code: def render_set(
      model_path,
      name,
      iteration,
      views,
      gaussians,
      pipeline,
      background,
  ):
      render_path = os.path.join(
          model_path, name, "ours_{}".format(iteration), "renders"
      )
      gts_path = os.path.join(
          model_path, name, "ours_{}".format(iteration), "gt"
      )
  
      makedirs(render_path, exist_ok=True)
      makedirs(gts_path, exist_ok=True)
  
      for idx, view in enumerate(
          tqdm(views, desc="Rendering progress")
      ):
          rendering = render(view, gaussians, pipeline, background)[
              "render"
          ]
          gt = view.original_image[0:3, :, :]
          torchvision.utils.save_image(
              rendering,
              os.path.join(render_path, "{0:05d}".format(idx) + ".png"),
          )
          torchvision.utils.save_image(
              gt, os.path.join(gts_path, "{0:05d}".format(idx) + ".png")
          )
  
file_path: gaussian-splatting/render.py
imports: import torch
  from scene import Scene
  import os
  from tqdm import tqdm
  from os import makedirs
  from gaussian_renderer import render
  import torchvision
  from utils.general_utils import safe_state
  from argparse import ArgumentParser
  from arguments import ModelParams, PipelineParams, get_combined_args
  from gaussian_renderer import GaussianModel
label_desc: Use image node_id 1 for calling a global function with example usage: render_set(model_path, name, iteration, views, gaussians, pipeline, background) without return types