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u-next's Introduction

Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework

(1) Setup

This code has been tested with Python 3.8, Tensorflow 2.4, CUDA 11.0 and cuDNN 8.0.5 on Ubuntu 20.04.

  • Setup python environment
conda create -n unext python=3.8
source activate unext
pip install -r helper_requirements.txt
sh compile_op.sh

(2) Data Prepare

cd utils/
python data_prepare_$data_you_want_use$.py

If you want to use Toronto3D, run this before the previous command line

python process_toronto3d.py

(3) Train & Test

If you don't want to use MDS, run this

python main_$data_you_want_use$.py --mode train & test

If you want to use MDS, run this

python main_$data_you_want_use$_ds.py --mode train & test

u-next's People

Contributors

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Stargazers

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Watchers

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Forkers

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u-next's Issues

C-VLDA

你好，我是看了LACV-Net那篇论文过来的，在LACV_UNet我只找到了C-VLDA的def，没有看到调用，请问C-VLDA的调用体现在什么地方呢？

the result of LACV-Net

Hello, may I ask if it is possible to upload the test results of LACV Net on the S3DIS dataset?

如何多gpu并行

作者您好，您提供的代码能否修改通过修改在多gpu上运行，调用多gpu的显存

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