Fold in the documentation accuracy fix: the boundary-detection F1 numbers now
reflect the measured values at the shipped ±20s tolerance (44.1% leave-one-out /
29.8% grayscale / 72.9% train-all), replacing the stale pre-retrain '~34%'
figure, and the evolution figure is split so the ±2s development curve is not
mistaken for the shipped result.
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.
dtourolle