Question

我试图将FaceRecognition与javacv一起使用。但是当我有超过5张火车图像时，我收到了这个错误：

#Java Runtime Environment检测到致命错误：
  ＃
  #EXCEPTION_ACCESS_VIOLATION（0xc0000005）在pc = 0x6a30b400，pid = 4856，tid = 32
  ＃
  #JRE版本：Java（TM）SE运行时环境（7.0_51-b13）（版本1.7.0_51-b13）
  #Java VM：Java HotSpot（TM）客户端VM（24.51-b03混合模式，共享windows-x86）
  ＃有问题的框架：
  #C [opencv_core246.dll + 0x4b400]
  ＃
  ＃无法编写核心转储。默认情况下，在Windows的客户端版本上未启用小型转储   ＃
  ＃包含更多信息的错误报告文件保存为：
  ＃C：\ Users \ reco \ workspace \ hellow \ hs_err_pid4856.log
  ＃
  ＃如果您想提交错误报告，请访问：
  ＃http://bugreport.sun.com/bugreport/crash.jsp
  ＃崩溃发生在Java虚拟机外部的本机代码中   ＃查看有问题的框架，了解报告错误的位置   ＃

这是我的代码：

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);

它有效：）

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++;
    }

这是我的代码的最后一个，它就像一个魅力：）

Javacv面部识别

1 个答案: