docstr: Convert annotation which can be polygons, uncompressed RLE, or RLE to binary mask.
  :return: binary mask (numpy 2D array)
docstr_tok: ["Convert","annotation","which","can","be","polygons",",","uncompressed","RLE",",","or","RLE","to","binary","mask",".",":","return",":","binary","mask","(","numpy","2D","array",")"]
code: def annToMask(self, ann):
      """
      Convert annotation which can be polygons, uncompressed RLE, or RLE to binary mask.
      :return: binary mask (numpy 2D array)
      """
      rle = self.annToRLE(ann)
      m = maskUtils.decode(rle)
      return m
  
imports: import json
  import time
  import matplotlib.pyplot
  from matplotlib.collections import PatchCollection
  from matplotlib.patches import Polygon
  import numpy
  import copy
  import itertools
  from .None import mask
  import os
  from collections import defaultdict
  import sys
label_desc: Use image node_id 15 for calling the COCO obj's underlying member method code with example usage: obj.annToMask(ann) and returns: m