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	* add support for multi-line plates * config for model size * default to small model * add license plate as attribute to motorcycle * use model size * docs * attribute map * i18n key fix
		
			
				
	
	
		
			32 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			32 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
from frigate.embeddings.onnx.lpr_embedding import (
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    LicensePlateDetector,
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    PaddleOCRClassification,
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    PaddleOCRDetection,
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    PaddleOCRRecognition,
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)
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from ...types import DataProcessorModelRunner
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class LicensePlateModelRunner(DataProcessorModelRunner):
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    def __init__(self, requestor, device: str = "CPU", model_size: str = "small"):
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        super().__init__(requestor, device, model_size)
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        self.detection_model = PaddleOCRDetection(
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            model_size=model_size, requestor=requestor, device=device
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        )
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        self.classification_model = PaddleOCRClassification(
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            model_size=model_size, requestor=requestor, device=device
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        )
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        self.recognition_model = PaddleOCRRecognition(
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            model_size=model_size, requestor=requestor, device=device
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        )
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        self.yolov9_detection_model = LicensePlateDetector(
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            model_size=model_size, requestor=requestor, device=device
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        )
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        # Load all models once
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        self.detection_model._load_model_and_utils()
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        self.classification_model._load_model_and_utils()
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        self.recognition_model._load_model_and_utils()
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        self.yolov9_detection_model._load_model_and_utils()
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