Java 使用opencv进行人脸检测，给出一个异常

我尝试在java中使用opencv进行人脸检测。我的代码是：

            String CASCADE_FILE ="C:/Users/admin/Desktop/javacv/src/javacv/lbpcascade_frontalface.xml";
            String OUT_FILE = "markedFaces.jpg";

            IplImage origImg = cvLoadImage("C:/Users/admin/Desktop/javacv/src/javacv/lena.png", 1);
            //IplImage origImg = cvLoadImage(args[0]);

            // convert to grayscale
            IplImage grayImg = IplImage.create(origImg.width(),origImg.height(), IPL_DEPTH_8U, 1);
            cvCvtColor(origImg, grayImg, CV_BGR2GRAY);

            // scale the grayscale (to speed up face detection)
            IplImage smallImg = IplImage.create(grayImg.width()/SCALE,grayImg.height()/SCALE, IPL_DEPTH_8U, 1);
            cvResize(grayImg, smallImg, CV_INTER_LINEAR);

            // equalize the small grayscale
            IplImage equImg = IplImage.create(smallImg.width(),smallImg.height(), IPL_DEPTH_8U, 1);
            cvEqualizeHist(smallImg, equImg);

            // create temp storage, used during object detection
            CvMemStorage storage = CvMemStorage.create();

            // instantiate a classifier cascade for face detection

            CvHaarClassifierCascade cascade =new CvHaarClassifierCascade(cvLoad(CASCADE_FILE));
            System.out.println("Detecting faces...");

            CvSeq faces = cvHaarDetectObjects(equImg, cascade, storage,1.1, 3, CV_HAAR_DO_CANNY_PRUNING);

            cvClearMemStorage(storage);

            // draw thick yellow rectangles around all the faces
            int total = faces.total();
            System.out.println("Found " + total + " face(s)");

            for (int i = 0; i < total; i++) {

                    CvRect r = new CvRect(cvGetSeqElem(faces, i));
                    cvRectangle(origImg, cvPoint( r.x()*SCALE, r.y()*SCALE ),cvPoint( (r.x() + r.width())*SCALE,(r.y() + r.height())*SCALE ),CvScalar.RED, 6, CV_AA, 0);

                    String strRect = String.format("CvRect(%d,%d,%d,%d)", r.x(), r.y(), r.width(), r.height());

                    System.out.println(strRect);
                    //undo image scaling when calculating rect coordinates
            }

            if (total > 0) {
                    System.out.println("Saving marked-faces version of " + " in " + OUT_FILE);

                    cvSaveImage(OUT_FILE, origImg);
            }

如何克服它，因为我找不到任何解决方法。请帮助尝试此代码

private static final String CASCADE_FILE = "./others/haarcascade_frontalface_alt.xml";

public FaceDetection(String inputFile, String outputFile) throws Exception {


    // Load the original image.
    IplImage originalImage = cvLoadImage(inputFile, 1);
    // We need a grayscale image in order to do the recognition, so we create a new    image of the same size as the original one.
    IplImage grayImage = IplImage.create(originalImage.width(),originalImage.height(), IPL_DEPTH_8U, 1);
    // We convert the original image to grayscale.
    cvCvtColor(originalImage, grayImage, CV_BGR2GRAY);
    CvMemStorage storage = CvMemStorage.create();
    // We instantiate a classifier cascade to be used for detection, using the cascade  definition
    CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(CASCADE_FILE));
    // We detect the faces.
    CvSeq faces = cvHaarDetectObjects(grayImage, cascade, storage, 1.1, 1, 0);
    // We iterate over the discovered faces and draw yellow rectangles around them.
    for (int i = 0; i < faces.total(); i++) {
        CvRect r = new CvRect(cvGetSeqElem(faces, i));
        cvRectangle(originalImage, cvPoint(r.x(), r.y()), cvPoint(r.x() + r.width(),   r.y() + r.height()), CvScalar.RED, 1, CV_AA, 0);
    }

    // Save the image to a new file.
    cvSaveImage(outputFile, originalImage);
}

private static final String CASCADE_FILE=“/others/haarcascade_frontalface_alt.xml”；
公共面检测（字符串输入文件、字符串输出文件）引发异常{
//加载原始图像。
IplImage originalImage=cvLoadImage（输入文件，1）；
//我们需要一个灰度图像来进行识别，所以我们创建一个与原始图像大小相同的新图像。
IplImage grayImage=IplImage.create（originalImage.width（）、originalImage.height（）、IPL_DEPTH_8U，1）；
//我们将原始图像转换为灰度。
CVT颜色（原始图像、灰度图像、CV_BGR2GRAY）；
CvMemStorage=CvMemStorage.create（）；
//我们使用级联定义实例化一个用于检测的分类器级联
CvHaarClassifierCascade cascade=新的CvHaarClassifierCascade（cvLoad（cascade_文件））；
//我们发现了这些面孔。
CvSeq faces=cvhaardetecobjects（灰度图像、级联、存储、1.1、1、0）；
//我们在发现的面上迭代，并在其周围绘制黄色矩形。
对于（int i=0；i

当我尝试制作一个检测人脸的应用程序时，我也遇到了同样的问题。我用过。解析XML模型时出现问题。我用这个模型。然后我工作得很好

@DonChakkappn输入文件和输出文件字符串以及原始图像是什么？您在CASCADE_文件中给出的路径是什么？我正在使用netbeans。请帮助您仅提供输入图像的路径和输出图像的路径作为参数。输出图像将是输入图像的副本，并标记面。添加“haarcascade_frontalface_alt.xml”在项目文件夹中，然后将第一行更新为私有静态最终字符串CASCADE\u FILE=“haarcascade\u frontalface\u alt.xml”；另外，如何使用此代码进行人脸识别？请提供帮助。@user3509463您是否通过使用上述代码获得人脸检测的输出？。如果您想实现人脸识别，请通过此链接

private static final String CASCADE_FILE = "./others/haarcascade_frontalface_alt.xml";

public FaceDetection(String inputFile, String outputFile) throws Exception {


    // Load the original image.
    IplImage originalImage = cvLoadImage(inputFile, 1);
    // We need a grayscale image in order to do the recognition, so we create a new    image of the same size as the original one.
    IplImage grayImage = IplImage.create(originalImage.width(),originalImage.height(), IPL_DEPTH_8U, 1);
    // We convert the original image to grayscale.
    cvCvtColor(originalImage, grayImage, CV_BGR2GRAY);
    CvMemStorage storage = CvMemStorage.create();
    // We instantiate a classifier cascade to be used for detection, using the cascade  definition
    CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(CASCADE_FILE));
    // We detect the faces.
    CvSeq faces = cvHaarDetectObjects(grayImage, cascade, storage, 1.1, 1, 0);
    // We iterate over the discovered faces and draw yellow rectangles around them.
    for (int i = 0; i < faces.total(); i++) {
        CvRect r = new CvRect(cvGetSeqElem(faces, i));
        cvRectangle(originalImage, cvPoint(r.x(), r.y()), cvPoint(r.x() + r.width(),   r.y() + r.height()), CvScalar.RED, 1, CV_AA, 0);
    }

    // Save the image to a new file.
    cvSaveImage(outputFile, originalImage);
}