code: def flip_test(model, image, shrink):
      img = cv2.flip(image, 1)
      det_f = detect_face(model, img, shrink)
      det_t = np.zeros(det_f.shape)
      img_width = image.shape[1]
      det_t[:, 0] = img_width - det_f[:, 2]
      det_t[:, 1] = det_f[:, 1]
      det_t[:, 2] = img_width - det_f[:, 0]
      det_t[:, 3] = det_f[:, 3]
      det_t[:, 4] = det_f[:, 4]
      return det_t
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import cv2
  import numpy
  from collections import OrderedDict
  import paddle
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 3 for calling a global function with example usage: flip_test(model, image, shrink) and returns: det_t