/*
* Copyright (c) 2012-2014, Peter Abeles. All Rights Reserved.
*
* This file is part of DDogleg (http://ddogleg.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 org.ddogleg.nn.wrap;
import org.ddogleg.nn.NearestNeighbor;
import org.ddogleg.nn.NnData;
import org.ddogleg.nn.alg.ExhaustiveNeighbor;
import org.ddogleg.struct.FastQueue;
import org.ddogleg.struct.GrowQueue_F64;
import org.ddogleg.struct.GrowQueue_I32;
import java.util.List;
/**
* Wrapper around {@link org.ddogleg.nn.alg.ExhaustiveNeighbor} for {@link NearestNeighbor}
*
* @author Peter Abeles
*/
public class WrapExhaustiveNeighbor implements NearestNeighbor {
ExhaustiveNeighbor alg = new ExhaustiveNeighbor();
List points;
List data;
GrowQueue_I32 outputIndex = new GrowQueue_I32();
GrowQueue_F64 outputDistance = new GrowQueue_F64();
@Override
public void init( int N ) {
alg.setN(N);
}
@Override
public void setPoints(List points, List data) {
alg.setPoints(points);
this.points = points;
this.data = data;
}
@Override
public boolean findNearest(double[] point, double maxDistance, NnData result) {
if( maxDistance < 0 )
maxDistance = Double.MAX_VALUE;
int index = alg.findClosest(point,maxDistance);
if( index >= 0 ) {
result.point = points.get(index);
result.distance = alg.getBestDistance();
if( data != null )
result.data = data.get(index);
return true;
} else {
return false;
}
}
@Override
public void findNearest(double[] point, double maxDistance, int numNeighbors, FastQueue> result) {
if( maxDistance < 0 )
maxDistance = Double.MAX_VALUE;
outputIndex.reset();
outputDistance.reset();
alg.findClosestN(point,maxDistance,numNeighbors,outputIndex,outputDistance);
for( int i = 0; i < outputIndex.size; i++ ) {
int index = outputIndex.get(i);
NnData r = result.grow();
r.distance = outputDistance.get(i);
r.point = points.get(index);
if( data != null )
r.data = data.get( index );
}
}
}
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