Hey guys, I'm recently learning OpenCV. I met a problem when I want to recognize a face using the FaceRecognizer function. I tried to train the classifier with the sample from internet(from yale), but I keep getting wrong prediction (in fact it only output category "1") when I input one of the training picture as test sample. Could anyone give me some hint? I attached my code below. Thanks a lot!
(I think the problem might be the training samples as they are already grayscaled. I grayscaled them again because the error "bad arguement, size(1,30000), (10000,66)...." thing shows up If I don't do so.)
import org.opencv.face.FaceRecognizer;
import org.opencv.core.Mat;
import org.opencv.core.MatOfInt;
import org.opencv.core.*;
import org.opencv.face.Face;
import org.opencv.imgcodecs.Imgcodecs;
import java.io.File;
import java.io.FilenameFilter;
import java.util.List;
import java.util.ArrayList;
import org.opencv.imgproc.Imgproc;
public class FaceRecognization {
public static void main(String[] args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
String trainingDir = "C:\\Users\\songli\\Desktop\\yale\\train";
String testImgPath = "C:\\Users\\songli\\Desktop\\yale\\5-6.bmp";
Mat testImg = Imgcodecs.imread(testImgPath);
Mat gray = new Mat();
File root = new File(trainingDir);
FilenameFilter bmpFilter = new FilenameFilter(){
public boolean accept(File dir, String name){
return name.toLowerCase().endsWith(".bmp");
}
};
File[] imageFiles = root.listFiles(bmpFilter);
List<Mat> list = new ArrayList<Mat>(imageFiles.length);
int[] labels = new int[imageFiles.length];
int counter = 0;
int label;
Mat grayImg = new Mat();
Mat grayTestImg = new Mat();
Mat img = new Mat();
for(File image : imageFiles){
img = Imgcodecs.imread(image.getAbsolutePath());
//System.out.print(img.elemSize());
label = Integer.parseInt(image.getName().split("\\-")[0]);
grayImg.create(img.width(), img.height(),1);
Imgproc.cvtColor(img, grayImg, Imgproc.COLOR_BGR2GRAY);
list.add(grayImg);
labels[counter] = label;
counter++;
}
//System.out.print(labels[11]);
MatOfInt labels1 = new MatOfInt();
labels1.fromArray(labels);
FaceRecognizer fr = Face.createEigenFaceRecognizer();
fr.train(list,labels1);
grayTestImg.create(testImg.width(),testImg.height(),1);
Imgproc.cvtColor(testImg,grayTestImg,Imgproc.COLOR_BGR2GRAY);
int predictedlabel = fr.predict_label(grayTestImg);
//Imgcodecs.imwrite("C:\\Users\\songli\\Desktop\\testImg.jpg", testImg);
//int[] predLabel = new int[1];
//double[] confidence = new double[1];
//int result = -1;
//fr.predict(testImgGrey,predLabel,confidence);
//result = predLabel[0];
System.out.println("Predicted label: " + predictedlabel);
}
}