diff --git a/frigate/detectors/detection_runners.py b/frigate/detectors/detection_runners.py
index 8911c26ed..a034d2379 100644
--- a/frigate/detectors/detection_runners.py
+++ b/frigate/detectors/detection_runners.py
@@ -391,7 +391,9 @@ def get_optimized_runner(
             return RKNNModelRunner(rknn_path)
 
     if device != "CPU" and is_openvino_gpu_npu_available():
-        return OpenVINOModelRunner(model_path, device or "AUTO", complex_model, **kwargs)
+        return OpenVINOModelRunner(
+            model_path, device or "AUTO", complex_model, **kwargs
+        )
 
     providers, options = get_ort_providers(device == "CPU", device, **kwargs)
     ortSession = ort.InferenceSession(
diff --git a/frigate/detectors/plugins/openvino.py b/frigate/detectors/plugins/openvino.py
index 9bb5f9ee3..789912b4a 100644
--- a/frigate/detectors/plugins/openvino.py
+++ b/frigate/detectors/plugins/openvino.py
@@ -43,7 +43,9 @@ class OvDetector(DetectionApi):
         self.w = detector_config.model.width
 
         self.runner = OpenVINOModelRunner(
-            model_path=detector_config.model.path, device=detector_config.device, complex_model=False
+            model_path=detector_config.model.path,
+            device=detector_config.device,
+            complex_model=False,
         )
 
         # For dfine models, also pre-allocate target sizes tensor