Difference between revisions of "Example Fiducial Square Binary"

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Example Code:
Example Code:
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.19/examples/src/boofcv/examples/fiducial/ExampleFiducialNumber.java ExampleFiducialNumber.java]
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40/examples/src/main/java/boofcv/examples/fiducial/ExampleFiducialBinary.java ExampleFiducialBinary.java]


Concepts:
Concepts:
Line 16: Line 16:
Relevant Examples/Tutorials:
Relevant Examples/Tutorials:
* [[Tutorial_Fiducials|Tutorial Fiducials]]
* [[Tutorial_Fiducials|Tutorial Fiducials]]
* [[Example_Fiducial_Square_Hamming|Example Fiducial Square Hamming]]
* [[Example_Fiducial_Square_Image|Example Fiducial Square Image]]
* [[Example_Fiducial_Square_Image|Example Fiducial Square Image]]
* [[Example_Calibration_Target_Pose|Example Fiducial Calibration Target]]
* [[Example_Calibration_Target_Pose|Example Fiducial Calibration Target]]


Relevant Applets:
Videos
* [[Applet Fiducials| Applet Fiducials]]
* [https://youtu.be/qJWDK_FrgHE Fiducial Overview]


= Example Code =
= Example Code =


<syntaxhighlight lang="java">
<syntaxhighlight lang="java">
/**
**
  * Detects square binary fiducials inside an image, writes out there pose, and visualizes a virtual flat cube
  * Detects square binary fiducials inside an image, writes out there pose, and visualizes a virtual flat cube
  * above them in the input image.
  * above them in the input image.
*
* These markers can have issues with noise and you might want to consider using ExampleFiducialHamming instead.
  *
  *
  * @author Peter Abeles
  * @author Peter Abeles
  */
  */
public class ExampleFiducialBinary {
public class ExampleFiducialBinary {
public static void main(String[] args) {
public static void main( String[] args ) {
String directory = UtilIO.pathExample("fiducial/binary");


String directory = "../data/applet/fiducial/binary/";
// load the lens distortion parameters and the input image
CameraPinholeBrown param = CalibrationIO.load(new File(directory, "intrinsic.yaml"));
var lensDistortion = new LensDistortionBrown(param);


// load the lens distortion parameters and the input image
BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0000.jpg");
IntrinsicParameters param = UtilIO.loadXML(directory + "intrinsic.xml");
// BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0001.jpg");
BufferedImage input = UtilImageIO.loadImage(directory + "image0000.jpg");
// BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0002.jpg");
// BufferedImage input = UtilImageIO.loadImage(directory + "image0001.jpg");
GrayF32 original = ConvertBufferedImage.convertFrom(input, true, ImageType.single(GrayF32.class));
// BufferedImage input = UtilImageIO.loadImage(directory + "image0002.jpg");
ImageFloat32 original = ConvertBufferedImage.convertFrom(input,true, ImageType.single(ImageFloat32.class));


// Detect the fiducial
// Detect the fiducial
FiducialDetector<ImageFloat32> detector = FactoryFiducial.
FiducialDetector<GrayF32> detector = FactoryFiducial.squareBinary(
// squareBinaryRobust(new ConfigFiducialBinary(0.1), 6, ImageFloat32.class);
new ConfigFiducialBinary(0.1), ConfigThreshold.local(ThresholdType.LOCAL_MEAN, 21), GrayF32.class);
squareBinaryFast(new ConfigFiducialBinary(0.1),100,ImageFloat32.class);
// new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class);
 
detector.setIntrinsic(param);


detector.setLensDistortion(lensDistortion, param.width, param.height);
detector.detect(original);
detector.detect(original);


// print the results
// print the results
Graphics2D g2 = input.createGraphics();
Graphics2D g2 = input.createGraphics();
Se3_F64 targetToSensor = new Se3_F64();
var targetToSensor = new Se3_F64();
var locationPixel = new Point2D_F64();
var bounds = new Polygon2D_F64();
for (int i = 0; i < detector.totalFound(); i++) {
for (int i = 0; i < detector.totalFound(); i++) {
System.out.println("Target ID = "+detector.getId(i));
detector.getCenter(i, locationPixel);
detector.getFiducialToCamera(i, targetToSensor);
detector.getBounds(i, bounds);
System.out.println("Location:");
System.out.println(targetToSensor);


VisualizeFiducial.drawCube(targetToSensor,param,detector.getWidth(i), 3, g2);
g2.setColor(new Color(50, 50, 255));
g2.setStroke(new BasicStroke(10));
VisualizeShapes.drawPolygon(bounds, true, 1.0, g2);
 
if (detector.hasID())
System.out.println("Target ID = " + detector.getId(i));
if (detector.hasMessage())
System.out.println("Message  = " + detector.getMessage(i));
System.out.println("2D Image Location = " + locationPixel);
 
if (detector.is3D()) {
detector.getFiducialToCamera(i, targetToSensor);
System.out.println("3D Location:");
System.out.println(targetToSensor);
VisualizeFiducial.drawCube(targetToSensor, param, detector.getWidth(i), 3, g2);
VisualizeFiducial.drawLabelCenter(targetToSensor, param, "" + detector.getId(i), g2);
} else {
VisualizeFiducial.drawLabel(locationPixel, "" + detector.getId(i), g2);
}
}
}


ShowImages.showWindow(input,"Fiducials",true);
ShowImages.showWindow(input, "Fiducials", true);
 
}
}
}
}
</syntaxhighlight>
</syntaxhighlight>

Latest revision as of 15:42, 17 January 2022

Demonstration how to detect square binary fiducials. Square binary fiducials encode a pattern in the fiducial's center which can describe up to 4096 unique targets.

Example Code:

Concepts:

  • Fiducials
  • Pose estimation

Relevant Examples/Tutorials:

Videos

Example Code

**
 * Detects square binary fiducials inside an image, writes out there pose, and visualizes a virtual flat cube
 * above them in the input image.
 *
 * These markers can have issues with noise and you might want to consider using ExampleFiducialHamming instead.
 *
 * @author Peter Abeles
 */
public class ExampleFiducialBinary {
	public static void main( String[] args ) {
		String directory = UtilIO.pathExample("fiducial/binary");

		// load the lens distortion parameters and the input image
		CameraPinholeBrown param = CalibrationIO.load(new File(directory, "intrinsic.yaml"));
		var lensDistortion = new LensDistortionBrown(param);

		BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0000.jpg");
//		BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0001.jpg");
//		BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0002.jpg");
		GrayF32 original = ConvertBufferedImage.convertFrom(input, true, ImageType.single(GrayF32.class));

		// Detect the fiducial
		FiducialDetector<GrayF32> detector = FactoryFiducial.squareBinary(
				new ConfigFiducialBinary(0.1), ConfigThreshold.local(ThresholdType.LOCAL_MEAN, 21), GrayF32.class);
//				new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class);

		detector.setLensDistortion(lensDistortion, param.width, param.height);
		detector.detect(original);

		// print the results
		Graphics2D g2 = input.createGraphics();
		var targetToSensor = new Se3_F64();
		var locationPixel = new Point2D_F64();
		var bounds = new Polygon2D_F64();
		for (int i = 0; i < detector.totalFound(); i++) {
			detector.getCenter(i, locationPixel);
			detector.getBounds(i, bounds);

			g2.setColor(new Color(50, 50, 255));
			g2.setStroke(new BasicStroke(10));
			VisualizeShapes.drawPolygon(bounds, true, 1.0, g2);

			if (detector.hasID())
				System.out.println("Target ID = " + detector.getId(i));
			if (detector.hasMessage())
				System.out.println("Message   = " + detector.getMessage(i));
			System.out.println("2D Image Location = " + locationPixel);

			if (detector.is3D()) {
				detector.getFiducialToCamera(i, targetToSensor);
				System.out.println("3D Location:");
				System.out.println(targetToSensor);
				VisualizeFiducial.drawCube(targetToSensor, param, detector.getWidth(i), 3, g2);
				VisualizeFiducial.drawLabelCenter(targetToSensor, param, "" + detector.getId(i), g2);
			} else {
				VisualizeFiducial.drawLabel(locationPixel, "" + detector.getId(i), g2);
			}
		}

		ShowImages.showWindow(input, "Fiducials", true);
	}
}