text: Title: How to limit the maximum number of masks present in the final prediction.
  Body: Hi, I am trying to track an object through a set of frames and whilst the model is mostly performing well, on some frames it is predicting that the object is in two different places. I only want 1 mask on each frame.
  
  In every frame there is only one object, so a logical solution to this seems to be to limit the maximum number of masks that can be shown to 1 (the mask with the highest confidence). 
  
  Alternatively, set some parameter so that only masks with a confidence of X or higher are shown. I have tried changing some of the parameters of config.py but with no success.
  
  Can anyone point me in the right direction?