Add ability to configure model input dtype (#14659)

* Add input type for dtype

* Add ability to manually enable TRT execution provider

* Formatting

frigate/object_detection.py

@@ -12,7 +12,11 @@ from setproctitle import setproctitle
 
 import frigate.util as util
 from frigate.detectors import create_detector
-from frigate.detectors.detector_config import BaseDetectorConfig, InputTensorEnum
+from frigate.detectors.detector_config import (
+    BaseDetectorConfig,
+    InputDTypeEnum,
+    InputTensorEnum,
+)
 from frigate.detectors.plugins.rocm import DETECTOR_KEY as ROCM_DETECTOR_KEY
 from frigate.util.builtin import EventsPerSecond, load_labels
 from frigate.util.image import SharedMemoryFrameManager
@@ -55,12 +59,15 @@ class LocalObjectDetector(ObjectDetector):
                 self.input_transform = tensor_transform(
                     detector_config.model.input_tensor
                 )
+
+            self.dtype = detector_config.model.input_dtype
         else:
             self.input_transform = None
+            self.dtype = InputDTypeEnum.int
 
         self.detect_api = create_detector(detector_config)
 
-    def detect(self, tensor_input, threshold=0.4):
+    def detect(self, tensor_input: np.ndarray, threshold=0.4):
         detections = []
 
         raw_detections = self.detect_raw(tensor_input)
@@ -77,9 +84,13 @@ class LocalObjectDetector(ObjectDetector):
         self.fps.update()
         return detections
 
-    def detect_raw(self, tensor_input):
+    def detect_raw(self, tensor_input: np.ndarray):
         if self.input_transform:
             tensor_input = np.transpose(tensor_input, self.input_transform)
+
+        if self.dtype == InputDTypeEnum.float:
+            tensor_input = tensor_input.astype(np.float32)
+
         return self.detect_api.detect_raw(tensor_input=tensor_input)