SGNet.pytorch
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Why to diff bbox at t from future bbox's of prediction length in "get_target" function of file "jaad_data_layer.py"
Your this piece of code
`target[i,:,:] = np.asarray(session[target_start:target_start+predict_length,:] -
session[target_start-1:target_start,:])`
inside the function get_target
of file jaad_data_layer.py
I can understand that you are subtracting the bbox
at current time t from the all the future bbox
's which fall inside the prediction length window.
But why?
Why can't we just use the future bbox
's of prediction window as it is?