docstr: Return a color from a set of predefined colors. Contains 80 colors in total.
  
  Args
      label: The label to get the color for.
  
  Returns
      A list of three values representing a RGB color.
  
      If no color is defined for a certain label, the color green is returned and a warning is printed.
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code: def label_color(self, label):
      """Return a color from a set of predefined colors. Contains 80 colors in total.
  
      Args
          label: The label to get the color for.
  
      Returns
          A list of three values representing a RGB color.
  
          If no color is defined for a certain label, the color green is returned and a warning is printed.
      """
      if label < len(self.__colors):
          return self.__colors[label]
      else:
          return 0, 255, 0
  
imports: import os
  import re
  import numpy
  import json
  from imageai.Detection.Custom.voc import parse_voc_annotation
  from imageai.Detection.YOLO.yolov3 import yolov3_main, yolov3_train, dummy_loss
  from imageai.Detection.Custom.generator import BatchGenerator
  from imageai.Detection.Custom.utils.utils import normalize, evaluate, makedirs
  from tensorflow.keras.callbacks import ReduceLROnPlateau
  from tensorflow.keras.optimizers import Adam
  from imageai.Detection.Custom.callbacks import CustomModelCheckpoint
  from imageai.Detection.Custom.utils.multi_gpu_model import multi_gpu_model
  from imageai.Detection.Custom.gen_anchors import generateAnchors
  import tensorflow
  from tensorflow.keras.models import load_model
  from tensorflow.keras import Input
  from tensorflow.keras.callbacks import TensorBoard
  import tensorflow.keras.backend
  import cv2
label_desc: Use image node_id 9 for calling the CustomDetectionUtils obj's underlying member method code with example usage: obj.label_color(label) and returns: self, int,  int,  int