Made a GUI tester for video capture

[kaka/cakelight.git] / src / kaka / cakelight / Frame.java

package kaka.cakelight;

import javafx.scene.paint.Color;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;

import static kaka.cakelight.Main.saveFile;
import static kaka.cakelight.Main.timeIt;

public class Frame {
    private byte[] data;
    private Configuration config;
    private Mat colImage;
    private Mat rowImage;
    private Mat converted;

    private Frame(byte[] data) {
        this.data = data;
    }

    public static Frame of(byte[] data, Configuration config) {
        Frame frame = new Frame(data);
        frame.config = config;
        frame.convert();
        return frame;
    }

    private void convert() {
        /* TODO: how to do this?
        1) Resize to an image with the size of the number of leds and use config to define how many pixels deep into the screen to use.
        2) Resize to 16x9 and use 2 pixels of depth (or maybe 3) and interpolate for each led.
        3) Resize to 2 images where each led uses 2 pixels:
            vertical   - 16 x <#leds>
            horizontal - <#leds> x 9
         */
        Mat src = new Mat(config.video.height, config.video.width, CvType.CV_8UC2); // 8-bit, unsigned, 2 channels
        src.put(0, 0, data);

//        Mat converted = new Mat();
//        Mat resized = new Mat();
//
//        timeIt("total", () -> {
//            timeIt("yuyv2rgb", () -> Imgproc.cvtColor(src, converted, Imgproc.COLOR_YUV2RGB_YUYV)); // 3.5 - 4.0 ms
//            timeIt("resizing", () -> Imgproc.resize(converted, resized, new Size(config.leds.cols, config.leds.rows), 0, 0, Imgproc.INTER_AREA)); // INTER_AREA is the best for shrinking, but also the slowest (~1.5 ms)
//        });

        Mat cropped = src.submat(
                config.video.crop.top,
                config.video.height - config.video.crop.bottom,
                config.video.crop.left,
                config.video.width - config.video.crop.right
        );
        converted = new Mat();
        Imgproc.cvtColor(cropped, converted, Imgproc.COLOR_YUV2RGB_YUYV);
//        timeIt("model 1", () -> model1(converted, Imgproc.INTER_AREA));
//        timeIt("model 2", () -> model2(converted, Imgproc.INTER_AREA));
        timeIt("model 3", () -> model3(converted, Imgproc.INTER_AREA));
//        save(converted, "/home/kaka/test-converted.data");
//        save(resized, "/home/kaka/test-resized.data");
        src.release();
        cropped.release();
    }

    private void model1(Mat src, int interpolation) {
        Mat resized = new Mat();
        Imgproc.resize(src, resized, new Size(config.leds.cols, config.leds.rows), 0, 0, interpolation);
    }

    private void model2(Mat src, int interpolation) {
        Mat resized = new Mat();
        Imgproc.resize(src, resized, new Size(16, 9), 0, 0, interpolation);
    }

    private void model3(Mat src, int interpolation) {
        colImage = new Mat();
        rowImage = new Mat();
        Imgproc.resize(src, colImage, new Size(config.leds.cols, 9), 0, 0, interpolation);
        Imgproc.resize(src, rowImage, new Size(16, config.leds.rows), 0, 0, interpolation);
    }

    public Color getLedColor(ListPosition listPosition, int xy) {
        switch (listPosition) {
            case LEFT:
                return interpolatedRowColor(xy, 0, 1, 2);
            case RIGHT:
                return interpolatedRowColor(xy, 15, 14, 13);
            case TOP:
                return interpolatedColColor(xy, 0, 1, 2);
            case BOTTOM:
                return interpolatedColColor(xy, 8, 7, 6);
        }
        return null;
    }

    private Color interpolatedRowColor(int y, int x1, int x2, int x3) {
        return pixelToColor(rowImage, x3, y).interpolate(pixelToColor(rowImage, x2, y), 0.65).interpolate(pixelToColor(rowImage, x1, y), 0.65);
    }

    private Color interpolatedColColor(int x, int y1, int y2, int y3) {
        return pixelToColor(colImage, x, y3).interpolate(pixelToColor(colImage, x, y2), 0.65).interpolate(pixelToColor(colImage, x, y1), 0.65);
    }

    private Color pixelToColor(Mat image, int x, int y) {
        byte[] rgb = new byte[3];
        image.get(y, x, rgb);
        return Color.rgb(rgb[0] & 0xff, rgb[1] & 0xff, rgb[2] & 0xff);
    }

    private void save(Mat mat, String filepath) {
        byte[] data = new byte[mat.cols() * mat.rows() * mat.channels()];
        mat.get(0, 0, data);
        saveFile(data, filepath);
    }

    public byte[] getData() {
        byte[] buff = new byte[(int) (converted.total() * converted.channels())];
        converted.get(0, 0, buff);
        return buff;
    }

    public Mat getColImage() {
        return colImage;
    }

    public Mat getRowImage() {
        return rowImage;
    }

    public Mat getConvertedImage() {
        return converted;
    }
}