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Svm.java
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Svm.java
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package org.genericsystem.cv;
import java.io.File;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.core.TermCriteria;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.ml.Ml;
import org.opencv.ml.SVM;
public class Svm {
static {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
private final static String imgClassDirectory = "tmp";
public static void main(String[] args) {
Mat classes = new Mat();
Mat trainingData = new Mat();
Mat trainingImages = new Mat();
Mat trainingLabels = new Mat();
SVM clasificador;
Size size = new Size(128, 128);
for (File file : new File(imgClassDirectory + "/positives/").listFiles()) {
if (file.getName().endsWith(".png")) {
Mat img = Imgcodecs.imread(file.getPath());
Imgproc.resize(img, img, size);
img = img.reshape(1, 1);
trainingImages.push_back(img);
trainingLabels.push_back(Mat.ones(new Size(1, 1), CvType.CV_32S));
}
}
for (File file : new File(imgClassDirectory + "/negatives/").listFiles()) {
if (file.getName().endsWith(".png")) {
Mat img = Imgcodecs.imread(file.getPath());
Imgproc.resize(img, img, size);
img = img.reshape(1, 1);
trainingImages.push_back(img);
trainingLabels.push_back(Mat.zeros(new Size(1, 1), CvType.CV_32S));
}
}
trainingImages.convertTo(trainingData, CvType.CV_32FC1);
trainingLabels.copyTo(classes);
clasificador = SVM.create();
clasificador.setType(SVM.C_SVC);
clasificador.setTermCriteria(new TermCriteria(TermCriteria.MAX_ITER, 100, 1e-6));
clasificador.setKernel(SVM.LINEAR);
clasificador.train(trainingData, Ml.ROW_SAMPLE, trainingLabels);
for (File file : new File(imgClassDirectory + "/samples/").listFiles()) {
if (file.getName().endsWith(".png")) {
Mat img = Imgcodecs.imread(file.getPath());
Imgproc.resize(img, img, size);
img = img.reshape(1, 1);
img.convertTo(img, CvType.CV_32FC1);
System.out.println(file.getName() + " : " + clasificador.predict(img));
}
}
}
}