Example usage for org.opencv.imgcodecs Imgcodecs imdecode

Introduction

In this page you can find the example usage for org.opencv.imgcodecs Imgcodecs imdecode.

Prototype

public static Mat imdecode(Mat buf, int flags) 

Source Link

Usage

From source file:com.jeremydyer.nifi.CropImageProcessor.java

License:Apache License

@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
    final FlowFile original = session.get();
    if (original == null) {
        return;//from  ww  w.  j a  v a 2  s . c o  m
    }

    session.read(original, new InputStreamCallback() {
        @Override
        public void process(InputStream inputStream) throws IOException {

            try {
                byte[] imgData = IOUtils.toByteArray(inputStream);
                Mat image = Imgcodecs.imdecode(new MatOfByte(imgData), Imgcodecs.CV_LOAD_IMAGE_COLOR);
                cropImage(session, context, original, image);
            } catch (Exception ex) {
                getLogger().error(ex.getMessage());
                ex.printStackTrace();
            }
        }
    });

    session.transfer(original, REL_ORIGINAL);

}

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From source file:com.jeremydyer.nifi.FaceDetectionProcessor.java

License:Apache License

@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
    final FlowFile original = session.get();
    if (original == null) {
        return;//from   w  w  w  .j  a v a 2s.  c  om
    }

    session.read(original, new InputStreamCallback() {
        @Override
        public void process(InputStream inputStream) throws IOException {

            try {
                byte[] imgData = IOUtils.toByteArray(inputStream);
                Mat image = Imgcodecs.imdecode(new MatOfByte(imgData), Imgcodecs.CV_LOAD_IMAGE_COLOR);
                detectFaces(session, context, original, image);
            } catch (Exception ex) {
                getLogger().error(ex.getMessage());
                ex.printStackTrace();
            }
        }
    });

    session.transfer(original, REL_ORIGINAL);

}

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From source file:com.jeremydyer.nifi.ObjectDetectionProcessor.java

License:Apache License

@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
    final FlowFile original = session.get();
    if (original == null) {
        return;//from   w ww  .ja  v a2  s  .  com
    }

    final JSONObject JSON = new JSONObject(context.getProperty(DETECTION_DEFINITION_JSON).getValue());

    session.read(original, new InputStreamCallback() {
        @Override
        public void process(InputStream inputStream) throws IOException {

            try {
                byte[] imgData = IOUtils.toByteArray(inputStream);
                Mat image = Imgcodecs.imdecode(new MatOfByte(imgData), Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);

                //Loops through all of the detection definitions
                JSONArray dds = JSON.getJSONArray("DetectionDefinition");

                for (int i = 0; i < dds.length(); i++) {
                    JSONObject dd = dds.getJSONObject(i);
                    detectObjects(session, original, dd, image);
                }

            } catch (Exception ex) {
                getLogger().error(ex.getMessage());
                ex.printStackTrace();
            }
        }
    });

    session.transfer(original, REL_ORIGINAL);

}

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From source file:com.oetermann.imageclassifier.ImageClassifier.java

License:Open Source License

public String matchName(String matcherName, byte[] data, int minMatches) {
    return matchName(matcherName, Imgcodecs.imdecode(new MatOfByte(data), Imgcodecs.CV_LOAD_IMAGE_UNCHANGED),
            minMatches);/*from  w  w  w. jav a2 s  .c  om*/
}

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From source file:es.upv.riromu.platanus.image.ImageUtil.java

License:Open Source License

public static Mat readInputStreamIntoMat(InputStream inputStream) throws IOException {
    // Read into byte-array
    byte[] temporaryImageInMemory = readStream(inputStream);

    // Decode into mat. Use any IMREAD_ option that describes your image appropriately
    Mat outputImage = Imgcodecs.imdecode(new MatOfByte(temporaryImageInMemory), Imgcodecs.IMREAD_GRAYSCALE);

    return outputImage;
}

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From source file:ru.caramel.juniperbot.web.service.OpenCVService.java

License:Open Source License

public static Mat getMat(BufferedImage image) throws IOException {
    ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
    ImageIO.write(image, "jpg", byteArrayOutputStream);
    byteArrayOutputStream.flush();//from   w  ww. j av a  2 s. c  o  m
    return Imgcodecs.imdecode(new MatOfByte(byteArrayOutputStream.toByteArray()),
            Imgcodecs.CV_LOAD_IMAGE_UNCHANGED);
}

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