Java 类org.opencv.core.MatOfFloat 实例源码

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 compute(Mat img, MatOfFloat descriptors)
{
    Mat descriptors_mat = descriptors;
    compute_1(nativeObj, img.nativeObj, descriptors_mat.nativeObj);

    return;
}

public  void compute(Mat img, MatOfFloat descriptors)
{
    Mat descriptors_mat = descriptors;
    compute_1(nativeObj, img.nativeObj, descriptors_mat.nativeObj);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);

    return;
}

public  void setTranslations(MatOfFloat translations)
{
    Mat translations_mat = translations;
    setTranslations_0(nativeObj, translations_mat.nativeObj);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_0(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold);

    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 compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
    Mat descriptors_mat = descriptors;
    Mat locations_mat = locations;
    compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);

    return;
}

public  void compute(Mat img, MatOfFloat descriptors)
{
    Mat descriptors_mat = descriptors;
    compute_1(nativeObj, img.nativeObj, descriptors_mat.nativeObj);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_0(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold);

    return;
}

public static int chamerMatching(Mat img, Mat templ, List<MatOfPoint> results, MatOfFloat cost)
{
    Mat results_mat = new Mat();
    Mat cost_mat = cost;
    int retVal = chamerMatching_1(img.nativeObj, templ.nativeObj, results_mat.nativeObj, cost_mat.nativeObj);
    Converters.Mat_to_vector_vector_Point(results_mat, results);
    results_mat.release();
    return retVal;
}

public  void compute(Mat img, MatOfFloat descriptors)
{
    Mat descriptors_mat = descriptors;
    compute_1(nativeObj, img.nativeObj, descriptors_mat.nativeObj);

    return;
}

public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
{
    Mat bboxes_mat = bboxes;
    Mat scores_mat = scores;
    Mat indices_mat = indices;
    NMSBoxes_1(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);

    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 compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
    Mat descriptors_mat = descriptors;
    Mat locations_mat = locations;
    compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);

    return;
}

public static void fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h, int templateWindowSize, int searchWindowSize, int normType)
{
    Mat srcImgs_mat = Converters.vector_Mat_to_Mat(srcImgs);
    Mat h_mat = h;
    fastNlMeansDenoisingMulti_2(srcImgs_mat.nativeObj, dst.nativeObj, imgToDenoiseIndex, temporalWindowSize, h_mat.nativeObj, templateWindowSize, searchWindowSize, normType);

    return;
}

public  void compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
    Mat descriptors_mat = descriptors;
    Mat locations_mat = locations;
    compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);

    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 BRISK create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList)
{
    Mat radiusList_mat = radiusList;
    Mat numberList_mat = numberList;
    BRISK retVal = new BRISK(create_1(thresh, octaves, radiusList_mat.nativeObj, numberList_mat.nativeObj));

    return retVal;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj);

    return;
}

public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h, int templateWindowSize, int searchWindowSize, int normType)
{
    Mat h_mat = h;
    fastNlMeansDenoising_2(src.nativeObj, dst.nativeObj, h_mat.nativeObj, templateWindowSize, searchWindowSize, normType);

    return;
}

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 static int getMedian(Mat mat) {

        ArrayList<Mat> listOfMat = new ArrayList<>();
        listOfMat.add(mat);
        MatOfInt channels = new MatOfInt(0);
        Mat mask = new Mat();
        Mat hist = new Mat(256, 1, CvType.CV_8UC1);
        MatOfInt histSize = new MatOfInt(256);
        MatOfFloat ranges = new MatOfFloat(0, 256);

        Imgproc.calcHist(listOfMat, channels, mask, hist, histSize, ranges);

        double t = mat.rows() * mat.cols() / 2;
        double total = 0;
        int med = -1;
        for (int row = 0; row < hist.rows(); row++) {
            double val = hist.get(row, 0)[0];
            if ((total <= t) && (total + val >= t)) {
                med = row;
                break;
            }
            total += val;
        }

//        Log.d(TAG, String.format("getMedian() = %d", med));

        return med;
    }

public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h, int templateWindowSize, int searchWindowSize, int normType)
{
    Mat h_mat = h;
    fastNlMeansDenoising_2(src.nativeObj, dst.nativeObj, h_mat.nativeObj, templateWindowSize, searchWindowSize, normType);

    return;
}

public  void compute(Mat img, MatOfFloat descriptors)
{
    Mat descriptors_mat = descriptors;
    compute_1(nativeObj, img.nativeObj, descriptors_mat.nativeObj);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj);

    return;
}

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 static void fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h)
{
    Mat srcImgs_mat = Converters.vector_Mat_to_Mat(srcImgs);
    Mat h_mat = h;
    fastNlMeansDenoisingMulti_3(srcImgs_mat.nativeObj, dst.nativeObj, imgToDenoiseIndex, temporalWindowSize, h_mat.nativeObj);

    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;
}

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 static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);

    return;
}

public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h)
{
    Mat h_mat = h;
    fastNlMeansDenoising_3(src.nativeObj, dst.nativeObj, h_mat.nativeObj);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_0(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj);

    return;
}

public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);

    return;
}

public  void compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
    Mat descriptors_mat = descriptors;
    Mat locations_mat = locations;
    compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);

    return;
}

public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h)
{
    Mat h_mat = h;
    fastNlMeansDenoising_3(src.nativeObj, dst.nativeObj, h_mat.nativeObj);

    return;
}

public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h)
{
    Mat h_mat = h;
    fastNlMeansDenoising_3(src.nativeObj, dst.nativeObj, h_mat.nativeObj);

    return;
}

public  void computeQuadraticFormDistances(Mat sourceSignature, List<Mat> imageSignatures, MatOfFloat distances)
{
    Mat imageSignatures_mat = Converters.vector_Mat_to_Mat(imageSignatures);
    Mat distances_mat = distances;
    computeQuadraticFormDistances_0(nativeObj, sourceSignature.nativeObj, imageSignatures_mat.nativeObj, distances_mat.nativeObj);

    return;
}