RandLANet使用

合集 - 深度学习(6)

1.RandLANet使用2022-10-14

2.将自己的数据转为Randla-net支持的格式2023-12-163.深度学习发展历史2024-11-304.U-Net学习与进阶2024-05-145.CNN实现手写数字识别2024-03-256.深度学习素材02-12

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torch-points-kernels安装：pip install torch-points-kernels -i https://pypi.tuna.tsinghua.edu.cn/simple

https://github.com/torch-points3d/torch-points-kernels/tags

 

参考资料：

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (ox.ac.uk)

手把手一步一步教你跑深度学习模型，Ubuntu22.04复现算法RandLa-net， 数据集使用S3DIS_羊村一哥的博客-CSDN博客

超详细记录windows+Ubuntu跑通RandLaNet实验踩坑记录（数据集：Semantic_Kitti+Semantic 3D）-CSDN博客

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共享文件夹：https://blog.csdn.net/SkyGloaming/article/details/120518021

RandLANet安装教程：

 https://blog.csdn.net/weixin_40826634/article/details/127493809

https://blog.csdn.net/u014311125/article/details/119825324

https://blog.csdn.net/Parkerfive/article/details/123472387

https://blog.csdn.net/weixin_43798395/article/details/123657419

https://blog.csdn.net/s1h2e34/article/details/130294606?spm=1001.2014.3001.5501

 

CUDA下载地址：https://developer.nvidia.com/cuda-toolkit-archive

cuDNN下载地址：https://developer.nvidia.com/rdp/cudnn-archive

 

https://www.bilibili.com/video/av97873676/

https://www.bilibili.com/video/BV1YM4y1M7Jk/?vd_source=5d8ef6adb8b86320e8b68f9153bd7369

https://qingyonghu.github.io/

https://zhuanlan.zhihu.com/p/105433460

 

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https://www.bilibili.com/video/BV1BE411K7P9/?spm_id_from=333.788.recommend_more_video.8&vd_source=5d8ef6adb8b86320e8b68f9153bd7369