Fix various typing issues (#18187)

* Fix the `Any` typing hint treewide

There has been confusion between the Any type[1] and the any function[2]
in typing hints.

[1] https://docs.python.org/3/library/typing.html#typing.Any
[2] https://docs.python.org/3/library/functions.html#any

* Fix typing for various frame_shape members

Frame shapes are most likely defined by height and width, so a single int
cannot express that.

* Wrap gpu stats functions in Optional[]

These can return `None`, so they need to be `Type | None`, which is what
`Optional` expresses very nicely.

* Fix return type in get_latest_segment_datetime

Returns a datetime object, not an integer.

* Make the return type of FrameManager.write optional

This is necessary since the SharedMemoryFrameManager.write function can
return None.

* Fix total_seconds() return type in get_tz_modifiers

The function returns a float, not an int.

https://docs.python.org/3/library/datetime.html#datetime.timedelta.total_seconds

* Account for floating point results in to_relative_box

Because the function uses division the return types may either be int or
float.

* Resolve ruff deprecation warning

The config has been split into formatter and linter, and the global
options are deprecated.

frigate/embeddings/onnx/base_embedding.py

@@ -5,6 +5,7 @@ import os
 from abc import ABC, abstractmethod
 from enum import Enum
 from io import BytesIO
+from typing import Any
 
 import numpy as np
 import requests
@@ -59,7 +60,7 @@ class BaseEmbedding(ABC):
         pass
 
     @abstractmethod
-    def _preprocess_inputs(self, raw_inputs: any) -> any:
+    def _preprocess_inputs(self, raw_inputs: Any) -> Any:
         pass
 
     def _process_image(self, image, output: str = "RGB") -> Image.Image:
@@ -74,7 +75,7 @@ class BaseEmbedding(ABC):
 
         return image
 
-    def _postprocess_outputs(self, outputs: any) -> any:
+    def _postprocess_outputs(self, outputs: Any) -> Any:
         return outputs
 
     def __call__(
@@ -84,7 +85,7 @@ class BaseEmbedding(ABC):
         processed = self._preprocess_inputs(inputs)
         input_names = self.runner.get_input_names()
         onnx_inputs = {name: [] for name in input_names}
-        input: dict[str, any]
+        input: dict[str, Any]
         for input in processed:
             for key, value in input.items():
                 if key in input_names: