Fallback from tflite-runtime to ai-edge-litert

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.
This commit is contained in:
Martin Weinelt 2026-02-04 02:47:34 +01:00
parent 21e4b36c7c
commit 67dca94651
No known key found for this signature in database
GPG Key ID: 87C1E9888F856759
7 changed files with 8 additions and 8 deletions

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@ -22,7 +22,7 @@ from .api import RealTimeProcessorApi
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__)

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@ -32,7 +32,7 @@ from .api import RealTimeProcessorApi
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__)
@ -76,7 +76,7 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
try:
from tflite_runtime.interpreter import Interpreter
except ModuleNotFoundError:
from tensorflow.lite.python.interpreter import Interpreter
from ai_edge_litert.interpreter import Interpreter
model_path = os.path.join(self.model_dir, "model.tflite")
labelmap_path = os.path.join(self.model_dir, "labelmap.txt")

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@ -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__)

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@ -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__)

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@ -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__)

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@ -17,7 +17,7 @@ from .base_embedding import BaseEmbedding
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__)

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@ -43,7 +43,7 @@ from frigate.video import start_or_restart_ffmpeg, stop_ffmpeg
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__)