Comments (3)
Thanks for your interest in our work.
The runtime of our model is test on a NVIDIA 2080ti GPU. For nuScenes models, it is based on the original CenterPoint codebase. The implementation of SW-LK Conv is based on our improved version of spconv library for GPU acceleration. It will also be released.
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When will the code be released? Thanks.
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Thanks for your interest. I have released the core spatial sparse conv in this repo spconv-plus. The overall training code for this paper will be released latter.
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Related Issues (15)
- The implementation about depth-wise conv HOT 9
- stride_valid assert faild. non-contiguous stride can't handled HOT 5
- RuntimeError: /tmp/pip-build-env-oq41cytq/overlay/lib/python3.8/site-packages/cumm/include/tensorview/tensor.h(770) stride_valid assert faild. non-contiguous stride can't handled. HOT 6
- about the SW-LK Conv HOT 1
- How to prepare the ScanNet V2 data
- About SpatialGroupconv and SpatialGroupconvV2
- The SFD visualization diagram
- When will the Code come?😂 HOT 1
- A question about reformulating large kernels into small ones.
- Will you release the source code for largeKernel3D for Minkowski Engine?
- Add integration with LargeKernel3D to OpenPCDet HOT 13
- 'trunc_normal_' import error HOT 2
- About training time HOT 1
- About detection training gpu num HOT 7
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