class_docstr: Helper class that provides TensorFlow image coding utilities.
code: def __init__(self):
      # Create a single Session to run all image coding calls.
      self._sess = tf.Session()
  
      # Initializes function that converts PNG to JPEG data.
      self._png_data = tf.placeholder(dtype=tf.string)
      image = tf.image.decode_png(self._png_data, channels=3)
      self._png_to_jpeg = tf.image.encode_jpeg(
          image, format="rgb", quality=100
      )
  
      # Initializes function that converts CMYK JPEG data to RGB JPEG data.
      self._cmyk_data = tf.placeholder(dtype=tf.string)
      image = tf.image.decode_jpeg(self._cmyk_data, channels=0)
      self._cmyk_to_rgb = tf.image.encode_jpeg(
          image, format="rgb", quality=100
      )
  
      # Initializes function that decodes RGB JPEG data.
      self._decode_jpeg_data = tf.placeholder(dtype=tf.string)
      self._decode_jpeg = tf.image.decode_jpeg(
          self._decode_jpeg_data, channels=3
      )
  
imports: from datetime import datetime
  import math
  import os
  import random
  from typing import Iterable, List, Mapping, Union, Tuple
  import sys
  import threading
  import numpy
  import tensorflow
label_desc: Use image node_id 1 to create a new ImageCoder object from inherited base classes: object with example: obj = ImageCoder()