dtourolle
4925443e56
Splits the rep4 write-up's key findings into their own linkable pages: - best-model.md: calibration curves first (discriminative power, independent of any threshold), then F1 on the benchmark — LVFace-B Glint360K wins both. - gallery-scope.md: whole vs. cast-restricted gallery, isolated from model and expansion choice — restriction wins on every axis, but isn't a shipped runtime feature yet. - pose-expansion.md: the training-set expand_gallery effect, and the held-out replication attempt that found it doesn't reproduce (5 films, 2 models, after catching and fixing a replay-timeout truncation bug and a bbox first-match-instead-of-best-match bug in the comparison harness itself). An honest null result, with the methodology errors documented since they're exactly the kind that manufacture a false "it works!" finding. - lvface-deep-dive.md: the winning model's held-out generalization gap, its two failure modes (frozen-bbox ghost tracks), and a verified case (cross- checked against Jellyfin's independent cast metadata) where LVFace correctly identified an actor that X-Ray's ground truth failed to credit. Adds a "report-highlights" artifact-registry package (scripts/artifacts/ push_artifacts.sh, pull_artifacts.sh) for hand-picked illustrative frames that aren't reproducible via the automated best/worst montage selection, and wires pulling it into scripts/docs/build_site.sh.
48 lines
1.3 KiB
YAML
48 lines
1.3 KiB
YAML
site_name: 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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nav:
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- Home: index.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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- Rep4 Bake-off & Re-tune (full log): rep4-optimizer-results.md
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- Optimizer Experiments (prior round): optimizer-experiments.md
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- Service Conversion (proposal): service-conversion.md
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