Training Error with different datasets

[YihaoChan]

Training Error with different datasets

[quancore]

I have commented on just for testing purposes, you can uncomment without trouble.

[YihaoChan]

I have commented on just for testing purposes, you can uncomment without trouble.

Please forgive my not replying in time. And thanks for your patient reply!

[YihaoChan]

I have commented on just for testing purposes, you can uncomment without trouble.

Excuse me, after training, I encountered two more problems so I hope to ask for your help.

(1)When I finished implementing python3 ./vlstm_train.py, and the results are showed as follows. Then I began to implement python3 ./test.py, whose results are showed as follows. So why the mean error and final error reach so extremely small(10^(-9))? Is it caused by my implementation fault?
(2)After running test.py, I began to implement python3 ./visuailize.py, but it turned out to be the error as follows. My configuration environment are:
Ubuntu 18.04; pytorch 0.4.0, cuda 10, GTX 1650, matplotlib 3.1.2. I searched for so long but in vain, so could you please tell me how to tackle it and see correct visualization?

Thanks a lot in advance! Feel sincerely sorry to bother you!

[quancore]

1. It can be a logical error or something else. Please double-check the code blocks that implement equations in the original paper (in the readme).
2. install ffmpeg (matplotlib/matplotlib#8053).

[YihaoChan]

1. It can be a logical error or something else. Please double-check the code blocks that implement equations in the original paper (in the readme).

2. install ffmpeg ([matplotlib/matplotlib#8053](https://github.com/matplotlib/matplotlib/issues/8053)).

Please forgive my not replying in time first, cause there was something wrong with my Wi-Fi. Thanks for your suggestion, and I successfully ran visualization.py with installing ffmpeg. HOWEVER, I still could not successfully see the correct results on test.py, which means the ADE and FDE always remained the same, no matter what methods I tried. That is to say, after running train.py, olstm_train.py or vlstm_train.py, I obtained three completely SAME ADEs and FDEs with running test.py, whose errors all reached extremely small... I believe there might be something wrong with the code in test.py, but I haven't find it...
Anyway, thank you very much! And could you please tell me that could you get correct results under your own implementations? Thanks in advance!

[zhanghuishun]

Hi YihaoChan, I am also working on the social lstm project, can we communicate by email? My email is [email protected]

[lk-greenbird]

Hi YihaoChan, I am working on the social lstm project recently. But a TypeError occurs when I run the train.py with python3.5 and pytorch0.1.12 on ubuntu16.04. I want to konw weather the problem dues to the verson of pytorch. Can you tell me your environment which can excute the project successfully.Thank you! My email is [email protected]

[YihaoChan]

Hi YihaoChan, I am working on the social lstm project recently. But a TypeError occurs when I run the train.py with python3.5 and pytorch0.1.12 on ubuntu16.04. I want to konw weather the problem dues to the verson of pytorch. Can you tell me your environment which can excute the project successfully.Thank you! My email is [email protected]

I've sent a reply to your qq mail~

[yukiofyume]

@YihaoChan Hello, I am also trying to learn this project recently. Maybe due to my lack of understanding. I can run through the original project data set. When I used my own data to make a dataset similar to the original project, I encountered some problems. I don't know how to solve it, can I talk to you.Thank you！ My email is [email protected]