 18,143 faces — desktop against the tablet — scan 0.96s /
2.61s, agglomerate 1.69s / 2.16s, score 0.26s / 0.40s. The scan is half
the pass on the tablet and under a third on the desktop, because twenty
cores of AVX2 pull ahead of NEON much further than the merge engine's
single-threaded hashing does. So a GPU GEMM is worth roughly 2× a
regroup on the tablet and 1.5× here, and it is the tablet that should
decide whether it is built.

The two architectures agree exactly: the same 1,531,969 evidence pairs,
the same 2,518 groups holding the same 16,246 faces, the same
reliability table. That is a better check on the NEON kernel than the
unit test can be.

Two instruments, both read-only: the example now prints its phases, and
dr-face gains scan_bench, which needs no library at all and so can
answer "how fast is this machine" on a device with nothing on it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-29 12:16:48 +02:00
2026-08-26 10:08:51 +02:00
2026-08-28 22:24:58 +02:00
2026-08-28 22:24:58 +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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