chamfer_distance, the distance between the predicted (deformed) and target mesh, defined as the chamfer distance between the set of pointclouds resulting fromdifferentiably sampling pointsfrom their surfaces. However, solely minimizing the chamfer distance between the predicted and the target mesh will ...
"""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_...
chamfer_distance/chamfer_distance.py:7 5 import torch 6 import torch.nn.functional as F ---> 7 from pytorch3d.ops.knn import knn_gather, knn_points 8 from pytorch3d.structures.pointclouds import Pointclouds 11 def _validate_chamfer_reduction_inputs( 12 batch_reduction: Union[str, None], ...
Integration This code has been integrated into theKaolinlibrary for 3D Deep Learning by NVIDIAGameWorks. You should probably take a look at it if you are working on anything 3D :) Releases No releases published
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...
pytorch3d.loss import ( 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 ...
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...
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...
( 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 ...