Javacv人脸识别

Question

我试图在javacv中使用FaceRecognition。但是当我有超过5张火车图像时，我会得到这样的错误：

Java Environment:EXCEPTION_ACCESS_VIOLATION (0xc00005)在pc=0x6a30b400、pid=4856、tid=32JRE版本: Java(TM) SE运行时环境(7.0_51-b13) (build 1.7.0_51-b13)Java : Java (TM)客户端VM (24.51-b03混合模式，共享windows-x86 )中检测到一个致命错误:C opencv_core246.dll+0x4b400Failed编写内核转储。默认情况下，在保存了更多信息的as:C:\Users\reco\workspace\hellow\hs_err_pid4856.logIf WindowsAn错误报告文件的客户端版本上不启用微型转储--您想要提交一个bug报告，请访问：http://bugreport.sun.com/bugreport/crash.jsp本地code.See问题框架中的Java之外发生的崩溃，以便在何处报告该错误。

这是我的密码：

import com.googlecode.javacv.cpp.opencv_core;
import static com.googlecode.javacv.cpp.opencv_highgui.*;
import static com.googlecode.javacv.cpp.opencv_core.*;
import static com.googlecode.javacv.cpp.opencv_imgproc.*;
import static com.googlecode.javacv.cpp.opencv_contrib.*;
import java.io.File;
import java.io.FilenameFilter;

public class OpenCVFaceRecognizer {
public static void main(String[] args) {
    String trainingDir = "C:/Users/reco/workspace/hellow";

    IplImage testImage = cvLoadImage("C:/Users/reco/workspace/0.png");

    File root = new File(trainingDir);

    FilenameFilter pngFilter = new FilenameFilter() {
        public boolean accept(File dir, String name) {
            return name.toLowerCase().endsWith(".png");
        }
    };

    File[] imageFiles = root.listFiles(pngFilter);

     MatVector images = new MatVector(imageFiles.length);

    int[] labels = new int[imageFiles.length];

    int counter = 0;
    int label;

    IplImage img;
    IplImage grayImg;

    for (File image : imageFiles) {
        img = cvLoadImage(image.getAbsolutePath());
        String temp= image.getName();
        label = Integer.parseInt(temp.charAt(0)+"");

        grayImg = IplImage.create(img.width(), img.height(), IPL_DEPTH_8U, 1);

        cvCvtColor(img, grayImg, CV_BGR2GRAY);

        images.put(counter, grayImg);

        labels[counter] = label;

        counter++;
    }

    IplImage greyTestImage = IplImage.create(testImage.width(), testImage.height(), IPL_DEPTH_8U, 1);

    //FaceRecognizer faceRecognizer = createFisherFaceRecognizer();
     FaceRecognizer faceRecognizer = createEigenFaceRecognizer();
    // FaceRecognizer faceRecognizer = createLBPHFaceRecognizer()

    faceRecognizer.train(images, labels);

    cvCvtColor(testImage, greyTestImage, CV_BGR2GRAY);

    int predictedLabel = faceRecognizer.predict(greyTestImage);

    System.out.println("Predicted label: " + predictedLabel);
}
}

编辑：：我刚删除

    grayImg = IplImage.create(img.width(), img.height(), IPL_DEPTH_8U, 1);

    cvCvtColor(img, grayImg, CV_BGR2GRAY);

它起了作用:)

Answer 1

    IplImage img;
    IplImage grayImg=null;

    for (File image : imageFiles) {
        img = cvLoadImage(image.getAbsolutePath(),CV_BGR2GRAY);
        int yer = image.getName().indexOf(".");
        String isim=image.getName().substring(0,yer);

        label = Integer.parseInt(isim);

        images.put(counter, img);

        labels[counter] = label;

        counter++;
    }

这是我的代码的最终结果，它的工作原理就像一种魅力:)