code: def quokka_segmentation_map(size=None, extract=None):
      
      # TODO get rid of this deferred import
      from imgaug.augmentables.segmaps import SegmentationMapOnImage
  
      with open(QUOKKA_ANNOTATIONS_FP, "r") as f:
          json_dict = json.load(f)
  
      xx = []
      yy = []
      for kp_dict in json_dict["polygons"][0]["keypoints"]:
          x = kp_dict["x"]
          y = kp_dict["y"]
          xx.append(x)
          yy.append(y)
  
      img_seg = np.zeros((643, 960, 1), dtype=np.float32)
      rr, cc = skimage.draw.polygon(np.array(yy), np.array(xx), shape=img_seg.shape)
      img_seg[rr, cc] = 1.0
  
      if extract is not None:
          bb = _quokka_normalize_extract(extract)
          img_seg = bb.extract_from_image(img_seg)
  
      segmap = SegmentationMapOnImage(img_seg, shape=img_seg.shape[0:2] + (3,))
  
      if size is not None:
          shape_resized = _compute_resized_shape(img_seg.shape, size)
          segmap = segmap.resize(shape_resized[0:2])
          segmap.shape = tuple(shape_resized[0:2]) + (3,)
  
      return segmap
docs: Returns a segmentation map for the standard example quokka image.
  
      Parameters
      ----------
      size : None or float or tuple of int, optional
          See :func:`imgaug.quokka`.
  
      extract : None or 'square' or tuple of number or imgaug.BoundingBox or imgaug.BoundingBoxesOnImage
          See :func:`imgaug.quokka`.
  
      Returns
      -------
      result : imgaug.SegmentationMapOnImage
          Segmentation map object.