Java OpenCV错误内存不足和断言失败

Question

I am working in java on a program that uses the opencv library to take a folder of images and crop just the faces. It uses face recognition from opencv. I got it to work, but when I try it with a larger folder of images it stops with these errors:

OpenCV Error: Insufficient memory (Failed to allocate 411068928 bytes) in cv::OutOfMemoryError, file C:\\builds\\master_PackSlaveAddon-win32-vc12-static\\opencv\\modules\\core\\src\\alloc.cpp, line 52 OpenCV Error: Assertion failed (u != 0) in cv::Mat::create, file C:\\builds\\master_PackSlaveAddon-win32-vc12-static\\opencv\\modules\\core\\src\\matrix.cpp, line 411 Exception in thread "main" CvException [org.opencv.core.CvException: cv::Exception: C:\\builds\\master_PackSlaveAddon-win32-vc12-static\\opencv\\modules\\core\\src\\matrix.cpp:411: error: (-215) u != 0 in function cv::Mat::create ] at org.opencv.objdetect.CascadeClassifier.detectMultiScale_1(Native Method) at org.opencv.objdetect.CascadeClassifier.detectMultiScale(CascadeClassifier.java:103) at FaceDetector.main(FaceDetector.java:42)

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

You should release image object too. I would like to suggest to use a try catch finally for proper release.

image.release();

Answer 2

Have you tried to increase the Heap Space ? Have a look here .

The java.lang.OutOfMemoryError: Java heap space error will be triggered when the application attempts to add more data into the heap space area, but there is not enough room for it.