code: def next(self):
      from PIL import Image
  
      if self.count + self.batch_size <= len(self.filenames):
          data = []
          label = []
          for i in range(self.batch_size):
              fn = self.filenames[self.count]
              self.count += 1
              image = Image.open(fn).convert("YCbCr").split()[0]
              if image.size[0] > image.size[1]:
                  image = image.transpose(Image.TRANSPOSE)
              image = mx.np.expand_dims(mx.np.array(image), axis=2)
              target = image.copy()
              for aug in self.input_aug:
                  image = aug(image)
              for aug in self.target_aug:
                  target = aug(target)
              data.append(image)
              label.append(target)
  
          data = mx.np.concatenate(
              [mx.np.expand_dims(d, axis=0) for d in data], axis=0
          )
          label = mx.np.concatenate(
              [mx.np.expand_dims(d, axis=0) for d in label], axis=0
          )
          data = [
              mx.np.transpose(data, axes=(0, 3, 1, 2)).astype("float32")
              / 255
          ]
          label = [
              mx.np.transpose(label, axes=(0, 3, 1, 2)).astype(
                  "float32"
              )
              / 255
          ]
  
          return mx.io.DataBatch(data=data, label=label)
      else:
          raise StopIteration
  
imports: import os
  import random
  import tarfile
  import logging
  import tarfile
  import mxnet
  from mxnet.test_utils import get_cifar10
  from mxnet.gluon.data.vision import ImageFolderDataset
  from mxnet.gluon.data import DataLoader
  from mxnet.contrib.io import DataLoaderIter
label_desc: Use image node_id 2 for calling the ImagePairIter obj's underlying member method code with example usage: obj.next() and returns: mx