dtourolle 05508741af Start the inference engine from both apps and show its choice in Settings
The desktop names where a package may have put libonnxruntime — an
override variable, beside the executable, the package's own library
directory, the Flatpak prefix, the system library directory — and
Android points at the APK's native library directory, which is also
what Qualcomm's DSP loader must be told for the Hexagon skel. Android
starts the engine at the end of the model unpack rather than at launch,
because the probe fingerprints the model files and a first launch has
none until then.

The About panel gains an Inference row beside Graphics, re-read every
two seconds while the probe runs and engines land, and faces.model_id
carries the detector's form: an int8 detector finds a different set of
faces and is a different population (docs/inference.md §7). A
low-memory signal drops every idle session with the GPU caches.

The APK assembly bundles ONNX Runtime and the Qualcomm HTP libraries
from Maven, fetched by tools/fetch-android-runtime.sh with their
published checksums; RUNTIME_DIR=none builds the tract-only APK, which
is a slower app and not a broken one. The desktop packages carry no
runtime yet.

Two probe fixes from the first desktop run: the floor must not be
built with CPU fallback disabled, and a versioned libonnxruntime.so is
a runtime too. On the reference desktop the probe now loads ONNX
Runtime 1.30, measures 30 ms on the CPU provider, and selects TensorRT
at 1.5 ms.
2026-09-19 16:02:37 +02:00
2026-09-19 16:02:37 +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.

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