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

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/*
 * Copyright (c) 2021, 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.abst.feature.detect.interest;

import boofcv.abst.feature.detect.extract.ConfigExtract;
import boofcv.factory.feature.detect.selector.ConfigSelectLimit;

/**
 * Configuration for {@link boofcv.alg.feature.detect.interest.GeneralFeatureDetector}.
 *
 * @author Peter Abeles
 */
public class ConfigGeneralDetector extends ConfigExtract {

	/**
	 * Specifies the maximum number of features it will detect. If a value is specified then the 'maxFeatures' most
	 * intense features are returned. Set to a value ≤ 0 to return all selected features. Default is -1.
	 */
	public int maxFeatures = -1;
	/**
	 * Specifies how the features are selected if more than {@link #maxFeatures} have been detected
	 */
	public ConfigSelectLimit selector = ConfigSelectLimit.selectBestN();

	public ConfigGeneralDetector( int maxFeatures,
								  int radius, float threshold, int ignoreBorder, boolean useStrictRule,
								  boolean detectMinimums, boolean detectMaximums ) {
		super(radius, threshold, ignoreBorder, useStrictRule, detectMinimums, detectMaximums);
		this.maxFeatures = maxFeatures;
	}

	public ConfigGeneralDetector( int maxFeatures, int radius, float threshold, int ignoreBorder, boolean useStrictRule ) {
		super(radius, threshold, ignoreBorder, useStrictRule);
		this.maxFeatures = maxFeatures;
	}

	public ConfigGeneralDetector( int maxFeatures, int radius, float threshold ) {
		super(radius, threshold);
		this.maxFeatures = maxFeatures;
	}

	public ConfigGeneralDetector( int maxFeatures, ConfigExtract config ) {
		this.maxFeatures = maxFeatures;
		if (config != null) {
			super.setTo(config);
		}
	}

	public ConfigGeneralDetector( ConfigGeneralDetector original ) {
		this.setTo(original);
	}

	public ConfigGeneralDetector() {
	}

	public ConfigGeneralDetector setTo( ConfigGeneralDetector orig ) {
		super.setTo(orig);
		this.maxFeatures = orig.maxFeatures;
		this.selector.setTo(orig.selector);
		return this;
	}

	public ConfigGeneralDetector copy() {
		return new ConfigGeneralDetector().setTo(this);
	}
}