Example usage for org.opencv.core Mat Mat

Introduction

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

Prototype

public Mat() 

Source Link

Usage

From source file:car_counter.counting.opencv.OpencvCarCounter.java

License:Apache License

public OpencvCarCounter() {
    image = new Mat();
    foregroundMask = new Mat();
    maskedImage = new Mat();
    backgroundSubtractor = new BackgroundSubtractorMOG();
}

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From source file:cctvanalization.FXMLDocumentController.java

@Override
public void initialize(URL url, ResourceBundle rb) {
    videoCapture = new VideoCapture();
    grabbedFramesPrev = new ArrayList<>();
    grabbedFramesNext = new ArrayList<>();
    grabbedFramesTemp = new ArrayList<>();
    currentFrame = new Mat();
    previousFrame = new Mat();

    Timeline timeline = new Timeline();
    KeyFrame keyFrame = new KeyFrame(Duration.millis(10), event -> {
        if (grabbedFramesPrev.size() > 1) {
            System.out.println("Frames found");
            currentFrame = grabbedFramesPrev.get(grabbedFramesPrev.size() - 1);
            previousFrame = grabbedFramesPrev.get(grabbedFramesPrev.size() - 2);

            //            Mat subtraction = new Mat();
            //            System.out.println("Mat created");

            for (int r = 0; r < currentFrame.height(); r++) {
                for (int c = 0; c < currentFrame.width(); c++) {
                    double currentValue[] = currentFrame.get(r, c);
                    double previousValue[] = previousFrame.get(r, c);
                    double newValue = currentValue[0] - previousValue[0];
                    if (newValue < 0) {
                        newValue = 0;//  w  w w .  j  a v  a2  s  .  c  o  m
                    }
                    //    System.out.printf("%f   ", newValue);
                    //         subtraction.put(r, c, newValue);

                    if (newValue > 10) {
                        int changes = 0;
                        for (int i = r - 10; i <= r; i++) {
                            for (int j = c - 10; j <= c; j++) {
                                if (i >= 0 && j >= 0) {
                                    double currCheckValue[] = currentFrame.get(i, j);
                                    double prevCheckValue[] = previousFrame.get(i, j);
                                    double checkValue = currCheckValue[0] - prevCheckValue[0];
                                    if (checkValue < 0) {
                                        checkValue = 0;
                                    }
                                    if (checkValue > 10) {
                                        changes = changes + 1;
                                    }
                                }
                            }
                        }
                        if (changes > 40) {
                            System.out.println("ChangeFound");
                            if (alarmCont == 0) {
                                alarmCont = 1;
                            }
                            if (alarmCont == 1) {
                                ringAlarm();
                                saveFrame(currentFrame, "changedFrame", "png");
                                alarmCont = 2;
                            }
                            break;
                        }
                    }
                }
                //   System.out.printf("\n");
            }
        }
    });
    timeline.getKeyFrames().add(keyFrame);
    timeline.setCycleCount(Timeline.INDEFINITE);
    timeline.play();
}

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From source file:cctvanalization.FXMLDocumentController.java

private Image grabFrame() {
    if (applicationShouldClose) {
        if (videoCapture.isOpened()) {
            videoCapture.release();// w  ww.j av  a 2s  . co m
        }
        scheduledExecutorService.shutdown();
    }

    Image imageToShow = null;
    Mat frame = new Mat();
    //     Mat prevFrame = new Mat(grabbedImagesPrev.get(grabbedImagesPrev.size() - 1));
    int frameNum = 0;
    if (videoCapture.isOpened()) {
        try {
            videoCapture.read(frame);

            if (!frame.empty()) {
                Imgproc.cvtColor(frame, frame, Imgproc.COLOR_BGR2GRAY);

                MatOfByte buffer = new MatOfByte();
                Imgcodecs.imencode(".png", frame, buffer);
                imageToShow = new Image(new ByteArrayInputStream(buffer.toArray()));

                grabbedFramesTemp.removeAll(grabbedFramesTemp);
                if (grabbedFramesPrev.size() < 10) {
                    grabbedFramesPrev.add(frame);
                } else {
                    for (int i = 1; i < grabbedFramesPrev.size(); i++) {
                        grabbedFramesTemp.add(grabbedFramesPrev.get(i));
                    }
                    grabbedFramesPrev.removeAll(grabbedFramesPrev);
                    for (int i = 0; i < grabbedFramesTemp.size(); i++) {
                        grabbedFramesPrev.add(grabbedFramesTemp.get(i));
                    }
                    grabbedFramesPrev.add(frame);
                }
            }

        } catch (Exception e) {
            System.err.println(e);
        }
    }

    return imageToShow;
}

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From source file:ch.zhaw.facerecognition.Activities.AddPersonPreviewActivity.java

License:Open Source License

@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
    Mat imgRgba = inputFrame.rgba();/*from   w w  w. j a  va2s  .  co  m*/
    Mat imgCopy = new Mat();
    imgRgba.copyTo(imgCopy);
    // Selfie / Mirror mode
    if (front_camera) {
        Core.flip(imgRgba, imgRgba, 1);
    }

    long time = new Date().getTime();
    if ((method == MANUALLY) || (method == TIME) && (lastTime + timerDiff < time)) {
        lastTime = time;

        // Check that only 1 face is found. Skip if any or more than 1 are found.
        Mat img = ppF.getCroppedImage(imgCopy);
        if (img != null) {
            Rect[] faces = ppF.getFacesForRecognition();
            //Only proceed if 1 face has been detected, ignore if 0 or more than 1 face have been detected
            if ((faces != null) && (faces.length == 1)) {
                faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
                if (((method == MANUALLY) && capturePressed) || (method == TIME)) {
                    MatName m = new MatName(name + "_" + total, img);
                    if (folder.equals("Test")) {
                        String wholeFolderPath = fh.TEST_PATH + name + "/" + subfolder;
                        new File(wholeFolderPath).mkdirs();
                        fh.saveMatToImage(m, wholeFolderPath + "/");
                    } else {
                        String wholeFolderPath = fh.TRAINING_PATH + name;
                        new File(wholeFolderPath).mkdirs();
                        fh.saveMatToImage(m, wholeFolderPath + "/");
                    }

                    for (int i = 0; i < faces.length; i++) {
                        MatOperation.drawRectangleAndLabelOnPreview(imgRgba, faces[i], String.valueOf(total),
                                front_camera);
                    }

                    total++;

                    // Stop after numberOfPictures (settings option)
                    if (total >= numberOfPictures) {
                        Intent intent = new Intent(getApplicationContext(), AddPersonActivity.class);
                        intent.setFlags(Intent.FLAG_ACTIVITY_CLEAR_TOP);
                        startActivity(intent);
                    }
                    capturePressed = false;
                } else {
                    for (int i = 0; i < faces.length; i++) {
                        MatOperation.drawRectangleOnPreview(imgRgba, faces[i], front_camera);
                    }
                }
            }
        }
    }

    return imgRgba;
}

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From source file:ch.zhaw.facerecognition.Activities.RecognitionActivity.java

License:Open Source License

public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
    Mat imgRgba = inputFrame.rgba();/*from w  ww  .j av  a2  s. com*/
    Mat img = new Mat();
    imgRgba.copyTo(img);
    List<Mat> images = ppF.getProcessedImage(img);
    Rect[] faces = ppF.getFacesForRecognition();
    // Selfie / Mirror mode
    if (front_camera) {
        Core.flip(imgRgba, imgRgba, 1);
    }
    if (images == null || images.size() == 0 || faces == null || faces.length == 0
            || !(images.size() == faces.length)) {
        // skip
        return imgRgba;
    } else {
        faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
        for (int i = 0; i < faces.length; i++) {
            MatOperation.drawRectangleAndLabelOnPreview(imgRgba, faces[i], rec.recognize(images.get(i), ""),
                    front_camera);
        }
        return imgRgba;
    }
}

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From source file:ch.zhaw.facerecognition.Activities.TrainingActivity.java

License:Open Source License

@Override
public void onResume() {
    super.onResume();

    final Handler handler = new Handler(Looper.getMainLooper());
    thread = new Thread(new Runnable() {
        public void run() {
            if (!Thread.currentThread().isInterrupted()) {
                PreProcessorFactory ppF = new PreProcessorFactory();
                String algorithm = PreferencesHelper.getClassificationMethod();

                FileHelper fileHelper = new FileHelper();
                fileHelper.createDataFolderIfNotExsiting();
                final File[] persons = fileHelper.getTrainingList();
                if (persons.length > 0) {
                    Recognition rec = RecognitionFactory.getRecognitionAlgorithm(Recognition.TRAINING,
                            algorithm);/*from  w ww .  java  2s .c om*/
                    for (File person : persons) {
                        if (person.isDirectory()) {
                            File[] files = person.listFiles();
                            int counter = 1;
                            for (File file : files) {
                                if (FileHelper.isFileAnImage(file)) {
                                    Mat imgRgb = Imgcodecs.imread(file.getAbsolutePath());
                                    Imgproc.cvtColor(imgRgb, imgRgb, Imgproc.COLOR_BGRA2RGBA);
                                    Mat processedImage = new Mat();
                                    imgRgb.copyTo(processedImage);
                                    List<Mat> images = ppF.getProcessedImage(processedImage);
                                    if (images == null || images.size() > 1) {
                                        // More than 1 face detected --> cannot use this file for training
                                        continue;
                                    } else {
                                        processedImage = images.get(0);
                                    }
                                    if (processedImage.empty()) {
                                        continue;
                                    }
                                    // The last token is the name --> Folder name = Person name
                                    String[] tokens = file.getParent().split("/");
                                    final String name = tokens[tokens.length - 1];

                                    MatName m = new MatName("processedImage", processedImage);
                                    fileHelper.saveMatToImage(m, FileHelper.DATA_PATH);

                                    rec.addImage(processedImage, name, false);

                                    //                                      fileHelper.saveCroppedImage(imgRgb, ppF, file, name, counter);

                                    // Update screen to show the progress
                                    final int counterPost = counter;
                                    final int filesLength = files.length;
                                    progress.post(new Runnable() {
                                        @Override
                                        public void run() {
                                            progress.append("Image " + counterPost + " of " + filesLength
                                                    + " from " + name + " imported.\n");
                                        }
                                    });

                                    counter++;
                                }
                            }
                        }
                    }
                    final Intent intent = new Intent(getApplicationContext(), MainActivity.class);
                    intent.setFlags(Intent.FLAG_ACTIVITY_CLEAR_TOP);
                    if (rec.train()) {
                        intent.putExtra("training", "Training successful");
                    } else {
                        intent.putExtra("training", "Training failed");
                    }
                    handler.post(new Runnable() {
                        @Override
                        public void run() {
                            startActivity(intent);
                        }
                    });
                } else {
                    Thread.currentThread().interrupt();
                }
            }
        }
    });
    thread.start();
}

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

License:Open Source License

public void saveCroppedImage(Mat img, PreProcessorFactory ppF, File file, String name, int number) {
    // Save cropped image if not already existing
    File croppedFile = new File(file.getParentFile().getAbsolutePath() + "/cropped/" + name + "_" + number);
    if (!croppedFile.exists()) {
        // Create folder if not existing
        File croppedFolder = new File(file.getParentFile().getAbsolutePath() + "/cropped");
        croppedFolder.mkdir();//from  w w  w.j av a2 s.c  om
        Mat copy = new Mat();
        img.copyTo(copy);
        copy = ppF.getCroppedImage(copy);
        MatName mat = new MatName(name + "_" + number, copy);
        saveMatToImage(mat, file.getParentFile().getAbsolutePath() + "/cropped/");
    }
}

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

License:Open Source License

public PreProcessor preprocessImage(PreProcessor preProcessor) {
    List<Mat> images = preProcessor.getImages();
    List<Mat> processed = new ArrayList<Mat>();
    for (Mat img : images) {
        Mat gauss1 = new Mat();
        Mat gauss2 = new Mat();
        Imgproc.GaussianBlur(img, gauss1, size1, sigma1);
        Imgproc.GaussianBlur(img, gauss2, size2, sigma2);
        Core.absdiff(gauss1, gauss2, img);
        processed.add(img);//  w  ww  .ja  v a  2 s  .  c  o m
    }
    preProcessor.setImages(processed);
    return preProcessor;
}

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

License:Open Source License

private void computePhi() {
    Mat Psi_repeated = new Mat();
    Core.repeat(Psi, Gamma.rows(), 1, Psi_repeated);
    Core.subtract(Gamma, Psi_repeated, Phi);
}

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

License:Open Source License

public Mat getFeatureVector(Mat original) {
    Mat projected = new Mat();
    Core.PCAProject(original, Psi, eigVectors, projected);
    return projected;
}

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