4ed10f7b237ce9645afa84c2f6c6b8452547f297
The face shards carry boxes, landmarks and embeddings. What they deliberately do not carry is who anybody **is** — the person rows, their names, and the assignments joining the two. Those travel in the catalog snapshot, which is a whole-file copy and does contain them. But the snapshot is *merged*, not adopted, and this merge only ever looked at collections and keywords. `face_shard`'s own module note says people travel in the snapshot; nothing implemented it. So a second device received every face and no people at all, and drew an empty People screen over a full catalog. Exactly what a tablet showed after syncing thousands of faces from a laptop. What travels is what the user decided, following the rule the rest of this module already follows — judgements travel, inference is rebuilt: - **People**, by uuid on `revision`, exactly as a collection is: the name, and whether the group was set aside. - **Confirmations**, and **rejections** — "this is not her" is a fact too, and is why re-clustering does not put it back. - **The suggestions inside an ignored group**, which are otherwise ordinary inference but are what anchors the ignore. Without them a group set aside on one device reappears on the other, the same fault that made "Not interested" not stick locally. Ordinary suggestions are not carried. Both devices hold the same embeddings and clustering is deterministic, so each recomputes them and arrives at the same answer; shipping them would double the merge for no new information. **A face has no cross-device identity**, and unlike a collection there is no uuid to give it one. Both devices do agree on `oc:fileid` and roughly on the box, so a remote face is matched to the local face on the same photograph whose box overlaps it most, above 0.5 IoU. That is not a new rule — it is the one `record_detections` already uses to carry a confirmation across a re-index, and it is loose on purpose: the question is "the same face in the frame", not "the same rectangle". A local confirmation is never overwritten. Two devices confirming one face as different people is a real disagreement and an assignment carries no revision to settle it with; taking the remote's answer would let a sync undo what the user just did on the device in their hands. The remote's schema is probed rather than assumed: `remote_is_mergeable` admits any catalog at or below this version, so one written before faces existed, or before V10 added `ignored`, is ordinary. An absent table skips this half instead of aborting a merge that would otherwise have succeeded. Nine tests, including that the name lands on the overlapping face and not its neighbour in the same frame, that a set-aside group stays set aside, that an ordinary suggestion does not travel, and that merging twice changes nothing. 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%