come ritagliare l'immagine del volto rilevato in OpenCV java

Question

ho rilevato il volto nell'immagine utilizzando OpenCV 2.4.10 in java

ho messo il mio codice di rilevamento del volto.

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); 


} 

}

Ora voglio ritagliare il viso rilevato e salvarla nuova immagine jpg in OpenCV Java come.

codice colture è

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

L'errore è

L'immagine metodo (Rect) è definito per il tipo FaceDetector Procedimento imwrite (String, Mat) è definito per il tipo FaceDetector

Per favore qualcuno mi aiuti a risolvere questo.

Grazie

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 ha regione di funzioni di interesse che si possono trovare utili. Se stai usando il cv :: Mat allora potresti usare qualcosa come il seguente.

// 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

Come tagliare più facce? 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

Prova questa. Questo funziona bene.

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); 
    } 
}