dtourolle
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Choosing "Thorough" made the library look empty. The detector setting writes under its own faces.model_id, and every reader of "the faces" keyed on that exact id: the clustering pass, the coverage figure, the sweep's work list, the shard export and import, and the sync merge's face matching. On the reference library that restarted coverage at 1,834 of 19,140, drew a People rail of 36 faces for a person with 520, queued a ~400 GB re-fetch on each device, and stranded the desktop's 3,583 confirmations under the old id: the tablet held the same faces under the new one and the merge refused to match them. Same photograph, same box, same embedder, two ids — that is one face, not two libraries. The embedder half of the id is now the key. embedder_of and embedder_sql give it to every query; writes keep the full id, so which detector drew a box stays on record. record_detections is unchanged and is where the generations meet: an image holds one pipeline's faces at a time, and a re-detection carries confirmations across by box overlap. The merge's match_faces applies the same rule within an embedder. The calibration is keyed on the embedder too, since the similarity space did not change. Shards travel every generation, each under its own id, and a peer adopts whichever it is sent — including a stronger detector's pass over an image it indexed itself with a weaker one, which is the re-detection its own sweep would otherwise queue, already done. Never downwards: a tablet on Fast keeps the desktop's Thorough faces. The sweep gains the same tail — images a weaker detector indexed, after the ones nothing has — driven by FaceDetector::supersedes, so choosing a stronger detector still improves the library over time without first making it disappear.
DarkRoom
A cross-platform, non-destructive RAW photo editor for Linux and Android.
Status: 0.9.0, and no longer a spike. A library opens, culls, develops and exports on both platforms, across eight tagged releases. What is not built is written down rather than merely absent — see docs/outstanding.md for the requirements that have no implementation and why, and docs/technical-debt.md for the compromises that were chosen.
Documentation
| Document | Contents |
|---|---|
| CONTRIBUTING.md | How to land a first change without reading the rest |
| requirements.md | What the software must do — 179 numbered requirements |
| architecture.md | How it is built — crates, GPU pipeline, data model, sync |
| technical-debt.md | Compromises taken deliberately, each with the condition that retires it |
| outstanding.md | What is not built, and whether that is a decision or a gap |
| code-health.md | What a contribution costs, per seam, measured |
| traceability.md | Generated: which requirement is claimed by which file |
| faces.md | Face detection and identity — the models, the licence problem, and what S14 measured |
Building
Desktop:
cargo run -p darkroom-desktop
Android (containerised toolchain, see docker/android):
./docker/android/build.sh cargo ndk -t arm64-v8a build --release
Git LFS is required for the model weights, and the toolchain pins itself. CONTRIBUTING.md has the details and the four commands CI will run against what you send.
Current state
Working. A catalog over a local folder, a Nextcloud account, or a folder a
sync client keeps in virtual-files mode — where a placeholder is treated as the
photograph rather than as a one-byte file. A virtualised library grid with a
capture-time timeline, ratings, labels, keywords, collections and a trash that
survives a crash mid-operation. Card ingest. Face detection and identity, with
the index syncing between devices. A develop pipeline of fifteen declared
operations fused into a single compute dispatch, plus the neighbourhood
operations that cannot be — clarity, texture, capture sharpening, noise
reduction, lens correction, spectral film simulation. Crop, straighten, spot
removal, gradient and subject-segmentation masks, named presets, and a
generated panel that no operation in ui/ is allowed to name. Export to JPEG,
PNG and 8- or 16-bit TIFF with resize and output sharpening.
The zero-copy display path works on desktop. The compute pass writes a texture that Slint composites directly, which is what ARCH §6.1 requires; the readback it forbids costs 96% of frame time at 4K, and
cargo run -p dr-gpu --example bench --features readback
still reproduces that measurement. The one exception is the Android develop view, which reads the frame back through the CPU because zero-copy there needs wgpu's Vulkan swapchain, and that tears a portrait window on a tablet whose panel is mounted landscape. It is debt, not a revision of the rule: the reasoning, the on-device measurements that forced it, and the three separate things any one of which would remove it are in technical-debt.md TD-1.
Not built. Plugins, compare and survey culling, focus peaking, burst grouping, AI denoise, tiled and progressive rendering, and most of the Android platform integration beyond running. The performance targets in §4.1 are unverified rather than unmet — the per-commit benchmark suite §8 requires does not exist, so nothing fails a build on a regression. docs/outstanding.md is the list, with the reasoning.
Licence
GPL-3.0-or-later.