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Merge branch 'dev' of https://github.com/DeGirum/frigate into dev

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This commit is contained in:
Chirayu Rai 2025-08-26 12:31:37 -07:00
commit eb9d4b5f00
2 changed files with 44 additions and 0 deletions
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26
frigate/config/classification.py
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@ -163,6 +163,32 @@ class CameraSemanticSearchConfig(FrigateBaseModel):
model_config = ConfigDict(extra="forbid", protected_namespaces=()) model_config = ConfigDict(extra="forbid", protected_namespaces=())
class TriggerConfig(FrigateBaseModel):
enabled: bool = Field(default=True, title="Enable this trigger")
type: TriggerType = Field(default=TriggerType.DESCRIPTION, title="Type of trigger")
data: str = Field(title="Trigger content (text phrase or image ID)")
threshold: float = Field(
title="Confidence score required to run the trigger",
default=0.8,
gt=0.0,
le=1.0,
)
actions: List[TriggerAction] = Field(
default=[], title="Actions to perform when trigger is matched"
)
model_config = ConfigDict(extra="forbid", protected_namespaces=())
class CameraSemanticSearchConfig(FrigateBaseModel):
triggers: Dict[str, TriggerConfig] = Field(
default={},
title="Trigger actions on tracked objects that match existing thumbnails or descriptions",
)
model_config = ConfigDict(extra="forbid", protected_namespaces=())
class FaceRecognitionConfig(FrigateBaseModel): class FaceRecognitionConfig(FrigateBaseModel):
enabled: bool = Field(default=False, title="Enable face recognition.") enabled: bool = Field(default=False, title="Enable face recognition.")
model_size: str = Field( model_size: str = Field(

18
frigate/events/audio.py
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@ -180,6 +180,24 @@ class AudioEventMaintainer(threading.Thread):
) )
self.detection_publisher = DetectionPublisher(DetectionTypeEnum.audio.value) self.detection_publisher = DetectionPublisher(DetectionTypeEnum.audio.value)
if self.camera_config.audio_transcription.enabled_in_config:
# init the transcription processor for this camera
self.transcription_processor = AudioTranscriptionRealTimeProcessor(
config=self.config,
camera_config=self.camera_config,
requestor=self.requestor,
model_runner=self.audio_transcription_model_runner,
metrics=self.camera_metrics[self.camera_config.name],
stop_event=self.stop_event,
)
self.transcription_thread = threading.Thread(
target=self.transcription_processor.run,
name=f"{self.camera_config.name}_transcription_processor",
daemon=True,
)
self.transcription_thread.start()
if self.camera_config.audio_transcription.enabled_in_config: if self.camera_config.audio_transcription.enabled_in_config:
# init the transcription processor for this camera # init the transcription processor for this camera
self.transcription_processor = AudioTranscriptionRealTimeProcessor( self.transcription_processor = AudioTranscriptionRealTimeProcessor(