class_docstr: BuilderConfig for OpenImagesV4.
class_docstr_tok: ["BuilderConfig","for","OpenImagesV4","."]
docstr: BuilderConfig for OpenImagesV4.
  
  Args:
    target_pixels: If given, rescale the images so that the number of pixels
      is roughly this value.
    **kwargs: keyword arguments forward to super.
docstr_tok: ["BuilderConfig","for","OpenImagesV4",".","Args",":","target_pixels",":","If","given",",","rescale","the","images","so","that","the","number","of","pixels","is","roughly","this","value",".","*","*","kwargs",":","keyword","arguments","forward","to","super","."]
code: def __init__(self, target_pixels=None, **kwargs):
      """BuilderConfig for OpenImagesV4.
  
      Args:
        target_pixels: If given, rescale the images so that the number of pixels
          is roughly this value.
        **kwargs: keyword arguments forward to super.
      """
      kwargs["version"] = tfds.core.Version("2.0.0")
      kwargs["release_notes"] = {
          "2.0.0": "New split API (https://tensorflow.org/datasets/splits)",
      }
      super(OpenImagesV4Config, self).__init__(**kwargs)
      self._target_pixels = target_pixels
  
imports: from __future__ import annotations
  import collections
  import csv
  import functools
  import io
  import os
  from typing import List
  from absl import logging
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new OpenImagesV4Config object from inherited base classes: tfds.core with example: obj = OpenImagesV4Config(target_pixels)