java opencv错误内存不足，断言失败

Question

我正在用java开发一个程序，该程序使用opencv库获取一个图像文件夹并裁剪人脸。它使用了OpenCV中的人脸识别。我使用了它，但当我尝试使用更大的图像文件夹时，它会出现以下错误：

OpenCV错误：Cv::OutOfMemoryError中内存不足（无法分配411068928字节），文件C:\builds\master_packslaveAddon-Win32-VC12-static\OpenCV\module\core\src\alloc.cpp,第52行OpenCV错误：Cv::mat::create中断言失败（u！=0)，文件C:\builds\master_packslaveAddon-Win32-VC12-static\OpenCV\module\core\src\matrix.cpp,线程“main”CvException[org.OpenCV.core.CvException:c:\builds\master_packslaveAddon-Win32-VC12-static VC12-static\OpenCV\modules\core\src\matrix.cpp:411:错误：（-215）在org.OpenCV.objdetect.cascadeClassifier.detectmultiscale_1（本机方法）（org.OpenCV.objdetect.cascadeClassifier.detectmultiscale（cascadeClassifier.java:103)（faceDetector.main（faceDetector.java:42)中函数cv：：mat：：create）中u！=0

import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.io.File;
import java.io.IOException;

import javax.imageio.ImageIO;
import javax.swing.plaf.synth.SynthSeparatorUI;

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

public class FaceDetector {
    public static void main(String[] args) throws IOException {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    System.out.println("\nRunning FaceDetector");

    CascadeClassifier faceDetector = new CascadeClassifier("C:/Users/Family/workspace/detect face/haarcascade_frontalface_alt.xml");

    File folder = new File("C:\\Users\\Family\\Downloads\\Photos (4)");
    File[] listOfFiles = folder.listFiles();

    for (int j = 0; j < listOfFiles.length; j++) {
        System.out.println(listOfFiles[j]);
    }

    for (int i = 0; i < listOfFiles.length-1; i++){
        String picname = listOfFiles[i].toString();

        System.out.println("reading: " + listOfFiles[i]);

        Mat image = Imgcodecs.imread(picname);

        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);

        System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));


        for (Rect rect : faceDetections.toArray()) {
            Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar (0, 255, 0));
        }

        Rect recta = new Rect();

        for (Rect rect : faceDetections.toArray()) {
            recta.x = rect.x;
            recta.y = rect.y;
            recta.width = rect.width;
            recta.height = rect.height;
        }


        if (faceDetections.toArray().length == 1) {
            BufferedImage picture = ImageIO.read(new File(picname));
            BufferedImage croppedImage = picture.getSubimage(recta.x, recta.y, recta.width, recta.height);

//              File finalCropped = new     File(listOfFiles[i].toString()+"cropped.jpg");
            File finalCropped = new File("C:/Users/Family/Downloads/CroppedImages/" + "cropped" + (i + 140) + ".jpg");

            ImageIO.write(croppedImage, "jpg", finalCropped);

            System.out.println("Cropping " + i + "/" + listOfFiles.length);

        }

        faceDetections.release();
    }
    System.out.println("Process complete.");

}
}

Answer 1

您还应该释放image对象。我想建议使用一个try catch finally来进行适当的释放。

image.release();