dtourolleandClaude Opus 5
3944e17aa5
Two things the People screen was getting wrong, and then the arithmetic underneath it. It refused to show a confidence at all until the library had fitted its own calibration, which needs 200 confirmed positive pairs — made on the screen that was withholding the number used to rank them. The default curve is the reference implementation's fitted one, a published operating point rather than an invention, so the percentage is shown and the screen says which curve it came from. The number itself was the mean similarity between a face and every other member of its group, which punished well-photographed people and never asked who else the face might be. It is now the mean of the best ten matches into the identity, times that identity's share of the evidence against every other identity the user has ruled on. Leave-one-out over this library's 2,702 confirmations across 54 named people: 99.33% placed on the right person, and the number shown for the right person moves from a median of 90.4% to 99.3%. Both of those were measured rather than argued, on a copy of a real 18,143-face library, and the instrument is committed with them. Measuring is also what found the rest. A regroup went from 10.0s to 3.1s: the similarity scan was walking the whole embedding array once per row and not vectorising at all, and the agglomeration was spending 3.06s having every component scan the entire pair list for its own pairs. The scan now picks its kernel per machine — AVX2 where the CPU has it, NEON on the tablet, where the whole suite and a full regroup have both now been run. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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.