/* * 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.descriptor; import boofcv.struct.feature.TupleDesc_F64; import org.junit.Test; import java.util.ArrayList; import java.util.List; import static org.junit.Assert.assertEquals; /** * @author Peter Abeles */ public class TestUtilFeature { @Test public void combine() { TupleDesc_F64 feature0 = new TupleDesc_F64(64); TupleDesc_F64 feature1 = new TupleDesc_F64(32); feature0.value[5] = 10; feature1.value[3] = 13; List<TupleDesc_F64> list = new ArrayList<>(); list.add(feature0); list.add(feature1); TupleDesc_F64 combined = UtilFeature.combine(list,null); assertEquals(10,combined.getDouble(5),1e-8); assertEquals(13,combined.getDouble(67),1e-8); } @Test public void normalizeL2_F64() { TupleDesc_F64 feature = new TupleDesc_F64(64); feature.value[5] = 2; feature.value[10] = 4; UtilFeature.normalizeL2(feature); assertEquals(0.44721,feature.value[5],1e-3); assertEquals(0.89443, feature.value[10], 1e-3); } /** * The descriptor is all zeros. See if it handles this special case. */ @Test public void normalizeL2_zeros_F64() { TupleDesc_F64 feature = new TupleDesc_F64(64); UtilFeature.normalizeL2(feature); for( int i = 0; i < feature.value.length; i++ ) assertEquals(0,feature.value[i],1e-4); } @Test public void normalizeSumOne_F64() { TupleDesc_F64 feature = new TupleDesc_F64(64); feature.value[5] = 2; feature.value[10] = 4; UtilFeature.normalizeSumOne(feature); double total = 0; for (int i = 0; i < feature.size(); i++) { total += feature.getDouble(i); } assertEquals(1,total,1e-8); } /** * The descriptor is all zeros. See if it handles this special case. */ @Test public void normalizeSumOne_zeros_F64() { TupleDesc_F64 feature = new TupleDesc_F64(64); UtilFeature.normalizeSumOne(feature); for( int i = 0; i < feature.value.length; i++ ) assertEquals(0,feature.value[i],1e-4); } }