class_docstr: The Places365-Standard Dataset, in low resolution format only.
  Produces BGR images of shape (256, 256, 3) in range [0, 255].
code: def __iter__(self):
      idxs = np.arange(len(self._files))
      if self.shuffle:
          self.rng.shuffle(idxs)
      for k in idxs:
          fname, label = self._files[k]
          im = cv2.imread(fname, cv2.IMREAD_COLOR)
          assert im is not None, fname
          yield [im, label]
  
file_path: tensorpack/tensorpack/dataflow/dataset/places.py
imports: import os
  import numpy
  from ...utils import logger
  from ..base import RNGDataFlow
label_desc: Use image node_id 4 for calling the Places365Standard obj's underlying member method code with example usage: obj.__iter__() without return types