如何在opencv中裁剪检测到的人脸图像java

Question

我在 java

中使用 opencv 2.4.10 检测到图像中的人脸

我把我的人脸检测代码。

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人脸并在opencv中将其保存为新的jpg图像java。

裁剪代码为

 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

FaceDetector 类型未定义方法 image(Rect) FaceDetector

类型未定义方法 imwrite(String, Mat)

请任何人帮助我解决这个问题。

谢谢

Answer 1

OpenCV 具有您可能会发现有用的感兴趣区域函数。如果你使用的是 cv::Mat 那么你可以使用类似下面的东西。

// 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 2

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 3

如何裁剪多张脸？ 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 4

试试这个。这个很好用。

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 5

 int detectedFaces = faceDetections.toArray().length;
        Rect rect_Crop=null;

        // Draw a bounding box around each face.
        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_Crop = new Rect(rect.x, rect.y, rect.width, rect.height);


            Mat image_roi = new Mat(image,rect_Crop);
            StringBuilder sb = new StringBuilder("outputimage");
            sb.append(detectedFaces).append(".jpg");
            Imgcodecs.imwrite(sb.toString(),image_roi);
            detectedFaces--;
        }

这适用于询问如何使用 openCV 裁剪多张面孔的人 java。

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);
    }

这看起来是最聪明的方法。

如何在opencv中裁剪检测到的人脸图像java

how to crop the detected face image in opencv java

java

opencv