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tfa.image.translate

View source on GitHub

Translate image(s) by the passed vectors(s).

Aliases:

tfa.image.translate(
    images,
    translations,
    interpolation='NEAREST',
    name=None
)

Args:

  • images: A tensor of shape (num_images, num_rows, num_columns, num_channels) (NHWC), (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW). The rank must be statically known (the shape is not TensorShape(None)).
  • translations: A vector representing [dx, dy] or (if images has rank 4) a matrix of length num_images, with a [dx, dy] vector for each image in the batch.
  • interpolation: Interpolation mode. Supported values: "NEAREST", "BILINEAR".
  • name: The name of the op.

Returns:

Image(s) with the same type and shape as images, translated by the given vector(s). Empty space due to the translation will be filled with zeros.

Raises:

  • TypeError: If images is an invalid type.