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
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最小点 Earth Mover Distance 在网上有很多EMD的解析和案例分析,...
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 below; CUDA and C++ code ...
# We compare the two sets of pointclouds by computing (a) the chamfer loss loss_chamfer, _ = chamfer_distance(sample_trg, sample_src) # and (b) the edge length of the predicted mesh loss_edge = mesh_edge_loss(new_src_mesh) # mesh normal consistency loss_normal = mesh_normal_consist...
However, solely minimizing the chamfer distance between the predicted and the target mesh will lead to a non-smooth shape (verify this by settingw_chamfer=1.0and all other weights to0.0). We enforce smoothness by addingshaperegularizersto the objective. Namely, we add: ...
"""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 Tensorflow 2.0 -未为任何变量提供梯度解决了，这是我代码中的一个错误：我调用model()的部分...
I updated the package to use a wrapper around the Pytorch3D package chamfer distance due to some gradients bugs in the original code. Please update to the new version if you face any issues. The only requirements are PyTotch and Pytorch3D with cuda support: ...
There are some changes to the interface of chamfer_distance to cope with heterogenous point clouds. |790eb8c The functionjoin_mesheshas been renamed tojoin_meshes_as_batch|b64fe51 Assets2 08 Mar 19:55 nikhilaravi v0.1.1 cf8e667
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...