Frame Grabber を使用してビデオをストリーミングし、検出された顔をキャプチャすることができましたが、Frame Grabber クラスから取得した画像を表示したいと考えており、同じフレーム、つまりビデオ ストリームの横に表示する必要があります。
\code を使用して、フレーム グラバー クラスを使用してビデオからフレームをキャプチャします。パッケージ com.ravi.videotoimages;
import static com.googlecode.javacv.cpp.opencv_core.CV_AA;
import static com.googlecode.javacv.cpp.opencv_core.IPL_DEPTH_8U;
import static com.googlecode.javacv.cpp.opencv_core.cvClearMemStorage;
import static com.googlecode.javacv.cpp.opencv_core.cvCreateImage;
import static com.googlecode.javacv.cpp.opencv_core.cvGetSeqElem;
import static com.googlecode.javacv.cpp.opencv_core.cvGetSize;
import static com.googlecode.javacv.cpp.opencv_core.cvLoad;
import static com.googlecode.javacv.cpp.opencv_core.cvPoint;
import static com.googlecode.javacv.cpp.opencv_core.cvRectangle;
import static com.googlecode.javacv.cpp.opencv_core.cvSetImageROI;
import static com.googlecode.javacv.cpp.opencv_highgui.cvLoadImage;
import static com.googlecode.javacv.cpp.opencv_highgui.cvSaveImage;
import static com.googlecode.javacv.cpp.opencv_highgui.cvShowImage;
import static com.googlecode.javacv.cpp.opencv_highgui.cvWaitKey;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_BGR2GRAY;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvCvtColor;
import static com.googlecode.javacv.cpp.opencv_objdetect.CV_HAAR_DO_CANNY_PRUNING;
import static com.googlecode.javacv.cpp.opencv_objdetect.cvHaarDetectObjects;
import com.googlecode.javacpp.Loader;
import com.googlecode.javacv.FrameGrabber;
import com.googlecode.javacv.FrameGrabber.Exception;
import com.googlecode.javacv.OpenCVFrameGrabber;
import com.googlecode.javacv.cpp.opencv_core.CvMemStorage;
import com.googlecode.javacv.cpp.opencv_core.CvRect;
import com.googlecode.javacv.cpp.opencv_core.CvScalar;
import com.googlecode.javacv.cpp.opencv_core.CvSeq;
import com.googlecode.javacv.cpp.opencv_core.IplImage;
import com.googlecode.javacv.cpp.opencv_objdetect;
import com.googlecode.javacv.cpp.opencv_objdetect.CvHaarClassifierCascade;
//import static com.googlecode.javacv.cpp.opencv_highgui.cvNamedWindow;
//import com.googlecode.javacv.CanvasFrame;
//import com.googlecode.javacv.VideoInputFrameGrabber;
public class faceRecongitionwitdetection {
public static final String XML_FILE = "D:\\l\\OpenCV\\haarcascade_frontalface_default.xml";
private static final int SCALE = 1;
@SuppressWarnings("unused")
private static boolean isRunning = true;
@SuppressWarnings("unused")
public static void main(String[] args) throws Exception {
// CanvasFrame canvas = new CanvasFrame("Camera");
// canvas.setDefaultCloseOperation(CanvasFrame.EXIT_ON_CLOSE);
// canvas.addWindowListener(new SetBoolean());
IplImage image;
FrameGrabber grabber = new OpenCVFrameGrabber("D:\\l\\OpenCV\\jobs.mp4");
if (grabber == null) {
System.out.println("!!! Failed OpenCVFrameGrabber");
return;
}
try {
grabber.start();
IplImage frame = null;
int i = 1;
int frame_counter = 1;
while (true) {
frame = grabber.grab();
if (frame == null) {
System.out.println("!!! Failed grab");
break;
}
IplImage grayImg = cvCreateImage(cvGetSize(frame),
IPL_DEPTH_8U, 1);
cvCvtColor(frame, grayImg, CV_BGR2GRAY);
if ((frame_counter % 500) == 0) {
// cvSaveImage(i + "teja.jpg", grayImg);
detect(grayImg);
cvShowImage("Result", grayImg);
cvSaveImage(i + "teja.jpg", grayImg);
String xyz = i + "teja.jpg";
detector(xyz);
}
int key = cvWaitKey(1);
if (key == 100) {
break;
}
frame_counter++;
i++;
}
} catch (Exception e) {
System.out.println("!!! Exception");
}
}
public static void detect(IplImage src) {
// IplImage grayImg = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
// cvCvtColor(src, grayImg, CV_BGR2GRAY);
CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(
cvLoad(XML_FILE));
CvMemStorage storage = CvMemStorage.create();
CvSeq sign = cvHaarDetectObjects(src, cascade, storage, 3, 2,
CV_HAAR_DO_CANNY_PRUNING);
cvClearMemStorage(storage);
int total_Faces = sign.total();
for (int i = 0; i < total_Faces; i++) {
CvRect r = new CvRect(cvGetSeqElem(sign, i));
cvRectangle(src, cvPoint(r.x(), r.y()),
cvPoint(r.width() + r.x(), r.height() + r.y()),
CvScalar.GREEN, 3, CV_AA, 0);
}
}
public static void detector(String grab) {
if (grab.length() < 0) {
System.out.println("No Input File");
return;
}
System.out.println("Starting OpenCV...");
// preload the opencv_objdetect module to work around a known bug
Loader.load(opencv_objdetect.class);
// load an image
System.out.println("Loading image from " + grab);
IplImage origImg = cvLoadImage(grab);
IplImage grayImg = cvCreateImage(cvGetSize(origImg), IPL_DEPTH_8U, 1);
cvCvtColor(origImg, grayImg, CV_BGR2GRAY);
CvMemStorage storage = CvMemStorage.create();
CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(
cvLoad(XML_FILE));
System.out.println("Detecting faces...");
CvSeq faces = cvHaarDetectObjects(grayImg, cascade, storage, 3, 2,
CV_HAAR_DO_CANNY_PRUNING);
cvClearMemStorage(storage);
// iterate over the faces and draw yellow rectangles around them
int total = faces.total();
System.out.println("Found " + total + " face(s)");
for (int i = 0; i < total; i++) {
CvRect r = new CvRect(cvGetSeqElem(faces, i));
cvSetImageROI(grayImg, r);
cvRectangle(grayImg, cvPoint(r.x() * SCALE, r.y() * SCALE), // undo
// the
// scaling
cvPoint((r.x() + r.width()) * SCALE, (r.y() + r.height())
* SCALE), CvScalar.BLUE, 6, CV_AA, 0);
if (total > 0) {
// int j=1;
System.out.println("Saving marked-faces version of " + grab
+ " in " + grab);
cvSaveImage(grab, grayImg);
}
}
}
}
どうすればそれを成し遂げることができますか。どんな提案もいただければ幸いです。ありがとうございました。