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Face recognition backend (#14495)

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* Add basic config and face recognition table

* Reconfigure updates processing to handle face

* Crop frame to face box

* Implement face embedding calculation

* Get matching face embeddings

* Add support face recognition based on existing faces

* Use arcface face embeddings instead of generic embeddings model

* Add apis for managing faces

* Implement face uploading API

* Build out more APIs

* Add min area config

* Handle larger images

* Add more debug logs

* fix calculation

* Reduce timeout

* Small tweaks

* Use webp images

* Use facenet model
This commit is contained in:
Nicolas Mowen
2025-02-08 12:47:01 -06:00
committed by Blake Blackshear
parent 0e1139a7a4
commit aa19ec3ddb
13 changed files with 365 additions and 45 deletions
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frigate/const.py
+2 -1
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@@ -5,8 +5,9 @@ DEFAULT_DB_PATH = f"{CONFIG_DIR}/frigate.db"
MODEL_CACHE_DIR = f"{CONFIG_DIR}/model_cache"
BASE_DIR = "/media/frigate"
CLIPS_DIR = f"{BASE_DIR}/clips"
RECORD_DIR = f"{BASE_DIR}/recordings"
EXPORT_DIR = f"{BASE_DIR}/exports"
FACE_DIR = f"{CLIPS_DIR}/faces"
RECORD_DIR = f"{BASE_DIR}/recordings"
BIRDSEYE_PIPE = "/tmp/cache/birdseye"
CACHE_DIR = "/tmp/cache"
FRIGATE_LOCALHOST = "http://127.0.0.1:5000"