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@ -42,7 +42,7 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
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self.model_config = model_config
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self.model_config = model_config
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self.requestor = requestor
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self.requestor = requestor
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self.model_dir = os.path.join(MODEL_CACHE_DIR, self.model_config.name)
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self.model_dir = os.path.join(MODEL_CACHE_DIR, self.model_config.name)
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self.train_dir = os.path.join(CLIPS_DIR, self.model_config.name)
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self.train_dir = os.path.join(CLIPS_DIR, self.model_config.name, "train")
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self.interpreter: Interpreter = None
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self.interpreter: Interpreter = None
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self.tensor_input_details: dict[str, Any] = None
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self.tensor_input_details: dict[str, Any] = None
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self.tensor_output_details: dict[str, Any] = None
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self.tensor_output_details: dict[str, Any] = None
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@ -9,6 +9,8 @@ from tensorflow.keras import layers, models, optimizers
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from tensorflow.keras.applications import MobileNetV2
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from tensorflow.keras.applications import MobileNetV2
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from frigate.const import CLIPS_DIR, MODEL_CACHE_DIR
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BATCH_SIZE = 16
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BATCH_SIZE = 16
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EPOCHS = 50
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EPOCHS = 50
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LEARNING_RATE = 0.001
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LEARNING_RATE = 0.001
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@ -35,9 +37,10 @@ def generate_representative_dataset_factory(dataset_dir: str):
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@staticmethod
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@staticmethod
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def train_classification_model(model_dir: str) -> bool:
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def train_classification_model(model_name: str) -> bool:
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"""Train a classification model."""
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"""Train a classification model."""
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dataset_dir = os.path.join(model_dir, "dataset")
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dataset_dir = os.path.join(CLIPS_DIR, model_name, "dataset")
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model_dir = os.path.join(MODEL_CACHE_DIR, model_name)
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num_classes = len(
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num_classes = len(
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[
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[
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d
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d
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