这个代码段将输出两个点集之间的Chamfer Distance值。 需要注意的是,上述实现方式虽然直观但效率较低,特别是对于大规模点集。在实际应用中,可以考虑使用更高效的算法,如KD-Tree来加速最近邻搜索过程。此外,如果你在处理三维点云数据,并且希望利用GPU加速计算,还可以考虑使用PyTorch等框架提供的Chamfer Distance实现。
Pytorch 倒角距离。 包括一个CUDA版本和一个带有 pytorch 标准操作的PYTHON版本。 注意:在这个仓库中,dist1 和 dist2 是点云欧氏距离的平方,因此您应该相应地调整阈值。 F - 分数 CUDA 版本 即时编译 支持多GPU 二维点云。 3D 点云。 5D 点云。 连续()安全。 Python版本 支持任意维度 用法 import torch ,...
Pytorch Chamfer Distance. Include aCUDAversion, and aPYTHONversion with pytorch standard operations. NB : In this depo, dist1 and dist2 are squared pointcloud euclidean distances, so you should adapt thresholds accordingly. F - Score CUDA VERSION ...
As it is using pyTorch'sJIT compilation, there are no additional prerequisite steps that have to be taken. Simply import the module as shown below; CUDA and C++ code will be compiled on the first run. Usage fromchamfer_distanceimportChamferDistancechamfer_dist=ChamferDistance()#...# points an...
pytorch——计算两个等大无序点云中的距离Earth Mover Distance 目前要做两个无序点集之间的相似性计算,在看过Chamfer Distance后,个人觉得CD的计算方式决定了其无法处理两个点集整体分布差异大,但是局部有部分点距离很近的情况,而这种情况在点集中是一定可能出现的,因此使用EMD可以保证每个点集都有一一对应的整体...
chamferdist: PyTorch Chamfer distance NOTE: This implementation was stolen from thepytorch3drepo, and all I did was to simply repackage it. A simple example Pytorch module to compute Chamfer distance between two pointclouds. Installation You can install the package usingpip. ...
Chamfer Distance for pyTorch This is an installable implementation of the Chamfer Distance as a module for pyTorch fromChristian Diller. It is written as a custom C++/CUDA extension. As it is using pyTorch'sJIT compilation, there are no additional prerequisite steps that have to be taken. Simpl...