class_docstr: Convenience wrapper for BoxList with masks.
  
  BoxMaskList extends the np_box_list.BoxList to contain masks as well.
  In particular, its constructor receives both boxes and masks. Note that the
  masks correspond to the full image.
class_docstr_tok: ["Convenience","wrapper","for","BoxList","with","masks",".","BoxMaskList","extends","the","np_box_list.BoxList","to","contain","masks","as","well",".","In","particular",",","its","constructor","receives","both","boxes","and","masks",".","Note","that","the","masks","correspond","to","the","full","image","."]
docstr: Convenience function for accessing masks.
  
  Returns:
    a numpy array of shape [N, height, width] representing masks
docstr_tok: ["Convenience","function","for","accessing","masks",".","Returns",":","a","numpy","array","of","shape","[","N",",","height",",","width","]","representing","masks"]
code: def get_masks(self):
      """Convenience function for accessing masks.
  
      Returns:
        a numpy array of shape [N, height, width] representing masks
      """
      return self.get_field("masks")
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import numpy
  from .None import np_box_list
label_desc: Use image node_id 2 for calling the BoxMaskList obj's underlying member method code with example usage: obj.get_masks() and returns: self