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Reduce tf initialization

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This commit is contained in:
Nicolas Mowen 2025-06-13 18:22:13 -06:00
parent c3ba834a1c
commit 13e90f7f49
1 changed files with 7 additions and 4 deletions
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frigate/util/classification.py
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@ -5,10 +5,6 @@ import sys
import cv2
import numpy as np
import tensorflow as tf
from tensorflow.keras import layers, models, optimizers
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from frigate.comms.embeddings_updater import EmbeddingsRequestEnum, EmbeddingsRequestor
from frigate.comms.inter_process import InterProcessRequestor
@ -44,6 +40,13 @@ def __generate_representative_dataset_factory(dataset_dir: str):
@staticmethod
def __train_classification_model(model_name: str) -> bool:
"""Train a classification model."""
# import in the function so that tensorflow is not initialized multiple times
import tensorflow as tf
from tensorflow.keras import layers, models, optimizers
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.preprocessing.image import ImageDataGenerator
dataset_dir = os.path.join(CLIPS_DIR, model_name, "dataset")
model_dir = os.path.join(MODEL_CACHE_DIR, model_name)
num_classes = len(