Chamfer Distance for pyTorch This is an implementation of the Chamfer Distance as a module for pyTorch. 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. Simply import the module as shown...
Starting from a sphere mesh, we learn the offset to each vertex in the mesh such that the predicted mesh is closer to the target mesh at each optimization step. To achieve this we minimize: chamfer_distance, the distance between the predicted (deformed) and target mesh, defined as the cham...
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 ...
’Pytorch implementation of the chamfer distance' by ThibaultGROUEIX GitHub: http://t.cn/Ai1lldVX
"""using pytorch3d deform a source mesh to target mesh using 3D loss functions"""importosfrompytorch3d.ioimportload_obj,save_objfrompytorch3d.structuresimportMeshesfrompytorch3d.utilsimportico_spherefrompytorch3d.opsimportsample_points_from_meshesfrompytorch3d.lossimport(chamfer_distance,mesh_edge_...
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cost...
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 , chamfer3D . dist_chamfer_3D , fscore chamLoss = chamfer3D . dist_chamfer_3D . chamfer_3DDist () points1 = torch . rand ( 32 , 1000 , 3 ). cuda () points2 = torch . rand ( 32点...
( chamfer_distance, mesh_edge_loss, mesh_normal_consistency, mesh_laplacian_smoothing ) import numpy as np import torch import matplotlib.pyplot as plt import matplotlib as mpl from mpl_toolkits.mplot3d import Axes3D from alfred.dl.torch.common import device import open3d as o3d ...
解决了，这是我代码中的一个错误：我调用model()的部分应该在with语句中，如下所示：
Python">"""usingpytorch3d deform a source mesh to target mesh using 3D loss functions"""importosfrompytorch3d.ioimportload_obj,save_objfrompytorch3d.structuresimportMeshesfrompytorch3d.utilsimportico_spherefrompytorch3d.opsimportsample_points_from_meshesfrompytorch3d.lossimport(chamfer_distance,mesh...