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Add device config for semantic search
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1e6ee1a636
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@ -276,7 +276,7 @@ class FrigateApp:
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def init_embeddings_client(self) -> None:
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if self.config.semantic_search.enabled:
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# Create a client for other processes to use
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self.embeddings = EmbeddingsContext(self.db)
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self.embeddings = EmbeddingsContext(self.config, self.db)
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def init_external_event_processor(self) -> None:
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self.external_event_processor = ExternalEventProcessor(self.config)
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@ -12,3 +12,4 @@ class SemanticSearchConfig(FrigateBaseModel):
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reindex: Optional[bool] = Field(
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default=False, title="Reindex all detections on startup."
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)
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device: str = Field(default="AUTO", title="Device Type")
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@ -55,7 +55,7 @@ def manage_embeddings(config: FrigateConfig) -> None:
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models = [Event]
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db.bind(models)
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embeddings = Embeddings(db)
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embeddings = Embeddings(config.semantic_search, db)
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# Check if we need to re-index events
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if config.semantic_search.reindex:
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@ -70,8 +70,8 @@ def manage_embeddings(config: FrigateConfig) -> None:
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class EmbeddingsContext:
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def __init__(self, db: SqliteVecQueueDatabase):
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self.embeddings = Embeddings(db)
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def __init__(self, config: FrigateConfig, db: SqliteVecQueueDatabase):
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self.embeddings = Embeddings(config.semantic_search, db)
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self.thumb_stats = ZScoreNormalization()
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self.desc_stats = ZScoreNormalization()
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@ -12,6 +12,7 @@ from PIL import Image
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from playhouse.shortcuts import model_to_dict
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from frigate.comms.inter_process import InterProcessRequestor
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from frigate.config.semantic_search import SemanticSearchConfig
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from frigate.const import UPDATE_MODEL_STATE
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from frigate.db.sqlitevecq import SqliteVecQueueDatabase
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from frigate.models import Event
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@ -80,7 +81,10 @@ def deserialize(bytes_data: bytes) -> List[float]:
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class Embeddings:
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"""SQLite-vec embeddings database."""
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def __init__(self, db: SqliteVecQueueDatabase) -> None:
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def __init__(
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self, config: SemanticSearchConfig, db: SqliteVecQueueDatabase
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) -> None:
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self.config = config
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self.db = db
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self.requestor = InterProcessRequestor()
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@ -118,7 +122,7 @@ class Embeddings:
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},
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embedding_function=jina_text_embedding_function,
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model_type="text",
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force_cpu=True,
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device="CPU",
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)
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self.vision_embedding = GenericONNXEmbedding(
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@ -130,6 +134,7 @@ class Embeddings:
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},
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embedding_function=jina_vision_embedding_function,
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model_type="vision",
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device=self.config.device,
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)
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def _create_tables(self):
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@ -42,7 +42,7 @@ class GenericONNXEmbedding:
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embedding_function: Callable[[List[np.ndarray]], np.ndarray],
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model_type: str,
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tokenizer_file: Optional[str] = None,
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force_cpu: bool = False,
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device: str = "AUTO",
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):
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self.model_name = model_name
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self.model_file = model_file
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@ -51,7 +51,7 @@ class GenericONNXEmbedding:
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self.embedding_function = embedding_function
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self.model_type = model_type # 'text' or 'vision'
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self.providers, self.provider_options = get_ort_providers(
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force_cpu=force_cpu, requires_fp16=True
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force_cpu=device == "CPU", requires_fp16=True, openvino_device=device
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)
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self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
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@ -42,7 +42,7 @@ class EmbeddingMaintainer(threading.Thread):
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threading.Thread.__init__(self)
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self.name = "embeddings_maintainer"
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self.config = config
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self.embeddings = Embeddings(db)
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self.embeddings = Embeddings(config.semantic_search, db)
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self.event_subscriber = EventUpdateSubscriber()
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self.event_end_subscriber = EventEndSubscriber()
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self.event_metadata_subscriber = EventMetadataSubscriber(
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@ -36,7 +36,7 @@ class EventCleanup(threading.Thread):
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self.camera_labels: dict[str, dict[str, any]] = {}
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if self.config.semantic_search.enabled:
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self.embeddings = Embeddings(self.db)
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self.embeddings = Embeddings(self.config.semantic_search, self.db)
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def get_removed_camera_labels(self) -> list[Event]:
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"""Get a list of distinct labels for removed cameras."""
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