Using vovnet99 as backbone

[ChenccLOL]

Thanks for your great work！

When I try to train maptrv2 with vovnet99 as backbone,the grad_norm is always nan.
Reducing the learning rate and applying gradient clipping are both ineffective.
Can you provide the config file for training using vovnet99 as the backbone? If possible, I would greatly appreciate it.

[Rambo Lan]

I met exactly the same problem.

[Rambo Lan]

Thanks for your great work！

When I try to train maptrv2 with vovnet99 as backbone,the grad_norm is always nan. Reducing the learning rate and applying gradient clipping are both ineffective. Can you provide the config file for training using vovnet99 as the backbone? If possible, I would greatly appreciate it.

Do you finally got the solution to this problem?

[ChenccLOL]

Thanks for your great work！
When I try to train maptrv2 with vovnet99 as backbone,the grad_norm is always nan. Reducing the learning rate and applying gradient clipping are both ineffective. Can you provide the config file for training using vovnet99 as the backbone? If possible, I would greatly appreciate it.

Do you finally got the solution to this problem?

Not yet, how about you？

[David Yang]

@ChenccLOL @brianlan Did you try using pretrained weights from https://github.com/TRI-ML/dd3d ?

GeMap provides config file for using V2-99：https://github.com/cnzzx/GeMap

[Rambo Lan]

@ChenccLOL @brianlan Did you try using pretrained weights from https://github.com/TRI-ML/dd3d ?

GeMap provides config file for using V2-99：https://github.com/cnzzx/GeMap

Oh, that's good to know. Thanks for the information, buddy.

[David Yang]

@ChenccLOL @brianlan Did you try using pretrained weights from https://github.com/TRI-ML/dd3d ?
GeMap provides config file for using V2-99：https://github.com/cnzzx/GeMap

Oh, that's good to know. Thanks for the information, buddy.

I managed to load pretrain weights correctly with config file from GeMap and pretrained weights from dd3d, so i guess you guys could also give a try. Good luck.