blob: 2475535aadd73b145682b08e210f8d76c8f0741d [file]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
# This is an image data augmentation function. It inverts an image.
#
# .. code-block:: python
#
# >>> import numpy as np
# >>> from systemds.context import SystemDSContext
# >>> from systemds.operator.algorithm import img_invert
# >>>
# >>> 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(img, 210.).compute()
# ... print(result_img)
# [[200. 190. 180.]
# [170. 160. 150.]
# [140. 130. 120.]]
#
#
# INPUT:
# ---------------------------------------------------------------------------------------------
# img_in Input image as 2D matrix with top left corner at [1, 1]
# max_value The maximum value pixels can have
# ---------------------------------------------------------------------------------------------
#
# OUTPUT:
# -------------------------------------------------------------------------------------------
# img_out Output image
# -------------------------------------------------------------------------------------------
m_img_invert = function(Matrix[Double] img_in, Double max_value) return (Matrix[Double] img_out) {
img_out = max_value - img_in
}