Comments (3)
Actually there is a complete tensorflow implementation of this project which shares all code except ./pytorch and contains a faster sparse convnet implementation. I have no plan to release tf code because of two reasons:
- tf sparseconv is done in a company.
- due to limitations of tensorflow input (it uses c++ multi-thread rather than multiprocessing in pytorch) which isn't compatible with python pre-processing function, the training speed of tensorflow code is very slow (~1.5x-2x slower).
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@traveller59 So that it actually didn't used in this project? I think pytorch official SparseConvNet should be reliable and fast though
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@jinfagang some opinions are only for tensorflow and aren't used in pytorch code. the official SparseConvNet actually has some performance problems (rule generation, hand-written gemm).
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Related Issues (20)
- KeyError: 'annotations' when using nuscenes dataset
- KeyError: 'annotations' when using nuscenes dataset HOT 3
- How to start training from interrupted step HOT 1
- About gt_sampling
- ModuleNotFoundError: No module named 'second' HOT 1
- Kitti web viewer backend issue HOT 1
- second.pytorch 1.6.0 Alpha and spconv 2.1 HOT 2
- Convert custom Lidar point cloud data to KITTI format HOT 1
- Summary name eval.kitti/official/Car/[email protected]/1 is illegal; using eval.kitti/official/Car/3d_0.70/1 instead.
- Issues while using Kitti viewer. HOT 1
- Need tips on improving performance on custom dataset
- Need suggestions on how to generate onnx files using this repo
- Source of torchplus package
- OSS License compatibility question
- About kitti viewer
- second.data HOT 2
- I would like to know how many samples should be used for validation if 3517 samples are used for training?
- Is the sparse library writed by the autuor?
- Input only the desired scene
- 有人试过把这个代码在windows上运行吗
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