Author SHA1 Message Date
dtourolle 30b5ad7da7 Merge feature/opencv5: learned scene-boundary flood-fill pipeline
Unit tests / Build and run the GPU-free suite (push) Failing after 1s
Traceability Validation / Check requirement traces (push) Failing after 4s
The opencv5 rework of the detect/track/match/scene pipeline. Headline result:
flood-fill actor presence on a learned XGBoost scene-boundary detector lifts
per-second Amazon X-Ray presence F1 from 62.6% (track-extent) to 74.9% under
leave-one-out across the nine-film benchmark, improving every film and fixing
the low-contrast grades (Scarface, Downton) that naive flood-fill broke.
2026-08-11 19:47:23 +02:00

Diff Content Not Available