Comments (2)
Hi @stanleyshly,
There is one problem on this way: dependencies of MinkowskiEngine
and RotatedIoU
. Both of them require CUDA builds and MinkowskiEngine
builds for several minutes during installation. I'm not sure if authors of mmdetection3d
will welcome these dependencies.
Probably, the convolutional backbone and neck can be rewritten with spconv
, supported in mmdetection3d
but I'm not ready to analyse it and probably it would be slower than with MinkowskiEngine
.
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Thank you your your prompt response, and I do apologize for the slow reply. Thank you for the information, it makes sense, I'll stick with this repo for now.
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Related Issues (20)
- RuntimeError: NCCL error in: /opt/conda/conda-bld/pytorch_1603729009598/work/torch/lib/c10d/ProcessGroupNCCL.cpp:784, invalid usage, NCCL version 2.7.8 HOT 1
- ModuleNotFoundError: No module named 'mmdet3d.ops.pcdet_nms'
- visualization question HOT 7
- train.py: error: unrecognized arguments: --load-from fully_conv_s3dis.pth HOT 1
- Can MinkowskiGenerativeConvolutionTranspose from fcaf3d_neck_with_head.py replaced? HOT 4
- output all predict bbox coordinate position HOT 4
- log information HOT 1
- run pcd_demo.py HOT 3
- mAP result question HOT 2
- Performance on ScanNet HOT 4
- The error about training the S3DIS dataset HOT 5
- resume-from
- Performance on SUN RGB-D HOT 5
- Concatenate different feature levels to one level before passing data to the heads HOT 2
- terminate called after throwing an instance of 'c10::CUDAError' HOT 1
- Generalization of FCAF3D HOT 2
- FCAF3D evaluation result mAP question HOT 2
- Training with Custom Dataset HOT 1
- Welcome update to OpenMMLab 2.0 HOT 1
- How to solve the error reported during the training trial HOT 3
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