code: def warpBox(
      image,
      box,
      target_height=None,
      target_width=None,
      margin=0,
      cval=None,
      return_transform=False,
      skip_rotate=False,
  ):
      """Warp a boxed region in an image given by a set of four points into
      a rectangle with a specified width and height. Useful for taking crops
      of distorted or rotated text.
  
      Args:
          image: The image from which to take the box
          box: A list of four points starting in the top left
              corner and moving clockwise.
          target_height: The height of the output rectangle
          target_width: The width of the output rectangle
          return_transform: Whether to return the transformation
              matrix with the image.
      """
      if cval is None:
          cval = (0, 0, 0) if len(image.shape) == 3 else 0
      if not skip_rotate:
          box, _ = get_rotated_box(box)
      w, h = get_rotated_width_height(box)
      assert (target_width is None and target_height is None) or (
          target_width is not None and target_height is not None
      ), "Either both or neither of target width and height must be provided."
      if target_width is None and target_height is None:
          target_width = w
          target_height = h
      scale = min(target_width / w, target_height / h)
      M = cv2.getPerspectiveTransform(
          src=box,
          dst=np.array(
              [
                  [margin, margin],
                  [scale * w - margin, margin],
                  [scale * w - margin, scale * h - margin],
                  [margin, scale * h - margin],
              ]
          ).astype("float32"),
      )
      crop = cv2.warpPerspective(
          image, M, dsize=(int(scale * w), int(scale * h))
      )
      target_shape = (
          (target_height, target_width, 3)
          if len(image.shape) == 3
          else (target_height, target_width)
      )
      full = (np.zeros(target_shape) + cval).astype("uint8")
      full[: crop.shape[0], : crop.shape[1]] = crop
      if return_transform:
          return full, M
      return full
  
imports: import os
  import io
  import typing
  import hashlib
  import urllib.request
  import urllib.parse
  import cv2
  import imgaug
  import numpy
  import validators
  import typing_extensions
  import matplotlib.pyplot
  from shapely import geometry
  from scipy import spatial
label_desc: Use image node_id 3 for calling a global function with example usage: warpBox(image, box, target_height, target_width, margin, cval, return_transform, skip_rotate) and returns: full, full,  M