6925aa2a86dae439ac910732d284a9f1b316e6e9
8
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
  dtourolleandClaude Opus 5
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6d18517d28 |
Ship every stock that exists, black and white included
Three profiles was what the first cut needed to prove the model. This is the rest of the open data: 23 camera stocks and 9 papers, which is all of spektrafilm. Black and white was the gap, and it turned out not to be a gap in the data -- it was a gap in where I looked. Upstream's `main` has 28 colour profiles and nothing monochrome; `dev` has three more, and they are Tri-X, Double-X and the 2302 print film they go onto. So the answer to "do we have B&W" was yes all along, and it needed the dev branch rather than a fortnight digitising Ilford's datasheet graphs by eye. Those three are pinned to `dev` per stock; the colour stocks stay on the released branch. A monochrome profile is single-channel -- one emulsion, not three -- and spreading that one layer across all three is exact rather than an approximation: three layers with identical sensitivity and identical curves respond identically, which is what one layer does. The dye is the trap. The renderer *sums* the three layers' contributions, so replicating it unchanged renders every frame three times too dense -- neutrally, and therefore plausibly. A third each reconstructs the single emulsion, and two tests hold both halves: that the densities stay equal, and that they sum to one emulsion and not three. Double-X and 2302 ship five curves apiece, measured at five development times -- 4 to 12 minutes for Double-X. That is push and pull processing as measured data. The standard 6.5 minutes is what ships; the rest is in the upstream file waiting for a control to ask for it. Two stocks are `support: film` and are nevertheless what a negative is printed *onto*: the cine projection films 2383 and 2393, which the Vision3 stocks print to. Filtering the picker on support alone offered a projection stock as something to load in a camera, so it filters on stage, with a test saying so. The picker had to change shape twice over. Chips were right for three stocks and off the edge of a 280px column at twenty-four, and the column that replaced them was a thousand pixels standing between the photographer and every slider below. It is a disclosure now: one row carrying the answer, opened to change it, closed again on choosing. That is the opposite of the argument this panel used to take the lids off its sliders, and deliberately so -- an instrument you compare wants to be visible, and a list you consult once wants to be out of the way. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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dtourolleandClaude Opus 5
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b6a95e1965 |
Simulate a film stock from its measurements, not from someone's grade
FR-DEV-3f asks for look emulation and proposes HaldCLUT import to inherit
the free film-simulation ecosystem. This takes the other road for the
stocks where the measurements exist: run the physics.
A stock here is its manufacturer's own datasheet -- spectral sensitivity,
characteristic curves, dye densities. Light exposes three emulsion layers,
the layers develop to densities, the densities are dyes that absorb, and
what is left is what reaches the eye. A colour negative comes out orange
and upside down because that is what a colour negative is; it becomes a
photograph when a paper profile prints it, with the enlarger's filtration
solved rather than dialled.
What that buys over a LUT is that the parameters stay physical. Opening up
a stop moves the picture along the film's real characteristic curve,
shoulder and all, instead of scaling a number baked at one exposure. The
data cost runs the other way too: a stock is 17 kB of published
measurements where one HaldCLUT is 800 kB of one person's grade.
It looks like it needs a spectral integration per pixel. It does not, and
that is the whole design:
- Exposure is a 3x3 matrix. The reconstructed scene spectrum is linear
in the sRGB triple, so the integral collapses into nine numbers,
exactly -- no approximation.
- The characteristic curve is three 1D functions, sampled exactly.
- Everything after that -- dye absorption, the print through the
negative, the paper, the viewing illuminant, the adaptation -- takes
exactly three numbers in, so it bakes into one 32^3 lookup.
Per pixel: a matrix multiply, three curve taps, one fetch. Splitting the
curve out of the 3D lookup rather than baking one LUT over exposure is
measured, not assumed: the curve carries the sharp shape and the dye
mixing is smooth, so folding them together would need three times the
resolution for the same error. At 32^3 the worst error is 0.003 in linear
sRGB, under one 8-bit code value, and a test says so.
No wgpu dependency, deliberately, and the same isolation argument dr-lens
makes: the model is plain f32 with a documented layout, so every property
worth asserting is asserted on the CPU. Binding it to a texture is dr-gpu's
job and is not done here yet.
The expected values in tests/ came from a Python prototype running against
a different colour-science stack. Agreement to three decimals is evidence
about the model rather than about one implementation of it -- a transposed
matrix or a mispasted observer row would pass every unit test and fail
that one.
Profiles are converted from spektrafilm by Andrea Volpato, CC BY-SA 4.0.
The converter is in the tree and runnable, so what was changed from
upstream is auditable rather than taken on trust; profiles/CHANGELOG.txt
records it, including the one deliberate deviation -- Mallett & Yuksel's
1 kB basis instead of Hanatos's 4 MB table, which costs accuracy at the
gamut edge and saves four megabytes.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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dtourolleandClaude Sonnet 5
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e6b01226eb |
Let the segmentation export script pick its own input size
Comparing a larger model against a larger input size meant re-exporting at resolutions other than the shipped 640, and the script only ever wrote that one number. `IMGSZ` is now a second positional argument, defaulted to 640 so every existing call is unchanged. The experiment this was built for found bigger input a net loss on its own merits — yolo26n-seg and yolo26s-seg at 1280 both lost track of large, frame-filling subjects (a bus's box shrank and its score nearly halved) in exchange for catching small or partially-occluded ones tiling already handles. Nothing shipped from it, but the ability to re-run that comparison is worth keeping. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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dtourolleandClaude Opus 5
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5a0a9719eb |
Set the version once, in one place, for every artefact
The workspace read 0.1.0 for two releases, so every desktop binary reported a version two releases stale. The APK was worse: `AndroidManifest.xml` states no version at all, so a device showed `versionName=null` and `versionCode=0` while the library inside the APK knew exactly what it was. A version edited by hand in several files is a version that is wrong in at least one of them. `tools/set-version.sh` is now the only thing that sets one. It takes the version from the latest git tag, or is told, and writes the two files that must state it before anything is built: the workspace `Cargo.toml`, from which every crate inherits, and `packaging/PKGBUILD`, which pacman reads before a build exists. It refreshes `Cargo.lock`, because members appear there by version and CI builds `--locked`. `--commit` commits the result. Android is not in that list on purpose. `package.sh` reads the version out of `Cargo.toml` and hands it to `aapt2 link`, so the APK cannot drift from the binary it contains — there is no third file to forget. `versionCode` has to be one increasing integer, which a semantic version is not, so it is packed as MAJOR*10000 + MINOR*100 + PATCH: ordered the way Android requires, and readable at a glance. A version that is not MAJOR.MINOR.PATCH is refused rather than coerced. It is a contract with whoever reads a bug report, and silently turning "0.4" into something else is worse than being asked to type it again. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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dtourolle
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0da8271836 |
Let the model say what a thing is and the watershed say where it ends
Local masking needs to know where an image's regions are. The watershed spike (S15 arm A) found the boundaries but had no idea what any of them enclosed; its coarse levels were geometric accidents. This adds the other half and the thing that joins them. `core/dr-segment` is where region reasoning now lives — the hierarchy moves out of `dr-gpu`, which keeps only the pixel passes that are genuinely shaders. The new crate is device-free and, without its default features, model-free too: 20 of its tests need neither an adapter nor 11 MB of weights. Arm B runs YOLO26n-seg through `ort`. D13 framed inference as a choice between `ort`'s C++ runtime and the pure-Rust dependency policy; that was a false choice. `ort`'s `alternative-backend` feature unlinks the C entirely and `ort-tract` supplies the API from tract, which is pure Rust. Measured before committing to it: zero unsupported operators, 420 ms for 640x640, and correct masks on bus.jpg. No NDK problem to solve, so D13's largest tolerated exception is not needed. Arm C is `prior.rs`, and it ships because the two arms fail in opposite directions. Instance membership re-weights the merge saddles, so region pairs the model believes share an object merge early and pairs straddling its edge merge late. No boundary moves — only the order in which they dissolve — which is how the result stays pixel-accurate at every level while its coarse levels become named things. Two things the spec assumed that turned out to be false, both recorded in models/LICENCE.md: there is no usable ADE20K-trained YOLO, so the shipped vocabulary is COCO's 80 subjects and *stuff* like sky and foliage must come from arm A; and tract cannot parse a dynamic-shape export, so the graph's input is fixed and tiling is the only route to more semantic resolution. Weights are AGPL-3.0, which GPLv3 §13 permits and which makes the combined work effectively AGPL. Deliberate, not accidental. They live in Git LFS, and a build script fails with an instruction rather than embedding a pointer file when the clone lacks them. |
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dtourolleandClaude Opus 5
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7c57f490fe |
Declare a develop operation in YAML, and generate the rest
An operation was, in the overwhelming majority of cases, four facts: what its parameters are, what uniforms they compute, what WGSL those uniforms drive, and where it sits in the chain. Written in Rust those four facts arrived wrapped in ninety lines of trait implementation — a match on parameter id to a struct field, another match back, an is_active comparing each field to its default, a Vec<Uniform> built by hand. All mechanical, and each one a place to make a silent mistake: a param() arm returning the wrong field reads perfectly and breaks the sidecar round-trip. So the four facts are the file now. core/dr-pipeline/ops/<id>.yaml is a node, build.rs compiles it into the same Operation impl as before, and the result lands in OUT_DIR — the same reasoning as style.yaml -> theme.slint, including why it does not land beside the sources it would look exactly like. Nothing downstream can tell a declared node from a hand-written one: same &'static OpDescriptor, same fused-shader composition, same sidecar. Nine nodes moved: exposure, white_balance, contrast, highlights_shadows, blacks_whites, brilliance, vibrance, saturation, and the shared WGSL helper registry. Their prose came with them, and so did their tests — set/expect/expect_active/expect_wgsl in the declaration compile to real #[test]s, so a node file carries its own proof rather than leaving it behind in a file that no longer exists. Two stayed in Rust and say so with `rust:`. The tone curve's neutral is a relationship between five interpolated points rather than a set of values; the colour mixer generates thirty-six faceted parameters from twelve computed hue bands. A schema stretched to cover either would be a worse language than Rust aimed at one caller. They still declare their position here, because the chain's *order* is the one thing a reader comes to this directory to learn, and an order written half in YAML and half in Rust would be worse than either alone. default_chain() is generated from it. Uniforms are derived by a small expression language — exp2(exposure), blacks / 100 * 0.02 — compiled to Rust rather than interpreted, so an unknown name or a wrong arity is a build error naming the file and the key and the arithmetic costs nothing at runtime. The build script refuses a duplicate order, a filename disagreeing with its id, a default outside its own range, a test value the graph would clamp before the node saw it, a helper that does not define the function it names, and a declared node colliding with a file in src/ops. Verified by adding a scratch node and removing it again: one file, no other edit, and it joined the chain at its declared order with its test running. 237 tests pass in dr-pipeline, clippy and fmt clean. .yaml joins the traceability tool's scanned suffixes, because a node's Rust now lives in OUT_DIR where a tag could never be linked from the report. Coverage 47.7% -> 48.3%. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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dtourolleandClaude Opus 5
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03326242a1 |
Make the CI checks say what they mean, and format the workspace
The Android job's "Verify minimum API level" step has never verified the minimum API level. It took the first `*.so` anywhere under the target directory, which is a host proc-macro from debug/deps — an x86-64 object built by the runner's gcc, whose .comment section cannot mention Android and so can never contradict the expected value. It now reads the artifact under the target triple, compares against MIN_API parsed from the Dockerfile rather than a second copy of the number, and fails on a mismatch. Both sides are checked non-empty first: two failed parses would otherwise compare equal and pass, which is the same silent success in a new costume. The Android image installs one SDK package per layer and keeps the output. sdkmanager is a JVM program that aborts when it cannot get memory, and the single `> /dev/null` step reported that as a bare "exit code 134" while a retry re-downloaded everything that had already succeeded. tools/ci-local.sh runs all four jobs — desktop, android, layering, traceability — against the host toolchain, which is pinned to the same 1.92.0 CI installs. Its matrix check compares regeneration against the working tree rather than against HEAD: CI starts from a clean checkout, so git's answer is the right one there and reports every local run stale here. The rest is rustfmt across the workspace, and the clippy findings that surfaced once it did: manual_contains in dr-thumbs and collections_ui, a map iterated as pairs for its keys, an index loop over a slice, and two runtime assertions on a constant now made at compile time. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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dtourolle
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0f202fd3f9 |
Add requirements traceability gate and Gitea pipelines
Ports JellyTau's traceability tooling to Rust, carrying across the bug it was repaired for. That gate divided a traced count by frozen literal denominators; the requirements file outgrew them and it reported 158% coverage, so it could never fail its own threshold. Two rules, both enforced by the extractor's own tests: - denominators parsed from docs/requirements.md at run time - coverage is |traced ∩ defined| / |defined|, never a raw traced count The gate additionally fails hard on a misconfigured run — zero requirements parsed or zero files scanned — rather than reporting a plausible 0%, and on any orphan tag naming a requirement that does not exist. Adapted for DarkRoom: IDs are FR-CAT-1 / NFR-P13 / FR-DEV-3a shapes rather than JellyTau's fixed three digits, and decisions (D), spikes (S), milestone items (M) and test ids remain taggable while being excluded from the denominator — counting them inflated it by 25. Also adds dr-sync: the RemoteBackend trait and capability model, so the Nextcloud connector is one implementation rather than the only shape the engine understands. No mature Nextcloud crate exists (reqwest_dav is too thin), so the connector will be hand-rolled over reqwest per D7. Gitea workflows follow the same style: containerised, commented with the reasoning, desktop and Android on every push, plus a CI check that no core/ crate depends on the UI toolkit (ARCH §6.5a). Coverage today: 13.3% (19/143). 50 tests passing. |