3dtours
224ff0b935
LibRaw's half-size demosaic was on. The Ricoh GR's own DNG (D0004128.DNG) developed to 3010x2012 while the JPEG written beside it in the same second is 6000x4000, and the Fuji's RAF to 3008x2007 against its own 6000x4000 -- the quarter was the flag, not the file. With `halfSize: false` the same develop returns 6020x4024 and it is the sensor's frame on every body tried: D0004128.DNG 6020x4024 IMGP6916.DNG 6028x4024 DSCF1701.RAF 6016x4014 _DSC0009.ARW 6024x4024 AFXT2721.RAF 6246x4170 Nikon-D850 NEF 6216x4136 _GDN0447.NEF 4284x2844 P1010607.RW2 3472x3472 5G4A9396.CR2 2880x1920 Nine files, 27s to 155s a develop on one core. Checked through the app itself, not only through LibRaw: photo-dims 6020x4024 on the DNG against 6000x4000 on the JPEG, both err none. The colour it opens with is now fitted per file to the preview the camera wrote into it (previewMatch.ts): a 3x3 over a block grid of the develop against the same grid of that preview, then one cubic a channel for what the 3x3 leaves. The offline per-body table this replaces (cameraMatch.ts) stopped matching the moment the path under it changed -- its rows no longer summed to 1 once the highlight knee landed ahead of it -- and a body with a row opened with a cast one without did not. The file's own preview does not age. The white level the gain carries is the frame's own plateau rather than `maximum` (sensorWhite.ts), a factor of 1.89 to 2.00 out; without it every frame opened a stop bright and a body that sat lower (X-Trans, 1.892) never reached the highlight desaturation at all. The desaturation gate reads the gain-lifted levels as well as the sensor's, which is the whole of the magenta: on a body whose cam_mul lifts red and blue (the GR's [2.64, 1, 1.73]) a blown sky crosses the white level at 0.38 of the raw range in red while green crosses at 1.0, so a gate read on the sensor's levels alone stayed shut across it. Measured in the app against the camera's own JPEG, mean dRGB over a 16x16 block grid: +1.20, -5.95, -6.11 with the sensor's clip alone, +0.21, +0.24, +0.47 with both, mean |dL| 21.5 against 10.3. The same grid on the Fuji comes back balanced (+4.7, +5.0, +3.6) and best aligned at offset 0,0. -HL is recovery and +HL is a lift, so they are different moves now: recovery is the doc's soft knee in linear light over the top half, which is the only term in the tone shader that is not a shift and the only one that can put detail back into a blown sky rather than merely darken it. The four checks pin the develop down where it can only run in a browser: raw-develop-check, preview-match-check, white-level-check, highlight-knee-check.
RecipesCam
RecipesCam is a camera and photo-editing app built around recipes — reusable
looks that carry a film simulation plus a full set of adjustments. You shoot or
open a photo, dial in a look, and keep it as a recipe you can apply again, share
as a .recipe file, or save to your account.
It ships twice from one repository: a React Native (Expo) app for iOS and
Android, and a self-contained web build under docker/ that runs the same
render pipeline in the browser.
What it does
- Shoot with a recipe applied. Live viewfinder, GPS-tagged captures, and the recipe baked into the saved file.
- Film simulations. Built-in looks — PROVIPES, VELVIPES, CLASSIC CHRIPES, CLASSIC NEGIPES, ASTIPES, ETERNIPES, ACRIPES, B&W HIGH CONTRAST and the LC STREETLIFE pair — each with its own grain and tone curve.
- The full adjustment set. Exposure, contrast, highlights and shadows, saturation, colour temperature, clarity, grain, and an HSL mixer with a colour picker that samples straight off the photo.
- Geometry. Crop to a fixed ratio or free-form, quarter turns, and a straighten ruler, plus printed frames (classic border, retro instant, wall frame portrait/landscape).
- Finishing. Watermark and GPS stamp, EXIF carried through the export, JPEG written with a proper 300 DPI JFIF header.
- On-device upscaling. A Real-ESRGAN pass runs locally when an export asks for more pixels than the source has — no server sees the photo.
- Recipes. Save, favourite, export and import
.recipefiles; the web build keeps them in your account, the phone build also keeps them on device.
The two builds
| Build | Where | Stack |
|---|---|---|
| iOS / Android | repo root | Expo + React Native, @shopify/react-native-skia for the render pipeline, NativeWind for styling |
| Web | docker/ |
Vite + React, CanvasKit (canvaskit-wasm) for the same pipeline, Fastify + SQLite API for accounts and recipes |
The render engine is shared by design: the web build compiles the app's own
src/utils/* and type definitions unchanged, with @shopify/react-native-skia
aliased to a CanvasKit shim (docker/frontend/src/engine/skiaShim.ts). A look
looks the same on both because it is the same code.
Running the web build
cd docker
cp .env.example .env
docker compose up -d --build
# → http://localhost:8090
Photos never leave the browser: grading, framing, watermarking and JPEG
encoding all run in the visitor's tab; the API only stores accounts and recipe
JSON. See docker/README.md for the layout and the proxy setup.
Running the app
npm install
npx expo start # Expo Go / dev client
npx expo run:android # or run:ios for a native build
Repository layout
App.tsx, src/ the Expo app: screens, tool rail, viewfinder, shaders
docker/ the web build (frontend + API + compose file)
frontend/shared/ vendored copies of the app's types and utils
frontend/src/engine/ CanvasKit shim, export engine, super-resolution
docs/ privacy policy
THIRD_PARTY_NOTICES.md licences of the bundled fonts, models and libraries
Licence
See LICENSE and THIRD_PARTY_NOTICES.md.