onnx_coreml convert | 易学教程

from onnx_coreml import convert

def convert(model,
            mode=None,
            image_input_names=[],
            preprocessing_args={},
            image_output_names=[],
            deprocessing_args={},
            class_labels=None,
            predicted_feature_name='classLabel',
            add_custom_layers=False,
            custom_conversion_functions={},
            minimum_ios_deployment_target='12')

The function returns a Core ML model instance that can be saved to a .mlmodel file

Parameters

__model__: ONNX model | str
      An ONNX model with parameters loaded in onnx package or path to file
      with models.

__mode__: str ('classifier', 'regressor' or None)
      Mode of the converted coreml model:
      'classifier', a NeuralNetworkClassifier spec will be constructed.
      'regressor', a NeuralNetworkRegressor spec will be constructed.

__image_input_names__: list of strings
      Name of the inputs to be defined as image type. Otherwise, by default all inputs are MultiArray type.

__preprocessing_args__: dict
      Specify preprocessing parameters, that are be applied to all the image inputs specified through the "image_input_names" parameter.
      'is_bgr', 'red_bias', 'green_bias', 'blue_bias', 'gray_bias',
      'image_scale' keys with the same meaning as coremltools set_pre_processing_parameters: https://apple.github.io/coremltools/generated/coremltools.models.neural_network.builder.html#coremltools.models.neural_network.builder.NeuralNetworkBuilder.set_pre_processing_parameters

__image_output_names__: list of strings
      Name of the outputs to be defined as image type. Otherwise, by default all outputs are MultiArray type.

__deprocessing_args__: dict
      Same as 'preprocessing_args' but for the outputs.

From: onnx/onnx-coreml

https://pypi.org/project/onnx-coreml/

来源：CSDN

作者：tony2278

链接：https://blog.csdn.net/tony2278/article/details/103462516

标签

convert