64-bit version of the JDK: C:\opencv\build\common\tbb\intel64\vc10\;C:\opencv\build\x64\vc10\bin\; 32-bit version of the JDK: C:\opencv\build\common\tbb\ia32\vc10\;C:\opencv\build\x86\vc10\bin\;
publicclassDemo{ publicstaticvoid main(String[] args)throwsException{ String classifierName =null; if(args.length >0){ classifierName = args[0]; }else{ System.err.println("Please provide the path to \"haarcascade_frontalface_alt.xml\"."); System.exit(1); }
// Preload the opencv_objdetect module to work around a known bug. Loader.load(opencv_objdetect.class);
// We can "cast" Pointer objects by instantiating a new object of the desired class. CvHaarClassifierCascade classifier =newCvHaarClassifierCascade(cvLoad(classifierName)); if(classifier.isNull()){ System.err.println("Error loading classifier file \""+ classifierName +"\"."); System.exit(1); }
// The available FrameGrabber classes include OpenCVFrameGrabber (opencv_highgui), // DC1394FrameGrabber, FlyCaptureFrameGrabber, OpenKinectFrameGrabber, // PS3EyeFrameGrabber, VideoInputFrameGrabber, and FFmpegFrameGrabber. FrameGrabber grabber =FrameGrabber.createDefault(0); grabber.start();
// FAQ about IplImage: // - For custom raw processing of data, getByteBuffer() returns an NIO direct // buffer wrapped around the memory pointed by imageData, and under Android we can // also use that Buffer with Bitmap.copyPixelsFromBuffer() and copyPixelsToBuffer(). // - To get a BufferedImage from an IplImage, we may call getBufferedImage(). // - The createFrom() factory method can construct an IplImage from a BufferedImage. // - There are also a few copy*() methods for BufferedImage<->IplImage data transfers. IplImage grabbedImage = grabber.grab(); int width = grabbedImage.width(); int height = grabbedImage.height(); IplImage grayImage =IplImage.create(width, height, IPL_DEPTH_8U,1); IplImage rotatedImage = grabbedImage.clone();
// Objects allocated with a create*() or clone() factory method are automatically released // by the garbage collector, but may still be explicitly released by calling release(). // You shall NOT call cvReleaseImage(), cvReleaseMemStorage(), etc. on objects allocated this way. CvMemStorage storage =CvMemStorage.create();
// The OpenCVFrameRecorder class simply uses the CvVideoWriter of opencv_highgui, // but FFmpegFrameRecorder also exists as a more versatile alternative. FrameRecorder recorder =FrameRecorder.createDefault("output.avi", width, height); recorder.start();
// CanvasFrame is a JFrame containing a Canvas component, which is hardware accelerated. // It can also switch into full-screen mode when called with a screenNumber. CanvasFrame frame =newCanvasFrame("Some Title",CanvasFrame.getDefaultGamma()/grabber.getGamma());
// Let's create some random 3D rotation... CvMat randomR =CvMat.create(3,3), randomAxis =CvMat.create(3,1); // We can easily and efficiently access the elements of CvMat objects // with the set of get() and put() methods. randomAxis.put((Math.random()-0.5)/4,(Math.random()-0.5)/4,(Math.random()-0.5)/4); cvRodrigues2(randomAxis, randomR,null); double f =(width + height)/2.0; randomR.put(0,2, randomR.get(0,2)*f); randomR.put(1,2, randomR.get(1,2)*f); randomR.put(2,0, randomR.get(2,0)/f); randomR.put(2,1, randomR.get(2,1)/f); System.out.println(randomR);
// We can allocate native arrays using constructors taking an integer as argument. CvPoint hatPoints =newCvPoint(3);
// Let's try to detect some faces! but we need a grayscale image... cvCvtColor(grabbedImage, grayImage, CV_BGR2GRAY); CvSeq faces = cvHaarDetectObjects(grayImage, classifier, storage, 1.1,3, CV_HAAR_DO_CANNY_PRUNING); int total = faces.total(); for(int i =0; i < total; i++){ CvRect r =newCvRect(cvGetSeqElem(faces, i)); int x = r.x(), y = r.y(), w = r.width(), h = r.height(); cvRectangle(grabbedImage, cvPoint(x, y), cvPoint(x+w, y+h),CvScalar.RED,1, CV_AA,0);
// To access the elements of a native array, use the position() method. hatPoints.position(0).x(x-w/10).y(y-h/10); hatPoints.position(1).x(x+w*11/10).y(y-h/10); hatPoints.position(2).x(x+w/2).y(y-h/2); cvFillConvexPoly(grabbedImage, hatPoints.position(0),3,CvScalar.GREEN, CV_AA,0); }
// Let's find some contours! but first some thresholding... cvThreshold(grayImage, grayImage,64,255, CV_THRESH_BINARY);
// To check if an output argument is null we may call either isNull() or equals(null). CvSeq contour =newCvSeq(null); cvFindContours(grayImage, storage, contour,Loader.sizeof(CvContour.class), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE); while(contour !=null&&!contour.isNull()){ if(contour.elem_size()>0){ CvSeq points = cvApproxPoly(contour,Loader.sizeof(CvContour.class), storage, CV_POLY_APPROX_DP, cvContourPerimeter(contour)*0.02,0); cvDrawContours(grabbedImage, points,CvScalar.BLUE,CvScalar.BLUE,-1,1, CV_AA); } contour = contour.h_next(); }
