code: def __call__(self, data):
      imgs = data["image"]
  
      if random.random() < self.p:
          for i in range(len(imgs)):
              imgs[i] = np.flip(imgs[i], axis=1).copy()
      data["image"] = imgs
      return data
  
imports: import os
  import cv2
  import random
  import pyclipper
  import paddle
  import numpy
  from ppocr.utils.utility import check_install
  import scipy.io
  from PIL import Image
  import paddle.vision.transforms
label_desc: Use image node_id 2 for calling the GroupRandomHorizontalFlip obj's underlying member method code with example usage: obj.__call__(data) and returns: data