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 |
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Pure PyTorch reference implementation used by tests. |
- 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 F x 3 or N x F 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-1inindex_img, the returned tensor will have non-zero values which should be ignored.
- drtk.interpolate_ref(vert_attributes, vi, index_img, bary_img)[source]#
Pure PyTorch reference implementation used by tests.
This helper is intentionally not part of the documented public API. See
drtk.interpolate()for the supported implementation.