class_docstr: Volumetric TSDF Fusion of RGB-D Images.
      
docstr: Compute a mesh from the voxel volume using marching cubes.
          
docstr_tok: ["Compute","a","mesh","from","the","voxel","volume","using","marching","cubes","."]
code: def get_mesh(self):
      """Compute a mesh from the voxel volume using marching cubes."""
      tsdf_vol, _ = self.get_volume()
  
      # Marching cubes
      verts, faces, norms, vals = measure.marching_cubes_lewiner(
          tsdf_vol, level=0
      )
  
      verts = verts * self._voxel_size + self._vol_origin
      # voxel grid coordinates to world coordinates
      return verts, faces, norms
  
file_path: torch-points3d/torch_points3d/datasets/registration/fusion.py
imports: import numpy
  from numba import njit, prange
  from skimage import measure
label_desc: Use image node_id 7 for calling the TSDFVolume obj's underlying member method code with example usage: obj.get_mesh() and returns: verts,  faces,  norms