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Pretrained model of AnyNet #8
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@mileyan Hi, will it be released? |
Watching! |
Has released the pretrained model. Please check it. Thanks. |
@mileyan It looks like the pre-trained model is trained with spn, so one would have to compile the spn module which with pytorch 1.0+ is not possible (without some re-write to C++ extensions). Any plans to release a pre-trained model without spn? Or do you know anyone who has gotten spn to work with pytorch 1.0+? |
Hi,
Now our code supports pytorch 1.0. Please check it. |
Hi, |
Hi, we evaluate the 3-pixel error on KITTI dataset. |
Hi @mileyan, How about metric on SceneFlow? |
Hi, we evaluate 3-pixel error on KITTI set. We randomly split the kitti training set 4 times and the ratio of training vs validation is 4:1. The result in the paper is the mean of results. |
Hi @mileyan, thanks for detailing. As for SceneFlow, I have trained for 10 epoch and got EPE=3.377. Is that approaching your result? Btw, I have also extended the training schedule for 20 epoch with a constant learning rate and got EPE=3.214. Can you give the specific EPE you got, thanks a lot. |
Yes, the result is close to 3.377. It is very interesting to see that training more epochs can get better performance. |
Well, thanks a lot. |
Thanks for releasing the code!
Could you please provide the pre-trained model of AnyNet in SceneFlow dataset ? Thank you a lot !
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