use of boofcv.factory.sfm.ConfigPlanarTrackPnP in project BoofCV by lessthanoptimal.
the class ExampleVisualOdometryMonocularPlane method main.
public static void main(String[] args) {
MediaManager media = DefaultMediaManager.INSTANCE;
String directory = UtilIO.pathExample("vo/drc/");
// load camera description and the video sequence
MonoPlaneParameters calibration = CalibrationIO.load(media.openFile(new File(directory, "mono_plane.yaml").getPath()));
SimpleImageSequence<GrayU8> video = media.openVideo(new File(directory, "left.mjpeg").getPath(), ImageType.single(GrayU8.class));
var config = new ConfigPlanarTrackPnP();
// specify how the image features are going to be tracked
config.tracker.typeTracker = ConfigPointTracker.TrackerType.KLT;
config.tracker.klt.pyramidLevels = ConfigDiscreteLevels.levels(4);
config.tracker.klt.templateRadius = 3;
config.tracker.detDesc.detectPoint.type = PointDetectorTypes.SHI_TOMASI;
config.tracker.detDesc.detectPoint.general.maxFeatures = 600;
config.tracker.detDesc.detectPoint.general.radius = 3;
config.tracker.detDesc.detectPoint.general.threshold = 1;
// Configure how visual odometry works
config.thresholdAdd = 75;
config.thresholdRetire = 2;
config.ransac.iterations = 200;
config.ransac.inlierThreshold = 1.5;
// declares the algorithm
MonocularPlaneVisualOdometry<GrayU8> visualOdometry = FactoryVisualOdometry.monoPlaneInfinity(config, GrayU8.class);
// Pass in intrinsic/extrinsic calibration. This can be changed in the future.
visualOdometry.setCalibration(calibration);
// Process the video sequence and output the location plus number of inliers
long startTime = System.nanoTime();
while (video.hasNext()) {
GrayU8 image = video.next();
if (!visualOdometry.process(image)) {
System.out.println("Fault!");
visualOdometry.reset();
}
Se3_F64 leftToWorld = visualOdometry.getCameraToWorld();
Vector3D_F64 T = leftToWorld.getT();
System.out.printf("Location %8.2f %8.2f %8.2f, %s\n", T.x, T.y, T.z, trackStats(visualOdometry));
}
System.out.printf("FPS %4.2f\n", video.getFrameNumber() / ((System.nanoTime() - startTime) * 1e-9));
}
use of boofcv.factory.sfm.ConfigPlanarTrackPnP in project BoofCV by lessthanoptimal.
the class VisualizeMonocularPlaneVisualOdometryApp method createVisualOdometry.
private MonocularPlaneVisualOdometry<I> createVisualOdometry(int whichAlg) {
Class derivType = GImageDerivativeOps.getDerivativeType(imageClass);
if (whichAlg == 0) {
var config = new ConfigPlanarTrackPnP();
config.tracker.typeTracker = ConfigPointTracker.TrackerType.KLT;
config.tracker.klt.pyramidLevels = ConfigDiscreteLevels.levels(4);
config.tracker.klt.templateRadius = 3;
config.tracker.detDesc.detectPoint.type = PointDetectorTypes.SHI_TOMASI;
config.tracker.detDesc.detectPoint.general.maxFeatures = 600;
config.tracker.detDesc.detectPoint.general.radius = 3;
config.tracker.detDesc.detectPoint.general.threshold = 1;
config.thresholdAdd = 75;
config.thresholdRetire = 2;
config.ransac.iterations = 200;
config.ransac.inlierThreshold = 1.5;
return FactoryVisualOdometry.monoPlaneInfinity(config, imageClass);
} else if (whichAlg == 1) {
ConfigPKlt configKlt = new ConfigPKlt();
configKlt.pyramidLevels = ConfigDiscreteLevels.levels(4);
configKlt.templateRadius = 3;
ConfigPointDetector configDetector = new ConfigPointDetector();
configDetector.type = PointDetectorTypes.SHI_TOMASI;
configDetector.general.maxFeatures = 600;
configDetector.general.radius = 3;
configDetector.general.threshold = 1;
PointTracker<I> tracker = FactoryPointTracker.klt(configKlt, configDetector, imageClass, derivType);
double cellSize = 0.06;
double inlierGroundTol = 1.5;
return FactoryVisualOdometry.monoPlaneOverhead(cellSize, 25, 0.7, inlierGroundTol, 300, 2, 100, 0.5, 0.6, tracker, imageType);
} else {
throw new RuntimeException("Unknown selection");
}
}
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