code: def __init__(self, conf, id, datadir):
      super().__init__()
      self.feature_vector_size = conf.get_int("feature_vector_size")
      self.implicit_network = ImplicitNetwork(
          self.feature_vector_size,
          **conf.get_config("implicit_network"),
      )
      # self.rendering_network = RenderingNetwork(self.feature_vector_size, **conf.get_config('rendering_network'))
  
      self.diffuse_network = DiffuseNetwork(
          **conf.get_config("diffuse_network")
      )
      self.specular_network = SpecularNetwork(
          **conf.get_config("specular_network")
      )
      self.albedo_network = AlbedoNetwork(
          self.feature_vector_size, **conf.get_config("albedo_network")
      )
  
      self.ray_tracer = RayTracing(**conf.get_config("ray_tracer"))
      self.sample_network = SampleNetwork()
      self.object_bounding_sphere = conf.get_float(
          "ray_tracer.object_bounding_sphere"
      )
      self.mesh = trimesh.load_mesh(
          "{0}/mesh.obj".format(
              os.path.join("../data", datadir, "scan{0}".format(id))
          ),
          process=False,
          use_embree=True,
      )
      self.faces = self.mesh.faces
      self.vertex_normals = np.array(self.mesh.vertex_normals)
      self.vertices = np.array(self.mesh.vertices)
      print("Loaded Mesh")
  
imports: import torch
  import torch.nn
  import numpy
  import trimesh
  import os
  from utils import rend_util
  from model.embedder import *
  from model.ray_tracing import RayTracing
  from model.sample_network import SampleNetwork
label_desc: Use image node_id 1 to create a new IFNetwork object from inherited base classes: nn with example: obj = IFNetwork(conf, id, datadir)