TypeError:"InputLayer"对象不可与CoreMLTools迭代 [英] TypeError: 'InputLayer' object is not iterable with CoreMLTools

问题描述

我正在尝试将VGG模型转换为coremltools.当我运行以下代码以转换模型时:

I'm trying to convert a VGG model to coremltools. When I run the following code to convert the model:

with CustomObjectScope({'relu6': keras.layers.ReLU,'DepthwiseConv2D': keras.layers.DepthwiseConv2D}):
    from keras.models import load_model
    import coremltools


model_directory = 'KerasModels/VGG-7-3-20_13categories.h5'

keras_model = load_model(model_directory)
input_layer = InputLayer(input_shape=(224, 224, 3), name="input_1")

# Save and convert :
keras_model.layers[0] = input_layer
keras_model.save(model_directory)
print("Changed2")


your_model = coremltools.converters.keras.convert(model_directory, input_names=['image'], output_names=['output'], image_input_names='image')




your_model.save('RecycleNet.mlmodel')

我收到以下错误:

TypeError: 'InputLayer' object is not iterable

我应该如何将该模型转换为coremltools?谢谢

How should I go about converting this model to coremltools? Thanks

推荐答案

我通过从以下方式切换来解决了该错误:

I fixed this error by switching from using:

coremltools.converters.keras

收件人:

coremltools.converters.tensorflow

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