code: def __iter__(self):
      for image, _ in self.ds:
          theta = self.rng.uniform(0, 2 * np.pi)
          filtered_image, gt_filter = ThetaImages.filter_with_theta(
              image, theta
          )
          yield [theta, image, filtered_image, gt_filter]
  
imports: import argparse
  import multiprocessing
  import numpy
  import cv2
  import tensorflow
  from scipy.signal import convolve2d
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.utils import logger
  from tensorpack.utils.gpu import change_gpu
  from tensorpack.utils.argtools import shape2d, shape4d
  from tensorpack.utils.viz import *
label_desc: Use image node_id 5 for calling the ThetaImages obj's underlying member method code with example usage: obj.__iter__() without return types