The cross-model veto adds one extra large-model inference per request
(measured ~35 s/image on CPU: 14.4 s -> 49.1 s), which is too slow as a
service default. The service now disables it regardless of the config
default; BGFILTER_CROSS_CHECK=1 re-enables it (GPU or quality-first
deployments). CLI behaviour is unchanged (still on by default).
Startup log and /healthz report the effective state.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Brings in the two algorithm optimisations from master:
- Gate chroma suppression by the matte's own confidence (639fdf0)
- Add cross-model veto of hair-gap background residue (adbbb9d)
Server-edition integration on top of the plain merge:
- PipelineManager caches the cross-check model (BiRefNet_HR-matting) and
injects it into MattingPipeline, so HTTP requests never reload it.
- MattingResult carries cross_check_alpha; debug output matches master.
- /healthz reports crossCheck; README lists models/BiRefNet_HR-matting
in the local-weights bundle.
Verified: CLI --no-cross-check baseline and full cross-check run both
pass on samples/TestImage3.png; cross_check_alpha.png written to debug.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>