Pointnet2.PyTorch

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test model

1

Part segmentation: how to test the model with unlabeled data? I test with unmarked data and can't get the predicted point cloud output.

Lizhinwafu

My torch version is 1.9.0, and caught errors within the following two functions/macros: `AT_CHECK` and `THCState_getCurrentStream(state)` I changed them to `TORCH_CHECK` and `at::cuda::getCurrentCUDAStream().stream()` and it worked well, so I wonder...

ErictheSam

Thanks for your great work, G++ error occurred when I entered python setup.py install. `running install running bdist_egg running egg_info writing pointnet2.egg-info/PKG-INFO writing dependency_links to pointnet2.egg-info/dependency_links.txt writing top-level names to...

XMU-qcj

1. `AT_CHECK` -> `TORCH_CHECK`, ref: https://github.com/mrlooi/rotated_maskrcnn/issues/31 2. `THCState_getCurrentStream` -> `c10::cuda::getCurrentCUDAStream`, ref: https://github.com/pytorch/pytorch/commit/a5f01846c2bae0d78a5c0cd74ced20a07b8ef961#diff-1dcab1425fcb102bc8786f370fa99028

keineahnung2345

Hi, I tested your pointnet2 model successfully on my local Linux Ubuntu20 with torch1.0 and Python=3.6. However, when I upload the full code to the Linux based server and test...

QLuanWilliamed

Segmentation fault (core dumped) when import pointnet2_cuda

3

after build pointnet2, I get this error when importing: ``` >>> import pointnet2_cuda Segmentation fault (core dumped) ```

cslxiao

Some technical questions about CUDA programming

1

@sshaoshuai Hi, Thanks for your open source work. I'm very interested in your implementation of the accelerated code using **CUDA**. I'd like to know the IDE in which you write...

MuMuJun97

Problems when running setup.py

1

Hi, I am trying to run the script on a machine with python3.6 installed, torch==1.5 and cuda 9.1. However, I get errors similars to the attached file. It looks like...

GMNetto

No module named 'pointnet2_cuda'

9

where is pointnet2_cuda?

Keyird

the meaning of the target_label value(-1)

2

Hello, there are three different values (0,1,-1) in the target_label in the loss function DiceLoss(nn.Module); -1 is not considered; I want to know the meaning of these three values It...

tyjiang1997