Files
SnapOtter/packages/ai
SnapOtter a329dac004 fix: guard against division-by-zero in HR-matting predict and register session in installer
The BiRefNetHRMattingSession.predict normalization crashes when all
pixels share the same value (ma == mi). Use a guarded denominator so
uniform-alpha inputs produce a zero mask instead of a NaN explosion.

Also adds _register_birefnet_hr_matting() to install_feature.py so the
HR-matting model can be downloaded during feature installation, matching
the existing registration in remove_bg.py.
2026-05-05 22:54:43 +08:00
..