code: def __call__(self, img):
      height, width = img.shape[:2]
      startpoints, endpoints = self.get_params(
          width, height, self.distortion
      )
      M = cv2.getPerspectiveTransform(startpoints, endpoints)
  
      # TODO: more robust way to crop image
      rect = cv2.minAreaRect(endpoints)
      bbox = cv2.boxPoints(rect).astype(dtype=np.int32)
      max_x, max_y = bbox[:, 0].max(), bbox[:, 1].max()
      min_x, min_y = bbox[:, 0].min(), bbox[:, 1].min()
      min_x, min_y = max(min_x, 0), max(min_y, 0)
  
      flags = get_interpolation()
      img = cv2.warpPerspective(
          img,
          M,
          (max_x, max_y),
          flags=flags,
          borderMode=cv2.BORDER_REPLICATE,
      )
      img = img[min_y:, min_x:]
      return img
  
imports: import math
  import numbers
  import random
  import cv2
  import numpy
  from paddle.vision.transforms import Compose, ColorJitter
label_desc: Use image node_id 3 for calling the CVRandomPerspective obj's underlying member method code with example usage: obj.__call__(img) and returns: img