blob: efe194045fc75de0e9e1ced4c57cfb571a4aa570 [file] [log] [blame]
#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
# Image Cutout function replaces a rectangular section of an image with a constant value.
#
#
# .. code-block:: python
#
# >>> import numpy as np
# >>> from systemds.context import SystemDSContext
# >>> from systemds.operator.algorithm import img_cutout
# >>>
# >>> with SystemDSContext() as sds:
# ... img = sds.from_numpy(
# ... np.array([[ 50., 100., 150.],
# ... [150., 200., 250.],
# ... [250., 200., 200.]], dtype=np.float32)
# ... )
# ... result_img = img_cutout(img, 2, 2, 1, 1, 49.).compute()
# ... print(result_img)
# [[ 50. 100. 150.]
# [150. 49. 250.]
# [250. 200. 200.]]
#
#
# INPUT:
# ---------------------------------------------------------------------------------------------
# img_in Input image as 2D matrix with top left corner at [1, 1]
# x Column index of the top left corner of the rectangle (starting at 1)
# y Row index of the top left corner of the rectangle (starting at 1)
# width Width of the rectangle (must be positive)
# height Height of the rectangle (must be positive)
# fill_value The value to set for the rectangle
# ---------------------------------------------------------------------------------------------
#
# OUTPUT:
# ------------------------------------------------------------------------------------------
# img_out Output image as 2D matrix with top left corner at [1, 1]
# ------------------------------------------------------------------------------------------
m_img_cutout = function(Matrix[Double] img_in, Integer x, Integer y, Integer width, Integer height, Double fill_value) return (Matrix[Double] img_out) {
rows = nrow(img_in)
cols = ncol(img_in)
if (width < 1 | height < 1) {
print("Invalid width or height. Returning input")
img_out = img_in
} else {
end_x = x + width - 1
end_y = y + height - 1
start_x = max(1, x)
start_y = max(1, y)
end_x = min(cols, end_x)
end_y = min(rows, end_y)
img_out = matrix(img_in, rows=rows, cols=cols)
img_out[start_y:end_y, start_x:end_x] = matrix(fill_value, rows=(end_y-start_y+1), cols=(end_x-start_x+1))
}
}