开放式CV代码-有人可以帮助我了解代码的作用吗 [英] Open CV Code - Can someone help me understand what the code is doing

问题描述

我正在研究OpenCV颜色blob，正在审阅代码.我需要一些帮助来了解代码在做什么，以便我可以进一步进行工作并帮助进一步集成.是否有人可以帮助我理解/注释代码，以便更轻松地插入代码.

I am working on the OpenCV color blob and I am reviewing the code. I need some help understand what the code is doing so that I can work further on it and help integrate this further. Is it possible for someone to help me with understanding/commenting the code so it is easier to interpate.

public boolean onTouch(View v, MotionEvent event) {
        int cols = mRgba.cols(); //get resolution of display
        int rows = mRgba.rows(); // get resolution of display

        int xOffset = (mOpenCvCameraView.getWidth() - cols) / 2; //get resolution of display
        int yOffset = (mOpenCvCameraView.getHeight() - rows) / 2; // get resolution of display

        int x = (int)event.getX() - xOffset; // get resolution of display
        int y = (int)event.getY() - yOffset; //get resolution of display 

        Log.i(TAG, "Touch image coordinates: (" + x + ", " + y + ")");

        if ((x < 0) || (y < 0) || (x > cols) || (y > rows)) return false;

        Rect touchedRect = new Rect();

        touchedRect.x = (x>4) ? x-4 : 0;
        touchedRect.y = (y>4) ? y-4 : 0;

        touchedRect.width = (x+4 < cols) ? x + 4 - touchedRect.x : cols - touchedRect.x;
        touchedRect.height = (y+4 < rows) ? y + 4 - touchedRect.y : rows - touchedRect.y;

        Mat touchedRegionRgba = mRgba.submat(touchedRect);

        Mat touchedRegionHsv = new Mat();
        Imgproc.cvtColor(touchedRegionRgba, touchedRegionHsv, Imgproc.COLOR_RGB2HSV_FULL);

        // Calculate average color of touched region
        mBlobColorHsv = Core.sumElems(touchedRegionHsv);
        int pointCount = touchedRect.width*touchedRect.height;
        for (int i = 0; i < mBlobColorHsv.val.length; i++)
            mBlobColorHsv.val[i] /= pointCount;

        //converts scalar to hsv to RGB
        mBlobColorRgba = converScalarHsv2Rgba(mBlobColorHsv);

        Log.i(TAG, "Touched rgba color: (" + mBlobColorRgba.val[0] + ", " + mBlobColorRgba.val[1] +
                ", " + mBlobColorRgba.val[2] + ", " + mBlobColorRgba.val[3] + ")");

        mDetector.setHsvColor(mBlobColorHsv);

        Imgproc.resize(mDetector.getSpectrum(), mSpectrum, SPECTRUM_SIZE);

        mIsColorSelected = true;

        touchedRegionRgba.release();
        touchedRegionHsv.release();

        return false; // don't need subsequent touch events
    }

    public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
        mRgba = inputFrame.rgba();

        if (mIsColorSelected) {
            mDetector.process(mRgba);
            List<MatOfPoint> contours = mDetector.getContours();
            Log.e(TAG, "Contours count: " + contours.size());
            Imgproc.drawContours(mRgba, contours, -1, CONTOUR_COLOR);

            Mat colorLabel = mRgba.submat(4, 68, 4, 68);
            colorLabel.setTo(mBlobColorRgba);

            Mat spectrumLabel = mRgba.submat(4, 4 + mSpectrum.rows(), 70, 70 + mSpectrum.cols());
            mSpectrum.copyTo(spectrumLabel);
        }

        return mRgba;
    }
//final conversion
    private Scalar converScalarHsv2Rgba(Scalar hsvColor) {
        Mat pointMatRgba = new Mat();
        Mat pointMatHsv = new Mat(1, 1, CvType.CV_8UC3, hsvColor);
        Imgproc.cvtColor(pointMatHsv, pointMatRgba, Imgproc.COLOR_HSV2RGB_FULL, 4);

        return new Scalar(pointMatRgba.get(0, 0));
    }

推荐答案

尽管我认为这段代码是完全自我记录的，但我一直在尽我所能并尽可能地注释了该​​代码.通常，此代码从用户触摸绘制的坐标中获取图像.然后转换色彩空间并调整其频谱大小

I have been through and commented the code as best as I can, although I think it is fairly self documenting. Generally this code takes an image from the coordinates plotted by a users touch. it then converts the color space and resizes it for spectrum size

    // When a motion event happens (someone touches the device)
public boolean onTouch(View v, MotionEvent event) {
    int cols = mRgba.cols(); //get resolution of display
    int rows = mRgba.rows(); // get resolution of display

    int xOffset = (mOpenCvCameraView.getWidth() - cols) / 2; //get resolution of display
    int yOffset = (mOpenCvCameraView.getHeight() - rows) / 2; // get resolution of display

    int x = (int)event.getX() - xOffset; // get resolution of display
    int y = (int)event.getY() - yOffset; //get resolution of display 

        //The place where the screen was touched
    Log.i(TAG, "Touch image coordinates: (" + x + ", " + y + ")");
    // ensure it is within the screen.
    if ((x < 0) || (y < 0) || (x > cols) || (y > rows)) return false;

    Rect touchedRect = new Rect();

    //Ensure it is a multiple of 4
    touchedRect.x = (x>4) ? x-4 : 0;
    touchedRect.y = (y>4) ? y-4 : 0;

    // If  x+4 < cols then ?"" else :""
    touchedRect.width = (x+4 < cols) ? x + 4 - touchedRect.x : cols - touchedRect.x;
    touchedRect.height = (y+4 < rows) ? y + 4 - touchedRect.y : rows - touchedRect.y;

    create a touched regionmat from the image created from the touches
    Mat touchedRegionRgba = mRgba.submat(touchedRect);

    //Convert the new mat to HSV colour space
    Mat touchedRegionHsv = new Mat();
    Imgproc.cvtColor(touchedRegionRgba, touchedRegionHsv, Imgproc.COLOR_RGB2HSV_FULL);

    // Calculate average color of touched region
    mBlobColorHsv = Core.sumElems(touchedRegionHsv);
    int pointCount = touchedRect.width*touchedRect.height;
    for (int i = 0; i < mBlobColorHsv.val.length; i++)
        mBlobColorHsv.val[i] /= pointCount;

    //converts scalar to hsv to RGB
    mBlobColorRgba = converScalarHsv2Rgba(mBlobColorHsv);

    Log.i(TAG, "Touched rgba color: (" + mBlobColorRgba.val[0] + ", " + mBlobColorRgba.val[1] +
            ", " + mBlobColorRgba.val[2] + ", " + mBlobColorRgba.val[3] + ")");

    mDetector.setHsvColor(mBlobColorHsv);

    // Resize the image to specture size
    Imgproc.resize(mDetector.getSpectrum(), mSpectrum, SPECTRUM_SIZE);

    mIsColorSelected = true;

    // Release all mats
    touchedRegionRgba.release();
    touchedRegionHsv.release();

    return false; // don't need subsequent touch events
}

public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
    mRgba = inputFrame.rgba();

    if (mIsColorSelected) {
        mDetector.process(mRgba);
        List<MatOfPoint> contours = mDetector.getContours();
        Log.e(TAG, "Contours count: " + contours.size());
        Imgproc.drawContours(mRgba, contours, -1, CONTOUR_COLOR);

        Mat colorLabel = mRgba.submat(4, 68, 4, 68);
        colorLabel.setTo(mBlobColorRgba);

        Mat spectrumLabel = mRgba.submat(4, 4 + mSpectrum.rows(), 70, 70 + mSpectrum.cols());
        mSpectrum.copyTo(spectrumLabel);
    }

    return mRgba;
}
//final conversion
    private Scalar converScalarHsv2Rgba(Scalar hsvColor) {
        Mat pointMatRgba = new Mat();
        Mat pointMatHsv = new Mat(1, 1, CvType.CV_8UC3, hsvColor);
        Imgproc.cvtColor(pointMatHsv, pointMatRgba, Imgproc.COLOR_HSV2RGB_FULL, 4);

        return new Scalar(pointMatRgba.get(0, 0));
    }

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