sample_src = sample_points_from_meshes(new_src_mesh, 5000) # 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
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
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], ...
chamfer_distance, the distance between the predicted (deformed) and target mesh, defined as the chamfer distance between the set of pointclouds resulting from differentiably sampling points from their surfaces. However, solely minimizing the chamfer distance between the predicted and the target mesh ...
"""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_...
The function learns to incrementally deform a source mesh (sphere) to be more similar to the target mesh (e.g dolphin) and use a 3D loss functions, such as chamfer distance to guide the learning. Intermediate generation results are stored as a 2D image and finally a GIF of the generated...
MaskPlanner is a deep learning model for the quick generation of multiple, long-horizon paths from free-form 3D objects represented as point clouds. - MaskPlanner/pytorch3d_chamfer.py at main · gabrieletiboni/MaskPlanner
5.ChamferDistanceLossChamfer's distance between two given point clouds 6.CorrespondenceLossComputes cross entropy loss using the predicted correspondence and ground truth correspondence for each source point Copy the file from "examples" folder outside of the directory "learning3d" ...
Oh. I see the location - I think this is a path issue. You have installed pytorch3d in the conda environment, but you are starting python while inside the source code directory of pytorch3d. This means it is looking for the build artifact in the source tree instead of the pytorch3d tre...
chamfer distance from:https://github.com/otaheri/chamfer_distance Docker Environment Ensure that you have installed Docker, NVIDIA-Container toolkit Export data and log (optional) env variable, which will let the docker have the volume attach to the data and log folder. ...