src/test/scripts/functions/builtin/image_transform_linearized.R

#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------

args = commandArgs(TRUE)
options(digits=22)
library("Matrix")

image_transform_linearized = function(img_in, out_w, out_h, a, b, c, d, e, f, fill_value, s_cols, s_rows) {
  divisor = a * e - b * d
  if (divisor == 0) {
    print("Inverse matrix does not exist! Returning input.")
    img_out = img_in
  }
  else {
    orig_w = s_cols
    orig_h = s_rows
    T.inv = matrix(0, nrow=3, ncol=3)
    T.inv[1, 1] = e / divisor
    T.inv[1, 2] = -b / divisor
    T.inv[1, 3] = (b * f - c * e) / divisor
    T.inv[2, 1] = -d / divisor
    T.inv[2, 2] = a / divisor
    T.inv[2, 3] = (c * d - a * f) / divisor
    T.inv[3, 3] = 1

    img_out = matrix(fill_value, nrow=nrow(img_in), ncol=out_w*out_h)
    
    coords = matrix(1, nrow=3, ncol=out_w*out_h)
    coords[1,] = t((seq(0, out_w*out_h-1) %% out_w) + 0.5)
    coords[2,] = t((seq(0, out_w*out_h-1) %/% out_w) + 0.5)
    
    coords = floor(T.inv %*% coords) + 1
    
    inx = coords[1,]
    iny = coords[2,]
    ind = (iny-1)*orig_w + inx

    for (cell in 1:(out_w*out_h)) {
      inxi = coords[1, cell]
      inyi = coords[2, cell]
      indi = ind[cell]
      if ((0 < inxi) & (inxi <= orig_w) & (0 < inyi) & (inyi <= orig_h)) {
        img_out[,cell] = img_in[,indi]
      }
    }
    
    img_out = matrix(img_out, nrow=nrow(img_in), ncol=out_w*out_h)
  }

  img_out
}

input = as.matrix(readMM(paste(args[1], "A.mtx", sep="")))
input = matrix(input, ncol=as.integer(args[3]), nrow=as.integer(args[4]))

transformed = image_transform_linearized(input, as.integer(args[5]), as.integer(args[6]), as.double(args[7]), 
as.double(args[8]), as.double(args[9]), as.double(args[10]), as.double(args[11]), as.double(args[12]), 
as.double(args[13]), as.integer(args[14]),as.integer(args[15]))

writeMM(as(transformed, "CsparseMatrix"), paste(args[2], "B", sep=""))