diff --git a/frigate/detectors/plugins/rknn.py b/frigate/detectors/plugins/rknn.py
index f46d4fe9d..dee975025 100644
--- a/frigate/detectors/plugins/rknn.py
+++ b/frigate/detectors/plugins/rknn.py
@@ -27,10 +27,8 @@ DETECTOR_KEY = "rknn"
 
 class RknnDetectorConfig(BaseDetectorConfig):
     type: Literal[DETECTOR_KEY]
-    yolov8_rknn_model: Literal['n', 's', 'm', 'l', 'x'] = 'n'
-    core_mask: int = Field(
-        default=0, ge=0, le=7, title="Core mask for NPU."
-    )
+    yolov8_rknn_model: Literal["n", "s", "m", "l", "x"] = "n"
+    core_mask: int = Field(default=0, ge=0, le=7, title="Core mask for NPU.")
     min_score: float = Field(
         default=0.5, ge=0, le=1, title="Minimal confidence for detection."
     )
@@ -43,37 +41,60 @@ class Rknn(DetectionApi):
     type_key = DETECTOR_KEY
 
     def __init__(self, config: RknnDetectorConfig):
-
         self.model_path = config.model.path or "/models/yolov8n-320x320.rknn"
 
         if config.model.path != None:
             self.model_path = config.model.path
         else:
-            if config.yolov8_rknn_model == 'n':
+            if config.yolov8_rknn_model == "n":
                 self.model_path = "/models/yolov8n-320x320.rknn"
             else:
                 # check if user mounted /models/download/
                 if not os.path.isdir("/models/download/"):
-                    logger.error("Make sure to mount the directory \"/models/download/\" to your system. Otherwise the file will be downloaded at every restart.")
-                    raise Exception("Make sure to mount the directory \"/models/download/\" to your system. Otherwise the file will be downloaded at every restart.")
+                    logger.error(
+                        'Make sure to mount the directory "/models/download/" to your system. Otherwise the file will be downloaded at every restart.'
+                    )
+                    raise Exception(
+                        'Make sure to mount the directory "/models/download/" to your system. Otherwise the file will be downloaded at every restart.'
+                    )
 
-
-                self.model_path = "/models/download/yolov8{}-320x320.rknn".format(config.yolov8_rknn_model)
+                self.model_path = "/models/download/yolov8{}-320x320.rknn".format(
+                    config.yolov8_rknn_model
+                )
                 if os.path.isfile(self.model_path) == False:
-                    logger.info("Downloading yolov8{} model.".format(config.yolov8_rknn_model))
-                    urllib.request.urlretrieve("https://github.com/MarcA711/rknn-models/releases/download/latest/yolov8{}-320x320.rknn".format(config.yolov8_rknn_model), self.model_path)
+                    logger.info(
+                        "Downloading yolov8{} model.".format(config.yolov8_rknn_model)
+                    )
+                    urllib.request.urlretrieve(
+                        "https://github.com/MarcA711/rknn-models/releases/download/latest/yolov8{}-320x320.rknn".format(
+                            config.yolov8_rknn_model
+                        ),
+                        self.model_path,
+                    )
 
             if (config.model.width != 320) or (config.model.height != 320):
-                logger.error("Make sure to set the model width and heigth to 320 in your config.yml.")
-                raise Exception("Make sure to set the model width and heigth to 320 in your config.yml.")
+                logger.error(
+                    "Make sure to set the model width and heigth to 320 in your config.yml."
+                )
+                raise Exception(
+                    "Make sure to set the model width and heigth to 320 in your config.yml."
+                )
 
-            if config.model.input_pixel_format != 'bgr':
-                logger.error("Make sure to set the model input_pixel_format to \"bgr\" in your config.yml.")
-                raise Exception("Make sure to set the model input_pixel_format to \"bgr\" in your config.yml.")
+            if config.model.input_pixel_format != "bgr":
+                logger.error(
+                    'Make sure to set the model input_pixel_format to "bgr" in your config.yml.'
+                )
+                raise Exception(
+                    'Make sure to set the model input_pixel_format to "bgr" in your config.yml.'
+                )
 
-            if config.model.input_tensor != 'nhwc':
-                logger.error("Make sure to set the model input_tensor to \"nhwc\" in your config.yml.")
-                raise Exception("Make sure to set the model input_tensor to \"nhwc\" in your config.yml.")
+            if config.model.input_tensor != "nhwc":
+                logger.error(
+                    'Make sure to set the model input_tensor to "nhwc" in your config.yml.'
+                )
+                raise Exception(
+                    'Make sure to set the model input_tensor to "nhwc" in your config.yml.'
+                )
 
         self.height = config.model.height
         self.width = config.model.width
@@ -87,7 +108,9 @@ class Rknn(DetectionApi):
         if self.rknn.load_rknn(self.model_path) != 0:
             logger.error("Error initializing rknn model.")
         if self.rknn.init_runtime(core_mask=self.core_mask) != 0:
-            logger.error("Error initializing rknn runtime. Do you run docker in privileged mode?")
+            logger.error(
+                "Error initializing rknn runtime. Do you run docker in privileged mode?"
+            )
 
     def __del__(self):
         self.rknn.release()