tf.contrib.resampler.resampler

tf.contrib.resampler.resampler(
    data,
    warp,
    name='resampler'
)

Defined in tensorflow/contrib/resampler/python/ops/resampler_ops.py.

Resamples input data at user defined coordinates.

The resampler currently only supports bilinear interpolation of 2D data.

Args:

  • 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.
  • name: Optional name of the op.

Returns:

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 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].

Raises:

  • ImportError: if the wrapper generated during compilation is not present when the function is called.