Example usage for org.opencv.core Mat cols

Introduction

In this page you can find the example usage for org.opencv.core Mat cols.

Prototype

public int cols() 

Source Link

Usage

From source file:ch.zhaw.facerecognitionlibrary.Helpers.FileHelper.java

License:Open Source License

public String saveMatToImage(MatName m, String path) {
    String fullpath = path + m.getName() + ".png";
    Mat mat = m.getMat();
    Bitmap bitmap = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(mat, bitmap);/* w  ww. ja  v a  2s  .  com*/
    File file = new File(fullpath);
    try {
        FileOutputStream os = new FileOutputStream(file);
        bitmap.compress(Bitmap.CompressFormat.PNG, 100, os);
        os.close();
    } catch (FileNotFoundException e) {
        e.printStackTrace();
    } catch (IOException e) {
        e.printStackTrace();
    }
    return fullpath;
}

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From source file:ch.zhaw.facerecognitionlibrary.Helpers.MatOperation.java

License:Open Source License

public static Point drawRectangleOnPreview(Mat img, Rect face, boolean front_camera) {
    if (front_camera) {
        int topLeftX = (int) (img.cols() - (face.tl().x + face.width));
        int bottomRightX = (int) (img.cols() - (face.br().x) + face.width);
        Point tl = new Point(topLeftX, face.tl().y);
        Point br = new Point(bottomRightX, face.br().y);
        Imgproc.rectangle(img, tl, br, FACE_RECT_COLOR, THICKNESS);
        return tl;
    } else {//from   w  ww.  j a  v a  2  s  .  c  om
        Imgproc.rectangle(img, face.tl(), face.br(), FACE_RECT_COLOR, THICKNESS);
        return face.tl();
    }
}

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From source file:ch.zhaw.facerecognitionlibrary.Helpers.MatOperation.java

License:Open Source License

public static Rect[] rotateFaces(Mat img, Rect[] faces, int angle) {
    Point center = new Point(img.cols() / 2, img.rows() / 2);
    Mat rotMat = Imgproc.getRotationMatrix2D(center, angle, 1);
    rotMat.convertTo(rotMat, CvType.CV_32FC1);
    float scale = img.cols() / img.rows();
    for (Rect face : faces) {
        Mat m = new Mat(3, 1, CvType.CV_32FC1);
        m.put(0, 0, face.x);/*from w  w w . j a  v a2s  . co  m*/
        m.put(1, 0, face.y);
        m.put(2, 0, 1);
        Mat res = Mat.zeros(2, 1, CvType.CV_32FC1);
        Core.gemm(rotMat, m, 1, new Mat(), 0, res, 0);
        face.x = (int) res.get(0, 0)[0];
        face.y = (int) res.get(1, 0)[0];
        if (angle == 270 || angle == -90) {
            face.x = (int) (face.x * scale - face.width);
            face.x = face.x + face.width / 4;
            face.y = face.y + face.height / 4;
        } else if (angle == 180 || angle == -180) {
            face.x = face.x - face.width;
            face.y = face.y - face.height;
        } else if (angle == 90 || angle == -270) {
            face.y = (int) (face.y * scale - face.height);
            face.x = face.x - face.width / 4;
            face.y = face.y - face.height / 4;
        }
    }
    return faces;
}

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From source file:ch.zhaw.facerecognitionlibrary.Helpers.MatXml.java

License:Open Source License

public void writeMat(String tag, Mat mat) {
    try {/*  w  w  w .j  a va  2  s . c  o  m*/
        if (isWrite == false) {
            System.err.println("Try write to file with no write flags");
            return;
        }

        Element matrix = doc.createElement(tag);
        matrix.setAttribute("type_id", "opencv-matrix");
        rootElement.appendChild(matrix);

        Element rows = doc.createElement("rows");
        rows.appendChild(doc.createTextNode(String.valueOf(mat.rows())));

        Element cols = doc.createElement("cols");
        cols.appendChild(doc.createTextNode(String.valueOf(mat.cols())));

        Element dt = doc.createElement("dt");
        String dtStr;
        int type = mat.type();
        if (type == CvType.CV_32F) { // type == CvType.CV_32FC1
            dtStr = "f";
        } else if (type == CvType.CV_32S) { // type == CvType.CV_32SC1
            dtStr = "i";
        } else if (type == CvType.CV_16S) { // type == CvType.CV_16SC1
            dtStr = "s";
        } else if (type == CvType.CV_8U) { // type == CvType.CV_8UC1
            dtStr = "b";
        } else {
            dtStr = "unknown";
        }
        dt.appendChild(doc.createTextNode(dtStr));

        Element data = doc.createElement("data");
        String dataStr = dataStringBuilder(mat);
        data.appendChild(doc.createTextNode(dataStr));

        // append all to matrix
        matrix.appendChild(rows);
        matrix.appendChild(cols);
        matrix.appendChild(dt);
        matrix.appendChild(data);

    } catch (Exception e) {
        e.printStackTrace();
    }
}

---

From source file:ch.zhaw.facerecognitionlibrary.Helpers.MatXml.java

License:Open Source License

private String dataStringBuilder(Mat mat) {
    StringBuilder sb = new StringBuilder();
    int rows = mat.rows();
    int cols = mat.cols();
    int type = mat.type();

    if (type == CvType.CV_32F) {
        float fs[] = new float[1];
        for (int r = 0; r < rows; r++) {
            for (int c = 0; c < cols; c++) {
                mat.get(r, c, fs);/*from   ww w . j ava  2  s.c o  m*/
                sb.append(String.valueOf(fs[0]));
                sb.append(' ');
            }
            sb.append('\n');
        }
    } else if (type == CvType.CV_32S) {
        int is[] = new int[1];
        for (int r = 0; r < rows; r++) {
            for (int c = 0; c < cols; c++) {
                mat.get(r, c, is);
                sb.append(String.valueOf(is[0]));
                sb.append(' ');
            }
            sb.append('\n');
        }
    } else if (type == CvType.CV_16S) {
        short ss[] = new short[1];
        for (int r = 0; r < rows; r++) {
            for (int c = 0; c < cols; c++) {
                mat.get(r, c, ss);
                sb.append(String.valueOf(ss[0]));
                sb.append(' ');
            }
            sb.append('\n');
        }
    } else if (type == CvType.CV_8U) {
        byte bs[] = new byte[1];
        for (int r = 0; r < rows; r++) {
            for (int c = 0; c < cols; c++) {
                mat.get(r, c, bs);
                sb.append(String.valueOf(bs[0]));
                sb.append(' ');
            }
            sb.append('\n');
        }
    } else {
        sb.append("unknown type\n");
    }

    return sb.toString();
}

---

From source file:ch.zhaw.facerecognitionlibrary.PreProcessor.Contours.LocalBinaryPattern.java

License:Open Source License

@Override
public PreProcessor preprocessImage(PreProcessor preProcessor) {
    List<Mat> images = preProcessor.getImages();
    List<Mat> processed = new ArrayList<Mat>();
    for (Mat img : images) {
        // Resize for Performance enhancement
        Size size = new Size(preProcessor.getN(), preProcessor.getN());
        Imgproc.resize(img, img, size);/*from w w  w. j ava 2  s. c  o m*/
        Mat lbp = new Mat(img.rows() - 2, img.cols() - 2, img.type());
        for (int i = 1; i < img.rows() - 1; i++) {
            for (int j = 1; j < img.cols() - 1; j++) {
                BitSet out = new BitSet(8);
                double cen = img.get(i, j)[0];
                if (img.get(i - 1, j - 1)[0] > cen)
                    out.set(0);
                if (img.get(i - 1, j)[0] > cen)
                    out.set(1);
                if (img.get(i - 1, j + 1)[0] > cen)
                    out.set(2);
                if (img.get(i, j + 1)[0] > cen)
                    out.set(3);
                if (img.get(i + 1, j + 1)[0] > cen)
                    out.set(4);
                if (img.get(i + 1, j)[0] > cen)
                    out.set(5);
                if (img.get(i + 1, j - 1)[0] > cen)
                    out.set(6);
                if (img.get(i, j - 1)[0] > cen)
                    out.set(7);
                int value = 0;
                for (int k = 0; k < out.length(); k++) {
                    int index = out.nextSetBit(k);
                    value += Math.pow(2, out.length() - 1 - index);
                    k = index;
                }
                lbp.put(i - 1, j - 1, value);
            }
        }
        processed.add(lbp);
    }
    preProcessor.setImages(processed);
    return preProcessor;
}

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From source file:ch.zhaw.facerecognitionlibrary.PreProcessor.StandardPreprocessing.EyeAlignment.java

License:Open Source License

public PreProcessor preprocessImage(PreProcessor preProcessor) {
    List<Mat> images = preProcessor.getImages();
    List<Mat> processed = new ArrayList<Mat>();
    preProcessor.setEyes();//from  w ww  .  ja  v a  2  s  . c  om
    Eyes[] eyes = preProcessor.getEyes();
    if (eyes == null || eyes[0] == null) {
        return null;
    }
    for (int i = 0; i < images.size(); i++) {
        Mat img = images.get(i);
        Eyes eye = eyes[i];
        double desiredLen = (DESIRED_LEFT_EYE_X - DESIRED_RIGHT_EYE_X) * img.cols();
        double scale = 0.9 * desiredLen / eye.getDist();
        MatOfFloat leftCenter = eye.getLeftCenter();
        MatOfFloat rightCenter = eye.getRightCenter();
        double centerX = ((leftCenter.get(0, 0)[0] + rightCenter.get(0, 0)[0]) / 2);
        double centerY = ((leftCenter.get(1, 0)[0] + rightCenter.get(1, 0)[0]) / 2);
        Mat rotMat = Imgproc.getRotationMatrix2D(new Point(centerX, centerY), eye.getAngle(), scale);
        rotMat.put(2, 0, img.cols() * 0.5 - centerX);
        rotMat.put(2, 1, img.rows() * DESIRED_RIGHT_EYE_Y - centerY);
        Imgproc.warpAffine(img, img, rotMat, new Size(img.cols(), img.rows()));
        processed.add(img);
    }
    preProcessor.setImages(processed);
    return preProcessor;
}

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From source file:ch.zhaw.facerecognitionlibrary.Recognition.SupportVectorMachine.java

License:Open Source License

private String imageToSvmString(Mat img, String label) {
    int iLabel = 0;
    if (method == TRAINING) {
        if (labelMap.containsKey(label)) {
            iLabel = labelMap.getValue(label);
        } else {//from www  .  j  av a  2s .  c  o m
            iLabel = labelMap.size() + 1;
            labelMap.put(label, iLabel);
        }
    } else {
        if (labelMapTest.containsKey(label)) {
            iLabel = labelMapTest.getValue(label);
        } else {
            iLabel = labelMapTest.size() + 1;
            labelMapTest.put(label, iLabel);
        }
    }
    String result = String.valueOf(iLabel);
    img = getFeatureVector(img);
    for (int i = 0; i < img.cols(); i++) {
        result = result + " " + i + ":" + img.get(0, i)[0];
    }
    result += "\n";
    return result;
}

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From source file:Clases.Segmentador.java

public Mat detectaPterigion(Mat img_ana, int val1, int val2, int val3) {
    int r = 200, g = 125, b = 115;
    for (int y = 0; y < img_ana.rows(); y++) {
        for (int x = 0; x < img_ana.cols(); x++) {
            double[] color = img_ana.get(y, x);
            if (color[2] >= r - val1 && color[2] <= r + val1 && color[1] >= g - val2 && color[1] <= g + val2
                    && color[0] >= b - val3 && color[0] <= b + val3) {
                color[0] = 0;//from  ww w  .jav  a 2 s  .  c  o  m
                color[1] = 255;
                color[2] = 255;
            }
            img_ana.put(y, x, color);
        }
    }
    return img_ana;
}

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From source file:Clases.Segmentador.java

public int detectaEsclerotica(Mat img_ana, int val1, int val2, int val3) {
    int r = 190, g = 187, b = 181, area = 0;
    for (int y = 0; y < img_ana.rows(); y++) {
        for (int x = 0; x < img_ana.cols(); x++) {
            double[] color = img_ana.get(y, x);
            if (color[2] >= r - val1 && color[2] <= r + val1 && color[1] >= g - val2 && color[1] <= g + val2
                    && color[0] >= b - val3 && color[0] <= b + val3) {
                area++;/*w  ww  .  j  a v a 2  s.c  o m*/
            }
            img_ana.put(y, x, color);
        }
    }
    return area;
}

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