I am new to TF lite object detection and have gone through the tutorial:
  

      github.com
  

  
    tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/tutorials/model_maker_object_detection.ipynb


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and I think I understand it reasonably well. However, I notice that the bounding box is somehow normalised.
So, when I have my own dataset, each row looks like so (only 1 class:
``
TRAIN,/path/to/data//images/0.jpg,ONE_CLASS_CAT,270.5,115.10000000000036,787.3000000000011,483.3000000000011,

How does one normalise these coordinates values for tflite input?

Thank you!