import tensorflow as tf

    #     (box_limits_x[1][0], box_limits_y[1], box_limits_z[1][0]),
    #     [self.resolution, self.resolution, self.resolution])
    # samples_world = grid.generate(
    #     (-5.0, -5.0, -5.0),
    #     (5.0, 5.0, 5.0),
    #     [self.resolution, self.resolution, self.resolution])
    samples_world = tf.reshape(samples_world, [-1, 3])
    ious = []

    status = False
    if status:
      _, axs = plt.subplots(labeled_translations.shape[0], 5)
