code: def read_actors(opt):
      nets_list, verts_list, Ts_list = [], [], []
      for actor in opt.actors:
          net, raw_verts, Ts = read_actor(opt, actor)
          nets_list.append(net)
          verts_list.append(raw_verts)
          Ts_list.append(Ts)
      verts_list = np.array(verts_list)
      Ts_list = np.array(Ts_list)
      return nets_list, verts_list, Ts_list
  
file_path: ml-neuman/render_gathering.py
imports: import os
  import argparse
  import copy
  import joblib
  import imageio
  import torch
  import numpy
  from geometry import transformations
  from models import human_nerf
  from utils import render_utils, utils, ray_utils
  from data_io import neuman_helper
  from options import options
  from models.smpl import SMPL
label_desc: Use image node_id 5 for calling a global function with example usage: read_actors(opt) and returns: nets_list,  verts_list,  Ts_list