dtourolleandClaude Opus 5
e7b526c550
FR-CULL-8 said detection runs against the thumbnail or proxy tier and never a full decode, and faces.md §5 said the aligned crop is sampled from that same proxy. Both are wrong in the same place: they treat detection and cropping as one resolution problem when they are two, with opposite answers. Detection does not care. §4.1 fixes the graph's input at 640x640 and letterboxes whatever arrives, so a face filling 2% of the frame reaches the model at 12px whether the buffer handed over is 1024px or 6000px. Every pixel above the detector's own input is discarded before inference. The crop cares about nothing else. §5's warp produces the fixed 112x112 ArcFace sees, so source resolution converts directly into whether those 112 pixels were photographed or interpolated. Reading crop_px across the 18,671 faces the proxy-tier implementation stored: 47.3% were upsampled to reach the embedder, 314 of them by more than 2x, the smallest from 34 source pixels. An upsampled crop does not fail loudly -- it yields a confident embedding of detail that was never there, and the damage appears three stages later as clusters that will not separate. So FR-CULL-8 now specifies four stages with the resolutions named separately: render native through FR-EXP-9's pipeline, downscale for the detector, map boxes and landmarks back to native, crop and align from the native render. The affordability the old rule bought is met instead by when the pass runs -- background, preempted, resumable -- and the requirement says plainly what it now costs on a remote library: the original rather than FR-NC-3's byte range, 412 GB across the reference library's 19,107 images, so a whole-library pass is a transfer under FR-NC-6 rather than something that may start on its own. MIN_CROP_EDGE replaces the MIN_DETECT_EDGE this branch briefly had. Same number, guarding the quantity that turned out to matter. faces.md §7b records both measurements, and marks the second as unexplained rather than dressing it as a finding. Grouped by the buffer detection ran against, faces per image was 0.078 at 1024 or below and 1.82 at 2048 or better, controlled for file type and size. That gap is real and reproducible and I cannot account for it, because the letterbox above says detector input should not matter. M4 is where it gets settled. The crop measurement does not depend on it. 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: 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.