三维点云去噪无监督学习:ICCV2019论文分析 Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning 论文链接: http://openaccess.thecvf.com/content_ICCV_2019/papers/Hermosilla_Total_Denoising_Unsupervised_Learning_of_3D_Point_Cloud_Cleaning_ICCV_2019_paper.pdf 摘要
Geo-CNN的三维点云 Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN 摘要 深度卷积神经网络(CNNs)的最新进展促使研究人员采用CNNs直接对三维点云中的点进行建模.局部结构的建模已经被证明是卷积结构成功的关键,研究人员在特征提取层次中开发了局部点集的建模.对于局部区域内点间几何结构的显式建模研究却很少.提出GeoCNN,它对每个点及其局部邻域应用一种称为GeoConv的类卷积运算.在提取中心点与相邻点
CVPR2020:训练多视图三维点云配准 Learning Multiview 3D Point Cloud Registration 源代码和预训练模型:https://github.com/zgojcic/3D_multiview_reg 论文地址: https://openaccess.thecvf.com/content_CVPR_2020/papers/Gojcic_Learning_Multiview_3D_Point_Cloud_Registration_CVPR_2020_pap
CVPR2020:三维点云无监督表示学习的全局局部双向推理 Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds 论文地址: https://openaccess.thecvf.com/content_CVPR_2020/papers/Rao_Global-Local_Bidirectional_Reasoning_for_Unsupervised_Repr
python之对指定目录文件夹的批量重命名 import os,shutil,string dir = "/Users/lee0oo0/Documents/python/test" #指定的目录 for i in os.listdir(dir): #遍历指定目录的文件 newfile = i.replace('a','b') # 替换 oldname = dir +'/'+str(i) newname = dir +'/'+str(newfile) shutil.move(oldnam
In file included from greenlet.c:5:0: greenlet.h:8:20: 致命错误: Python.h:没有那个文件或目录 编译中断. error: Setup script exited with error: command 'gcc' failed with exit status 1 解决方法是安装python-dev,这是Python的头文件和静态库包: sudo apt-get install python-dev 如果这个python-dev无