class_docstr: KITTI Raw Dataset.
  Parameters
  ----------
  data_path : string
      Path to KITTI RAW dataset folder. Default is '$(HOME)/.mxnet/datasets/kitti/kitti_data'
  
  Examples
  --------
  >>> from gluoncv.data.kitti.kitti_utils import dict_batchify_fn, readlines
  >>> train_filenames = os.path.join(
  >>>     os.path.expanduser("~"), '/.mxnet/datasets/kitti/splits/eigen_full/train_files.txt')
  >>> train_filenames = readlines(train_filenames)
  >>> # Create Dataset
  >>> trainset = gluoncv.data.KITTIRAWDataset(
  >>>         filenames=train_filenames, height=192, width=640,
  >>>         frame_idxs=[0], num_scales=4, is_train=True, img_ext='.png')
  >>> # Create Training Loader
  >>> train_data = gluon.data.DataLoader(
  >>>     trainset, batch_size=12, shuffle=True,
  >>>     batchify_fn=dict_batchify_fn, num_workers=12,
  >>>     pin_memory=True, last_batch='discard')
class_docstr_tok: ["KITTI","Raw","Dataset",".","Parameters","--","--","--","--","--","data_path",":","string","Path","to","KITTI","RAW","dataset","folder",".","Default","is","'","$","(","HOME",")","\/.mxnet\/datasets\/kitti\/kitti_data'","Examples","--","--","--","--",">",">",">","from","gluoncv.data.kitti.kitti_utils","import","dict_batchify_fn",",","readlines",">",">",">","train_filenames","=","os.path.join","(",">",">",">","os.path.expanduser","(","``","~","''",")",",","'\/.mxnet\/datasets\/kitti\/splits\/eigen_full\/train_files.txt","'",")",">",">",">","train_filenames","=","readlines","(","train_filenames",")",">",">",">","#","Create","Dataset",">",">",">","trainset","=","gluoncv.data.KITTIRAWDataset","(",">",">",">","filenames=train_filenames",",","height=192",",","width=640",",",">",">",">","frame_idxs=","[","0","]",",","num_scales=4",",","is_train=True",",","img_ext='.png","'",")",">",">",">","#","Create","Training","Loader",">",">",">","train_data","=","gluon.data.DataLoader","(",">",">",">","trainset",",","batch_size=12",",","shuffle=True",",",">",">",">","batchify_fn=dict_batchify_fn",",","num_workers=12",",",">",">",">","pin_memory=True",",","last_batch='discard","'",")"]
code: def __init__(
      self,
      data_path=os.path.join(
          os.path.expanduser("~"), ".mxnet/datasets/kitti/kitti_data"
      ),
      *args,
      **kwargs,
  ):
      super(KITTIRAWDataset, self).__init__(data_path, *args, **kwargs)
  
imports: from __future__ import absolute_import, division, print_function
  import os
  import numpy
  import PIL.Image
  from ...utils.filesystem import try_import_skimage
  from .kitti_utils import generate_depth_map
  from .mono_dataset import MonoDataset
label_desc: Use image node_id 1 to create a new KITTIRAWDataset object from inherited base classes: KITTIDataset with example: obj = KITTIRAWDataset(data_path)