code: def flip_heatmap(heatmap, joint_pairs, shift=False):
      """Flip pose heatmap according to joint pairs.
  
      Parameters
      ----------
      heatmap : numpy.ndarray
          Heatmap of joints.
      joint_pairs : list
          List of joint pairs
      shift : bool
          Whether to shift the output
  
      Returns
      -------
      numpy.ndarray
          Flipped heatmap
  
      """
      assert (
          heatmap.ndim == 4
      ), "heatmap should have shape (batch_size, num_joints, height, width)"
      out = heatmap[:, :, :, ::-1]
  
      for pair in joint_pairs:
          tmp = out[:, pair[0], :, :].copy()
          out[:, pair[0], :, :] = out[:, pair[1], :, :]
          out[:, pair[1], :, :] = tmp
  
      if shift:
          out[:, :, :, 1:] = out[:, :, :, 0:-1]
      return out
  
imports: from __future__ import absolute_import
  from __future__ import division
  import math
  import random
  import numpy
  import mxnet
  from mxnet import nd, image
  from mxnet.gluon.data.vision import transforms
  from ...utils.filesystem import try_import_cv2
label_desc: Use image node_id 1 for calling a global function with example usage: flip_heatmap(heatmap, joint_pairs, shift) and returns: out