Refactor face recognition (#17368)

* Refactor face recognition to allow for running lbph or embedding

* Cleanup

* Use weighted average for faces

* Set correct url

* Cleanup

* Update docs

* Update docs

* Use scipy trimmed mean

* Normalize

* Handle color and gray landmark detection

* Upgrade to new arcface model

* Implement sigmoid function

* Rename

* Rename to arcface

* Fix

* Add face recognition model size to ui config

* Update toast

frigate/config/classification.py

@@ -51,6 +51,9 @@ class SemanticSearchConfig(FrigateBaseModel):
 
 class FaceRecognitionConfig(FrigateBaseModel):
     enabled: bool = Field(default=False, title="Enable face recognition.")
+    model_size: str = Field(
+        default="small", title="The size of the embeddings model used."
+    )
     min_score: float = Field(
         title="Minimum face distance score required to save the attempt.",
         default=0.8,