/*
* Copyright (c) 2011-2016, 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.background.stationary;
import boofcv.alg.background.BackgroundModelStationary;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayU8;
import boofcv.struct.image.ImageBase;
import boofcv.struct.image.ImageType;
/**
* @author Peter Abeles
*/
public class TestBackgroundStationaryGaussian_SB extends GenericBackgroundStationaryGaussianChecks {
public TestBackgroundStationaryGaussian_SB() {
imageTypes.add(ImageType.single(GrayU8.class));
imageTypes.add(ImageType.single(GrayF32.class));
}
@Override
public <T extends ImageBase> BackgroundModelStationary<T>
create(ImageType<T> imageType) {
BackgroundStationaryGaussian alg = new BackgroundStationaryGaussian_SB(0.05f,10f,imageType.getImageClass());
if( !Float.isNaN(initialVariance))
alg.setInitialVariance(initialVariance);
return alg;
}
}