/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.data.image;
import java.awt.Color;
import java.awt.Graphics;
import java.awt.HeadlessException;
import java.awt.Image;
import java.util.Iterator;
import javax.swing.JFrame;
import junit.framework.TestCase;
import org.encog.ml.data.MLData;
import org.encog.ml.data.MLDataPair;
import org.encog.ml.data.basic.BasicMLData;
import org.encog.platformspecific.j2se.data.image.ImageMLData;
import org.encog.platformspecific.j2se.data.image.ImageMLDataSet;
import org.encog.util.downsample.Downsample;
import org.encog.util.downsample.SimpleIntensityDownsample;
public class TestImageDataSet extends TestCase {
public void testImageDataSet()
{
try {
JFrame frame = new JFrame();
frame.setVisible(true);
Image image = frame.createImage(10, 10);
Graphics g = image.getGraphics();
g.setColor(Color.BLACK);
g.fillRect(0,0,10,10);
g.setColor(Color.WHITE);
g.fillRect(0, 0, 5, 5);
g.dispose();
Downsample downsample = new SimpleIntensityDownsample();
ImageMLDataSet set = new ImageMLDataSet(downsample,true,-1,1);
BasicMLData ideal = new BasicMLData(1);
ImageMLData input = new ImageMLData(image);
set.add(input,ideal);
set.downsample(2,2);
Iterator<MLDataPair> itr = set.iterator();
MLDataPair pair = (MLDataPair)itr.next();
MLData data = pair.getInput();
double[] d = data.getData();
//Assert.assertEquals(d[0],-1.0, 0.1);
//Assert.assertEquals(d[5],1, 0.1);
// just "flex" these for no exceptions
input.toString();
input.setImage(input.getImage());
}
catch( HeadlessException ex) {
// ignore if we are running headless (i.e. the build server)
}
}
}