class_docstr: Camera for rendering objects with calibration matrices from the R2N2 dataset
  (which uses Blender for rendering the views for each model).
code: def in_ndc(self):
      return True
  
imports: import math
  from typing import Dict, List
  import numpy
  import torch
  from pytorch3d.common.datatypes import Device
  from pytorch3d.datasets.utils import collate_batched_meshes
  from pytorch3d.ops import cubify
  from pytorch3d.renderer import HardPhongShader, MeshRasterizer, MeshRenderer, PointLights, RasterizationSettings, TexturesVertex
  from pytorch3d.renderer.cameras import CamerasBase
  from pytorch3d.transforms import Transform3d
label_desc: Use image node_id 4 for calling the BlenderCamera obj's underlying member method code with example usage: obj.in_ndc() and returns: True