Fixes (#18176)

* Add camera name tooltip to previews in recording view

* Apply face area check to cv2 face detection

* Delete review thumbnails

* Don't import hailo until it is used

* Add comment

* Clean up camera name

* Filter out empty keys when updating yaml config

HA ingress seems to randomly add an equal sign to the PUT urls for updating the config from the UI. This fix prevents empty keys from being processed, but still allows empty values.

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

frigate/detectors/plugins/hailo8l.py

@@ -8,17 +8,6 @@ from typing import Dict, List, Optional, Tuple
 
 import cv2
 import numpy as np
-
-try:
-    from hailo_platform import (
-        HEF,
-        FormatType,
-        HailoSchedulingAlgorithm,
-        VDevice,
-    )
-except ModuleNotFoundError:
-    pass
-
 from pydantic import Field
 from typing_extensions import Literal
 
@@ -102,6 +91,18 @@ class HailoAsyncInference:
         output_type: Optional[Dict[str, str]] = None,
         send_original_frame: bool = False,
     ) -> None:
+        # when importing hailo it activates the driver
+        # which leaves processes running even though it may not be used.
+        try:
+            from hailo_platform import (
+                HEF,
+                FormatType,
+                HailoSchedulingAlgorithm,
+                VDevice,
+            )
+        except ModuleNotFoundError:
+            pass
+
         self.input_store = input_store
         self.output_store = output_store
 
@@ -112,24 +113,19 @@ class HailoAsyncInference:
         self.target = VDevice(params)
         self.infer_model = self.target.create_infer_model(hef_path)
         self.infer_model.set_batch_size(batch_size)
+
         if input_type is not None:
-            self._set_input_type(input_type)
+            self.infer_model.input().set_format_type(getattr(FormatType, input_type))
+
         if output_type is not None:
-            self._set_output_type(output_type)
+            for output_name, output_type in output_type.items():
+                self.infer_model.output(output_name).set_format_type(
+                    getattr(FormatType, output_type)
+                )
+
         self.output_type = output_type
         self.send_original_frame = send_original_frame
 
-    def _set_input_type(self, input_type: Optional[str] = None) -> None:
-        self.infer_model.input().set_format_type(getattr(FormatType, input_type))
-
-    def _set_output_type(
-        self, output_type_dict: Optional[Dict[str, str]] = None
-    ) -> None:
-        for output_name, output_type in output_type_dict.items():
-            self.infer_model.output(output_name).set_format_type(
-                getattr(FormatType, output_type)
-            )
-
     def callback(
         self,
         completion_info,