23c74d7063d0a4930996553ba4685d8d7ae04b7f
The merge probability was `dr_face`'s constant and the smallest group was a bare `< 2` in the clustering pass. Both were tuned on one library — 1,813 faces of one photographer's family — and the quantity they optimise is a property of the population, not of the model. A household at close family resemblance and two thousand strangers at a wedding want different answers, and neither of them is the reference library. The doc comment already conceded the point and pointed at `face_index --tune`; a photographer does not have a terminal. So they are `FaceSettings` now, saved per device beside the cache budgets and edited from the People screen — beside the Regroup button that applies them and the rail that shows what they did, because a value changed three screens away from its effect is one nobody can tune. Moving them is safe by construction, which is why nothing asks for confirmation: a regroup writes only the suggested half, and confirmations, names and ignores enter as anchors and come back unchanged. The smallest-group rule is applied only to groups the system invented — a group the user named or set aside survives it whatever its size, because a display preference does not overrule a judgement. **Withdrawal, without which the setting does nothing visible.** Raising the smallest group stops the pass creating small groups; it does not remove the ones a previous pass made, because those still hold their suggestions, so they are not empty, so the prune leaves them. The pass now releases every unanchored face it did not place before pruning. And a dial you cannot see the effect of is not a dial. "What would this do?" runs the same population through the clusterer without opening a transaction and reports groups, faces grouped and largest group — one row of `--tune`'s table, on the user's own library, on a worker thread. The line leads with the group count because that is the number that says which side of the right setting you are on: it climbs as fragments are gathered into people and falls as separate people start being welded, while the grouped-face count rises straight through both. The preview parks its poll timer in a slot of its own. A preview and a regroup are allowed to be in flight together, and sharing the sweep's single slot would have the second to start drop the first's timer — visible as a Regroup that finished on its worker and never said so. 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.
Releases
20
DarkRoom 0.24.0
Latest
Languages
Rust
86.1%
Slint
10.3%
Python
1.1%
Shell
1%
WGSL
0.9%
Other
0.6%