boofcv.alg.tracker.sfot.SfotConfig Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of recognition Show documentation
Show all versions of recognition Show documentation
BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2014, 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.sfot;
import boofcv.alg.tracker.klt.KltConfig;
/**
* fContains configuration parameters for {@link SparseFlowObjectTracker}.
*
* @author Peter Abeles
*/
public class SfotConfig {
/**
* Random seed used by random number generator
*/
public long randSeed = 0xFEED;
/**
* Number of iterative cycles used by LeastMedianOfSquares
*/
public int robustCycles = 50;
/**
* Maximum allowed error in pixels when performing robust model fitting using LeastMedianOfSquares
*/
public double robustMaxError = 10;
public int trackerFeatureRadius = 5;
/**
* Number of points it samples along one side of the grid.
*/
public int numberOfSamples = 15;
/**
* Maximum allowed forward-backwards error in pixels
*/
public double maximumErrorFB = 10;
/**
* Basic parameters for tracker. KltConfig.createDefault() with maxIterations = 50 is suggested.
*/
public KltConfig trackerConfig;
public SfotConfig() {
trackerConfig = new KltConfig();
trackerConfig.maxIterations = 50;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy