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Add audio filters config
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@ -11,7 +11,13 @@ import numpy as np
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from pydantic import BaseModel, Extra, Field, parse_obj_as, validator
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from pydantic.fields import PrivateAttr
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from frigate.const import CACHE_DIR, DEFAULT_DB_PATH, REGEX_CAMERA_NAME, YAML_EXT
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from frigate.const import (
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AUDIO_MIN_CONFIDENCE,
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CACHE_DIR,
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DEFAULT_DB_PATH,
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REGEX_CAMERA_NAME,
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YAML_EXT,
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)
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from frigate.detectors import DetectorConfig, ModelConfig
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from frigate.detectors.detector_config import BaseDetectorConfig
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from frigate.ffmpeg_presets import (
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@ -334,6 +340,15 @@ class FilterConfig(FrigateBaseModel):
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)
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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 detection confidence threshold for audio to be counted.",
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)
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class RuntimeFilterConfig(FilterConfig):
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mask: Optional[np.ndarray]
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raw_mask: Optional[Union[str, List[str]]]
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@ -424,6 +439,7 @@ class AudioConfig(FrigateBaseModel):
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listen: List[str] = Field(
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default=DEFAULT_LISTEN_AUDIO, title="Audio to listen for."
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)
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filters: Optional[Dict[str, AudioFilterConfig]] = Field(title="Audio filters.")
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enabled_in_config: Optional[bool] = Field(
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title="Keep track of original state of audio detection."
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)
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@ -28,6 +28,7 @@ AUDIO_DURATION = 0.975
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AUDIO_FORMAT = "s16le"
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AUDIO_MAX_BIT_RANGE = 32768.0
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AUDIO_SAMPLE_RATE = 16000
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AUDIO_MIN_CONFIDENCE = 0.5
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# Regex Consts
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@ -19,6 +19,7 @@ from frigate.const import (
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AUDIO_DURATION,
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AUDIO_FORMAT,
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AUDIO_MAX_BIT_RANGE,
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AUDIO_MIN_CONFIDENCE,
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AUDIO_SAMPLE_RATE,
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CACHE_DIR,
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FRIGATE_LOCALHOST,
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@ -130,7 +131,7 @@ class AudioTfl:
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return detections
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def detect(self, tensor_input, threshold=0.8):
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def detect(self, tensor_input, threshold=AUDIO_MIN_CONFIDENCE):
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detections = []
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if self.stop_event.is_set():
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@ -200,7 +201,8 @@ class AudioEventMaintainer(threading.Thread):
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if label not in self.config.audio.listen:
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continue
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self.handle_detection(label, score)
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if score > self.config.audio.filters.get(label, {}).get("threshold", 0):
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self.handle_detection(label, score)
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self.expire_detections()
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