Examples with FDistort boofcv.abst.distort.FDistort used on opensource projects

Example 21 with FDistort

use of boofcv.abst.distort.FDistort in project BoofCV by lessthanoptimal.

the class TestSnapToLineEdge method setup.

private void setup(Affine2D_F64 affine, Class imageType) {
    work = GeneralizedImageOps.createSingleBand(imageType, width, height);
    image = GeneralizedImageOps.createSingleBand(imageType, width, height);
    int bg = white;
    int fg = 0;
    GImageMiscOps.fill(work, bg);
    GImageMiscOps.fillRectangle(work, fg, x0, y0, x1 - x0, y1 - y0);
    if (affine != null) {
        new FDistort(work, image).border(bg).affine(affine).apply();
    } else {
        image.setTo(work);
    }
// BufferedImage out = ConvertBufferedImage.convertTo(image, null, true);
// ShowImages.showWindow(out, "Rendered");
// try {
// Thread.sleep(3000);
// } catch (InterruptedException e) {
// e.printStackTrace();
// }
}

Example 22 with FDistort

use of boofcv.abst.distort.FDistort in project BoofCV by lessthanoptimal.

the class DetectFiducialSquareImage method addPattern.

/**
 * Adds a new image to the detector.  Image must be gray-scale and is converted into
 * a binary image using the specified threshold.  All input images are rescaled to be
 * square and of the appropriate size.  Thus the original shape of the image doesn't
 * matter.  Square shapes are highly recommended since that's what the target looks like.
 *
 * @param inputBinary Binary input image pattern.  0 = black, 1 = white.
 * @param lengthSide How long one of the sides of the target is in world units.
 * @return The ID of the provided image
 */
public int addPattern(GrayU8 inputBinary, double lengthSide) {
    if (inputBinary == null) {
        throw new IllegalArgumentException("Input image is null.");
    } else if (lengthSide <= 0) {
        throw new IllegalArgumentException("Parameter lengthSide must be more than zero");
    } else if (ImageStatistics.max(inputBinary) > 1)
        throw new IllegalArgumentException("A binary image is composed on 0 and 1 pixels.  This isn't binary!");
    // see if it needs to be resized
    if (inputBinary.width != squareLength || inputBinary.height != squareLength) {
        // need to create a new image and rescale it to better handle the resizing
        GrayF32 inputGray = new GrayF32(inputBinary.width, inputBinary.height);
        ConvertImage.convert(inputBinary, inputGray);
        PixelMath.multiply(inputGray, 255, inputGray);
        GrayF32 scaled = new GrayF32(squareLength, squareLength);
        // See if it can use the better algorithm for scaling down the image
        if (inputBinary.width > squareLength && inputBinary.height > squareLength) {
            AverageDownSampleOps.down(inputGray, scaled);
        } else {
            new FDistort(inputGray, scaled).scaleExt().apply();
        }
        GThresholdImageOps.threshold(scaled, binary, 255 / 2.0, false);
    } else {
        binary.setTo(inputBinary);
    }
    // describe it in 4 different orientations
    FiducialDef def = new FiducialDef();
    def.lengthSide = lengthSide;
    // CCW rotation so that the index refers to how many CW rotation it takes to put it into the nominal pose
    binaryToDef(binary, def.desc[0]);
    ImageMiscOps.rotateCCW(binary);
    binaryToDef(binary, def.desc[1]);
    ImageMiscOps.rotateCCW(binary);
    binaryToDef(binary, def.desc[2]);
    ImageMiscOps.rotateCCW(binary);
    binaryToDef(binary, def.desc[3]);
    int index = targets.size();
    targets.add(def);
    return index;
}

Example 23 with FDistort

use of boofcv.abst.distort.FDistort in project BoofCV by lessthanoptimal.

the class ExampleDenseOpticalFlow method main.

public static void main(String[] args) {
    MediaManager media = DefaultMediaManager.INSTANCE;
    // String fileName0 = UtilIO.pathExample("denseflow/dogdance07.png");
    // String fileName1 = UtilIO.pathExample("denseflow/dogdance08.png");
    String fileName0 = UtilIO.pathExample("denseflow/Urban2_07.png");
    String fileName1 = UtilIO.pathExample("denseflow/Urban2_08.png");
    // String fileName0 = UtilIO.pathExample("denseflow/Grove2_07.png");
    // String fileName1 = UtilIO.pathExample("denseflow/Grove2_09.png");
    DenseOpticalFlow<GrayF32> denseFlow = // FactoryDenseOpticalFlow.hornSchunckPyramid(null,GrayF32.class);
    FactoryDenseOpticalFlow.broxWarping(null, GrayF32.class);
    BufferedImage buff0 = media.openImage(fileName0);
    BufferedImage buff1 = media.openImage(fileName1);
    GrayF32 full = new GrayF32(buff0.getWidth(), buff0.getHeight());
    // Dense optical flow is very computationally expensive.  Just process the image at 1/2 resolution
    GrayF32 previous = new GrayF32(full.width / 2, full.height / 2);
    GrayF32 current = previous.createSameShape();
    ImageFlow flow = new ImageFlow(previous.width, previous.height);
    ConvertBufferedImage.convertFrom(buff0, full);
    new FDistort(full, previous).scaleExt().apply();
    ConvertBufferedImage.convertFrom(buff1, full);
    new FDistort(full, current).scaleExt().apply();
    // compute dense motion
    denseFlow.process(previous, current, flow);
    // Visualize the results
    PanelGridPanel gui = new PanelGridPanel(1, 2);
    BufferedImage converted0 = new BufferedImage(current.width, current.height, BufferedImage.TYPE_INT_RGB);
    BufferedImage converted1 = new BufferedImage(current.width, current.height, BufferedImage.TYPE_INT_RGB);
    BufferedImage visualized = new BufferedImage(current.width, current.height, BufferedImage.TYPE_INT_RGB);
    ConvertBufferedImage.convertTo(previous, converted0, true);
    ConvertBufferedImage.convertTo(current, converted1, true);
    VisualizeOpticalFlow.colorized(flow, 10, visualized);
    AnimatePanel animate = new AnimatePanel(150, converted0, converted1);
    gui.add(animate);
    gui.add(visualized);
    animate.start();
    ShowImages.showWindow(gui, "Dense Optical Flow", true);
}