class_docstr: The layer that resizes a set of two-dimensional multi-channel images.
  
  :param input_layer: The input layer and the number of its output. If no number
      is specified, the first output will be connected.
  :type input_layer: object, tuple(object, int)
  :param deltas: The differences between the original and the resized image, 
      on each side. If the difference is negative, rows or columns are
      removed from the specified side. If it is positive, rows or
      columns are added and filled with the default_value pixels.
  :type deltas: str, ("left", "right", "top", "bottom")
  :param default_value: The value for the added pixels.
  :type default_value: float, default=0.0 
  :param name: The layer name.
  :type name: str, default=None
  
  .. rubric:: Layer inputs:
  
  (1) a set of images, of the dimensions:
  
      - **BatchLength** * **BatchWidth** * **ListSize** - the number of images
      - **Height** - the images' height
      - **Width** - the images' width
      - **Depth** * **Channels** - the number of channels the image format uses
  
  .. rubric:: Layer outputs:
  
  (1) a blob with the resized images, of the dimensions:
  
      - **BatchLength**, **BatchWidth**, **ListSize**, **Depth**, **Channels** are 
        equal to the input dimensions
      - **Height** is the input Height plus the sum of top and bottom deltas
      - **Width** is the input Width plus the sum of right and left deltas
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docstr: Sets the default value for new pixels.
          
docstr_tok: ["Sets","the","default","value","for","new","pixels","."]
code: def default_value(self, default_value):
      """Sets the default value for new pixels."""
      self._internal.set_default_value(default_value)
  
file_path: neoml/NeoML/Python/neoml/Dnn/ImageConversion.py
imports: import neoml.PythonWrapper
  from .Dnn import Layer
  from neoml.Utils import check_input_layers
label_desc: Use image node_id 5 for calling the ImageResize obj's underlying member method code with example usage: obj.default_value(default_value) without return types