dtourolle b26c66dcce scripts: figure generators + frame-regen script for the opencv5 report ...

make_figures.py gains the DE-landscape, calibration, and per-film leave-one-out
holdout figures used by the experiment log. regen_frame_examples.sh replays all
nine films with the shipped learned-boundary flood config and draws GT-aware
TP/FP/FN frames, so every annotated image in the docs is reproducible.

2026-08-10 08:45:07 +02:00

..

de_ramp.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

density_floor.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

downstream_presence.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

extract_audio_features.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

make_figures.py

scripts: figure generators + frame-regen script for the opencv5 report

2026-08-10 08:45:07 +02:00

rematch_frames.py

docs: remake all named TP/FP/FN frames against the opencv5 pipeline

2026-08-10 08:32:30 +02:00

run_de_audio_cutter.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

train_scene_boundary.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

train_xgb_boundary.py

feat(scene-detector): learned scene-boundary detector for flood-fill presence

2026-08-09 19:21:04 +02:00

train_xgb_cpp.py

feat(scene-detector): run the learned boundary detector live in the C++ pipeline

2026-08-09 21:21:29 +02:00