dtourolle d430ec9528 Drop a detail pass that changes nothing when it sits between two others
Capture sharpening at a scale too coarse to draw its radius emits one pass
with an empty body (`nothing_to_sharpen`), so that a chain still ends in
something that performs the output transform. At fit on any modern sensor
that is most of the time. When another neighbourhood operation follows it
- dehaze, clarity, texture - the pass is not last and does nothing: it
reads the rgba16float intermediate and writes the same texels to the other
one. It still cost a full render-sized read and write every frame:

  scene                           before     after
  sharpen+clarity 2560x1600 fit   18.66 ms   14.16 ms
  sharpen+clarity 3840x2160 fit   37.93 ms   27.88 ms
  every operation 2560x1600 fit   71.80 ms   67.24 ms
  clarity alone   2560x1600 fit   14.23 ms   14.20 ms  (control)
  sharpen+clarity 2560x1600 1:1   23.01 ms   22.97 ms  (control: resolves)

(Laptop RTX 3050 held at 420/810 MHz by its power cap, synthetic 60 MP
source, median of five alternated runs of forty frames each.)

`compose_detail_with` now drops such a pass where dropping it is exact:
not the last pass, whose output transform would otherwise move onto the
previous pass's f32 result and round differently; and not a pass right
after a reduced one, because a full-resolution pass is what closes the
reduced chain for the operation after it. `DetailPass::is_identity` says
what "changes nothing" means: full size, nothing bound at binding 3, and a
body with no code in it.

The rgba8 output is bit-identical: every scene above hashed the same
before and after, and the sharpen+clarity frame hashes the same as clarity
on its own, which is the claim in one line. A new dr-pipeline test pins
the three cases - dropped ahead of another operation, kept when last, kept
when alone.
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DarkRoom

A non-destructive RAW photo editor and library for Linux and Android, with a GPU develop pipeline, a catalog that syncs between devices, and no account, no telemetry and no cloud of its own.

The library: seventy frames, the timeline beside them, the filter bar above

The manual shows every feature, pictured from the application itself. This page says what it is, how to get it, and what is still missing.

What it does

A library. Point it at a folder — on this machine, on a network mount, or one a Nextcloud client keeps in virtual-files mode, where a placeholder is treated as the photograph rather than as a one-byte file — or at a Nextcloud account directly. The grid is virtualised, ordered by capture time with a timeline beside it, and filtered by rating, flag, person and whether the file is here. Ratings, keywords, collections and a trash that survives a crash mid-operation. Card ingest. Bursts fold. Face detection and identity, with the index syncing between devices.

Developing. Eighteen declared operations fused into one compute dispatch, plus the neighbourhood work that cannot be: clarity, texture, capture sharpening, noise reduction, lens correction, spectral film simulation. Crop and straighten, spot repair, and local adjustments over masks the model draws — click a subject or a category, then paint, subtract a gradient, grow or shrink the edge. Focus peaking and a raw histogram for judging what is recoverable. Named presets; XMP sidecars other editors read.

Segmenting an urban scene and choosing the sky as a mask

Panoramas. Select the frames, align, choose a projection, fill the ragged border rather than crop it, and the composite lands beside its sources as a DNG, with a sidecar recording what it was merged from.

Twelve hand-held frames aligned on a cylinder

Export. JPEG, PNG, AVIF, JPEG XL, 8- and 16-bit TIFF, with resize, output sharpening, a naming template and a colour space — to a folder here or back into the library.

On both platforms. The same core runs on a desktop and a 12-inch tablet; the interface is one layout, tuned for a wide viewport with touch targets throughout. On both, the develop view draws the compute pass's texture directly — no readback between the GPU and the screen.

Getting it

Platform How State
Arch Linux packaging/PKGBUILD — makepkg -si Built from every release
Android The APK from each CI run, or ./docker/android/package.sh --install Runs on a tablet; F-Droid not yet submitted
Windows DarkRoom-<version>-x86_64-setup.exe, cross-built by CI (windows.md) Verified under Wine only; unsigned
Flatpak packaging/flatpak/ Manifest in tree; choosing a library does not yet work in the sandbox

Or build it. Git LFS is required for the model weights, and the toolchain pins itself to 1.92.0:

git lfs install && git lfs pull
cargo run --release -p darkroom-desktop

Android, through the containerised toolchain (docker/android):

./docker/android/build.sh cargo ndk -t arm64-v8a build --release

CONTRIBUTING.md has the system packages, the four commands CI runs against what you send, and the shortest useful contribution — a develop operation is one YAML file, and it arrives with its controls, its place in the chain and its tests.

Where it stands

0.15.0, twenty-three tagged releases in. 190 numbered requirements in scope, 84% of them claimed by code and traced to it; the rest are written down rather than merely absent.

Not built: plugins (post-v1, D12), compare and survey culling, AI denoise, tiled rendering, HDR merge and focus stacking, most of the Android platform integration beyond running, and the Flatpak's library chooser. The performance targets are half verified: the per-commit benchmark suite §8 requires exists for everything that does not need a frame — the catalog, the scan, the thumbnails — and not yet for the render path, so a regression there fails nothing. outstanding.md is the list, with the reasoning for each.

Documentation

docs/README.md is the index. The short version, for someone using it:

manual Every feature, pictured
gestures.md How it is driven — generated from the code, so it cannot describe a gesture that does not exist

For someone changing it:

CONTRIBUTING.md How to land a first change without reading the rest
requirements.md What the software must do — the numbered register, and the decisions
architecture.md How it is built — crates, the GPU pipeline, the 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

Designs, one per subsystem: segmentation and mask editing · spot removal · panorama · faces · inference · storage and sync · catalog · display and extension · navigation · distribution · windows · benchmarks.

Licence

GPL-3.0-or-later. The photographs in the manual and the test fixtures are the author's and are there to show and test this project, nothing else. The model weights carry their own licences — models/LICENCE.md.

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