refactor: remove hardcoded modelid
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parent
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4 changed files with 34 additions and 49 deletions
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@ -27,21 +27,23 @@ class DetectionPipeline:
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Handles detection execution, branch coordination, and result aggregation.
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"""
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def __init__(self, pipeline_parser: PipelineParser, model_manager: Any, message_sender=None):
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def __init__(self, pipeline_parser: PipelineParser, model_manager: Any, model_id: int, message_sender=None):
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"""
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Initialize detection pipeline.
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Args:
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pipeline_parser: Pipeline parser with loaded configuration
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model_manager: Model manager for loading models
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model_id: The model ID to use for loading models
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message_sender: Optional callback function for sending WebSocket messages
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"""
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self.pipeline_parser = pipeline_parser
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self.model_manager = model_manager
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self.model_id = model_id
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self.message_sender = message_sender
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# Initialize components
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self.branch_processor = BranchProcessor(model_manager)
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self.branch_processor = BranchProcessor(model_manager, model_id)
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self.redis_manager = None
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self.db_manager = None
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self.license_plate_manager = None
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@ -150,23 +152,14 @@ class DetectionPipeline:
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# Load detection model
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logger.info(f"Loading detection model: {model_id} ({model_file})")
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# Get the model ID from the ModelManager context
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pipeline_models = list(self.model_manager.get_all_downloaded_models())
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if pipeline_models:
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actual_model_id = pipeline_models[0] # Use the first available model
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self.detection_model = self.model_manager.get_yolo_model(actual_model_id, model_file)
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else:
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logger.error("No models available in ModelManager")
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self.detection_model = self.model_manager.get_yolo_model(self.model_id, model_file)
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if not self.detection_model:
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logger.error(f"Failed to load detection model {model_file} from model {self.model_id}")
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return False
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self.detection_model_id = model_id
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if self.detection_model:
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logger.info(f"Detection model {model_id} loaded successfully")
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return True
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else:
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logger.error(f"Failed to load detection model {model_id}")
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return False
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logger.info(f"Detection model {model_id} loaded successfully")
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return True
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except Exception as e:
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logger.error(f"Error initializing detection model: {e}", exc_info=True)
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@ -301,8 +294,8 @@ class DetectionPipeline:
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"licensePlateText": license_text,
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"licensePlateConfidence": confidence
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},
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modelId=52, # Default model ID
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modelName="yolo11m" # Default model name
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modelId=self.model_id,
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modelName=self.pipeline_parser.pipeline_config.model_id if self.pipeline_parser.pipeline_config else "detection_model"
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)
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# Create imageDetection message
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@ -342,8 +335,8 @@ class DetectionPipeline:
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"licensePlateText": None,
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"licensePlateConfidence": None
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},
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modelId=52, # Default model ID
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modelName="yolo11m" # Default model name
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modelId=self.model_id,
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modelName=self.pipeline_parser.pipeline_config.model_id if self.pipeline_parser.pipeline_config else "detection_model"
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)
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# Create imageDetection message
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