//============================================================================= // 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."; } }