Java FloatIndexer.put方法代码示例

import org.bytedeco.javacpp.indexer.FloatIndexer; //导入方法依赖的package包/类
private void initNativeIntrinsic() {
    if (intrinsicsMat == null) {
        intrinsicsMat = new Mat(3, 3, CV_32FC1);
        FloatIndexer intrinsicIdx = intrinsicsMat.createIndexer(true);

        // init to 0
        int k = 0;
        for (int i = 0; i < 3; i++) {
            for (int j = 0; j < 3; j++) {
                intrinsicIdx.put(k++, 0);
            }
        }

        // set the values
        intrinsicIdx.put(0, 0, intrinsics.m00);
        intrinsicIdx.put(1, 1, intrinsics.m11);
        intrinsicIdx.put(0, 2, intrinsics.m02);
        intrinsicIdx.put(1, 2, intrinsics.m12);
        intrinsicIdx.put(2, 2, 1);
    }
}
 

import org.bytedeco.javacpp.indexer.FloatIndexer; //导入方法依赖的package包/类
private void fillNative(PVector[] objectPoints,
        PVector[] imagePoints,
        Mat op, Mat ip) {

    FloatIndexer opIdx = op.createIndexer();
    FloatIndexer ipIdx = ip.createIndexer();

    // Fill the object and image matrices.
    for (int i = 0; i < objectPoints.length; i++) {
        opIdx.put(i, 0, objectPoints[i].x);
        opIdx.put(i, 1, objectPoints[i].y);
        opIdx.put(i, 2, objectPoints[i].z);

        ipIdx.put(i, 0, imagePoints[i].x);
        ipIdx.put(i, 1, imagePoints[i].y);
    }
}
 

import org.bytedeco.javacpp.indexer.FloatIndexer; //导入方法依赖的package包/类
/**
 * Assign values to feature
 * <p>
 * 样本特征为水平、垂直直方图和低分辨率图像所组成的矢量
 * 
 * @param in
 * @param sizeData
 *            低分辨率图像size = sizeData*sizeData, 可以为0
 * @return
 */
public static Mat features(final Mat in, final int sizeData) {

    float[] vhist = projectedHistogram(in, Direction.VERTICAL);
    float[] hhist = projectedHistogram(in, Direction.HORIZONTAL);

    Mat lowData = new Mat();
    if (sizeData > 0) {
        resize(in, lowData, new Size(sizeData, sizeData));
    }

    int numCols = vhist.length + hhist.length + lowData.cols() * lowData.rows();
    Mat out = Mat.zeros(1, numCols, CV_32F).asMat();
    FloatIndexer idx = out.createIndexer();

    int j = 0;
    for (int i = 0; i < vhist.length; ++i, ++j) {
        idx.put(0, j, vhist[i]);
    }
    for (int i = 0; i < hhist.length; ++i, ++j) {
        idx.put(0, j, hhist[i]);
    }
    for (int x = 0; x < lowData.cols(); x++) {
        for (int y = 0; y < lowData.rows(); y++, ++j) {
            float val = lowData.ptr(x, y).get() & 0xFF;
            idx.put(0, j, val);
        }
    }

    return out;
}
 

import org.bytedeco.javacpp.indexer.FloatIndexer; //导入方法依赖的package包/类
public PMatrix3D estimateOrientation(PVector[] objectPoints,
            PVector[] imagePoints) {

        assert (objectPoints.length == imagePoints.length);

        Mat op = new Mat(objectPoints.length, 3, CV_32FC1);
        Mat ip = new Mat(imagePoints.length, 2, CV_32FC1);
        Mat rotation = new Mat(3, 1, CV_64FC1);
        Mat translation = new Mat(3, 1, CV_64FC1);

        if (intrinsicsMat == null) {
            intrinsicsMat = new Mat(3, 3, CV_32FC1);
            FloatIndexer intrinsicIdx = intrinsicsMat.createIndexer(true);

            // init to 0
            int k = 0;
            for (int i = 0; i < 3; i++) {
                for (int j = 0; j < 3; j++) {
                    intrinsicIdx.put(k++, 0);
                }
            }

            // set the values
            intrinsicIdx.put(0, 0, intrinsics.m00);
            intrinsicIdx.put(1, 1, intrinsics.m11);
            intrinsicIdx.put(0, 2, intrinsics.m02);
            intrinsicIdx.put(1, 2, intrinsics.m12);
            intrinsicIdx.put(2, 2, 1);
        }

        FloatIndexer opIdx = op.createIndexer();
        FloatIndexer ipIdx = ip.createIndexer();

        // Fill the object and image matrices.
        for (int i = 0; i < objectPoints.length; i++) {
            opIdx.put(i, 0, objectPoints[i].x);
            opIdx.put(i, 1, objectPoints[i].y);
            opIdx.put(i, 2, objectPoints[i].z);

            ipIdx.put(i, 0, imagePoints[i].x);
            ipIdx.put(i, 1, imagePoints[i].y);
        }

        //  cv::SOLVEPNP_ITERATIVE = 0, 
        //  cv::SOLVEPNP_EPNP = 1, 
//  cv::SOLVEPNP_P3P = 2, 
//  cv::SOLVEPNP_DLS = 3, 
//  cv::SOLVEPNP_UPNP = 4 
// Convert all to Mat, instead of CvMat
        boolean solved = opencv_calib3d.solvePnP(op,
                ip,
                new Mat(intrinsicsMat), new Mat(),
                rotation, translation,
                false, opencv_calib3d.SOLVEPNP_ITERATIVE);

        Mat rotMat = new Mat(3, 3, CV_64FC1);
        Rodrigues(rotation, rotMat);

        double[] rotationIndex = (double[]) rotMat.createIndexer(false).array();
        double[] translationIndex = (double[]) translation.createIndexer(false).array();

//        float RTMat[] = {
//            (float) rotationIndex[0], (float) rotationIndex[1], (float) rotationIndex[2], (float) translationIndex[0],
//            (float) rotationIndex[3], (float) rotationIndex[4], (float) rotationIndex[5], (float) translationIndex[1],
//            (float) rotationIndex[6], (float) rotationIndex[7], (float) rotationIndex[8], (float) translationIndex[2],
//            0, 0, 0, 1f};

        PMatrix3D mat = new PMatrix3D((float) rotationIndex[0], (float) rotationIndex[1], (float) rotationIndex[2], (float) translationIndex[0],
                (float) rotationIndex[3], (float) rotationIndex[4], (float) rotationIndex[5], (float) translationIndex[1],
                (float) rotationIndex[6], (float) rotationIndex[7], (float) rotationIndex[8], (float) translationIndex[2],
                0, 0, 0, 1f);
//        mat.set(RTMat);

        return mat;
    }