class_docstr: BuilderConfig for DiabeticRetinopathyDetection.
docstr: BuilderConfig for DiabeticRetinopathyDetection.
  
  Args:
    target_pixels: If given, rescale the images so that the total number of
      pixels is roughly this value.
    **kwargs: keyword arguments forward to super.
docstr_tok: ["BuilderConfig","for","DiabeticRetinopathyDetection",".","Args",":","target_pixels",":","If","given",",","rescale","the","images","so","that","the","total","number","of","pixels","is","roughly","this","value",".","*","*","kwargs",":","keyword","arguments","forward","to","super","."]
code: def __init__(self, target_pixels=None, **kwargs):
      """BuilderConfig for DiabeticRetinopathyDetection.
  
      Args:
        target_pixels: If given, rescale the images so that the total number of
          pixels is roughly this value.
        **kwargs: keyword arguments forward to super.
      """
      super(DiabeticRetinopathyDetectionConfig, self).__init__(
          version=tfds.core.Version("3.0.0"),
          release_notes={
              "3.0.0": "New split API (https://tensorflow.org/datasets/splits)",
          },
          **kwargs,
      )
      self._target_pixels = target_pixels
  
imports: import csv
  import io
  import os
  from absl import logging
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new DiabeticRetinopathyDetectionConfig object from inherited base classes: tfds.core with example: obj = DiabeticRetinopathyDetectionConfig(target_pixels)