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Question about the result of eval.py #6

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chuinixiongkou opened this issue Oct 25, 2023 · 0 comments
Open

Question about the result of eval.py #6

chuinixiongkou opened this issue Oct 25, 2023 · 0 comments

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@chuinixiongkou
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chuinixiongkou commented Oct 25, 2023

Thank you for the great work you do, I'm wondering which of my steps I'm excepting by mistake? Would like to ask for your advice. I'd like to ask why I'm getting such a close difference between my tests with the trajnet and sdd datasets, and I'd like to ask what is the meaning of pre-trained models such as 1061.tar, 2943.tar, etc., and I'd also like to ask what is the difference between train.py and train1.py?

python eval.py --dataset "trajnet"
Epoch no: 0 | temp 0.00065 | ade 8.781 | fde 14.304
Epoch no: 1 | temp 0.00065 | ade 8.773 | fde 14.310
Epoch no: 2 | temp 0.00065 | ade 8.775 | fde 14.316
Epoch no: 3 | temp 0.00065 | ade 8.773 | fde 14.315
Epoch no: 4 | temp 0.00065 | ade 8.774 | fde 14.326
Epoch no: 5 | temp 0.00065 | ade 8.775 | fde 14.330
Epoch no: 6 | temp 0.00065 | ade 8.773 | fde 14.325
Epoch no: 7 | temp 0.00065 | ade 8.771 | fde 14.321
Epoch no: 8 | temp 0.00065 | ade 8.772 | fde 14.325
Epoch no: 9 | temp 0.00065 | ade 8.773 | fde 14.323

python eval.py --dataset "sdd"
Epoch no: 0 | temp 0.00065 | ade 8.777 | fde 14.334
Epoch no: 1 | temp 0.00065 | ade 8.775 | fde 14.330
Epoch no: 2 | temp 0.00065 | ade 8.785 | fde 14.346
Epoch no: 3 | temp 0.00065 | ade 8.785 | fde 14.340
Epoch no: 4 | temp 0.00065 | ade 8.785 | fde 14.341
Epoch no: 5 | temp 0.00065 | ade 8.784 | fde 14.338
Epoch no: 6 | temp 0.00065 | ade 8.781 | fde 14.335
Epoch no: 7 | temp 0.00065 | ade 8.781 | fde 14.336
Epoch no: 8 | temp 0.00065 | ade 8.780 | fde 14.335
Epoch no: 9 | temp 0.00065 | ade 8.780 | fde 14.336

sorry for my question! I have fixed the problem.

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