Examples with CvPoint2D32f org.bytedeco.javacpp.opencv_core.CvPoint2D32f used on opensource projects

Example 1 with CvPoint2D32f

use of org.bytedeco.javacpp.opencv_core.CvPoint2D32f in project myrobotlab by MyRobotLab.

the class OpenCVFilterAffine method process.

@Override
public IplImage process(IplImage image, OpenCVData data) throws InterruptedException {
    // TODO : Create the affine filter and return the new image
    // Find the center of the image
    CvPoint2D32f center = cvPoint2D32f(image.width() / 2.0F, image.height() / 2.0F);
    // TODO: test this...
    // CvBox2D box = new CvBox2D(center, cvSize2D32f(image.width() - 1,
    // image.height() - 1), angle);
    CvBox2D box = new CvBox2D();
    box.center(center);
    box.size(cvSize2D32f(image.width() - 1, image.height() - 1));
    box.angle(angle);
    CvPoint2D32f points = new CvPoint2D32f(4);
    cvBoxPoints(box, points);
    // CvMat pointMat = cvCreateMat(1, 4, CV_32FC2);
    // pointMat.put(0, 0, 0, points.position(0).x());
    // pointMat.put(0, 0, 1, points.position(0).y());
    // pointMat.put(0, 1, 0, points.position(1).x());
    // pointMat.put(0, 1, 1, points.position(1).y());
    // pointMat.put(0, 2, 0, points.position(2).x());
    // pointMat.put(0, 2, 1, points.position(2).y());
    // pointMat.put(0, 3, 0, points.position(3).x());
    // pointMat.put(0, 3, 1, points.position(3).y());
    // CvRect boundingRect = cvBoundingRect(pointMat, 0);
    // CvMat dst = cvCreateMat(boundingRect.height(), boundingRect.width(),
    // image.type());
    // CvMat dst = cvCreateMat(boundingRect.height(), boundingRect.width(),
    // CV_32FC1);
    CvMat rotMat = cvCreateMat(2, 3, CV_32FC1);
    cv2DRotationMatrix(center, angle, 1, rotMat);
    // Add the transpose matrix
    double x = rotMat.get(0, 2) + dx;
    rotMat.put(0, 2, x);
    // Add the transpose matrix
    double y = rotMat.get(1, 2) + dy;
    rotMat.put(1, 2, y);
    // double y_1 = ((boundingRect.width() - image.width()) / 2.0F) +
    // rotMat.get(0, 2);
    // double y_2 = ((boundingRect.height() - image.height()) / 2.0F +
    // rotMat.get(1, 2));
    // rotMat.put(0, 2, y_1);
    // rotMat.put(1, 2, y_2);
    // CvScalar fillval = cvScalarAll(0);
    // IplImage dst_frame = cvCloneImage(image);
    // cvWarpAffine(image, dst_frame, rotMat);
    // System.out.println(rotMat);
    cvWarpAffine(image, image, rotMat);
    return image;
}

Example 2 with CvPoint2D32f

use of org.bytedeco.javacpp.opencv_core.CvPoint2D32f in project myrobotlab by MyRobotLab.

the class OpenCVFilterGoodFeaturesToTrack method process.

@Override
public IplImage process(IplImage image, VisionData data) {
    if (channels == 3) {
        grey = IplImage.create(imageSize, 8, 1);
        cvCvtColor(image, grey, CV_BGR2GRAY);
    } else {
        grey = image;
    }
    if (lastMaxPointCount != maxPointCount) {
        cornerCount.setValue(maxPointCount);
        count = new int[] { maxPointCount };
        lastMaxPointCount = maxPointCount;
    }
    // FIXME copy dont create ?
    corners = new CvPoint2D32f(maxPointCount);
    ++totalIterations;
    IntPointer countPointer = new IntPointer(count);
    cvGoodFeaturesToTrack(grey, eig, temp, corners, countPointer, qualityLevel, minDistance, mask, blockSize, useHarris, k);
    // FIXME - another sad data conversion :(
    ArrayList<Point2Df> points = new ArrayList<Point2Df>();
    Float value = null;
    int x, y;
    for (int i = 0; i < count[0]; ++i) {
        corners.position(i);
        x = (int) corners.x();
        y = (int) corners.y();
        // da[i] = da[i] / frame.width();
        // da[i + 1] = da[i + 1] / frame.height();
        // x = Math.round(a)
        String key = String.format("%d.%d", x, y);
        if (values.containsKey(key)) {
            value = values.get(key);
            ++value;
            values.put(key, value);
        // log.warn(value);
        // log.warn(values.get(key));
        } else {
            value = new Float(1f);
            values.put(key, value);
        }
        Point2Df np = null;
        if (useFloatValues) {
            np = new Point2Df((float) x / width, (float) y / height, value);
        } else {
            np = new Point2Df(x, y, value);
        }
        if (np.value > oldest.value) {
            oldest = np;
        }
        points.add(np);
    }
    data.set(points);
    return image;
}

Example 3 with CvPoint2D32f

use of org.bytedeco.javacpp.opencv_core.CvPoint2D32f in project myrobotlab by MyRobotLab.

the class OpenCVFilterGoodFeaturesToTrack method process.

@Override
public IplImage process(IplImage image, OpenCVData data) {
    if (channels == 3) {
        grey = IplImage.create(imageSize, 8, 1);
        cvCvtColor(image, grey, CV_BGR2GRAY);
    } else {
        grey = image;
    }
    if (lastMaxPointCount != maxPointCount) {
        cornerCount.setValue(maxPointCount);
        count = new int[] { maxPointCount };
        lastMaxPointCount = maxPointCount;
    }
    // FIXME copy dont create ?
    corners = new CvPoint2D32f(maxPointCount);
    ++totalIterations;
    IntPointer countPointer = new IntPointer(count);
    cvGoodFeaturesToTrack(grey, eig, temp, corners, countPointer, qualityLevel, minDistance, mask, blockSize, useHarris, k);
    // FIXME - another sad data conversion :(
    ArrayList<Point2Df> points = new ArrayList<Point2Df>();
    Float value = null;
    int x, y;
    for (int i = 0; i < count[0]; ++i) {
        corners.position(i);
        x = (int) corners.x();
        y = (int) corners.y();
        // da[i] = da[i] / frame.width();
        // da[i + 1] = da[i + 1] / frame.height();
        // x = Math.round(a)
        String key = String.format("%d.%d", x, y);
        if (values.containsKey(key)) {
            value = values.get(key);
            ++value;
            values.put(key, value);
        // log.warn(value);
        // log.warn(values.get(key));
        } else {
            value = new Float(1f);
            values.put(key, value);
        }
        Point2Df np = null;
        if (useFloatValues) {
            np = new Point2Df((float) x / width, (float) y / height, value);
        } else {
            np = new Point2Df(x, y, value);
        }
        if (np.value > oldest.value) {
            oldest = np;
        }
        points.add(np);
    }
    data.set(points);
    return image;
}

Example 4 with CvPoint2D32f

use of org.bytedeco.javacpp.opencv_core.CvPoint2D32f in project myrobotlab by MyRobotLab.

the class OpenCVFilterLKOpticalTrack method imageChanged.

@Override
public void imageChanged(IplImage image) {
    eig = IplImage.create(imageSize, IPL_DEPTH_32F, 1);
    tmp = IplImage.create(imageSize, IPL_DEPTH_32F, 1);
    imgB = IplImage.create(imageSize, 8, 1);
    imgA = IplImage.create(imageSize, 8, 1);
    if (channels == 3) {
        cvCvtColor(image, imgB, CV_BGR2GRAY);
        cvCopy(imgB, imgA);
    }
    cornersA = new CvPoint2D32f(maxPointCount);
    cornersB = new CvPoint2D32f(maxPointCount);
    cornersC = new CvPoint2D32f(maxPointCount);
    // Call Lucas Kanade algorithm
    features_found = new BytePointer(maxPointCount);
    feature_errors = new FloatPointer(maxPointCount);
}

Example 5 with CvPoint2D32f

use of org.bytedeco.javacpp.opencv_core.CvPoint2D32f in project myrobotlab by MyRobotLab.

the class OpenCVFilterLKOpticalTrack method imageChanged.

@Override
public void imageChanged(IplImage image) {
    eig = IplImage.create(imageSize, IPL_DEPTH_32F, 1);
    tmp = IplImage.create(imageSize, IPL_DEPTH_32F, 1);
    imgB = IplImage.create(imageSize, 8, 1);
    imgA = IplImage.create(imageSize, 8, 1);
    if (channels == 3) {
        cvCvtColor(image, imgB, CV_BGR2GRAY);
        cvCopy(imgB, imgA);
    }
    cornersA = new CvPoint2D32f(maxPointCount);
    cornersB = new CvPoint2D32f(maxPointCount);
    cornersC = new CvPoint2D32f(maxPointCount);
    // Call Lucas Kanade algorithm
    features_found = new BytePointer(maxPointCount);
    feature_errors = new FloatPointer(maxPointCount);
}