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https://github.com/blakeblackshear/frigate.git
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ab7b12da54
* Refactor common functions for tflite detector implementations * Add detector using mesa teflon delegate Non-EdgeTPU TFLite can use the standard .tflite format * Add mesa-teflon-delegate from bookworm-backports to arm64 images
75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
import logging
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import os
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import numpy as np
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try:
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from tflite_runtime.interpreter import Interpreter, load_delegate
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except ModuleNotFoundError:
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from tensorflow.lite.python.interpreter import Interpreter, load_delegate
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logger = logging.getLogger(__name__)
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def tflite_init(self, interpreter):
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self.interpreter = interpreter
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self.interpreter.allocate_tensors()
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self.tensor_input_details = self.interpreter.get_input_details()
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self.tensor_output_details = self.interpreter.get_output_details()
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def tflite_detect_raw(self, tensor_input):
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self.interpreter.set_tensor(self.tensor_input_details[0]["index"], tensor_input)
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self.interpreter.invoke()
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boxes = self.interpreter.tensor(self.tensor_output_details[0]["index"])()[0]
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class_ids = self.interpreter.tensor(self.tensor_output_details[1]["index"])()[0]
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scores = self.interpreter.tensor(self.tensor_output_details[2]["index"])()[0]
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count = int(self.interpreter.tensor(self.tensor_output_details[3]["index"])()[0])
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detections = np.zeros((20, 6), np.float32)
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for i in range(count):
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if scores[i] < 0.4 or i == 20:
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break
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detections[i] = [
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class_ids[i],
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float(scores[i]),
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boxes[i][0],
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boxes[i][1],
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boxes[i][2],
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boxes[i][3],
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]
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return detections
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def tflite_load_delegate_interpreter(
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delegate_library: str, detector_config, device_config
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):
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try:
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logger.info("Attempting to load NPU")
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tf_delegate = load_delegate(delegate_library, device_config)
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logger.info("NPU found")
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interpreter = Interpreter(
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model_path=detector_config.model.path,
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experimental_delegates=[tf_delegate],
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)
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return interpreter
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except ValueError:
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_, ext = os.path.splitext(detector_config.model.path)
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if ext and ext != ".tflite":
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logger.error(
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"Incorrect model used with NPU. Only .tflite models can be used with a TFLite delegate."
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)
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else:
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logger.error(
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"No NPU was detected. If you do not have a TFLite device yet, you must configure CPU detectors."
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)
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raise
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