code: def visualize_SMPL_w_cameras(
      verts_list=None, caps=None, rays=None, samples=None, size=1
  ):
      human_pcds = []
      cmap = matplotlib.cm.get_cmap("Spectral")
      if verts_list:
          for i, verts in enumerate(verts_list):
              temp = o3d.geometry.PointCloud()
              temp.points = o3d.utility.Vector3dVector(verts)
              rgba = cmap(i / max(1, (len(verts_list) - 1)))
              color = np.zeros_like(verts[:, :3])
              color[:, 0] = rgba[0]
              color[:, 1] = rgba[1]
              color[:, 2] = rgba[2]
              temp.colors = o3d.utility.Vector3dVector(color)
              human_pcds.append(temp)
      other_pcds = []
      if samples:
          for s in samples:
              temp = o3d.geometry.PointCloud()
              temp.points = o3d.utility.Vector3dVector(s[:, :3])
              if s.shape[1] == 6:
                  temp.colors = o3d.utility.Vector3dVector(
                      s[:, 3:] / 255
                  )
              other_pcds.append(temp)
      cam_frames = []
      if caps:
          for i, cap in enumerate(caps):
              pts = np.array(cap.camera_poly(size))
              lns = [
                  [0, 1],
                  [0, 2],
                  [0, 3],
                  [0, 4],
                  [1, 2],
                  [2, 3],
                  [3, 4],
                  [4, 1],
              ]
              line_set = o3d.geometry.LineSet()
              line_set.points = o3d.utility.Vector3dVector(pts)
              line_set.lines = o3d.utility.Vector2iVector(lns)
              cam_frames.append(line_set)
      o3d.visualization.draw_geometries(
          [*other_pcds, *human_pcds, *cam_frames]
      )
  
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 11 for calling a global function with example usage: visualize_SMPL_w_cameras(verts_list, caps, rays, samples, size) without return types