Fixes (#23130)

* respect section hiddenFields when detecting config overrides

* change audio events to audio detection to match docs

* add field messages for object and review genai

* add more config messages

* more messages

* add guard to prevent race when adding camera dynamically

* fix duplicate websocket messages from zombie connection under react strict mode

detach ws event handlers before close() in WsProvider cleanup so a CONNECTING socket's deferred onclose can't schedule a reconnect after the next mount resets the unmounted guard, which was spawning a second live ws and duplicating every message

* fix double event publishes for stationary objects with attributes

frigate/config/camera/camera.py

@@ -76,7 +76,7 @@ class CameraConfig(FrigateBaseModel):
     # Options with global fallback
     audio: AudioConfig = Field(
         default_factory=AudioConfig,
-        title="Audio events",
+        title="Audio detection",
         description="Settings for audio-based event detection for this camera.",
     )
     audio_transcription: CameraAudioTranscriptionConfig = Field(

frigate/config/config.py

@@ -477,7 +477,7 @@ class FrigateConfig(FrigateBaseModel):
     cameras: Dict[str, CameraConfig] = Field(title="Cameras", description="Cameras")
     audio: AudioConfig = Field(
         default_factory=AudioConfig,
-        title="Audio events",
+        title="Audio detection",
         description="Settings for audio-based event detection for all cameras; can be overridden per-camera.",
     )
     birdseye: BirdseyeConfig = Field(

frigate/track/object_processing.py

@@ -773,7 +773,9 @@ class TrackedObjectProcessor(threading.Thread):
                 logger.debug(f"Camera {camera} disabled, skipping update")
                 continue
 
-            camera_state = self.camera_states[camera]
+            camera_state = self.camera_states.get(camera)
+            if camera_state is None:
+                continue
 
             camera_state.update(
                 frame_name, frame_time, current_tracked_objects, motion_boxes, regions

frigate/track/tracked_object.py

@@ -330,7 +330,12 @@ class TrackedObject:
             if self.obj_data["position_changes"] != obj_data["position_changes"]:
                 significant_change = True
 
-            if self.obj_data["attributes"] != obj_data["attributes"]:
+            # disappearance of a per-frame attribute can be caused by detection
+            # skipping the object on a frame (stationary objects on non-interval
+            # frames), so only flag when a new attribute label appears
+            prev_labels = {a["label"] for a in self.obj_data["attributes"]}
+            curr_labels = {a["label"] for a in obj_data["attributes"]}
+            if curr_labels - prev_labels:
                 significant_change = True
 
             # if the state changed between stationary and active

frigate/video/detect.py

@@ -438,34 +438,32 @@ def process_frames(
             else:
                 object_tracker.update_frame_times(frame_name, frame_time)
 
-        # group the attribute detections based on what label they apply to
-        attribute_detections: dict[str, list[TrackedObjectAttribute]] = {}
-        for label, attribute_labels in attributes_map.items():
-            attribute_detections[label] = [
-                TrackedObjectAttribute(d)
-                for d in consolidated_detections
-                if d[0] in attribute_labels
-            ]
-
         # build detections
         detections = {}
         for obj in object_tracker.tracked_objects.values():
             detections[obj["id"]] = {**obj, "attributes": []}
 
-        # find the best object for each attribute to be assigned to
+        # assign each detected attribute to the best matching object.
+        # iterate consolidated_detections once so attributes that appear under
+        # multiple parent labels in attributes_map (e.g. license_plate is in
+        # both "car" and "motorcycle") are not appended more than once
         all_objects: list[dict[str, Any]] = object_tracker.tracked_objects.values()
-        for attributes in attribute_detections.values():
-            for attribute in attributes:
-                filtered_objects = filter(
-                    lambda o: attribute.label in attributes_map.get(o["label"], []),
-                    all_objects,
-                )
-                selected_object_id = attribute.find_best_object(filtered_objects)
+        detected_attributes = [
+            TrackedObjectAttribute(d)
+            for d in consolidated_detections
+            if d[0] in all_attributes
+        ]
+        for attribute in detected_attributes:
+            filtered_objects = filter(
+                lambda o: attribute.label in attributes_map.get(o["label"], []),
+                all_objects,
+            )
+            selected_object_id = attribute.find_best_object(filtered_objects)
 
-                if selected_object_id is not None:
-                    detections[selected_object_id]["attributes"].append(
-                        attribute.get_tracking_data()
-                    )
+            if selected_object_id is not None:
+                detections[selected_object_id]["attributes"].append(
+                    attribute.get_tracking_data()
+                )
 
         # debug object tracking
         if False: