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Resamples input data at user defined coordinates.
tfa.image.resampler( data, warp, name=None )
The resampler currently only supports bilinear interpolation of 2D data.
data: Tensor of shape
[batch_size, data_height, data_width,
data_num_channels] containing 2D data that will be resampled.
warp: Tensor of minimum rank 2 containing the coordinates at
which resampling will be performed. Since only bilinear
interpolation is currently supported, the last dimension of the
warp tensor must be 2, representing the (x, y) coordinate where
x is the index for width and y is the index for height.
name: Optional name of the op.
Tensor of resampled values from
data. The output tensor shape
is determined by the shape of the warp tensor. For example, if
is of shape
[batch_size, data_height, data_width, data_num_channels]
and warp of shape
[batch_size, dim_0, ... , dim_n, 2] the output will
be of shape
[batch_size, dim_0, ... , dim_n, data_num_channels].
ImportError: if the wrapper generated during compilation is not
present when the function is called.