//=============================================================================
// Copyright 2006-2010 Daniel W. Dyer
//
// 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 org.uncommons.watchmaker.examples.monalisa;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.Point;
import java.awt.image.BufferedImage;
import java.util.Arrays;
import java.util.List;
import org.testng.annotations.Test;
import org.uncommons.maths.random.MersenneTwisterRNG;
/**
* Unit test for {@link PolygonImageEvaluator}.
* @author Daniel Dyer
*/
public class PolygonImageEvaluatorTest
{
/**
* An image that is identical to the target image should have a fitness
* of zero.
*/
@Test(groups = "display-required")
public void testPerfectMatch()
{
Dimension canvasSize = new Dimension(100, 100);
PolygonImageFactory factory = new PolygonImageFactory(canvasSize);
List<ColouredPolygon> image = factory.generateRandomCandidate(new MersenneTwisterRNG());
BufferedImage targetImage = new PolygonImageRenderer(canvasSize, false, null).render(image);
PolygonImageEvaluator evaluator = new PolygonImageEvaluator(targetImage);
double fitness = evaluator.getFitness(image, null);
assert fitness == 0 : "Fitness should be zero when image is an exact match.";
}
/**
* An image that is different to the target image should have a non-zero fitness.
*/
@Test(groups = "display-required")
public void testDifferentImages()
{
Dimension canvasSize = new Dimension(100, 100);
List<ColouredPolygon> targetImage = Arrays.asList(new ColouredPolygon(Color.BLACK,
Arrays.asList(new Point(0, 0),
new Point(99, 0),
new Point(99, 99),
new Point(0, 99))));
List<ColouredPolygon> candidateImage = Arrays.asList(new ColouredPolygon(Color.WHITE,
Arrays.asList(new Point(0, 0),
new Point(99, 0),
new Point(99, 99),
new Point(0, 99))));
BufferedImage renderedTarget = new PolygonImageRenderer(canvasSize, false, null).render(targetImage);
PolygonImageEvaluator evaluator = new PolygonImageEvaluator(renderedTarget);
double fitness = evaluator.getFitness(candidateImage, null);
assert fitness > 0 : "Fitness should be non-zero when image does not match target.";
}
/**
* If the image is not INT_RGB, it will be converted. This should not affect the results.
*/
@Test(groups = "display-required")
public void testImageConversion()
{
Dimension canvasSize = new Dimension(100, 100);
PolygonImageFactory factory = new PolygonImageFactory(canvasSize);
List<ColouredPolygon> image = factory.generateRandomCandidate(new MersenneTwisterRNG());
BufferedImage targetImage = new PolygonImageRenderer(canvasSize, false, null).render(image);
// Convert target image to some format that will have to be converted to INT_RGB.
BufferedImage newImage = new BufferedImage(targetImage.getWidth(),
targetImage.getHeight(),
BufferedImage.TYPE_3BYTE_BGR); // Sub-optimal image type.
newImage.getGraphics().drawImage(targetImage, 0, 0, null);
PolygonImageEvaluator evaluator = new PolygonImageEvaluator(newImage);
double fitness = evaluator.getFitness(image, null);
assert fitness == 0 : "Fitness should be zero when image is an exact match.";
}
}