AnyNet
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mileyan
Pretrained model of AnyNet
Thanks for releasing the code!
Could you please provide the pre-trained model of AnyNet in SceneFlow dataset ? Thank you a lot !
@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,
@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+?
Now our code supports pytorch 1.0. Please check it.
Hi, Thanks for sharing the pre-trained checkpoint on SceneFlow, can you specify the metric you got? Such as EPE, 3PX and so on. I want to make sure my reimplementation approaching your result. Thanks very much.
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. In SceneFlow, yes, we do end point error.
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.