/* * Copyright (c) 2011-2016, Peter Abeles. All Rights Reserved. * * This file is part of BoofCV (http://boofcv.org). * * 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 boofcv.alg.tracker.meanshift; import boofcv.struct.image.GrayU8; import boofcv.struct.image.Planar; import georegression.struct.shapes.RectangleLength2D_I32; import org.junit.Test; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertTrue; /** * @author Peter Abeles */ public class TestLikelihoodHistCoupled_PL_U8 { @Test public void numBins() { LikelihoodHistCoupled_PL_U8 alg = new LikelihoodHistCoupled_PL_U8(255,30); Planar<GrayU8> image = new Planar<>(GrayU8.class,30,40,3); // make sure the upper limit is handled correctly setColor(image,5,6,255,255,255); alg.setImage(image); alg.createModel(new RectangleLength2D_I32(5,6,1,1)); assertEquals(30 * 30 * 30, alg.hist.length); assertEquals(1f,alg.hist[alg.hist.length-1],1e-4); } @Test public void singleColor() { LikelihoodHistCoupled_PL_U8 alg = new LikelihoodHistCoupled_PL_U8(255,11); Planar<GrayU8> image = new Planar<>(GrayU8.class,30,40,3); RectangleLength2D_I32 r = new RectangleLength2D_I32(3,4,12,8); setColor(image,r,100,105,12); alg.setImage(image); alg.createModel(r); assertEquals(1.0f,alg.compute(3,4),1e-4); assertEquals(1.0f,alg.compute(14,11),1e-4); assertEquals(0,alg.compute(10,30),1e-4); } @Test public void multipleColors() { LikelihoodHistCoupled_PL_U8 alg = new LikelihoodHistCoupled_PL_U8(255,11); Planar<GrayU8> image = new Planar<>(GrayU8.class,30,40,3); RectangleLength2D_I32 r0 = new RectangleLength2D_I32(3,4,8,8); RectangleLength2D_I32 r1 = new RectangleLength2D_I32(11,4,4,8); setColor(image,r0,100,105,12); setColor(image,r1,50,200,50); RectangleLength2D_I32 region = new RectangleLength2D_I32(3,4,12,8); alg.setImage(image); alg.createModel(region); float v0 = alg.compute(3,4); float v1 = alg.compute(11,4); assertEquals(1.0f,v0+v1,1e-4); assertTrue(v0>v1); } public static void setColor(Planar<GrayU8> image , RectangleLength2D_I32 rect , int r , int g , int b ) { for( int y = 0; y < rect.height; y++ ) { for( int x = 0; x < rect.width; x++ ) { setColor(image,x+rect.x0,y+rect.y0,r,g,b); } } } public static void setColor(Planar<GrayU8> image , int x , int y , int r , int g , int b ) { image.getBand(0).set(x,y,r); image.getBand(1).set(x,y,g); image.getBand(2).set(x,y,b); } }