Yes, here is an example of tranforming the mask data into train ID,

  
      github.com
  
  
    gujingxiao/Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition/blob/master/utils/process_labels.py 80
"""
Author: Jingxiao Gu
Baidu Account: Seigato
Description: Encode & Decode Labels for Lane Segmentation Competition
NOTE: For 8 classes
"""
import numpy as np

def encode_labels(color_mask):
    encode_mask = np.zeros((color_mask.shape[0], color_mask.shape[1]))
    # 0
    encode_mask[color_mask == 0] = 0
    encode_mask[color_mask == 249] = 0
    encode_mask[color_mask == 255] = 0
    # 1
    encode_mask[color_mask == 200] = 1
    encode_mask[color_mask == 204] = 1
    encode_mask[color_mask == 213] = 0
    encode_mask[color_mask == 209] = 1
    encode_mask[color_mask == 206] = 0


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