dtourolle
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Build and test / Desktop (Linux) (push) Successful in 2h7m41s
Build and test / Layer separation (push) Successful in 46s
🐳 Android image / Build and push (push) Successful in 3s
Build and test / android-image (push) Successful in 3s
Traceability / Requirement traces (push) Successful in 41s
Build and test / Android (aarch64) (push) Successful in 21m1s
`request_adapter` with `HighPerformance` returns one adapter and no second chance. That is right on a healthy machine and wrong on one with a sick GPU, which is not rare: observed 2026-08-29 on a laptop whose discrete card had hit an NVRM assertion failure and a fullchip reset. The driver still advertised it, wgpu dutifully picked it as the highest performing, and the process died on it — while a working integrated GPU and a working external card sat unused in the same enumeration. A photo editor that will not start because the *fastest* GPU is broken, on a machine holding two that are not, is worse than a slow one. So: enumerate, order by preference, take the first that yields a device. The ordering reproduces what `HighPerformance` meant, so a healthy machine picks what it always picked and pays one enumeration for it. A CPU adapter sorts last rather than being excluded — software rendering is a poor experience and a working one. Which GPU to prefer is now a policy rather than an assumption, because the fastest is not obviously the right one. A 24 MP frame is ~96 MB of RGBA and every upload and export readback crosses PCIe on a discrete card, where an integrated GPU shares memory and crosses nothing — and does not empty a battery. Measured before choosing a default, on this machine's Iris Xe against its RX 5700 XT. The fused colour pass is within 1.5x, which is the shape shared memory suits. The neighbourhood stage is 5-8x slower, and that decides it: clarity at 1920x1200 costs 20 ms on the iGPU, over the budget on its own at the smallest size tested. So `Performance` stays the default and `Efficiency` is offered rather than chosen (`DARKROOM_GPU=integrated`). docs/frame-budget.md carries the table, and says what it does *not* show: the harness renders from a resident texture and never uploads or reads back, so the transfer cost an iGPU avoids appears in none of it. Import, export and the thumbnail sweeps may well go the other way. What this cannot fix: a GPU sick enough to accept `request_device` and segfault afterwards, which arrives as a driver crash rather than an error. It moves the boundary from "the preferred adapter is unusable" to "unusable and dishonest about it".
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.