import com.googlecode.javacpp.Loader;
import com.googlecode.javacv.*;
import com.googlecode.javacv.cpp.*;
import static com.googlecode.javacv.cpp.opencv_core.*;
import static com.googlecode.javacv.cpp.opencv_imgproc.*;
import static com.googlecode.javacv.cpp.opencv_calib3d.*;
import static com.googlecode.javacv.cpp.opencv_objdetect.*;
public class Demo {
public static void main(String[] args) throws Exception {
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 = new CvHaarClassifierCascade(cvLoad(classifierName));
if (classifier.isNull()) {
System.err.println("Error loading classifier file \"" + classifierName + "\".");
System.exit(1);
}
// 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 = new CanvasFrame("Some Title");
// OpenCVFrameGrabber uses opencv_highgui, but other more versatile FrameGrabbers
// include DC1394FrameGrabber, FlyCaptureFrameGrabber, OpenKinectFrameGrabber,
// PS3EyeFrameGrabber, VideoInputFrameGrabber, and FFmpegFrameGrabber.
FrameGrabber grabber = new OpenCVFrameGrabber(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.
// - To get a BufferedImage from an IplImage, you 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();
// 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);
// 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();
// We can allocate native arrays using constructors taking an integer as argument.
CvPoint hatPoints = new CvPoint(3);
// Again, FFmpegFrameRecorder also exists as a more versatile alternative.
FrameRecorder recorder = new OpenCVFrameRecorder("output.avi", width, height);
recorder.start();
while (frame.isVisible() && (grabbedImage = grabber.grab()) != null) {
cvClearMemStorage(storage);
// 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 = new CvRect(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 = new CvSeq(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();
}
cvWarpPerspective(grabbedImage, rotatedImage, randomR);
frame.showImage(rotatedImage);
recorder.record(rotatedImage);
}
recorder.stop();
grabber.stop();
frame.dispose();
}
}
我从示例代码中获取了上述代码并尝试运行它。我提到了如上所述的jar文件。所有的错误和警告都消失了。但是当我运行代码时。
我收到以下错误......
java.lang.UnsatisfiedLinkError: C:\Users\Balachander P\AppData\Local\Temp\jniopencv_core7504532540941704965.dll: Can't find dependent libraries
at java.lang.ClassLoader$NativeLibrary.load(Native Method)
at java.lang.ClassLoader.loadLibrary0(Unknown Source)
at java.lang.ClassLoader.loadLibrary(Unknown Source)
at java.lang.Runtime.load0(Unknown Source)
at java.lang.System.load(Unknown Source)
at com.googlecode.javacpp.Loader.load(Loader.java:352)
at com.googlecode.javacpp.Loader.load(Loader.java:285)
at com.googlecode.javacv.cpp.opencv_core.<clinit>(opencv_core.java:129)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Unknown Source)
at com.googlecode.javacpp.Loader.load(Loader.java:305)
at com.googlecode.javacpp.Loader.load(Loader.java:285)
at com.googlecode.javacv.cpp.opencv_core$CvArr.<clinit>(opencv_core.java:156)
at com.googlecode.javacv.JavaCV.<clinit>(JavaCV.java:88)
我是javacv的新手并且是第一次尝试它。有人可以帮我解决..
答案 0 :(得分：1)
确保OpenCV（* .dll）的库文件可以在其默认安装目录中找到，也可以在Windows中包含当前工作目录的系统PATH中找到。 （有关Windows平台上OpenCV经常遇到的问题的答案，请参阅Windows 7下OpenCV的常见问题。）
http://code.google.com/p/javacv/
检查系统路径
答案 1 :(得分：0)
看起来opencv没有正确链接按照分步说明的链接 http://opencvlover.blogspot.in/2012/04/javacv-setup-with-eclipse-on-windows-7.html