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62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
from typing import Optional
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from pydantic import Field
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from frigate.const import AUDIO_MIN_CONFIDENCE
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from ..base import FrigateBaseModel
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__all__ = ["AudioConfig", "AudioFilterConfig"]
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DEFAULT_LISTEN_AUDIO = ["bark", "fire_alarm", "scream", "speech", "yell"]
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class AudioFilterConfig(FrigateBaseModel):
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threshold: float = Field(
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default=0.8,
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ge=AUDIO_MIN_CONFIDENCE,
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lt=1.0,
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title="Minimum audio confidence",
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description="Minimum confidence threshold for the audio event to be counted.",
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)
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class AudioConfig(FrigateBaseModel):
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enabled: bool = Field(
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default=False,
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title="Enable audio",
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description="Enable or disable audio event detection; can be overridden per-camera.",
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)
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max_not_heard: int = Field(
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default=30,
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title="End timeout",
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description="Amount of seconds without the configured audio type before the audio event is ended.",
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)
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min_volume: int = Field(
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default=500,
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title="Minimum volume",
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description="Minimum RMS volume threshold required to run audio detection; lower values increase sensitivity (e.g., 200 high, 500 medium, 1000 low).",
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)
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listen: list[str] = Field(
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default=DEFAULT_LISTEN_AUDIO,
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title="Listen types",
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description="List of audio event types to detect (for example: bark, fire_alarm, scream, speech, yell).",
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)
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filters: Optional[dict[str, AudioFilterConfig]] = Field(
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None,
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title="Audio filters",
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description="Per-audio-type filter settings such as confidence thresholds used to reduce false positives.",
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)
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enabled_in_config: Optional[bool] = Field(
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None,
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title="Original audio state",
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description="Indicates whether audio detection was originally enabled in the static config file.",
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)
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num_threads: int = Field(
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default=2,
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title="Detection threads",
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description="Number of threads to use for audio detection processing.",
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ge=1,
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)
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