Why is the decoder_max_num_input_points set to 6

[Doctor-Damu]

Thanks for the author's effort, this is a very meaningful work, and it has been a great help to me.
I found that there is a parameter decoder_max_num_input_points available in the EfficientSAM, which specifies the maximum number of points accepted by the model. I would like to know why 6 is set here, and if we want to change this parameter, is there a maximum value?
Moreover, the current model does not seem to support negative sample points and mask input. Can you give more details about EfficientSAM's training?