code: def main(argv):
      if len(argv) > 1:
          raise app.UsageError("Too many command-line arguments.")
      if not FLAGS.input_ply:
          raise IOError("--input_ply must be specified.")
      if not FLAGS.output_ply:
          FLAGS.output_ply = FLAGS.input_ply.replace(
              ".ply", ".reconstruct.ply"
          )
  
      # load point cloud from ply file
      v, n = pu.read_point_ply(FLAGS.input_ply)
  
      # check if part size is too large
      min_bb = np.min(np.max(v, axis=0) - np.min(v, axis=0))
      if FLAGS.part_size > 0.25 * min_bb:
          warnings.warn(
              "WARNING: part_size seems too large. Recommend using a part_size < "
              "{:.2f} for this shape.".format(0.25 * min_bb),
              UserWarning,
          )
  
      surface_points = np.concatenate([v, n], axis=1)
      near_surface_samples = rec.get_in_out_from_ray(
          surface_points, sample_factor=10, std=0.01
      )
  
      xmin = np.min(surface_points[:, :3], 0)
      xmax = np.max(surface_points[:, :3], 0)
  
      # add some extra slack to xmin and xmax
      xmin -= FLAGS.part_size
      xmax += FLAGS.part_size
  
      if FLAGS.res_per_part == 0:
          res_per_part = int(64 * FLAGS.part_size)
      else:
          res_per_part = FLAGS.res_per_part
      npts = min(near_surface_samples.shape[0], FLAGS.npoints) - 1
  
      print("Performing latent grid optimization...")
      v, f, _, _ = rec.encode_decoder_one_scene(
          near_surface_samples,
          FLAGS.ckpt_dir,
          FLAGS.part_size,
          overlap=True,
          indep_pt_loss=True,
          init_std=FLAGS.init_std,
          xmin=xmin,
          xmax=xmax,
          res_per_part=res_per_part,
          npts=npts,
          steps=FLAGS.steps,
      )
  
      out_dir = os.path.dirname(FLAGS.output_ply)
      if out_dir and not gfile.exists(out_dir):
          gfile.makedirs(out_dir)
      mesh = trimesh.Trimesh(v, f)
  
      if FLAGS.postprocess:
          print("Postprocessing generated mesh...")
          mesh = postprocess.remove_backface(mesh, surface_points)
  
      print("Writing reconstructed mesh to {}".format(FLAGS.output_ply))
      with gfile.GFile(FLAGS.output_ply, "wb") as fh:
          mesh.export(fh, "ply")
  
file_path: graphics/tensorflow_graphics/projects/local_implicit_grid/reconstruct_geometry.py
imports: import os
  import warnings
  from absl import app
  from absl import flags
  import numpy
  from tensorflow.compat.v1.io import gfile
  from tensorflow_graphics.projects.local_implicit_grid.core import point_utils
  from tensorflow_graphics.projects.local_implicit_grid.core import postprocess
  from tensorflow_graphics.projects.local_implicit_grid.core import reconstruction
  import trimesh
label_desc: Use image node_id 1 for calling a global function with example usage: main(argv) without return types