3dtours
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sensorWhite hung its nine counts of window off the plane's largest sample. A hot pixel sits hundreds of counts above the level the sensor stops at, so on a frame that carries one the window held the stray alone, found no pile in it, and handed the develop the factor two instead of the frame's own level. Measured on a Panasonic DMC-LX10 RW2: one sample at 15993 and one at 14665 over a pile of 9,594,544 at 13855. The frame's level is 1.75x the fall-back, so the develop opened 0.81 of a stop bright, clipped the sky the sensor had held to flat, and the fit to the camera's preview could only pull the exposure back after the highlight detail was gone. Against the camera's own JPEG of the shot, mean |dL| 23.48 and dRGB +8.57,+0.90,+4.90 became 19.14 and +5.32,+1.89,+2.04, and the level itself 7908 (gain 8.2872) became 13874 (gain 4.7236) against the 13855 the plane piled at — 0.14%, 0.002 of a stop. The level is now the highest count the plane piled at, off a whole-plane histogram: `floor` counts is a pile, and the same cliff rule as before still has to hold over the count below it, so a smooth bright sky is left alone and a frame that has not clipped still falls back on the factor two. The same stray was in four of the ten bodies to hand. A Nikon _GDN0447.NEF read the fall-back 8190 where its plane piles at 13806 (gain 8.0018 -> 4.6022, 0.79 of a stop), a Fujifilm RAF 29696 where the documented level is 30993, and a Sony ARW 31742 against the 2.002x the body's ratio was measured at. Six were untouched, and a Canon CR2 develops byte-identical through the change — the window moves only on a frame whose largest sample is not its highest pile. scripts/white-level-check.mjs keeps the LX10 shape: a plane piled at 30995 with a stray above it has to answer 30995.
RecipesCam web — self-contained stack
A Docker-hosted web build of RecipesCam. Everything it needs is in this folder: move it to another machine, run two commands, and the app is up. It does not need the React Native project around it.
cp .env.example .env
docker compose up -d --build
# → http://localhost:8090
What runs where
| Service | Image | Role |
|---|---|---|
frontend |
nginx:1.27-alpine (built by frontend/Dockerfile) |
Static SPA + /api/ reverse proxy |
api |
node:22-slim (built by backend/Dockerfile) |
Accounts + saved recipes, SQLite on ./data |
frontend resolves api through Docker's embedded DNS and proxies /api/* to
it — that is why the API container is named api and why it is not published on
the host. Only ${WEB_PORT:-8090} is exposed.
Photos never leave the browser. The CanvasKit render pipeline (grade, frame, watermarks, JPEG encode) runs in the visitor's tab; the API only stores recipes as JSON.
Layout
docker-compose.yml the stack
.env.example WEB_PORT
data/ SQLite (created on first run, gitignored)
backend/ Fastify + better-sqlite3 API, own Dockerfile
frontend/ Vite + React + CanvasKit SPA, own Dockerfile + nginx.conf
shared/ vendored copies of the app's types + utils (see below)
src/engine/ skiaShim.ts (CanvasKit) + exportEngine.ts (render pipeline)
+ session.ts (localStorage/IndexedDB studio persistence)
Vendored files
frontend/shared/{types/index.ts,utils/*.ts} are byte-identical copies of
src/types/index.ts and ten src/utils/*.ts files from the React Native
project (@shopify/react-native-skia is aliased to src/engine/skiaShim.ts in
vite.config.ts + tsconfig.json, so those files compile unchanged):
cinemaShader colorUtils defaultRecipes exifWrite frameUtils jpegDpi
paramDefs recipeShare skiaImage toneShader.
The landing page needs no CDN: frontend/public/assets/fonts/*.woff2 are the
seven self-hosted faces behind the three font groups the Themes menu offers
(Plus Jakarta Sans / Inter / JetBrains Mono, Fraunces / Be Vietnam Pro /
Courier Prime, Be Vietnam Pro / Space Mono — all SIL OFL, pulled from Google
Fonts, vietnamese + latin + latin-ext subsets), and
frontend/public/assets/samples/s*.jpg are the six placeholder negatives the
film strip, preset tester and QR card show (swap them for real graded stills
whenever we have them). Its one foreign request is the QR image from
api.qrserver.com, which degrades to an empty slot offline.
When the app changes one of them, copy it back in — the renderer is only "parity" for as long as these stay in sync:
cd <repo>/docker/frontend/shared/utils
cp <repo>/src/utils/<name>.ts .
Operations
docker compose logs -f api # API log
docker compose restart api # after backend/src changes (rebuild: --build)
docker compose down # stop; ./data survives
Backup is the ./data folder — that is the whole database.
Checks
curl -s http://localhost:8090/api/health # {"ok":true}
curl -sI http://localhost:8090/ # 200, index.html
Then open the UI, drop a photo in, and confirm the preview shows the picture and
EXPORT downloads a JPEG that opens. The preview going solid black while the
export still reports a plausible size is the one failure mode worth knowing: it
means the CanvasKit GPU surfaces lost their shared GrDirectContext (see
frontend/src/engine/skiaShim.ts), and with no GPU the raster fallback renders
the same pipeline correctly, just slower.