FindFace Multi Data Storages
In this section:
List of Storages
FindFace Multi uses the following data storages:
Tarantool-based feature vector database that stores object feature vectors and recognition events:
/opt/findface-multi/data/findface-tarantool-server
PostgreSQL-based main system database that stores internal system data, records, and user accounts:
/opt/findface-multi/data/postgresql
The directory that stores photos uploaded to records, video files, full frames of events and counters, and object thumbnails:
/opt/findface-multi/data/findface-upload/uploads
The directory that stores such event artifacts as normalized object images:
/opt/findface-multi/data/findface-multi-legacy/uploads
Note
It also stores video chunks if you are using Video Recorder.
(Only with Video Recorder) MongoDB-based database storage:
/opt/findface-multi/data/mongodb/
that stores meta-information of the video chunks, including their exact location in the/opt/findface-multi/data/findface-multi-legacy/uploads
.
Feature Vector Database Galleries
There are the following default galleries in the Tarantool-based feature vector database:
ffsec_body_events
: feature vectors extracted from bodies detected in the video.ffsec_body_objects
: feature vectors extracted from body images uploaded to the record index.ffsec_body_clusters
: centroids of body clusters.ffsec_car_events
: feature vectors extracted from vehicles detected in the video.ffsec_car_objects
: feature vectors extracted from vehicle images uploaded to the record index.ffsec_car_clusters
: centroids of vehicle clusters.ffsec_face_events
: feature vectors extracted from faces detected in the video.ffsec_face_objects
: feature vectors extracted from face images uploaded to the record index.ffsec_face_clusters
: centroids of face clusters.ffsec_user_face
: feature vectors extracted from the FindFace Multi users’ photos for face-based authentication.