OpenCV — распознавание лиц с помощью камеры

Следующая программа демонстрирует, как распознавать лица с помощью системной камеры и отображать ее с помощью окна JavaFX.

пример

import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.awt.image.WritableRaster;

import java.io.FileNotFoundException;
import java.io.IOException;

import javafx.application.Application;
import javafx.embed.swing.SwingFXUtils;
import javafx.scene.Group;
import javafx.scene.Scene;
import javafx.scene.image.ImageView;
import javafx.scene.image.WritableImage;
import javafx.stage.Stage;

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;
import org.opencv.videoio.VideoCapture;

public class faceDetectionJavaFXX extends Application {
   Mat matrix = null;

   @Override
   public void start(Stage stage) throws FileNotFoundException, IOException {
      // Capturing the snapshot from the camera
      faceDetectionJavaFXX obj = new faceDetectionJavaFXX();
      WritableImage writableImage = obj.capureFrame();

      // Saving the image
      obj.saveImage();

      // Setting the image view
      ImageView imageView = new ImageView(writableImage);

      // setting the fit height and width of the image view
      imageView.setFitHeight(400);
      imageView.setFitWidth(600);

      // Setting the preserve ratio of the image view
      imageView.setPreserveRatio(true);

      // Creating a Group object
      Group root = new Group(imageView);

      // Creating a scene object
      Scene scene = new Scene(root, 600, 400);

      // Setting title to the Stage
      stage.setTitle("Capturing an image");

      // Adding scene to the stage
      stage.setScene(scene);

      // Displaying the contents of the stage
      stage.show();
   }
   public WritableImage capureFrame() {
      WritableImage writableImage = null;

      // Loading the OpenCV core library
      System.loadLibrary( Core.NATIVE_LIBRARY_NAME );

      // Instantiating the VideoCapture class (camera:: 0)
      VideoCapture capture = new VideoCapture(0);

      // Reading the next video frame from the camera
      Mat matrix = new Mat();
      capture.read(matrix);

      // If camera is opened
      if(!capture.isOpened()) {
         System.out.println("camera not detected");
      } else
         System.out.println("Camera detected ");
           
      // If there is next video frame
      if (capture.read(matrix)) {
         /////// Detecting the face in the snap /////
         String file = "E:/OpenCV/facedetect/lbpcascade_frontalface.xml";
         CascadeClassifier classifier = new CascadeClassifier(file);

         MatOfRect faceDetections = new MatOfRect();
         classifier.detectMultiScale(matrix, faceDetections);
         System.out.println(String.format("Detected %s faces",
            faceDetections.toArray().length));

         // Drawing boxes
         for (Rect rect : faceDetections.toArray()) {
            Imgproc.rectangle(
               matrix,                                   //where to draw the box
               new Point(rect.x, rect.y),                            //bottom left
               new Point(rect.x + rect.width, rect.y + rect.height), //top right
               new Scalar(0, 0, 255)                                 //RGB colour
            );
         }
         // Creating BuffredImage from the matrix
         BufferedImage image = new BufferedImage(matrix.width(), matrix.height(),
            BufferedImage.TYPE_3BYTE_BGR);
         
         WritableRaster raster = image.getRaster();
         DataBufferByte dataBuffer = (DataBufferByte) raster.getDataBuffer();
         byte[] data = dataBuffer.getData();
         matrix.get(0, 0, data);

         this.matrix = matrix;
           
         // Creating the Writable Image
         writableImage = SwingFXUtils.toFXImage(image, null);
      }
      return writableImage;
   }
   public void saveImage() {
      // Saving the Image
      String file = "E:/OpenCV/chap23/facedetected.jpg";

      // Instantiating the imagecodecs class
      Imgcodecs imageCodecs = new Imgcodecs();

      // Saving it again
      imageCodecs.imwrite(file, matrix);
   }
   public static void main(String args[]) {
      launch(args);
   }
}

Выход

При выполнении программы вы получите следующий вывод.

Если вы откроете указанный путь, вы увидите тот же моментальный снимок, сохраненный как изображение jpg .