Difference between revisions of "Example Fiducial Square Binary"
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Example Code: | Example Code: | ||
* [https://github.com/lessthanoptimal/BoofCV/blob/v0. | * [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]] | ||
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<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 = UtilIO.pathExample("fiducial/binary"); | ||
// load the lens distortion parameters and the input image | // 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. | BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0000.jpg"); | ||
// BufferedImage input = UtilImageIO. | // BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0001.jpg"); | ||
// BufferedImage input = UtilImageIO. | // BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0002.jpg"); | ||
GrayF32 original = ConvertBufferedImage.convertFrom(input,true, ImageType.single(GrayF32.class)); | GrayF32 original = ConvertBufferedImage.convertFrom(input, true, ImageType.single(GrayF32.class)); | ||
// Detect the fiducial | // Detect the fiducial | ||
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// new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class); | // new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class); | ||
detector.setLensDistortion(lensDistortion); | 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(); | ||
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++) { | ||
detector. | 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.is3D() ) { | 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); | detector.getFiducialToCamera(i, targetToSensor); | ||
System.out.println("3D Location:"); | System.out.println("3D Location:"); | ||
Line 77: | Line 85: | ||
} | } | ||
ShowImages.showWindow(input,"Fiducials",true); | ShowImages.showWindow(input, "Fiducials", true); | ||
} | } | ||
} | } | ||
</syntaxhighlight> | </syntaxhighlight> |
Latest revision as of 14:42, 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:
- Tutorial Fiducials
- Example Fiducial Square Hamming
- Example Fiducial Square Image
- Example Fiducial Calibration Target
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);
}
}