drtk.interpolate#
drtk.interpolate
module provides functions for differentiable interpolation of vertex
attributes across the fragments, e.i. pixels covered by the primitive.
Performs a linear interpolation of the vertex attributes given the barycentric coordinates |
|
A reference implementation of |
- drtk.interpolate(vert_attributes, vi, index_img, bary_img)[source]#
Performs a linear interpolation of the vertex attributes given the barycentric coordinates
- Parameters:
vert_attributes (th.Tensor) – vertex attribute tensor N x V x C
vi (th.Tensor) – face vertex index list tensor V x 3
index_img (th.Tensor) – index image tensor N x H x W
bary_img (th.Tensor) – 3D barycentric coordinate image tensor N x 3 x H x W
- Returns:
A tensor with interpolated vertex attributes with a shape [N, C, H, W]
Warning
The returned tensor has only valid values for pixels which have a valid index in
index_img
. For all other pixels, which had index-1
inindex_img
, the returned tensor will have non-zero values which should be ignored.
- drtk.interpolate_ref(vert_attributes, vi, index_img, bary_img)[source]#
A reference implementation of
drtk.interpolate()
in pure PyTorch. This function is used for tests only, please seedrtk.interpolate()
for documentation.