Load labelmap correctly

frigate/detectors/plugins/audio_tfl.py

@@ -6,6 +6,7 @@ from typing_extensions import Literal
 
 from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detector_config import BaseDetectorConfig
+from frigate.object_detection import load_labels
 
 try:
     from tflite_runtime.interpreter import Interpreter
@@ -18,17 +19,14 @@ logger = logging.getLogger(__name__)
 DETECTOR_KEY = "audio"
 
 
-class AudioDetectorConfig(BaseDetectorConfig):
-    type: Literal[DETECTOR_KEY]
-
-
 class AudioTfl(DetectionApi):
     type_key = DETECTOR_KEY
 
-    def __init__(self, detector_config: AudioDetectorConfig):
+    def __init__(self, labels):
+        self.labels = load_labels("/audio-labelmap.txt")
         self.interpreter = Interpreter(
             model_path="/cpu_audio_model.tflite",
-            num_threads=3,
+            num_threads=2,
         )
 
         self.interpreter.allocate_tensors()
@@ -36,7 +34,7 @@ class AudioTfl(DetectionApi):
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
 
-    def detect_raw(self, tensor_input):
+    def _detect_raw(self, tensor_input):
         self.interpreter.set_tensor(self.tensor_input_details[0]["index"], tensor_input)
         self.interpreter.invoke()
         detections = np.zeros((20, 6), np.float32)
@@ -63,3 +61,16 @@ class AudioTfl(DetectionApi):
             ]
 
         return detections
+
+    def detect(self, tensor_input, threshold=0.8):
+        detections = []
+
+        raw_detections = self._detect_raw(tensor_input)
+
+        for d in raw_detections:
+            if d[1] < threshold:
+                break
+            detections.append(
+                (self.labels[int(d[0])], float(d[1]), (d[2], d[3], d[4], d[5]))
+            )
+        return detections

frigate/events/audio.py

@@ -17,6 +17,7 @@ from frigate.const import (
     AUDIO_SAMPLE_RATE,
     CACHE_DIR,
 )
+from frigate.detectors.plugins.audio_tfl import AudioTfl
 from frigate.util import listen
 
 logger = logging.getLogger(__name__)
@@ -50,6 +51,7 @@ class AudioEventMaintainer(threading.Thread):
         self.name = f"{camera.name}_audio_event_processor"
         self.config = camera
         self.stop_event = stop_event
+        self.detector = AudioTfl()
         self.shape = (int(round(AUDIO_DURATION * AUDIO_SAMPLE_RATE)),)
 
     def detect_audio(self) -> None: