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/embeddings/onnx/base_embedding.py

@@ -72,6 +72,9 @@ class BaseEmbedding(ABC):
 
         return image
 
+    def _postprocess_outputs(self, outputs: any) -> any:
+        return outputs
+
     def __call__(
         self, inputs: list[str] | list[Image.Image] | list[str]
     ) -> list[np.ndarray]:
@@ -91,5 +94,7 @@ class BaseEmbedding(ABC):
             else:
                 logger.warning(f"Expected input '{key}' not found in onnx_inputs")
 
-        embeddings = self.runner.run(onnx_inputs)[0]
+        outputs = self.runner.run(onnx_inputs)[0]
+        embeddings = self._postprocess_outputs(outputs)
+
         return [embedding for embedding in embeddings]