code: def download_voc2007(root):
      path_devkit = os.path.join(root, "VOCdevkit")
      path_images = os.path.join(
          root, "VOCdevkit", "VOC2007", "JPEGImages"
      )
      tmpdir = os.path.join(root, "tmp")
  
      # create directory
      if not os.path.exists(root):
          os.makedirs(root)
  
      if not os.path.exists(path_devkit):
          if not os.path.exists(tmpdir):
              os.makedirs(tmpdir)
  
          parts = urlparse(urls["devkit"])
          filename = os.path.basename(parts.path)
          cached_file = os.path.join(tmpdir, filename)
  
          if not os.path.exists(cached_file):
              print(
                  'Downloading: "{}" to {}\n'.format(
                      urls["devkit"], cached_file
                  )
              )
              utils.download_url(urls["devkit"], cached_file)
  
          # extract file
          print(
              "[dataset] Extracting tar file {file} to {path}".format(
                  file=cached_file, path=root
              )
          )
          cwd = os.getcwd()
          tar = tarfile.open(cached_file, "r")
          os.chdir(root)
          tar.extractall()
          tar.close()
          os.chdir(cwd)
          print("[dataset] Done!")
  
      # train/val images/annotations
      if not os.path.exists(path_images):
          # download train/val images/annotations
          parts = urlparse(urls["trainval_2007"])
          filename = os.path.basename(parts.path)
          cached_file = os.path.join(tmpdir, filename)
  
          if not os.path.exists(cached_file):
              print(
                  'Downloading: "{}" to {}\n'.format(
                      urls["trainval_2007"], cached_file
                  )
              )
              utils.download_url(urls["trainval_2007"], cached_file)
  
          # extract file
          print(
              "[dataset] Extracting tar file {file} to {path}".format(
                  file=cached_file, path=root
              )
          )
          cwd = os.getcwd()
          tar = tarfile.open(cached_file, "r")
          os.chdir(root)
          tar.extractall()
          tar.close()
          os.chdir(cwd)
          print("[dataset] Done!")
  
      # test annotations
      test_anno = os.path.join(
          path_devkit, "VOC2007/ImageSets/Main/aeroplane_test.txt"
      )
      if not os.path.exists(test_anno):
          # download test annotations
          parts = urlparse(urls["test_images_2007"])
          filename = os.path.basename(parts.path)
          cached_file = os.path.join(tmpdir, filename)
  
          if not os.path.exists(cached_file):
              print(
                  'Downloading: "{}" to {}\n'.format(
                      urls["test_images_2007"], cached_file
                  )
              )
              utils.download_url(urls["test_images_2007"], cached_file)
  
          # extract file
          print(
              "[dataset] Extracting tar file {file} to {path}".format(
                  file=cached_file, path=root
              )
          )
          cwd = os.getcwd()
          tar = tarfile.open(cached_file, "r")
          os.chdir(root)
          tar.extractall()
          tar.close()
          os.chdir(cwd)
          print("[dataset] Done!")
  
      # test images
      test_image = os.path.join(
          path_devkit, "VOC2007/JPEGImages/000001.jpg"
      )
      if not os.path.exists(test_image):
          # download test images
          parts = urlparse(urls["test_anno_2007"])
          filename = os.path.basename(parts.path)
          cached_file = os.path.join(tmpdir, filename)
  
          if not os.path.exists(cached_file):
              print(
                  'Downloading: "{}" to {}\n'.format(
                      urls["test_anno_2007"], cached_file
                  )
              )
              utils.download_url(urls["test_anno_2007"], cached_file)
  
          # extract file
          print(
              "[dataset] Extracting tar file {file} to {path}".format(
                  file=cached_file, path=root
              )
          )
          cwd = os.getcwd()
          tar = tarfile.open(cached_file, "r")
          os.chdir(root)
          tar.extractall()
          tar.close()
          os.chdir(cwd)
          print("[dataset] Done!")
  
imports: from __future__ import print_function, division, absolute_import
  import csv
  import os
  import os.path
  import tarfile
  from six.moves.urllib.parse import urlparse
  import numpy
  import torch
  import torch.utils.data
  from PIL import Image
  from .None import utils
label_desc: Use image node_id 6 for calling a global function with example usage: download_voc2007(root) without return types