All Downloads are FREE. Search and download functionalities are using the official Maven repository.

boofcv.alg.feature.detect.extract.NonMaxBlock_MT Maven / Gradle / Ivy

Go to download

BoofCV is an open source Java library for real-time computer vision and robotics applications.

There is a newer version: 1.1.7
Show newest version
/*
 * Copyright (c) 2011-2020, 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.feature.detect.extract;

import boofcv.concurrency.BoofConcurrency;
import boofcv.struct.QueueCorner;
import boofcv.struct.image.GrayF32;
import org.ddogleg.struct.FastQueue;

import javax.annotation.Nullable;

/**
 * 

Concurrent implementation of {@link NonMaxBlock_MT}. Every row of block is run in its own threads. * All threads keep track of all the found mins/maxs in seperate lists which are then combined after * a thread has finished running. All searches and point lists declared for each thread * are saved for future use

* * @author Peter Abeles */ public class NonMaxBlock_MT extends NonMaxBlock { // lock for variables below - which are lists used to store work space for individual threads final FastQueue searches = new FastQueue<>(this::createSearchData); public NonMaxBlock_MT(Search search) { super(search); } /** * Detects local minimums and/or maximums in the provided intensity image. * * @param intensityImage (Input) Feature intensity image. * @param localMin (Output) storage for found local minimums. * @param localMax (Output) storage for found local maximums. */ @Override public void process(GrayF32 intensityImage, @Nullable QueueCorner localMin, @Nullable QueueCorner localMax) { if( localMin != null ) localMin.reset(); if( localMax != null ) localMax.reset(); // the defines the region that can be processed int endX = intensityImage.width - border; int endY = intensityImage.height - border; int step = configuration.radius+1; search.initialize(configuration,intensityImage,localMin,localMax); // Compute number of y iterations int range = endY-border; int N = range/step; if( range > N*step ) N += 1; // The previous version required locks. In a benchmark in Java 11 this lock free version and the previous // had identical performance. BoofConcurrency.loopBlocks(0,N,searches, (blockInfo,iter0,iter1) -> { final Search search = blockInfo.search; blockInfo.cornersMin.reset(); blockInfo.cornersMax.reset(); QueueCorner threadMin=localMin!=null?blockInfo.cornersMin:null; QueueCorner threadMax=localMax!=null?blockInfo.cornersMax:null; search.initialize(configuration,intensityImage,threadMin,threadMax); for (int iterY = iter0; iterY < iter1; iterY++) { // search for local peaks along this block row int y = border + iterY*step; int y1 = y + step; if( y1 > endY) y1 = endY; for(int x = border; x < endX; x += step ) { int x1 = x + step; if( x1 > endX) x1 = endX; search.searchBlock(x,y,x1,y1); } } }); // Save results outside of the thread. This ensures the order is not randomized. That was wrecking havoc // on results that needed to be deterministic for (int i = 0; i < searches.size; i++) { SearchData data = searches.get(i); if( localMin != null ) localMin.appendAll(data.cornersMin); if( localMax != null ) localMax.appendAll(data.cornersMax); } } public SearchData createSearchData() { return new SearchData(search.newInstance()); } protected static class SearchData { public final Search search; public final QueueCorner cornersMin = new QueueCorner(); public final QueueCorner cornersMax = new QueueCorner(); public SearchData(Search search) { this.search = search; } } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy