|View source on GitHub|
Resamples input data at user defined coordinates.
tf.contrib.resampler.resampler( data, warp, name='resampler' )
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
warptensor 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
data is of
[batch_size, data_height, data_width, data_num_channels] and warp of
[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.