package ac.essex.ooechs.imaging.commons.segmentation; 
 
import ac.essex.ooechs.imaging.commons.PixelLoader; 
import ac.essex.ooechs.imaging.commons.ConvolutionMatrix; 
import ac.essex.ooechs.imaging.commons.StatisticsSolver; 
 
import java.awt.*; 
 
/** 
 * <p/> 
 * This program is free software; you can redistribute it and/or 
 * modify it under the terms of the GNU General Public License 
 * as published by the Free Software Foundation; either version 2 
 * of the License, or (at your option) any later version, 
 * provided that any use properly credits the author. 
 * This program is distributed in the hope that it will be useful, 
 * but WITHOUT ANY WARRANTY; without even the implied warranty of 
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 
 * GNU General Public License for more details at http://www.gnu.org 
 * </p> 
 * 
 * @author Olly Oechsle, University of Essex, Date: 19-Feb-2008 
 * @version 1.0 
 */ 
public class SpeedTest { 
 
    public static void main(String[] args) throws Exception { 
 
 
 
        ConvolutionMatrix matrix = new ConvolutionMatrix(ConvolutionMatrix.LAPLACIAN); 
 
        PixelLoader image = new PixelLoader("/home/ooechs/Desktop/Documents/Papers/Pipelines/data/scaled_Frame181.jpg"); 
 
        StatisticsSolver solver = new StatisticsSolver(); 
        for (int i = 0; i <= 20; i++) { 
            long start = System.currentTimeMillis(); 
            image.getProcessedImage(PixelLoader.VARIANCE); 
            image.varianceCache = null; 
            long stop = System.currentTimeMillis(); 
            int time = (int) (stop - start); 
            if (i > 0) { 
            solver.addData(time); 
            System.out.println("T=" + time); 
            } 
        } 
 
        System.out.println("MEAN: " + solver.getMean() + " VAR: " + solver.getStandardDeviation()); 
 
 
    } 
 
 
 
}