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 __init__(
      self,
      name,
      url,
      series,
      index,
      volume=False,
      spacing=None,
      z=None,
      t=None,
  ):
      self.__data = None
      self.volume = volume
      if volume:
          index = self.get_indexes(url)
          series = None
      self.__image = None
      self.__spacing = spacing
      URLImage.__init__(
          self,
          name,
          url,
          rescale=False,
          series=series,
          index=index,
          volume=volume,
          z=z,
          t=t,
      )
  
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 1 to create a new ObjectsImage object from inherited base classes: URLImage with example: obj = ObjectsImage(name, url, series, index, volume, spacing, z, t)