Add ability to use Jina CLIP V2 for semantic search (#16826)

* add wheels

* move extra index url to bottom

* config model option

* add postprocess

* fix config

* jina v2 embedding class

* use jina v2 in embeddings

* fix ov inference

* frontend

* update reference config

* revert device

* fix truncation

* return np tensors

* use correct embeddings from inference

* manual preprocess

* clean up

* docs

* lower batch size for v2 only

* docs clarity

* wording

frigate/config/classification.py

@@ -1,3 +1,4 @@
+from enum import Enum
 from typing import Dict, List, Optional
 
 from pydantic import Field
@@ -11,6 +12,11 @@ __all__ = [
 ]
 
 
+class SemanticSearchModelEnum(str, Enum):
+    jinav1 = "jinav1"
+    jinav2 = "jinav2"
+
+
 class BirdClassificationConfig(FrigateBaseModel):
     enabled: bool = Field(default=False, title="Enable bird classification.")
     threshold: float = Field(
@@ -30,7 +36,11 @@ class ClassificationConfig(FrigateBaseModel):
 class SemanticSearchConfig(FrigateBaseModel):
     enabled: bool = Field(default=False, title="Enable semantic search.")
     reindex: Optional[bool] = Field(
-        default=False, title="Reindex all detections on startup."
+        default=False, title="Reindex all tracked objects on startup."
+    )
+    model: Optional[SemanticSearchModelEnum] = Field(
+        default=SemanticSearchModelEnum.jinav1,
+        title="The CLIP model to use for semantic search.",
     )
     model_size: str = Field(
         default="small", title="The size of the embeddings model used."