tf.contrib.resampler.resampler( data, warp, name='resampler' )
Resamples input data at user defined coordinates.
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.
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.