class_docstr: Provide a multi-plane integer image, interpreting an image file as objects
class_docstr_tok: ["Provide","a","multi-plane","integer","image",",","interpreting","an","image","file","as","objects"]
code: def get_image_volume(self):
      imdata = self.__data
      planes = []
      for planeid in range(imdata.shape[0]):
          planes.append(imdata[planeid].astype(numpy.int32))
      imdata = numpy.stack(planes)
  
      image = Image(
          imdata,
          path_name=self.get_pathname(),
          file_name=self.get_filename(),
          convert=False,
          dimensions=3,
      )
      self.__image = image
      return image
  
file_path: CellProfiler/src/subpackages/core/cellprofiler_core/image/abstract_image/file/url/_objects_image.py
imports: import imageio
  import numpy
  from ....None import Image
  from .....constants.image import MD_SIZE_C, MD_SIZE_Z, MD_SIZE_T
  from .....utilities.image import convert_image_to_objects
  from .....utilities.pathname import url2pathname
  from ._url_image import URLImage
label_desc: Use image node_id 4 for calling the ObjectsImage obj's underlying member method code with example usage: obj.get_image_volume() and returns: image