code: def _flip_image(
      self,
      image_array,
      boxes_array=None,
      left_right=False,
      up_down=False,
      bboxes_dtype=tf.int32,
  ):
      image = tf.placeholder(tf.float32, image_array.shape)
      feed_dict = {
          image: image_array,
      }
      if boxes_array is not None:
          boxes = tf.placeholder(bboxes_dtype, boxes_array.shape)
          feed_dict[boxes] = boxes_array
      else:
          boxes = None
      flipped = flip_image(
          image, bboxes=boxes, left_right=left_right, up_down=up_down
      )
      with self.test_session() as sess:
          flipped_dict = sess.run(flipped, feed_dict=feed_dict)
          return flipped_dict["image"], flipped_dict.get("bboxes")
  
imports: import numpy
  import tensorflow
  from easydict import EasyDict
  from luminoth.utils.image import resize_image, flip_image, random_patch, random_resize, random_distortion, patch_image
  from luminoth.utils.test.gt_boxes import generate_gt_boxes
label_desc: Use image node_id 5 for calling the ImageTest obj's underlying member method code with example usage: obj._flip_image(image_array, boxes_array, left_right, up_down, bboxes_dtype) and returns: flipped_dict,  flipped_dict