Closed MayuOshima closed 5 years ago
Hi @MayuOshima, MISE is an algorithm to extract a mesh from a continuous occupancy function representation. I'm not sure what you want to achieve, but you can take a look at the interface. Here you can see how it is used in practice. If you want to reconstruct from a point cloud instead, take a look at configs/pointcloud/onet.yaml. Note however, that the pretrained model was trained on (aligned) ShapeNet. So, if you want to apply it to some different object category you might want to retrain / finetune the network.
Hi @MayuOshima, MISE is an algorithm to extract a mesh from a continuous occupancy function representation. I'm not sure what you want to achieve, but you can take a look at the interface. Here you can see how it is used in practice. If you want to reconstruct from a point cloud instead, take a look at configs/pointcloud/onet.yaml. Note however, that the pretrained model was trained on (aligned) ShapeNet. So, if you want to apply it to some different object category you might want to retrain / finetune the network.
Sorry for having not described my question clearly!
I mean, after I do the steps (mark voxels -> subdevide voxels -> evaluate network) x n and finally I reach the desired resolution and get the points(which are markd red in your paper), then I write these points in a .npy file.
If I understand your method correctly, then I need apply the marching cubes algorithm and simplify the mesh and refine the mesh. So I want to know where did you implement the whole steps - [(mark voxels -> subdevide voxels -> evaluate network) x n & marching cubes & simplify mesh & refine mesh]
As there are so many code in this project, I am getting a little confused about the implement.
If I understand your method correctly, then I need apply the marching cubes algorithm and simplify the mesh and refine the mesh. So I want to know where did you implement the whole steps - [(mark voxels -> subdevide voxels -> evaluate network) x n & marching cubes & simplify mesh & refine mesh]
See here for the implementation of the inner loop of MISE. The outer loop is defined here. Finally, mesh extraction and refinement is done here, which calls this method for refinement and this function for simplification.
If I understand your method correctly, then I need apply the marching cubes algorithm and simplify the mesh and refine the mesh. So I want to know where did you implement the whole steps - [(mark voxels -> subdevide voxels -> evaluate network) x n & marching cubes & simplify mesh & refine mesh]
See here for the implementation of the inner loop of MISE. The outer loop is defined here. Finally, mesh extraction and refinement is done here, which calls this method for refinement and this function for simplification.
Thank you!!
You're welcome. Let me know if you have other questions.
Hi, could you explain the 'threshold' parameter of the MISE code?
Hello, now I have some 3D object points(in .npy file) and I want to use the method MISE described in your paper to construct a mesh . But how can I do that?