OpenCV - Detecção de rosto usando câmera
O programa a seguir demonstra como detectar faces usando a câmera do sistema e exibi-la usando a janela JavaFX.
Exemplo
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);
}
}
Resultado
Ao executar o programa, você obterá a seguinte saída.
Se você abrir o caminho especificado, poderá ver o mesmo instantâneo salvo como um jpg imagem.