Fallback from tflite-runtime to ai-edge-litert (#21876)

The fallback to tensorflow was established back in 2023, because we could
not provide tflite-runtime downstream in nixpkgs.

By now we have ai-edge-litert available, which is the successor to the
tflite-runtime. It still provides the same entrypoints as tflite-runtime
and functionality has been verified in multiple deployments for the last
two weeks.

frigate/detectors/detector_utils.py

@@ -6,7 +6,7 @@ import numpy as np
 try:
     from tflite_runtime.interpreter import Interpreter, load_delegate
 except ModuleNotFoundError:
-    from tensorflow.lite.python.interpreter import Interpreter, load_delegate
+    from ai_edge_litert.interpreter import Interpreter, load_delegate
 
 
 logger = logging.getLogger(__name__)

frigate/detectors/plugins/cpu_tfl.py

@@ -12,7 +12,7 @@ from ..detector_utils import tflite_detect_raw, tflite_init
 try:
     from tflite_runtime.interpreter import Interpreter
 except ModuleNotFoundError:
-    from tensorflow.lite.python.interpreter import Interpreter
+    from ai_edge_litert.interpreter import Interpreter
 
 
 logger = logging.getLogger(__name__)

frigate/detectors/plugins/edgetpu_tfl.py

@@ -13,7 +13,7 @@ from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
 try:
     from tflite_runtime.interpreter import Interpreter, load_delegate
 except ModuleNotFoundError:
-    from tensorflow.lite.python.interpreter import Interpreter, load_delegate
+    from ai_edge_litert.interpreter import Interpreter, load_delegate
 
 logger = logging.getLogger(__name__)