在OpenCV上使用Tensorflow 2.X模型

我必须在OpenCV框架（带有C ++的v.4.X）中使用Tensorflow 2.X模型。

为此，我需要一个.pb文件或.pb和.pbtxt文件，而不是像我一样的Tensorflow Saved Model。

所以我的问题是：有没有一种方法可以将保存的模型转换为OpenCV可以读取的格式？可能是咖啡模型？

我尝试了MMdnn，但它给了我一个奇怪的错误：

Traceback (most recent call last):
  File "/usr/local/bin/mmconvert", line 8, in <module>
    sys.exit(_main())
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convert.py", line 102, in _main
    ret = convertToIR._convert(ir_args)
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 62, in _convert
    from mmdnn.conversion.tensorflow.tensorflow_parser import TensorflowParser
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/tensorflow/tensorflow_parser.py", line 15, in <module>
    from tensorflow.tools.graph_transforms import TransformGraph
ImportError: No module named 'tensorflow.tools.graph_transforms'

我想这是因为它是使用Tensorflow 1.X开发和测试的。

编辑：我也有相对的Keras模型（现在它已与Tensorflow 2集成），但它也与OpenCV DNN框架不兼容。尝试使用MMdnn进行转换时出现此错误：

Traceback (most recent call last):
  File "/usr/local/bin/mmconvert", line 8, in <module>
    sys.exit(_main())
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convert.py", line 102, in _main
    ret = convertToIR._convert(ir_args)
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 46, in _convert
    parser = Keras2Parser(model)
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/keras/keras2_parser.py", line 126, in __init__
    model = self._load_model(model[0], model[1])
  File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/keras/keras2_parser.py", line 78, in _load_model
    'DepthwiseConv2D': layers.DepthwiseConv2D})
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/saving.py", line 664, in model_from_json
    return deserialize(config, custom_objects=custom_objects)
  File "/usr/local/lib/python3.5/dist-packages/keras/layers/__init__.py", line 168, in deserialize
    printable_module_name='layer')
  File "/usr/local/lib/python3.5/dist-packages/keras/utils/generic_utils.py", line 147, in deserialize_keras_object
    list(custom_objects.items())))
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/network.py", line 1056, in from_config
    process_layer(layer_data)
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/network.py", line 1042, in process_layer
    custom_objects=custom_objects)
  File "/usr/local/lib/python3.5/dist-packages/keras/layers/__init__.py", line 168, in deserialize
    printable_module_name='layer')
  File "/usr/local/lib/python3.5/dist-packages/keras/utils/generic_utils.py", line 149, in deserialize_keras_object
    return cls.from_config(config['config'])
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/base_layer.py", line 1179, in from_config
    return cls(**config)
  File "/usr/local/lib/python3.5/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.5/dist-packages/keras/layers/convolutional.py", line 484, in __init__
    **kwargs)
  File "/usr/local/lib/python3.5/dist-packages/keras/layers/convolutional.py", line 117, in __init__
    self.kernel_initializer = initializers.get(kernel_initializer)
  File "/usr/local/lib/python3.5/dist-packages/keras/initializers.py", line 515, in get
    return deserialize(identifier)
  File "/usr/local/lib/python3.5/dist-packages/keras/initializers.py", line 510, in deserialize
    printable_module_name='initializer')
  File "/usr/local/lib/python3.5/dist-packages/keras/utils/generic_utils.py", line 140, in deserialize_keras_object
    ': ' + class_name)
ValueError: Unknown initializer: GlorotUniform