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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* 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.factory.feature.disparity;
import boofcv.alg.feature.disparity.sgm.SgmDisparityCost;
import boofcv.alg.feature.disparity.sgm.SgmStereoDisparityHmi;
import boofcv.struct.Configuration;
import boofcv.struct.border.BorderType;
import static boofcv.alg.feature.disparity.sgm.SgmDisparityCost.MAX_COST;
/**
* Configuration for {@link SgmStereoDisparityHmi Semi Global Matching}
*
* @author Peter Abeles
*/
public class ConfigDisparitySGM implements Configuration {
/**
* Minimum disparity that it will check. Must be ≥ 0 and < maxDisparity
*/
public int disparityMin =0;
/**
* Number of disparity values considered. Must be > 0. Maximum number is 255 for 8-bit disparity
* images.
*/
public int disparityRange =100;
/**
* Maximum allowed error for a single pixel. Set to a value less than 0 to disable. Has a range from
* 0 to {@link SgmDisparityCost#MAX_COST}
*/
public int maxError = -1;
/**
* Tolerance for how difference the left to right associated values can be. Try 1. Disable with -1
*/
public int validateRtoL=1;
/**
* Tolerance for how similar optimal region is to other region. Closer to zero is more tolerant.
* Try 0.1 for SAD or 0.7 for NCC. Disable with a value ≤ 0
*/
public double texture = 0.15;
/**
* If subpixel should be used to find disparity or not. If on then output disparity image needs to me GrayF32.
* If false then GrayU8.
*/
public boolean subpixel = true;
/**
* The penalty applied to a small change in disparity. 0 ≤ x ≤ {@link SgmDisparityCost#MAX_COST} and
* must be less than {@link #penaltyLargeChange}.
*/
public int penaltySmallChange = 200;
/**
* The penalty applied to a large change in disparity. 0 ≤ x ≤ {@link SgmDisparityCost#MAX_COST}
*/
public int penaltyLargeChange = 2000;
/**
* Number of paths it should consider. 4 or 8 is most common. More paths slower it will run.
*/
public Paths paths = Paths.P8;
/**
* Which error model should it use
*/
public DisparitySgmError errorType = DisparitySgmError.CENSUS;
/**
* If true it will use block variants of errors.
*/
public boolean useBlocks=true;
/**
* Used if error type is Census
*/
public ConfigDisparityError.Census configCensus = new ConfigDisparityError.Census();
/**
* Used if error type is HMI
*/
public ConfigDisparityError.HMI configHMI = new ConfigDisparityError.HMI();
/**
* The error can be computed using code taken from block matching
*/
public ConfigBlockMatchError configBlockMatch = new ConfigBlockMatchError();
/**
* Specifies how the image border is handled. In general you want to avoid an approach which would bias the
* error to prefer a region with lots of pixels outside the image border.
*/
public BorderType border = BorderType.REFLECT;
public void setTo(ConfigDisparitySGM src) {
this.disparityMin = src.disparityMin;
this.disparityRange = src.disparityRange;
this.maxError = src.maxError;
this.validateRtoL = src.validateRtoL;
this.texture = src.texture;
this.subpixel = src.subpixel;
this.penaltySmallChange = src.penaltySmallChange;
this.penaltyLargeChange = src.penaltyLargeChange;
this.paths = src.paths;
this.errorType = src.errorType;
this.useBlocks=src.useBlocks;
this.configCensus.setTo(src.configCensus);
this.configHMI.setTo(src.configHMI);
this.configBlockMatch.setTo(src.configBlockMatch);
this.border = src.border;
}
public static class ConfigBlockMatchError implements Configuration {
/**
* Block radius X
*/
public int radiusX=2;
/**
* Block radius Y
*/
public int radiusY=2;
public BlockMatchingApproach approach=BlockMatchingApproach.BEST5;
public void setTo(ConfigBlockMatchError src) {
this.radiusX = src.radiusX;
this.radiusY = src.radiusY;
}
@Override
public void checkValidity() {
if( radiusX <= 0 || radiusY <= 0 )
throw new IllegalArgumentException("Radius must be positive");
}
}
@Override
public void checkValidity() {
if( penaltyLargeChange <= penaltySmallChange )
throw new IllegalArgumentException("large penalty must be larger than small");
if( penaltySmallChange < 0 || penaltySmallChange > MAX_COST )
throw new IllegalArgumentException("Invalid value for penaltySmallChange.");
if( penaltyLargeChange < 0 || penaltyLargeChange > MAX_COST )
throw new IllegalArgumentException("Invalid value for penaltySmallChange.");
if( disparityMin < 0 )
throw new IllegalArgumentException("Minimum disparity must be >= 0");
configBlockMatch.checkValidity();
}
/**
* Allowed number of paths
*/
public enum Paths {
P1(1),P2(2),P4(4),P8(8),P16(16);
private int count;
Paths(int count) {
this.count = count;
}
public int getCount() {
return count;
}
}
}
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