blob: e85301f8bb6cc9925b3a8c1694f9e56d18c2272e [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.
#
#-------------------------------------------------------------
# The img_crop-function is an image data augmentation function. It cuts out a subregion of an image.
#
# INPUT:
# ----------------------------------------------------------------------------------------
# img_in Input matrix/image
# w The width of the subregion required
# h The height of the subregion required
# x_offset The horizontal coordinate in the image to begin the crop operation
# y_offset The vertical coordinate in the image to begin the crop operation
# ----------------------------------------------------------------------------------------
#
# OUTPUT:
# --------------------------------------------------------------------------------------------------
# img_out Cropped matrix/image
# --------------------------------------------------------------------------------------------------
m_img_crop = function(Matrix[Double] img_in, Integer w, Integer h, Integer x_offset, Integer y_offset) return (Matrix[Double] img_out) {
# crop - cut out a subregion of an image. Adapted from image_utils.dml
orig_w = ncol(img_in)
orig_h = nrow(img_in)
start_h = (ceil((orig_h - h) / 2)) + y_offset
end_h = (start_h + h - 1)
start_w = (ceil((orig_w - w) / 2)) + x_offset
end_w = (start_w + w - 1)
if((start_h < 0) | (end_h > orig_h) | (start_w < 0) | (end_w > orig_w)) {
print("Offset out of bounds! Returning input.")
img_out = img_in
}
else {
mask = matrix(0, rows=orig_h, cols=orig_w)
temp_mask = matrix(1, rows=h , cols=w )
mask[start_h:end_h, start_w:end_w] = temp_mask
mask = matrix(mask, rows=1, cols=orig_w * orig_h)
img_out = matrix(removeEmpty(target=(matrix(img_in+1, 1, orig_w * orig_h)), margin="cols", select=mask) - 1, h, w)
}
}