dtourolleandClaude Opus 5 763dfd353a Weigh the categories in the same precompute, and mask with them
The scene model shipped with a decoder and no caller. This runs it.

## Beside the instance pass, not instead of it

`compute` now does both on the same upright frame and lays both back down
the same way, so instance masks and category masks index into one grid —
the sensor's. A failure in the scene half is logged and dropped rather than
propagated: no scene model is an ordinary state, and a photograph that can
still be masked by subject should not become unopenable because the
categories are missing.

Categories under half a percent of the frame never reach the cache. A
control that does nothing when moved is worse than an absent one, and each
one it skips is a proxy-sized buffer not allocated.

## The shader needed nothing

A category reaches `dr-gpu` as a soft coverage buffer at proxy resolution,
turned into a distance field — which is exactly what a subject is. So they
share `MODE_SUBJECT`. That is not a shortcut taken for speed: the shader has
no way to tell them apart and no reason to want one. What differs is only
which model produced the coverage, and that has already happened by then.

Feather, falloff, dilation and erosion therefore work on a category on the
day it arrives, because they were never subject-specific.

## Where the weights come from

`scene-model` compiles the graph in and the desktop app takes it; Android
leaves it off and reads the copy `install_bundled_models` unpacks, because
24 MB of constant is worth avoiding in a mobile install and not worth the
plumbing to avoid on a desktop one. Embedded is tried first — a build that
has the weights compiled in should not be silently overridden by a stale
file in a data directory.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-30 14:02:22 +02:00
2026-08-26 10:08:51 +02:00

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.

S
Description
No description provided
Readme GPL-3.0
1 GiB
2026-10-07 11:27:59 +00:00
Languages
Rust 86.1%
Slint 10.3%
Python 1.1%
Shell 1%
WGSL 0.9%
Other 0.6%