- backend: preserve aspect ratio with edge-replicated square padding into 512x512 LaMa model
- backend: fix inverted mask threshold (>0.85*plane) and prune CUDA/TensorRT binaries for slim image
- frontend: enable server AI by default and route masks >3.5% or edge-crossing to LaMa Tier 2
- frontend: enforce 60%-80% context padding (min 64px) aligned to multiples of 8
- frontend: add 3-5px binary mask dilation and high-frequency sensor grain matching
- frontend: anchor deletion badge to topmost point of brush stroke
- build & export: updated docker containers and recipescam-images.tar.gz (357MB)
`docker/` now holds the whole web build — frontend (Vite + React + CanvasKit),
backend (Fastify + SQLite) and the compose file — so the folder can be moved to
another machine and run without the React Native project:
cd docker && cp .env.example .env && docker compose up -d --build
Only `${WEB_PORT:-8090}` is published; nginx serves the SPA and proxies /api to
the `api` container over Docker's DNS. Photos never reach the server.
The shared render code is vendored into `docker/frontend/shared/` and aliased to
a CanvasKit shim, so the app's own frameUtils/toneShader/jpegDpi run unchanged.
Fix the all-black render on GPU surfaces: `MakeWebGLCanvasSurface` creates a
separate WebGL context per call, and a texture from one context cannot be
sampled by a surface on another — so any pass that drew a snapshot onto a second
surface (output sharpen, screen sharpen, polaroid/wallframe cards) came out
solid black, while the raster fallback was correct. Use one shared
GrDirectContext + MakeRenderTarget instead.
Verified in headless Chromium against the running stack: 12MP JPEG in, preview
mean=120.5 sd=60.5, export 2048x1536 mean=107.2 sd=62.1, JFIF density 300/300,
EXIF present, no console errors; health/signup/login/me/recipes all 2xx through
the nginx proxy.
3dtours