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42735766123c6f8b31e8970d779010e69f2eca41
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3 Commits

Author SHA1 Message Date
Accusys
4273576612 feat: implement skin_tone_trace node builder and standardize TKG node naming 
- Add build_skin_tone_trace_nodes() to tkg.rs (Fitzpatrick I-VI classification)
- Add skin_tone_trace_nodes field to TkgResult
- Standardize node naming: _trace -> _track (text uses _region)
- Add external_id format column to Node Types table
- Add storage names to Edge Types table
- Create TKG_FORMATION_V1.0.md with Phase 0-4 definition, flow diagram, queries
- Add cross-reference from identity_agent_v4.0.md to TKG Formation
- Update Python scripts to executable mode
 2026-06-25 03:09:16 +08:00
Accusys
21b9f500d9 feat: add TKG node marking for Identity Agent suggestions 
TKG Helper (scripts/utils/tkg_helper.py):
- mark_face_track_suggested(): Mark node as 'suggested' with pending identity info
- mark_face_track_confirmed(): Mark node as 'confirmed' with identity_ref
- mark_face_track_stranger(): Mark node as 'stranger' with stranger_ref
- batch_mark_suggestions(): Batch mark multiple traces
- batch_mark_strangers(): Batch mark stranger clusters
- get_face_track_nodes(): Get all face_track nodes for a file
- get_pending_face_tracks(): Get nodes with status='pending'
- get_suggested_face_tracks(): Get nodes with status='suggested'

Identity Matcher updates:
- Add --mark-tkg flag to update TKG nodes after matching
- Integrates with tkg_helper for batch operations

Node properties schema:
- status: pending | suggested | confirmed | stranger
- pending_identity_name/uuid/id: suggested identity info
- suggested_by: tmdb | propagation | manual
- confidence: matching score
- identity_ref: confirmed identity reference
 2026-06-25 01:11:05 +08:00
Accusys
6851cb4734 feat: add identity_matcher.py for multi-angle face matching 
Implements:
- match_faces_round_1: TMDb seeds → traces (TH=0.55)
- match_faces_round_2: Confirmed traces → pending (TH=0.55)
- match_faces_round_3_plus: Propagation (TH=0.50)
- cluster_strangers: Greedy merge unmatched traces (TH=0.40)
- multi_angle_match: max(cosine(seed, rep)) across 3 representatives
- cosine_similarity: Vector similarity calculation

Usage:
  python identity_matcher.py --file-uuid <uuid> --round 1
  python identity_matcher.py --file-uuid <uuid> --round 2 --confirmed-traces 1,2,3
  python identity_matcher.py --file-uuid <uuid> --round 1 --stranger

Output: JSON with suggestions {trace_id: {identity_id, uuid, name, score, suggested_by}}
 2026-06-25 00:57:22 +08:00