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#
# Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation components
#
# Copyright (c) 2019 Edward Smith
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from typing import Optional
import torch
from kaolin import helpers
[docs]class VoxelGrid(object):
"""Base class to hold (regular) voxel grids. """
[docs] def __init__(self, voxels: Optional[torch.Tensor] = None,
copy: Optional[bool] = False):
r"""Initialize a voxel grid, given a tensor of voxel `features`.
Args:
voxels (torch.Tensor, optional): Tensor containing voxel features
(shape: Any shape that has >= 3 dims).
copy (bool, optional): Whether or not to create a deep copy of the
Tensor(s) used to initialize class member(s).
Note:
By default, the created VoxelGrid object stores a reference to the
input `voxels` tensor. To create a deep copy of the voxels, set the
`copy` argument to `True`.
"""
super(VoxelGrid, self).__init__()
if voxels is None:
self.voxels = None
else:
helpers._assert_tensor(voxels)
helpers._assert_dim_ge(voxels, 3)
self.voxels = voxels.clone() if copy else voxels