- enrich: re-detects each cached face with buffalo_l (detection + landmark_2d_106 + landmark_3d_68, recognition module skipped for speed) and persists landmarks + pose into the cache so per-face frontality and landmark-symmetry quality signals become available. - compute_quality: composite score combining det_score, face short-edge, blur, frontality (from pose pitch/yaw), and 2D-landmark symmetry with tunable weights. Default weighting 0.30/0.20/0.20/0.15/0.15. - export-swap: builds facesets_swap_ready/ from an existing refine manifest. Per identity: tighter outlier gate (default 0.45), visual- near-dupe collapse (keep best representative per group), multi-face- per-source-image collapse (keep best bbox), rank by composite score, single-face-per-PNG crops at 512x512 with 0.5 bbox padding, ready-to- drop .fsz bundles (top-N + full), per-faceset manifest.json, NAME.txt placeholder for the operator. The multi-face-per-PNG collapse is the critical fix: roop-unleashed's .fsz loader appends every detected face in each PNG to the FaceSet, so any multi-face crop would contaminate the averaged embedding. - Optional --candidates rescues raw_full singletons: matches against the final per-faceset centroids and routes to _candidates/to_<faceset>/ for manual review; orphaned singletons that still cluster among themselves land in _candidates/new_<NNN>/. - docs/analysis/: evaluation document captures the evidence, downstream requirements (FaceSet averaging, inswapper_128), opportunity matrix (R1-R14), and the recommended target state this export implements. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
60 KiB
60 KiB