one.empty3.feature20220726.GradMultProcess Maven / Gradle / Ivy
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3D rendering engine. Plus modeling. Expected glsl textures 3d and 2d rendering
/*
* Copyright (c) 2023. Manuel Daniel Dahmen
*
*
* Copyright 2012-2023 Manuel Daniel Dahmen
*
* Licensed 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.
*/
package one.empty3.feature20220726;
import java.io.File;
import javaAnd.awt.image.imageio.ImageIO;
import one.empty3.io.ProcessFile;
public class GradMultProcess extends ProcessFile {
public void setMaxRes(int maxRes) {
this.maxRes = maxRes;
}
public boolean process(File in, File out) {
//if (!in.getName().endsWith(".jpg"))
// return false;
File file = in;
PixM pix;
try {
pix = PixM.getPixM(ImageIO.read(file), maxRes);
GradientFilter gf = new GradientFilter(pix.getColumns(),
pix.getLines());
PixM[][] imagesMatrix = gf.filter(
new M3(
pix, 2, 2)
).getImagesMatrix();
Linear linear = new Linear(imagesMatrix[0][0], imagesMatrix[0][1], new PixM(pix.getColumns(), pix.getLines()));
linear.op2d2d(new char[]{'*'}, new int[][]{{1}, {0}}, new int[]{2});
ImageIO.write(linear.getImages()[2].normalize(0.0, 1.0).getImage(), "jpg", out);
addSource(out);
return true;
} catch (Exception ex) {
ex.printStackTrace();
return false;
}
}
}