Comments (2)
RowNine
commented on August 17, 2024
And why in validation stage the loos computing function is called like this:‘loss = Gaussian2DLikelihood(outputs, x_seq[1:], PedsList_seq[1:], lookup_seq)’
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zhaone
commented on August 17, 2024
It also confused me...In addition, I can't understand why
Line 416 in 9fa3007
seq_target_frame_data (which I think is the label) is only one frame later than seq_source_frame_data (which I think is the train sample). And in train.py a cmd line arg called pred_length representing the prediction time only appears one time at the definition line and never been used later. I don't know without this para, how can this model work.Did I see the wrong brunch?
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Related Issues (20)
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