Upgrade TensorRT to 8.5.3 (#7006)

* Update to latest tensorrt (8.6.1) release

* Build trt libyolo_layer.so in container

* Update tensorrt_models script to convert models from the frigate container

* Fix typo in model script

* Fix paths to yolo lib and models folder

* Add S6 scripts to test and convert specified TensortRT models at startup.

Rearrange tensorrt files into a docker support folder.

* Update TensorRT documentation to reflect the new model conversion process and minimum HW support.

* Fix model_cache path to live in config directory

* Move tensorrt s6 files to the correct directory

* Fix issues in model generation script

* Disable global timeout for s6 services

* Add version folder to tensorrt model_cache path

* Include TensorRT version 8.5.3

* Add numpy requirement prior to removal of np.bool

* This TRT version uses a mixture of cuda dependencies

* Redirect stdout from noisy model conversion

frigate/detectors/plugins/tensorrt.py

@@ -78,7 +78,7 @@ class TensorRtDetector(DetectionApi):
         try:
             trt.init_libnvinfer_plugins(self.trt_logger, "")
 
-            ctypes.cdll.LoadLibrary("/trt-models/libyolo_layer.so")
+            ctypes.cdll.LoadLibrary("/usr/local/lib/libyolo_layer.so")
         except OSError as e:
             logger.error(
                 "ERROR: failed to load libraries. %s",