tfg.math.interpolation.trilinear.interpolate
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Trilinear interpolation on a 3D regular grid.
tfg.math.interpolation.trilinear.interpolate(
grid_3d: type_alias.TensorLike,
sampling_points: type_alias.TensorLike,
name: str = 'trilinear_interpolate'
) -> tf.Tensor
Args |
|---|
grid_3d
|
A tensor with shape [A1, ..., An, H, W, D, C] where H, W, D are
height, width, depth of the grid and C is the number of channels.
|
sampling_points
|
A tensor with shape [A1, ..., An, M, 3] where M is the
number of sampling points. Sampling points outside the grid are projected
in the grid borders.
|
name
|
A name for this op that defaults to "trilinear_interpolate".
|
Returns |
|---|
A tensor of shape [A1, ..., An, M, C]
|
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Last updated 2022-10-28 UTC.
[null,null,["Last updated 2022-10-28 UTC."],[],[],null,["# tfg.math.interpolation.trilinear.interpolate\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/math/interpolation/trilinear.py#L27-L96) |\n\nTrilinear interpolation on a 3D regular grid. \n\n tfg.math.interpolation.trilinear.interpolate(\n grid_3d: type_alias.TensorLike,\n sampling_points: type_alias.TensorLike,\n name: str = 'trilinear_interpolate'\n ) -\u003e tf.Tensor\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `grid_3d` | A tensor with shape `[A1, ..., An, H, W, D, C]` where H, W, D are height, width, depth of the grid and C is the number of channels. |\n| `sampling_points` | A tensor with shape `[A1, ..., An, M, 3]` where M is the number of sampling points. Sampling points outside the grid are projected in the grid borders. |\n| `name` | A name for this op that defaults to \"trilinear_interpolate\". |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor of shape `[A1, ..., An, M, C]` ||\n\n\u003cbr /\u003e"]]
View source on GitHub
