Question

我在java中使用opencv 2.4.10检测到了图像中的面部

我把我的面部检测代码。

import org.opencv.core.Core;
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.core.Size;
import org.opencv.highgui.Highgui;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

public class FaceDetector {

public static void main(String[] args)throws Exception {
    int x,y,height,width;

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    System.out.println("\nRunning FaceDetector");

    //CascadeClassifier faceDetector = new CascadeClassifier(FaceDetector.class.getResource("haarcascade_frontalface_alt.xml").getPath());
    CascadeClassifier faceDetector=new CascadeClassifier();
    faceDetector.load("C:/opencv-2.4.10/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml");
    //System.out.println(""+faceDetector);
   // Mat image = Highgui .imread(FaceDetector.class.getResource("D:/shekar.jpg").getPath());
    Mat image = Highgui .imread("D:/Eclipse - New Juno/New Juno Projects/detectface/man1.jpg");
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

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

    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }
    String filename = "china.jpg";
    System.out.println(String.format("Writing %s", filename));
    Highgui.imwrite(filename, image);


}

}

现在我想裁剪检测到的面部并将其保存为opencv java中的新jpg图像。

裁剪代码

 Rect rectCrop = new Rect(x, y, width, height);
 Mat image_roi = image(rectCrop);
        image_roi.copyTo(cropimage);
        imwrite("cropimage.jpg",image_roi);

错误是

对于FaceDetector类型，方法图像（Rect）未定义对于FaceDetector类型

，方法imwrite（String，Mat）是未定义的

请有人帮我解决这个问题。

由于

Answer 1

import org.opencv.core.Core;
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.core.Size;
import org.opencv.highgui.Highgui;
import static org.opencv.highgui.Highgui.imwrite;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

public class FaceDetector {
    private static Mat cropImage;

public static void main(String[] args)throws Exception {
    int x = 0,y = 0,height = 0,width = 0;

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.out.println("\nRunning FaceDetector");

//CascadeClassifier faceDetector = new       CascadeClassifier(FaceDetector.class.getResource("haarcascade_frontalface_alt.xm    l").getPath());
    CascadeClassifier faceDetector = new CascadeClassifier(Snapshot.class.getResource("haarcascade_frontalface_alt.xml").getPath().substring(1));
Mat image = Highgui.imread("C:\\image.jpg");
faceDetector.detectMultiScale(image, face_Detections);
System.out.println(String.format("Detected %s faces",  face_Detections.toArray().length));
Rect rect_Crop=null;
for (Rect rect : face_Detections.toArray()) {
    Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
            new Scalar(0, 255, 0));
    rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
}



 Mat image_roi = new Mat(image,rectCrop);
  Highgui.imwrite("C:\\cropimage_912.jpg",image_roi);



}}

Answer 2

OpenCV具有您感兴趣的感兴趣区域功能。如果您使用的是cv :: Mat，那么您可以使用以下内容。

// Take your Final Detected Image
image;

// These values need to be your determined face rect values
cv::Rect myROI(x, y,width, height);

// Crop the full image to that image contained by the rectangle myROI
// Note that this doesn't copy the data
cv::Mat croppedImage = image(myROI);

Answer 3

试试这个。这个工作得很好。

import org.opencv.core.Core;
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 FaceDetection
{

    public static void main(String[] args)
    {

        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);


        CascadeClassifier faceDetector = new CascadeClassifier();

 faceDetector.load("D:\\OpenCv\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml");
        System.out.println ( "Working" );
        // Input image
        Mat image = Imgcodecs.imread("D:\\input.jpg");

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

        // Creating a rectangular box showing faces detected
        Rect rectCrop=null;
        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));
            rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
        }

        // Saving the output image
        String filename = "Ouput.jpg";
        Imgcodecs.imwrite("D:\\"+filename, image);

        Mat markedImage = new Mat(image,rectCrop);
        Imgcodecs.imwrite("D:\\cropimage.jpg",markedImage );
    }
}

Answer 4

如何裁剪多个面孔？ dhvani。

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

Mat image_roi = new Mat(image,rectCrop);
    Highgui.imwrite("C:\\cropimage_912.jpg",image_roi);
}}

Answer 5

CarouselPage

这是给那些问如何使用openCV Java裁剪多个面孔的人的。

Answer 6

 Rect[] facesArray = faces.toArray();
    for (int i = 0; i < facesArray.length; i++) {
        Rect rect = facesArray[i];
        Imgproc.rectangle(frame, rect.tl(), rect.br(), new Scalar(0, 255, 0), 2);
        Mat submat = frame.submat(facesArray[i]);
        imwrite("./face" + i + ".jpg", submat);
    }

这似乎是最聪明的方法。

如何在opencv java中裁剪检测到的面部图像

6 个答案: