diff --git a/frigate/object_processing.py b/frigate/object_processing.py
index 0409e1afd..55f494d55 100644
--- a/frigate/object_processing.py
+++ b/frigate/object_processing.py
@@ -108,7 +108,12 @@ def is_better_thumbnail(label, current_thumb, new_obj, frame_shape) -> bool:
 
 class TrackedObject:
     def __init__(
-        self, camera, colormap, camera_config: CameraConfig, frame_cache, obj_data: dict[str, any]
+        self,
+        camera,
+        colormap,
+        camera_config: CameraConfig,
+        frame_cache,
+        obj_data: dict[str, any],
     ):
         # set the score history then remove as it is not part of object state
         self.score_history = obj_data["score_history"]
@@ -238,7 +243,10 @@ class TrackedObject:
                 max_logo = max(recognized_logos, key=recognized_logos.get)
 
                 # don't overwrite sub label if it is already set
-                if self.obj_data.get("sub_label") is None or self.obj_data["sub_label"][0] == max_logo:
+                if (
+                    self.obj_data.get("sub_label") is None
+                    or self.obj_data["sub_label"][0] == max_logo
+                ):
                     self.obj_data["sub_label"] = (max_logo, recognized_logos[max_logo])
 
         # check for significant change
diff --git a/frigate/track/object_attribute.py b/frigate/track/object_attribute.py
index a836b7ddd..54433c5f3 100644
--- a/frigate/track/object_attribute.py
+++ b/frigate/track/object_attribute.py
@@ -41,4 +41,4 @@ class ObjectAttribute:
                 best_object_area = object_area
                 best_object_id = obj["id"]
 
-        return best_object_id
\ No newline at end of file
+        return best_object_id
diff --git a/frigate/video.py b/frigate/video.py
index 01985c416..e8c6fd088 100755
--- a/frigate/video.py
+++ b/frigate/video.py
@@ -752,11 +752,15 @@ def process_frames(
         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: o["label"] in attribute_detections.keys(), all_objects)
+                filtered_objects = filter(
+                    lambda o: o["label"] in attribute_detections.keys(), 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())
+                    detections[selected_object_id]["attributes"].append(
+                        attribute.get_tracking_data()
+                    )
 
         # debug object tracking
         if False: