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v1.0.0 — learned scene-boundary flood-fill pipeline
released this
2026-08-11 18:57:13 +00:00 | 2 commits to master since this releaseFirst tagged release. opencv5 detect/track/match/scene pipeline on KPN++, with
Jellyfin-integrated gallery and X-Ray-validated tuning.Highlights:
- Flood-fill presence on a learned XGBoost scene-boundary detector: per-second
X-Ray presence F1 62.6% -> 74.9% (leave-one-out, all nine films improved). - Boundary detection at the shipped ±20s tolerance: 44.1% macro leave-one-out
vs 29.8% grayscale (72.9% on the training films). - Ten-knob differential-evolution tuning of the matcher/tracker config.
- One-clock tracker/registry fix (evidence-watermark), no dropped votes.
- Scene detector built into scene_analyze via CMake (XGBoost C API + FFTW),
verified end to end and through the Jellyfin work-queue worker.
Downloads
- Flood-fill presence on a learned XGBoost scene-boundary detector: per-second