class_docstr: ShapeNetCore V2.
  
  Example usage of the dataset:
  
  import tensorflow_datasets as tfds
  from tensorflow_graphics.datasets.shapenet import Shapenet
  
  data_set = Shapenet.load(
      split='train',
      download_and_prepare_kwargs={
          'download_config':
              tfds.download.DownloadConfig(manual_dir='~/shapenet_base')
      })
  
  for example in data_set.take(1):
    trimesh, label, model_id = example['trimesh'], example['label'],
                               example['model_id']
class_docstr_tok: ["ShapeNetCore","V2",".","Example","usage","of","the","dataset",":","import","tensorflow_datasets","as","tfds","from","tensorflow_graphics.datasets.shapenet","import","Shapenet","data_set","=","Shapenet.load","(","split='train","'",",","download_and_prepare_kwargs=","{","'download_config","'",":","tfds.download.DownloadConfig","(","manual_dir='~\/shapenet_base","'",")","}",")","for","example","in","data_set.take","(","1",")",":","trimesh",",","label",",","model_id","=","example","[","'trimesh","'","]",",","example","[","'label","'","]",",","example","[","'model_id","'","]"]
code: def load(*args, **kwargs):
      return tfds.load("shapenet", *args, **kwargs)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import csv
  import json
  import os
  import textwrap
  import tensorflow.compat.v2
  import tensorflow_datasets
  from tensorflow_datasets import features
  from tensorflow_graphics.datasets import features
label_desc: Use image node_id 1 for calling the Shapenet obj's underlying member method code with example usage: obj.load() and returns: tfds