class_docstr: Extract image feature using pretrained CNN network.
class_docstr_tok: ["Extract","image","feature","using","pretrained","CNN","network","."]
code: def _get_prepath(self, path):
      if ".zip" in path:
          zipname, file_name = self._breakup_zip_filename(path)
          task = self.opt["task"]
          prepath = os.path.join(self.opt["datapath"], task)
          imagefn = (
              "".join(zipname.strip(".zip").split("/")[-2:]) + path.name
          )
          return prepath, imagefn
      else:
          prepath, imagefn = os.path.split(path)
          return prepath, imagefn
  
imports: import parlai.core.build_data
  import parlai.utils.logging
  from parlai.utils.io import PathManager
  import os
  from PIL import Image
  import torch
  from zipfile import ZipFile
label_desc: Use image node_id 11 for calling the ImageLoader obj's underlying member method code with example usage: obj._get_prepath(path) and returns: prepath,  imagefn, prepath,  imagefn