about tf_records_generation.py for sentinel-hub example

Hello I am looking at the **Preparing Data with Sentinel Hub** example, since that label-maker also support to prepare the mask annotation of buildings as shown in this examples, do you have some suggestion how to conver the images and lables into tensorflow record for fine-tuning the pre-trained model ?

I have seen some similar python script such as models/research/object_detection/dataset_tools/create_pet_tf_record.py, while to modify this based on label-maker results might be missing :)