class_docstr: Inject objects with labels into the pipeline
docstr: Initialize the module with the objects for the object set
  
  object_name - name of the objects to be provided
  segmented   - labels for the segmentation of the image
  unedited_segmented - labels including small and boundary, default =
                       same as segmented
  small_removed_segmented - labels with small objects removed, default =
                            same as segmented
docstr_tok: ["Initialize","the","module","with","the","objects","for","the","object","set","object_name","-","name","of","the","objects","to","be","provided","segmented","-","labels","for","the","segmentation","of","the","image","unedited_segmented","-","labels","including","small","and","boundary",",","default","=","same","as","segmented","small_removed_segmented","-","labels","with","small","objects","removed",",","default","=","same","as","segmented"]
code: def __init__(
      self,
      object_name,
      segmented,
      unedited_segmented=None,
      small_removed_segmented=None,
  ):
      """Initialize the module with the objects for the object set
  
      object_name - name of the objects to be provided
      segmented   - labels for the segmentation of the image
      unedited_segmented - labels including small and boundary, default =
                           same as segmented
      small_removed_segmented - labels with small objects removed, default =
                                same as segmented
      """
      super(InjectObjects, self).__init__()
      self.object_name = LabelName("text", object_name)
      self.__segmented = segmented
      self.__unedited_segmented = unedited_segmented
      self.__small_removed_segmented = small_removed_segmented
  
imports: from ..module import Module
  from ..object import Objects
  from ..setting.text.alphanumeric.name._label_name import LabelName
label_desc: Use image node_id 1 to create a new InjectObjects object from inherited base classes: Module with example: obj = InjectObjects(object_name, segmented, unedited_segmented, small_removed_segmented)