An export larger than the photo came back flat: the model was never shown the
finest detail the photo held. Before it ran, the source was drawn down to
`scale / 4` of its size — floored at half — and only then handed over, on the
reasoning that a four-for-one model reading `target / 4` invents exactly the
destination and a whole photo would waste three quarters of its output. That
holds for a perfect resampler; it is not what this one is. A 2400px photo going
to 4K was fed at 1200px, and detail finer than the feed's own pixel — 1px
stripes, skin, foliage, fabric — was averaged into flat grey before the model
ever saw it. The draw then had that grey to enlarge, and no model can put back
what it was never given.
The feed is now the bitmap itself, read once at its own size: `drawImage(bitmap,
0, 0)`, no intermediate scale, no floor. The model's four-for-one is spent in
the destination draw instead, which reduces to `scale` and keeps what the photo
actually held. That draw also stops defaulting to `low` — it is usually a
reduction by up to four, and `low` would keep one sample in four of what the
model has just drawn.
Measured against the same running stack, a 2400x1800 source exported at 4K with
bands of 1/2/4/8/16px stripes and a patch of per-pixel grain, each band scored
by how it correlates with the pattern the source held at the source's own pixel
pitch (`r` / on-minus-off swing), plus the grain's high-frequency energy:
p1 p2 grain sd secs
before -0.01 / -0.0 0.94 / 204.0 13.9 51.0
after 0.89 / 179.3 0.95 / 214.7 25.3 188.4
hqresize 0.96 / 83.2 0.99 / 125.9 16.1 —
The 1px band went from uncorrelated and flat to 0.89 — the finest detail the
photo has now reaches the file. Grain lands above the plain-resize reference
rather than below it, which is the model enlarging texture instead of a filter
smearing it.
ponytail: the whole photo per tile means 80 tiles for a 2400px source where 20
were enough, so the wasm path (no WebGPU in the test chromium) grew from 51s to
188s for that export. It is the price of the detail and it is paid once per
export, off the critical path; a device with WebGPU, or a smaller source, does
not pay it this way.
Verified on the rebuilt container (BASE=http://localhost:8090):
- sr-detail-probe.cjs, midtone source so the app's tone pipeline cannot clip
the very detail being measured (an earlier all-contrast version of it reported
"grain 0.00" for the model AND for a plain resize — it was measuring the clip)
- superres-test.cjs 32 PASS / 0 FAIL (export sizes, 4K tile seams clean)
- sr-crop-export.cjs 0 FAIL
- npx tsc --noEmit clean.
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.