2 Commits

Author	SHA1	Message	Date
Accusys	580c4b4017	feat: add _seeds collection helper functions for Identity Agent ... - Add ensure_seeds_collection(): create _seeds collection (512D, Cosine) - Add push_seed_embedding(): push identity seed with payload {identity_id, uuid, name, source, file_uuid, trace_id, tmdb_id} - Add get_seeds(): get all seeds (optional source filter) - Add search_seeds(): cosine search against seeds - Add delete_seed(): delete seed by identity_id - Add count_seeds(): count seeds (optional source filter) - Add get_trace_representatives(): get 3 representatives per trace for multi-angle matching - Add get_trace_centroid(): get centroid embedding for a trace - Add update_identity_in_faces(): update identity_id/uuid for all face points with trace_id Point ID strategy: identity_id directly as point_id for _seeds collection All functions tested successfully	2026-06-25 00:47:25 +08:00
Accusys	9fbb4f9b48	feat: add Qdrant _faces collection embedding push ... - Add qdrant_faces.py utility module for _faces collection operations - Modify face_processor.py to push embeddings to Qdrant (CoreML extraction re-enabled) - Modify store_traced_faces.py to update trace_id in Qdrant after face tracking - Collection schema: 512D vectors, Cosine distance, fixed name '_faces' - Payload: file_uuid, frame, trace_id, bbox, confidence, identity_id/uuid, stranger_id - Batch size: 100 (default), configurable via QDRANT_BATCH_SIZE env var - Error handling: face_processor.py exits with error if Qdrant push fails	2026-06-25 00:23:20 +08:00