Similar to Matlab's interp2 function.
@tf.function
tfa.image.interpolate_bilinear(
grid: tfa.types.TensorLike
,
query_points: tfa.types.TensorLike
,
indexing: str = 'ij',
name: Optional[str] = None
) -> tf.Tensor
Finds values for query points on a grid using bilinear interpolation.
Args |
grid
|
a 4-D float Tensor of shape [batch, height, width, channels] .
|
query_points
|
a 3-D float Tensor of N points with shape
[batch, N, 2] .
|
indexing
|
whether the query points are specified as row and column (ij),
or Cartesian coordinates (xy).
|
name
|
a name for the operation (optional).
|
Returns |
values
|
a 3-D Tensor with shape [batch, N, channels]
|
Raises |
ValueError
|
if the indexing mode is invalid, or if the shape of the
inputs invalid.
|