Comments (9)
Thanks for your interest in our work.
I'm sorry, I'm currently rushing the CVPR deadline.
Because the code has undergone a major refactor with many changes, I'm considering redeploying the new code after CVPR. If you're in a hurry, I can privately send you an original version of the UniTR backbone code that converts from PyTorch to ONNX and TRT engine as a reference, but there will definitely be many inconsistencies with the new version of the code.
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For more details, you can refer the deployment of DSVT. They are very similar.
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Thank you for your reply.
It is of great help if you can provide me with the reference code. Wish I could help with your progress of the conversion consistent with the new version of the code.
My email address is [email protected]
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Thank you for your reply. It is of great help if you can provide me with the reference code. Wish I could help with your progress of the conversion consistent with the new version of the code. My email address is [email protected]
Have sent it.
from unitr.
For more details, you can refer the deployment of DSVT. They are very similar.
Thank you very much.
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Hi Haiyang,
Thanks for an awesome paper. I would be glad if you can send a copy to me as well. Would really appreciate it. Will update you on how it goes and if I can contribute :) [email protected]
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Have sent it. Thanks for your future contributions.
Wish you all the best. :)
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Yeah, have sent it. :)
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hi
Thanks for an awesome paper. I would be glad if you can send a copy to me as well。[email protected]
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Related Issues (20)
- how to calculate the nearest neighbor between pseudo 3d grid points and image token? HOT 3
- Request permission for checkpoint unitr_pretrain. HOT 19
- I meet a cache-related bug HOT 10
- Intuitions on sparse_space and voxel_size in FUSE_BACKBONE HOT 7
- whether tried Camera only sensor by any chance? HOT 5
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- TRT inference HOT 3
- deploy model HOT 1
- Application of the model with images and radar HOT 1
- deploy
- TRT HOT 3
- Hi Haiyang, HOT 5
- How do you test the speed of UniTR? HOT 2
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