use of boofcv.struct.calib.VisualDepthParameters in project BoofCV by lessthanoptimal.
the class ExampleVisualOdometryDepth method main.
public static void main(String[] args) throws IOException {
MediaManager media = DefaultMediaManager.INSTANCE;
String directory = UtilIO.pathExample("kinect/straight");
// load camera description and the video sequence
VisualDepthParameters param = CalibrationIO.load(media.openFile(directory + "visualdepth.yaml"));
// specify how the image features are going to be tracked
PkltConfig configKlt = new PkltConfig();
configKlt.pyramidScaling = new int[] { 1, 2, 4, 8 };
configKlt.templateRadius = 3;
PointTrackerTwoPass<GrayU8> tracker = FactoryPointTrackerTwoPass.klt(configKlt, new ConfigGeneralDetector(600, 3, 1), GrayU8.class, GrayS16.class);
DepthSparse3D<GrayU16> sparseDepth = new DepthSparse3D.I<>(1e-3);
// declares the algorithm
DepthVisualOdometry<GrayU8, GrayU16> visualOdometry = FactoryVisualOdometry.depthDepthPnP(1.5, 120, 2, 200, 50, true, sparseDepth, tracker, GrayU8.class, GrayU16.class);
// Pass in intrinsic/extrinsic calibration. This can be changed in the future.
visualOdometry.setCalibration(param.visualParam, new DoNothing2Transform2_F32());
// Process the video sequence and output the location plus number of inliers
SimpleImageSequence<GrayU8> videoVisual = media.openVideo(directory + "rgb.mjpeg", ImageType.single(GrayU8.class));
SimpleImageSequence<GrayU16> videoDepth = media.openVideo(directory + "depth.mpng", ImageType.single(GrayU16.class));
while (videoVisual.hasNext()) {
GrayU8 visual = videoVisual.next();
GrayU16 depth = videoDepth.next();
if (!visualOdometry.process(visual, depth)) {
throw new RuntimeException("VO Failed!");
}
Se3_F64 leftToWorld = visualOdometry.getCameraToWorld();
Vector3D_F64 T = leftToWorld.getT();
System.out.printf("Location %8.2f %8.2f %8.2f inliers %s\n", T.x, T.y, T.z, inlierPercent(visualOdometry));
}
}
use of boofcv.struct.calib.VisualDepthParameters in project BoofCV by lessthanoptimal.
the class IntrinsicToDepthParameters method main.
public static void main(String[] args) {
String baseDir = UtilIO.pathExample("kinect/basket");
CameraPinholeRadial intrinsic = CalibrationIO.load(new File(baseDir, "intrinsic.yaml"));
VisualDepthParameters depth = new VisualDepthParameters();
depth.setVisualParam(intrinsic);
depth.setMaxDepth(UtilOpenKinect.FREENECT_DEPTH_MM_MAX_VALUE);
depth.setPixelNoDepth(UtilOpenKinect.FREENECT_DEPTH_MM_NO_VALUE);
CalibrationIO.save(depth, baseDir + "visualdepth.yaml");
}
use of boofcv.struct.calib.VisualDepthParameters in project BoofCV by lessthanoptimal.
the class ExampleDepthPointCloud method main.
public static void main(String[] args) throws IOException {
String nameRgb = UtilIO.pathExample("kinect/basket/basket_rgb.png");
String nameDepth = UtilIO.pathExample("kinect/basket/basket_depth.png");
String nameCalib = UtilIO.pathExample("kinect/basket/visualdepth.yaml");
VisualDepthParameters param = CalibrationIO.load(nameCalib);
BufferedImage buffered = UtilImageIO.loadImage(nameRgb);
Planar<GrayU8> rgb = ConvertBufferedImage.convertFromPlanar(buffered, null, true, GrayU8.class);
GrayU16 depth = ConvertBufferedImage.convertFrom(UtilImageIO.loadImage(nameDepth), null, GrayU16.class);
FastQueue<Point3D_F64> cloud = new FastQueue<>(Point3D_F64.class, true);
FastQueueArray_I32 cloudColor = new FastQueueArray_I32(3);
VisualDepthOps.depthTo3D(param.visualParam, rgb, depth, cloud, cloudColor);
DMatrixRMaj K = PerspectiveOps.calibrationMatrix(param.visualParam, (DMatrixRMaj) null);
PointCloudViewer viewer = new PointCloudViewer(K, 15);
viewer.setPreferredSize(new Dimension(rgb.width, rgb.height));
for (int i = 0; i < cloud.size; i++) {
Point3D_F64 p = cloud.get(i);
int[] color = cloudColor.get(i);
int c = (color[0] << 16) | (color[1] << 8) | color[2];
viewer.addPoint(p.x, p.y, p.z, c);
}
// ---------- Display depth image
// use the actual max value in the image to maximize its appearance
int maxValue = ImageStatistics.max(depth);
BufferedImage depthOut = VisualizeImageData.disparity(depth, null, 0, maxValue, 0);
ShowImages.showWindow(depthOut, "Depth Image");
// ---------- Display colorized point cloud
ShowImages.showWindow(viewer, "Point Cloud");
System.out.println("Total points = " + cloud.size);
}
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