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Add count of audio labels to active count (#8310)
* Add count of audio labels to active count * Formatting
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@ -205,14 +205,10 @@ class AudioEventMaintainer(threading.Thread):
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# only run audio detection when volume is above min_volume
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if rms >= self.config.audio.min_volume:
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# add audio info to recordings queue
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self.recordings_info_queue.put(
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(self.config.name, datetime.datetime.now().timestamp(), dBFS)
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)
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# create waveform relative to max range and look for detections
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waveform = (audio / AUDIO_MAX_BIT_RANGE).astype(np.float32)
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model_detections = self.detector.detect(waveform)
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audio_detections = []
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for label, score, _ in model_detections:
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logger.debug(f"Heard {label} with a score of {score}")
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@ -224,6 +220,17 @@ class AudioEventMaintainer(threading.Thread):
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"threshold", 0.8
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):
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self.handle_detection(label, score)
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audio_detections.append(label)
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# add audio info to recordings queue
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self.recordings_info_queue.put(
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(
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self.config.name,
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datetime.datetime.now().timestamp(),
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dBFS,
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audio_detections,
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)
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)
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self.expire_detections()
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@ -303,6 +303,10 @@ class RecordingMaintainer(threading.Thread):
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if frame[0] < start_time.timestamp():
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continue
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# add active audio label count to count of active objects
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active_count += len(frame[2])
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# add sound level to audio values
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audio_values.append(frame[1])
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average_dBFS = 0 if not audio_values else np.average(audio_values)
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@ -461,6 +465,7 @@ class RecordingMaintainer(threading.Thread):
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camera,
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frame_time,
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dBFS,
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audio_detections,
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) = self.audio_recordings_info_queue.get(True, timeout=0.01)
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if frame_time < run_start - stale_frame_count_threshold:
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@ -471,6 +476,7 @@ class RecordingMaintainer(threading.Thread):
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(
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frame_time,
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dBFS,
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audio_detections,
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)
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)
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except queue.Empty:
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