scripts/builtin/img_invert_linearized.dml

#-------------------------------------------------------------
#
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# to you under the Apache License, Version 2.0 (the
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#-------------------------------------------------------------

# This is an image data augmentation function. It inverts an image.It can handle one or multiple images 
#
# .. code-block:: python
#
#   >>> import numpy as np
#   >>> from systemds.context import SystemDSContext
#   >>> from systemds.operator.algorithm import img_invert_linearized
#   >>> 
#   >>> with SystemDSContext() as sds:
#   ...     img = sds.from_numpy(
#   ...         np.array([[ 10., 20., 30.,
#   ...                     40., 50., 60.,
#   ...                     70., 80., 90. ]], dtype=np.float32)
#   ...     )
#   ...     result_img = img_invert_linearized(img, 200.).compute()
#   ...     print(result_img.reshape(3, 3))
#   [[190. 180. 170.]
#    [160. 150. 140.]
#    [130. 120. 110.]]
#
#
# INPUT:
# ---------------------------------------------------------------------------------------------
# img_in     Input images as linearized 2D matrix with top left corner at [1, 1] (every row represents a linearized matrix/image)
# max_value  The maximum value pixels can have
# ---------------------------------------------------------------------------------------------
#
# OUTPUT:
# -------------------------------------------------------------------------------------------
# img_out  Output images (every row of the matrix represents a linearized image)
# -------------------------------------------------------------------------------------------

m_img_invert_linearized = function(Matrix[Double] img_in, Double max_value) return (Matrix[Double] img_out) {
  img_out = img_invert(img_in,max_value)
}