code: def visualize_SMPL(verts=None, joints=None, line=None):
      fig = plt.figure()
      ax = fig.add_subplot(projection="3d")
      if verts is not None:
          ax.scatter(*verts.T, alpha=0.01)
      if joints is not None:
          for i, j in enumerate(joints):
              cc = np.random.rand(
                  3,
              )
              ax.text(*j.T, str(i), color=cc)
              ax.scatter(*j.T, c=cc)
          ax.legend()
      if line is not None:
          ax.plot3D(*line.T)
      set_axes_equal(ax)
      plt.show()
  
imports: import os
  import random
  import numpy
  import open3d
  import torch
  import pytorch3d
  import matplotlib.pyplot
  import matplotlib
  from scipy import ndimage
  from tqdm import tqdm
  from models.smpl import SMPL, vertices2joints
label_desc: Use image node_id 10 for calling a global function with example usage: visualize_SMPL(verts, joints, line) without return types