code: def __call__(self, data):
      imgs = data["image"]
  
      max_angle = 10
      angle = random.random() * 2 * max_angle - max_angle
      for i in range(len(imgs)):
          img = imgs[i]
          w, h = img.shape[:2]
          rotation_matrix = cv2.getRotationMatrix2D(
              (h / 2, w / 2), angle, 1
          )
          img_rotation = cv2.warpAffine(
              img, rotation_matrix, (h, w), flags=cv2.INTER_NEAREST
          )
          imgs[i] = img_rotation
  
      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 GroupRandomRotate obj's underlying member method code with example usage: obj.__call__(data) and returns: data