Example usage for org.opencv.core Mat total

Introduction

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

Prototype

public long total() 

Source Link

Usage

From source file:syncleus.dann.data.video.TLDUtil.java

License:Apache License

public static int[] getIntArray(final Mat mat) {
    if (CvType.CV_32SC1 != mat.type())
        throw new IllegalArgumentException(
                "Expected type is CV_32SC1, we found: " + CvType.typeToString(mat.type()));

    final int size = (int) (mat.total() * mat.channels());
    if (_intBuff.length != size) {
        _intBuff = new int[size];
    }//  w  ww. j  av  a2 s.com
    mat.get(0, 0, _intBuff); // 0 for row and col means the WHOLE Matrix
    return _intBuff;
}

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From source file:syncleus.dann.data.video.TLDUtil.java

License:Apache License

public static float[] getFloatArray(final Mat mat) {
    if (CvType.CV_32FC1 != mat.type())
        throw new IllegalArgumentException(
                "Expected type is CV_32FC1, we found: " + CvType.typeToString(mat.type()));

    final int size = (int) (mat.total() * mat.channels());
    if (_floatBuff.length != size) {
        _floatBuff = new float[size];
    }/*from  w  w  w.  jav  a2s .  c  om*/
    mat.get(0, 0, _floatBuff); // 0 for row and col means the WHOLE Matrix
    return _floatBuff;
}

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From source file:syncleus.dann.data.video.TLDUtil.java

License:Apache License

public static double[] getDoubleArray(final Mat mat) {
    if (CvType.CV_64F != mat.type())
        throw new IllegalArgumentException(
                "Expected type is CV_64F, we found: " + CvType.typeToString(mat.type()));

    final int size = (int) (mat.total() * mat.channels());
    if (_doubleBuff.length != size) {
        _doubleBuff = new double[size];
    }/*ww  w.java  2s .  c  o  m*/
    mat.get(0, 0, _doubleBuff); // 0 for row and col means the WHOLE Matrix
    return _doubleBuff;
}

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From source file:TarHadoop.TarToSeqFile.java

License:Apache License

/** Performs the conversion. */
public void execute(String inputFolder) throws Exception {
    SequenceFile.Writer output = null;
    try {//from w  ww  .  j  a va  2s .  c o m
        output = openOutputFile();
        DirectoryStructure obj = new DirectoryStructure();
        List<String> listOfImgPath = obj.getAllImgPaths(inputFolder);
        int i = 0;
        //String prevName="";
        //String value="";
        Text key = new Text();
        for (Iterator<String> iterator = listOfImgPath.iterator(); iterator.hasNext();) {
            String imgPath = (String) iterator.next();

            Mat img1 = Highgui.imread(imgPath);

            String[] tokens = imgPath.split("/");
            String currName = tokens[tokens.length - 2];
            System.out.println(i + " of imgPath = " + currName + "   " + listOfImgPath.size());

            byte[] data = new byte[(int) img1.total() * (int) img1.elemSize()];
            img1.get(0, 0, data);

            key = new Text(currName + "," + img1.rows() + "," + img1.cols());
            BytesWritable value = new BytesWritable(data);
            output.append(key, value);

            /*if(i==0)
               prevName=currName;
            if(currName.compareTo(prevName)==0){
               byte[] data=new byte[(int)img1.total()*(int)img1.elemSize()];
               img1.get(0,0,data);
               String x=new String(data,"UTF-8");
               value+=x+"###";
            }
            else{
               key=new Text(imgPath+","+img1.rows()+","+img1.cols());
               hadoopvalue=new Text(value);
               output.append(key, hadoopvalue);
               prevName=currName;
               value="";
            }*/
            ++i;
        }
    } finally {
        //if (input != null) { input.close(); }
        if (output != null) {
            output.close();
        }
    }
}

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From source file:uk.ac.horizon.artcodes.process.WhiteBalanceImageProcessor.java

License:Open Source License

@Override
public void process(ImageBuffers buffers) {
    Mat image = buffers.getImageInBgr();
    if (this.histograms == null) {
        this.setup();
    }//from  w  ww.  j a  v  a2 s . co m
    List<Mat> listOfMat = new ArrayList<>();
    listOfMat.add(image);

    // create a histogram for each channel:
    // (oddly it seems ~10x faster to do 3 channels separately rather than all 3 in one calcHist call)
    for (int channel = 0; channel < image.channels(); ++channel) {
        Imgproc.calcHist(listOfMat, channels[channel], emptyMatMask, histograms[channel], size, range);
    }

    float[] a = new float[image.channels()];
    float[] b = new float[image.channels()];

    final int desiredHistogramBufferSize = histograms[0].rows() * histograms[0].cols()
            * histograms[0].channels();
    float[] pixelHistogramBuffer = new float[desiredHistogramBufferSize];

    // get the values to remap the histograms:
    for (int channel = 0; channel < image.channels(); ++channel) {
        histograms[channel].get(0, 0, pixelHistogramBuffer);
        getHistogramRemap(pixelHistogramBuffer, desiredHistogramBufferSize, image.total(), a, channel, b,
                channel);
    }

    // Use a Look Up Table to re-map values
    // (it's a lot faster to workout and save what the 256 possible values transform into
    // than to do the math image.cols*rows times)

    if (lut == null) {
        lut = new Mat(1, 256, CvType.CV_8UC3);
    }
    final int lutSize = lut.cols() * lut.rows() * lut.channels();
    int lutIndex = -1;
    if (lutBufferArray == null || lutBufferArray.length != lutSize) {
        lutBufferArray = new byte[lutSize];
    }
    for (int i = 0; i < 256; ++i) {
        for (int channel = 0; channel < image.channels(); ++channel) {
            lutBufferArray[++lutIndex] = (byte) Math.min(Math.max(a[channel] * ((i) - b[channel]), 0), 255);
        }
    }
    lut.put(0, 0, lutBufferArray);
    Core.LUT(image, lut, image);
    buffers.setImage(image);
}

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