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_indexes(self, url):
      pathname = url2pathname(url)
      # Javabridge gave us dud indexes, let's find our own planes
      self.__data = imageio.volread(pathname).astype(int)
      indexes = list(range(self.__data.shape[0]))
      return indexes
  
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 3 for calling the ObjectsImage obj's underlying member method code with example usage: obj.get_indexes(url) and returns: indexes