dtourolle
0bd2747069
Replaces narrative claims with verified numbers across all report pages: - Cross-model held-out validation (LVFace/mbf/r18, all 5 held-out films): LVFace wins every film outright, not just "consistent with" the training-set pick. r50 dropped from the detailed comparison (gallery has ~30% fewer reference images per actor than the other three models on identical source photos). - Per-film training breakdown: LVFace does not win every training film (mbf beats it on Lord of War); the 75.3% macro figure hides a 10.7pp spread. - Gallery coverage computed per film (20.3%-78.6%) instead of one flat 67%-missing average. - Found and fixed a real scoring bug in optimize.py: a candidate whose hardest film's replay timed out was averaged over survivors instead of penalized, silently rewarding partial coverage. Affected 3 of 16 training combos; corrected throughout, and optimize.py now scores an incomplete evaluation f1=0.0 instead of averaging over whichever films happened to finish. - Every FPI frame in the deep dive now comes from the proper montage renderer (Onscreen/Offscreen panel, ghosts never drawn as boxes), never the bare-box debug overlay used earlier. - Every distinct out-of-cast name across all 9 films gets its own frame at its first appearance (9 names, 4 films), not a single-example spot check: 2 ground-truth gaps, 1 photograph misread as a person, 6 genuine lookalike confusions. - New methodology.md: the scene-level-vs-per-second scoring mismatch that the rest of the report assumes, written out once. - Cut the deadlock/gdb debugging narrative from the experiment log; kept the one fact that matters (KPN's node/network split lets the expensive GPU stage run once and the cheap stage replay against cached embeddings). - Plain declarative style throughout, no em dashes, no blog voice.
67 lines
1.8 KiB
YAML
67 lines
1.8 KiB
YAML
site_name: scene-actor-extraction
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site_url: https://pages.tourolle.paris/dtourolle/scene-actor-extraction/
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site_description: Face-recognition pipeline for finding on-screen actor presence in film/TV, built on KPN++
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repo_url: https://gitea.tourolle.paris/dtourolle/scene-actor-extraction
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repo_name: dtourolle/scene-actor-extraction
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extra_css:
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- stylesheets/extra.css
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nav:
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- Home: index.md
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- How We Score Against X-Ray: methodology.md
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- Findings:
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- Best Model: best-model.md
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- Gallery Scope (Full vs. Limited): gallery-scope.md
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- Pose Expansion: pose-expansion.md
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- LVFace Deep Dive: lvface-deep-dive.md
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- Full Experiment Log: model-bakeoff.md
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- Service Conversion (proposal): service-conversion.md
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