KPConv is also available in Tensorflow (original but older implementation). Another implementation of KPConv is available in PyTorch-Points-3D KPConv is a point convolution operator presented in our ICCV2019 paper (arXiv). If you find our work useful in your research, please consider citing: @ar...
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KPConv is also available in Tensorflow (original but older implementation). Another implementation of KPConv is available in PyTorch-Points-3D KPConv is a point convolution operator presented in our ICCV2019 paper (arXiv). If you find our work useful in your research, please consider citing: @ar...
update deformable KPConv(v1 & v2) 5年前 pytorch_ops fix bug: batch_find_neighbors 5年前 utils initial 5年前 .gitignore add PyTorch C++ extentions for batch_neighbors function 5年前 README.md Update README.md 5年前 environment.yml initial 5年前 trainer.py fix...
hi, I also get this error, but after i change the folder name(KPConv-PyTorch-master\cpp_wrappers\cpp_neighbors\radius_neighbors), it works! Plus, compiled c++ modules first, according to https://github.com/HuguesTHOMAS/KPConv-PyTorch/blob/master/INSTALL.md. When I change the folder neighbors...
Hi Thomas, Thank you so much for your fantastic work and detailed documentation. I'm trying to get started with KPConv-PyTorch using the pretrained weights on S3DIS you kindly included. I was hoping you could offer some insight into the ...
克隆/下载 git config --global user.name userName git config --global user.email userEmail KPConv-PyTorch / train_ModelNet40.py train_ModelNet40.py8.51 KB 一键复制编辑原始数据按行查看历史 HuguesTHOMAS提交于5年前.Corrections # # # 0===0 # | Kernel Point Convolutions | # 0===0 ...
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PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889 - KPConv.pytorch/ModelNet.py at master · XuyangBai/KPConv.pytorch
An inofficial PyTorch implementation of PREDATOR based on KPConv. The code has been tested on Ubuntu 16.4, Python 3.7, PyTorch (1.7.1+cu101), torchvision (0.8.2+cu101), GCC 5.4.0 and Open3D (0.9 or 0.13). All experiments were run on a Tesla V100 GPU with an Intel 6133CPU at 2.50...