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	* Remove yolov8 support from Frigate * Remove yolov8 from dev * Remove builds * Formatting and remove yolov5 * Fix lint * remove models download --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
		
			
				
	
	
		
			48 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			48 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import logging
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| 
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| import numpy as np
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| from typing_extensions import Literal
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| 
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| from frigate.detectors.detection_api import DetectionApi
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| from frigate.detectors.detector_config import BaseDetectorConfig
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| from frigate.detectors.util import preprocess
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| 
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| logger = logging.getLogger(__name__)
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| 
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| DETECTOR_KEY = "onnx"
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| 
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| 
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| class ONNXDetectorConfig(BaseDetectorConfig):
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|     type: Literal[DETECTOR_KEY]
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| 
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| 
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| class ONNXDetector(DetectionApi):
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|     type_key = DETECTOR_KEY
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| 
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|     def __init__(self, detector_config: ONNXDetectorConfig):
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|         try:
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|             import onnxruntime
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| 
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|             logger.info("ONNX: loaded onnxruntime module")
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|         except ModuleNotFoundError:
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|             logger.error(
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|                 "ONNX: module loading failed, need 'pip install onnxruntime'?!?"
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|             )
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|             raise
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| 
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|         path = detector_config.model.path
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|         logger.info(f"ONNX: loading {detector_config.model.path}")
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|         self.model = onnxruntime.InferenceSession(path)
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|         logger.info(f"ONNX: {path} loaded")
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| 
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|     def detect_raw(self, tensor_input):
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|         model_input_name = self.model.get_inputs()[0].name
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|         model_input_shape = self.model.get_inputs()[0].shape
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|         tensor_input = preprocess(tensor_input, model_input_shape, np.float32)
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|         # ruff: noqa: F841
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|         tensor_output = self.model.run(None, {model_input_name: tensor_input})[0]
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| 
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|         raise Exception(
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|             "No models are currently supported via onnx. See the docs for more info."
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|         )
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