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]
|