/*
* 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.deepboof;
import boofcv.alg.filter.stat.ImageLocalNormalization;
import boofcv.core.image.border.BorderType;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.Planar;
import deepboof.models.YuvStatistics;
/**
* @author Peter Abeles
*/
public class TestImageClassifierVggCifar10 extends CheckBaseImageClassifier {
int width = ImageClassifierVggCifar10.inputSize;
int height = width;
@Override
public Planar<GrayF32> createImage() {
return new Planar<>(GrayF32.class,width,height,3);
}
@Override
public BaseImageClassifier createClassifier() {
ImageClassifierVggCifar10 alg = new ImageClassifierVggCifar10();
alg.stats = new YuvStatistics();
alg.stats.meanU = 120;
alg.stats.stdevU = 25;
alg.stats.meanV = 40;
alg.stats.stdevV = 10;
alg.stats.kernel = new double[]{0.1,0.5,0.1};
alg.stats.kernelOffset = 1;
alg.localNorm = new ImageLocalNormalization<>(GrayF32.class, BorderType.EXTENDED);
alg.kernel = DataManipulationOps.create1D_F32(alg.stats.kernel);
return alg;
}
}