refactor: remove hardcoded modelid
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4 changed files with 34 additions and 49 deletions
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@ -25,17 +25,19 @@ class TrackingPipelineIntegration:
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Manages tracking state transitions and pipeline execution triggers.
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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 tracking-pipeline integration.
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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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# Store subscription info for snapshot access
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@ -101,15 +103,9 @@ class TrackingPipelineIntegration:
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# Load tracking model
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logger.info(f"Loading tracking model: {model_id} ({model_file})")
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# Get the model ID from the ModelManager context
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# We need the actual model ID, not the model string identifier
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# For now, let's extract it from the model manager
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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.tracking_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.tracking_model = self.model_manager.get_yolo_model(self.model_id, model_file)
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if not self.tracking_model:
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logger.error(f"Failed to load tracking model {model_file} from model {self.model_id}")
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return False
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self.tracking_model_id = model_id
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@ -141,7 +137,7 @@ class TrackingPipelineIntegration:
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return False
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# Create detection pipeline with message sender capability
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self.detection_pipeline = DetectionPipeline(self.pipeline_parser, self.model_manager, self.message_sender)
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self.detection_pipeline = DetectionPipeline(self.pipeline_parser, self.model_manager, self.model_id, self.message_sender)
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# Initialize detection pipeline
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if await self.detection_pipeline.initialize():
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@ -637,8 +633,8 @@ class TrackingPipelineIntegration:
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detection_message = create_image_detection(
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subscription_identifier=subscription_id,
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detection_data=None, # Null detection indicates abandonment
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model_id=52,
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model_name="front_rear_detection_v1"
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model_id=self.model_id,
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model_name=self.pipeline_parser.tracking_config.model_id if self.pipeline_parser.tracking_config else "tracking_model"
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)
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# Send to backend via WebSocket if sender is available
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