java类org.opencv.core.MatOfInt的实例源码

/**
 * Opens a new camera using openCV at a certain device index with 
 * a given frame width and height, and a compression quality.
 * 
 * @param cam the device index from 0.
 * @param width the frame width
 * @param height the frame height
 * @param quality the compression quality
 * 
 * @throws RuntimeException if the camera could not be opened
 */
public CvCamera(int cam, int width, int height, int quality){
    capture = new VideoCapture();
    capture.open(cam);
    if(!capture.isOpened())
        throw new RuntimeException("Unable to open camera " + cam);

    image = new Mat();
    buffer = new MatOfByte();
    compressParams = new MatOfInt(Imgcodecs.CV_IMWRITE_JPEG_QUALITY, quality);
    capture.set(Videoio.CAP_PROP_FRAME_WIDTH, width);
    capture.set(Videoio.CAP_PROP_FRAME_HEIGHT, height);

    camIndex = cam;
    this.quality = quality;
}

public static void mixChannels(List<Mat> src, List<Mat> dst, MatOfInt fromTo)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
    Mat fromTo_mat = fromTo;
    mixChannels_0(src_mat.nativeObj, dst_mat.nativeObj, fromTo_mat.nativeObj);

    return;
}

public static void convexHull(MatOfPoint points, MatOfInt hull)
{
    Mat points_mat = points;
    Mat hull_mat = hull;
    convexHull_1(points_mat.nativeObj, hull_mat.nativeObj);

    return;
}

public static void groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold)
{
    Mat rectList_mat = rectList;
    Mat weights_mat = weights;
    groupRectangles_1(rectList_mat.nativeObj, weights_mat.nativeObj, groupThreshold);

    return;
}

public  void getVoronoiFacetList(MatOfInt idx, List<MatOfPoint2f> facetList, MatOfPoint2f facetCenters)
{
    Mat idx_mat = idx;
    Mat facetList_mat = new Mat();
    Mat facetCenters_mat = facetCenters;
    getVoronoiFacetList_0(nativeObj, idx_mat.nativeObj, facetList_mat.nativeObj, facetCenters_mat.nativeObj);
    Converters.Mat_to_vector_vector_Point2f(facetList_mat, facetList);
    facetList_mat.release();
    return;
}

public  void getLeadingEdgeList(MatOfInt leadingEdgeList)
{
    Mat leadingEdgeList_mat = leadingEdgeList;
    getLeadingEdgeList_0(nativeObj, leadingEdgeList_mat.nativeObj);

    return;
}

public static void calcHist(List<Mat> images, MatOfInt channels, Mat mask, Mat hist, MatOfInt histSize, MatOfFloat ranges)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat channels_mat = channels;
    Mat histSize_mat = histSize;
    Mat ranges_mat = ranges;
    calcHist_1(images_mat.nativeObj, channels_mat.nativeObj, mask.nativeObj, hist.nativeObj, histSize_mat.nativeObj, ranges_mat.nativeObj);

    return;
}

public  void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights)
{
    Mat objects_mat = objects;
    Mat rejectLevels_mat = rejectLevels;
    Mat levelWeights_mat = levelWeights;
    detectMultiScale3_1(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);

    return;
}

public  void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections)
{
    Mat objects_mat = objects;
    Mat numDetections_mat = numDetections;
    detectMultiScale2_1(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj);

    return;
}

public  void getMemoryConsumption(int layerId, MatOfInt netInputShape, long[] weights, long[] blobs)
{
    Mat netInputShape_mat = netInputShape;
    double[] weights_out = new double[1];
    double[] blobs_out = new double[1];
    getMemoryConsumption_1(nativeObj, layerId, netInputShape_mat.nativeObj, weights_out, blobs_out);
    if(weights!=null) weights[0] = (long)weights_out[0];
    if(blobs!=null) blobs[0] = (long)blobs_out[0];
    return;
}

public  void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
    Mat objects_mat = objects;
    Mat numDetections_mat = numDetections;
    detectMultiScale2_0(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);

    return;
}

public static boolean imwrite(String filename, Mat img, MatOfInt params)
{
    Mat params_mat = params;
    boolean retVal = imwrite_0(filename, img.nativeObj, params_mat.nativeObj);

    return retVal;
}

public static void calcBackProject(List<Mat> images, MatOfInt channels, Mat hist, Mat dst, MatOfFloat ranges, double scale)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat channels_mat = channels;
    Mat ranges_mat = ranges;
    calcBackProject_0(images_mat.nativeObj, channels_mat.nativeObj, hist.nativeObj, dst.nativeObj, ranges_mat.nativeObj, scale);

    return;
}

public  long getFLOPS(MatOfInt netInputShape)
{
    Mat netInputShape_mat = netInputShape;
    long retVal = getFLOPS_0(nativeObj, netInputShape_mat.nativeObj);

    return retVal;
}

public static BRISK create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
    Mat radiusList_mat = radiusList;
    Mat numberList_mat = numberList;
    Mat indexChange_mat = indexChange;
    BRISK retVal = new BRISK(create_2(radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));

    return retVal;
}

public static void calcHist(List<Mat> images, MatOfInt channels, Mat mask, Mat hist, MatOfInt histSize, MatOfFloat ranges, boolean accumulate)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat channels_mat = channels;
    Mat histSize_mat = histSize;
    Mat ranges_mat = ranges;
    calcHist_0(images_mat.nativeObj, channels_mat.nativeObj, mask.nativeObj, hist.nativeObj, histSize_mat.nativeObj, ranges_mat.nativeObj, accumulate);

    return;
}

public static void calcHist(List<Mat> images, MatOfInt channels, Mat mask, Mat hist, MatOfInt histSize, MatOfFloat ranges, boolean accumulate)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat channels_mat = channels;
    Mat histSize_mat = histSize;
    Mat ranges_mat = ranges;
    calcHist_0(images_mat.nativeObj, channels_mat.nativeObj, mask.nativeObj, hist.nativeObj, histSize_mat.nativeObj, ranges_mat.nativeObj, accumulate);

    return;
}

public  void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights)
{
    Mat objects_mat = objects;
    Mat rejectLevels_mat = rejectLevels;
    Mat levelWeights_mat = levelWeights;
    detectMultiScale3_1(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);

    return;
}

public static void convexHull(MatOfPoint points, MatOfInt hull)
{
    Mat points_mat = points;
    Mat hull_mat = hull;
    convexHull_1(points_mat.nativeObj, hull_mat.nativeObj);

    return;
}

public  void getVoronoiFacetList(MatOfInt idx, List<MatOfPoint2f> facetList, MatOfPoint2f facetCenters)
{
    Mat idx_mat = idx;
    Mat facetList_mat = new Mat();
    Mat facetCenters_mat = facetCenters;
    getVoronoiFacetList_0(nativeObj, idx_mat.nativeObj, facetList_mat.nativeObj, facetCenters_mat.nativeObj);
    Converters.Mat_to_vector_vector_Point2f(facetList_mat, facetList);
    facetList_mat.release();
    return;
}

public  void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, boolean outputRejectLevels)
{
    Mat objects_mat = objects;
    Mat rejectLevels_mat = rejectLevels;
    Mat levelWeights_mat = levelWeights;
    detectMultiScale3_0(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height, outputRejectLevels);

    return;
}

public static BRISK create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
    Mat radiusList_mat = radiusList;
    Mat numberList_mat = numberList;
    Mat indexChange_mat = indexChange;
    BRISK retVal = new BRISK(create_0(thresh, octaves, radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));

    return retVal;
}

public static void mixChannels(List<Mat> src, List<Mat> dst, MatOfInt fromTo)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
    Mat fromTo_mat = fromTo;
    mixChannels_0(src_mat.nativeObj, dst_mat.nativeObj, fromTo_mat.nativeObj);

    return;
}

public  void getVoronoiFacetList(MatOfInt idx, List<MatOfPoint2f> facetList, MatOfPoint2f facetCenters)
{
    Mat idx_mat = idx;
    Mat facetList_mat = new Mat();
    Mat facetCenters_mat = facetCenters;
    getVoronoiFacetList_0(nativeObj, idx_mat.nativeObj, facetList_mat.nativeObj, facetCenters_mat.nativeObj);
    Converters.Mat_to_vector_vector_Point2f(facetList_mat, facetList);
    facetList_mat.release();
    return;
}

public static void mixChannels(List<Mat> src, List<Mat> dst, MatOfInt fromTo)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
    Mat fromTo_mat = fromTo;
    mixChannels_0(src_mat.nativeObj, dst_mat.nativeObj, fromTo_mat.nativeObj);

    return;
}

public static void convexHull(MatOfPoint points, MatOfInt hull, boolean clockwise)
{
    Mat points_mat = points;
    Mat hull_mat = hull;
    convexHull_0(points_mat.nativeObj, hull_mat.nativeObj, clockwise);

    return;
}

public  void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights)
{
    Mat objects_mat = objects;
    Mat rejectLevels_mat = rejectLevels;
    Mat levelWeights_mat = levelWeights;
    detectMultiScale3_1(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);

    return;
}

public static PCTSignatures create(MatOfPoint2f initSamplingPoints, MatOfInt initClusterSeedIndexes)
{
    Mat initSamplingPoints_mat = initSamplingPoints;
    Mat initClusterSeedIndexes_mat = initClusterSeedIndexes;
    PCTSignatures retVal = new PCTSignatures(create_3(initSamplingPoints_mat.nativeObj, initClusterSeedIndexes_mat.nativeObj));

    return retVal;
}

public  void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, boolean outputRejectLevels)
{
    Mat objects_mat = objects;
    Mat rejectLevels_mat = rejectLevels;
    Mat levelWeights_mat = levelWeights;
    detectMultiScale3_0(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height, outputRejectLevels);

    return;
}

public static BRISK create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
    Mat radiusList_mat = radiusList;
    Mat numberList_mat = numberList;
    Mat indexChange_mat = indexChange;
    BRISK retVal = new BRISK(create_2(radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));

    return retVal;
}