class_docstr: Superclass for monocular dataloaders
  Parameters
  ----------
  data_path : string
      Path to dataset folder.
  filenames : string
      Path to split file.
      For example: '$(HOME)/.mxnet/datasets/kitti/splits/eigen_full/train_files.txt'
  height : int
      The height for input images.
  width : int
      The height for input images.
  frame_idxs : list
      The frames to load.
      an integer (e.g. 0, -1, or 1) representing the temporal step relative to 'index',
      or "s" for the opposite image in the stereo pair.
  num_scales : int
      The number of scales of the image relative to the full-size image.
  is_train : bool
      Whether use Data Augmentation. Default is: False
  img_ext : string
      The extension name of input image. Default is '.jpg'
class_docstr_tok: ["Superclass","for","monocular","dataloaders","Parameters","--","--","--","--","--","data_path",":","string","Path","to","dataset","folder",".","filenames",":","string","Path","to","split","file",".","For","example",":","'","$","(","HOME",")","\/.mxnet\/datasets\/kitti\/splits\/eigen_full\/train_files.txt'","height",":","int","The","height","for","input","images",".","width",":","int","The","height","for","input","images",".","frame_idxs",":","list","The","frames","to","load",".","an","integer","(","e.g",".","0",",","-1",",","or","1",")","representing","the","temporal","step","relative","to","'index","'",",","or","``","s","''","for","the","opposite","image","in","the","stereo","pair",".","num_scales",":","int","The","number","of","scales","of","the","image","relative","to","the","full-size","image",".","is_train",":","bool","Whether","use","Data","Augmentation",".","Default","is",":","False","img_ext",":","string","The","extension","name","of","input","image",".","Default","is","'.jpg","'"]
code: def check_depth(self):
      raise NotImplementedError
  
file_path: gluon-cv/gluoncv/data/kitti/mono_dataset.py
imports: import random
  import copy
  import numpy
  from PIL import Image
  import mxnet
  from mxnet.gluon.data import dataset
  from mxnet.gluon.data.vision import transforms
label_desc: Use image node_id 6 for calling the MonoDataset obj's underlying member method code with example usage: obj.check_depth() without return types