code: def random_crop_flip(self, results):
      image = results["image"]
      polygons = results["polys"]
      ignore_tags = results["ignore_tags"]
      if len(polygons) == 0:
          return results
  
      if np.random.random() >= self.crop_ratio:
          return results
  
      h, w, _ = image.shape
      area = h * w
      pad_h = int(h * self.pad_ratio)
      pad_w = int(w * self.pad_ratio)
      h_axis, w_axis = self.generate_crop_target(
          image, polygons, pad_h, pad_w
      )
      if len(h_axis) == 0 or len(w_axis) == 0:
          return results
  
      attempt = 0
      while attempt < 50:
          attempt += 1
          polys_keep = []
          polys_new = []
          ignore_tags_keep = []
          ignore_tags_new = []
          xx = np.random.choice(w_axis, size=2)
          xmin = np.min(xx) - pad_w
          xmax = np.max(xx) - pad_w
          xmin = np.clip(xmin, 0, w - 1)
          xmax = np.clip(xmax, 0, w - 1)
          yy = np.random.choice(h_axis, size=2)
          ymin = np.min(yy) - pad_h
          ymax = np.max(yy) - pad_h
          ymin = np.clip(ymin, 0, h - 1)
          ymax = np.clip(ymax, 0, h - 1)
          if (xmax - xmin) * (ymax - ymin) < area * self.min_area_ratio:
              # area too small
              continue
  
          pts = np.stack(
              [[xmin, xmax, xmax, xmin], [ymin, ymin, ymax, ymax]]
          ).T.astype(np.int32)
          pp = Polygon(pts)
          fail_flag = False
          for polygon, ignore_tag in zip(polygons, ignore_tags):
              ppi = Polygon(polygon.reshape(-1, 2))
              ppiou, _ = poly_intersection(ppi, pp, buffer=0)
              if (
                  np.abs(ppiou - float(ppi.area)) > self.epsilon
                  and np.abs(ppiou) > self.epsilon
              ):
                  fail_flag = True
                  break
              elif np.abs(ppiou - float(ppi.area)) < self.epsilon:
                  polys_new.append(polygon)
                  ignore_tags_new.append(ignore_tag)
              else:
                  polys_keep.append(polygon)
                  ignore_tags_keep.append(ignore_tag)
  
          if fail_flag:
              continue
          else:
              break
  
      cropped = image[ymin:ymax, xmin:xmax, :]
      select_type = np.random.randint(3)
      if select_type == 0:
          img = np.ascontiguousarray(cropped[:, ::-1])
      elif select_type == 1:
          img = np.ascontiguousarray(cropped[::-1, :])
      else:
          img = np.ascontiguousarray(cropped[::-1, ::-1])
      image[ymin:ymax, xmin:xmax, :] = img
      results["img"] = image
  
      if len(polys_new) != 0:
          height, width, _ = cropped.shape
          if select_type == 0:
              for idx, polygon in enumerate(polys_new):
                  poly = polygon.reshape(-1, 2)
                  poly[:, 0] = width - poly[:, 0] + 2 * xmin
                  polys_new[idx] = poly
          elif select_type == 1:
              for idx, polygon in enumerate(polys_new):
                  poly = polygon.reshape(-1, 2)
                  poly[:, 1] = height - poly[:, 1] + 2 * ymin
                  polys_new[idx] = poly
          else:
              for idx, polygon in enumerate(polys_new):
                  poly = polygon.reshape(-1, 2)
                  poly[:, 0] = width - poly[:, 0] + 2 * xmin
                  poly[:, 1] = height - poly[:, 1] + 2 * ymin
                  polys_new[idx] = poly
          polygons = polys_keep + polys_new
          ignore_tags = ignore_tags_keep + ignore_tags_new
          results["polys"] = np.array(polygons)
          results["ignore_tags"] = ignore_tags
  
      return results
  
imports: import numpy
  from PIL import Image, ImageDraw
  import cv2
  from shapely.geometry import Polygon
  import math
  from ppocr.utils.poly_nms import poly_intersection
label_desc: Use image node_id 3 for calling the RandomCropFlip obj's underlying member method code with example usage: obj.random_crop_flip(results) and returns: results, results, results, results