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tfg.math.interpolation.trilinear.interpolate

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.

tfg.math.interpolation.trilinear.interpolate

Args

Returns