code: def optimize_pose_with_nerf(opt, cap, net, iters=1000, save_every=10):
      # TODO: optimize the pose with the trained NeRF
      pass
  
file_path: ml-neuman/render_test_views.py
imports: import os
  import argparse
  import imageio
  import torch
  import numpy
  import skimage
  from skimage.metrics import structural_similarity
  import lpips
  from models import human_nerf
  from utils import render_utils, utils
  from data_io import neuman_helper
  from options import options
label_desc: Use image node_id 2 for calling a global function with example usage: optimize_pose_with_nerf(opt, cap, net, iters, save_every) without return types