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Example 36 with Point

use of com.forstudy.efjava.ch03.item10.Point in project imagej-ops by imagej.

the class NonCirculantNormalizationFactor method createNormalizationImageSemiNonCirculant.

protected void createNormalizationImageSemiNonCirculant() {
    // k is the window size (valid image region)
    final int length = k.numDimensions();
    final long[] n = new long[length];
    final long[] nFFT = new long[length];
    // also referred to as object space size
    for (int d = 0; d < length; d++) {
        n[d] = k.dimension(d) + l.dimension(d) - 1;
    }
    for (int d = 0; d < length; d++) {
        nFFT[d] = imgConvolutionInterval.dimension(d);
    }
    FinalDimensions fd = new FinalDimensions(nFFT);
    // create the normalization image
    normalization = create.calculate(fd);
    // size of the measurement window
    final Point size = new Point(length);
    final long[] sizel = new long[length];
    for (int d = 0; d < length; d++) {
        size.setPosition(k.dimension(d), d);
        sizel[d] = k.dimension(d);
    }
    // starting point of the measurement window when it is centered in fft space
    final Point start = new Point(length);
    final long[] startl = new long[length];
    final long[] endl = new long[length];
    for (int d = 0; d < length; d++) {
        start.setPosition((nFFT[d] - k.dimension(d)) / 2, d);
        startl[d] = (nFFT[d] - k.dimension(d)) / 2;
        endl[d] = startl[d] + sizel[d] - 1;
    }
    // size of the object space
    final Point maskSize = new Point(length);
    final long[] maskSizel = new long[length];
    for (int d = 0; d < length; d++) {
        maskSize.setPosition(Math.min(n[d], nFFT[d]), d);
        maskSizel[d] = Math.min(n[d], nFFT[d]);
    }
    // starting point of the object space within the fft space
    final Point maskStart = new Point(length);
    final long[] maskStartl = new long[length];
    for (int d = 0; d < length; d++) {
        maskStart.setPosition((Math.max(0, nFFT[d] - n[d]) / 2), d);
        maskStartl[d] = (Math.max(0, nFFT[d] - n[d]) / 2);
    }
    final RandomAccessibleInterval<O> temp = Views.interval(normalization, new FinalInterval(startl, endl));
    final Cursor<O> normCursor = Views.iterable(temp).cursor();
    // draw a cube the size of the measurement space
    while (normCursor.hasNext()) {
        normCursor.fwd();
        normCursor.get().setReal(1.0);
    }
    final Img<O> tempImg = create.calculate(fd);
    // 3. correlate psf with the output of step 2.
    correlater.compute(normalization, tempImg);
    normalization = tempImg;
    final Cursor<O> cursorN = normalization.cursor();
    while (cursorN.hasNext()) {
        cursorN.fwd();
        if (cursorN.get().getRealFloat() <= 1e-3f) {
            cursorN.get().setReal(1.0f);
        }
    }
}
Also used : FinalDimensions(net.imglib2.FinalDimensions) FinalInterval(net.imglib2.FinalInterval) Point(net.imglib2.Point) Point(net.imglib2.Point)

Example 37 with Point

use of com.forstudy.efjava.ch03.item10.Point in project java-mapollage by trixon.

the class Operation method addPolygons.

private void addPolygons(Folder polygonParent, List<Feature> features) {
    for (Feature feature : features) {
        if (feature instanceof Folder) {
            Folder folder = (Folder) feature;
            if (folder != mPathFolder && folder != mPathGapFolder && folder != mPolygonFolder) {
                Folder polygonFolder = polygonParent.createAndAddFolder().withName(folder.getName()).withOpen(true);
                mFolderPolygonInputs.put(polygonFolder, new ArrayList<>());
                addPolygons(polygonFolder, folder.getFeature());
                if (mFolderPolygonInputs.get(polygonFolder) != null) {
                    addPolygon(folder.getName(), mFolderPolygonInputs.get(polygonFolder), polygonParent);
                }
            }
        }
        if (feature instanceof Placemark) {
            Placemark placemark = (Placemark) feature;
            Point point = (Point) placemark.getGeometry();
            ArrayList<Coordinate> coordinates = mFolderPolygonInputs.computeIfAbsent(polygonParent, k -> new ArrayList<>());
            coordinates.addAll(point.getCoordinates());
        }
    }
    ArrayList<Coordinate> rootCoordinates = mFolderPolygonInputs.get(mPolygonFolder);
    if (polygonParent == mPolygonFolder && rootCoordinates != null) {
        addPolygon(mPolygonFolder.getName(), rootCoordinates, polygonParent);
    }
}
Also used : ProfilePlacemark(se.trixon.mapollage.profile.ProfilePlacemark) Placemark(de.micromata.opengis.kml.v_2_2_0.Placemark) Coordinate(de.micromata.opengis.kml.v_2_2_0.Coordinate) Point(de.micromata.opengis.kml.v_2_2_0.Point) Folder(de.micromata.opengis.kml.v_2_2_0.Folder) ProfileFolder(se.trixon.mapollage.profile.ProfileFolder) Feature(de.micromata.opengis.kml.v_2_2_0.Feature)

Example 38 with Point

use of com.forstudy.efjava.ch03.item10.Point in project workbench by all-of-us.

the class WorkspaceAdminServiceImpl method getCloudStorageTraffic.

@Override
public CloudStorageTraffic getCloudStorageTraffic(String workspaceNamespace) {
    CloudStorageTraffic response = new CloudStorageTraffic().receivedBytes(new ArrayList<>());
    String googleProject = getWorkspaceByNamespaceOrThrow(workspaceNamespace).getGoogleProject();
    for (TimeSeries timeSeries : cloudMonitoringService.getCloudStorageReceivedBytes(googleProject, TRAILING_TIME_TO_QUERY)) {
        for (Point point : timeSeries.getPointsList()) {
            response.addReceivedBytesItem(new TimeSeriesPoint().timestamp(Timestamps.toMillis(point.getInterval().getEndTime())).value(point.getValue().getDoubleValue()));
        }
    }
    response.getReceivedBytes().sort(Comparator.comparing(TimeSeriesPoint::getTimestamp));
    return response;
}
Also used : TimeSeries(com.google.monitoring.v3.TimeSeries) TimeSeriesPoint(org.pmiops.workbench.model.TimeSeriesPoint) CloudStorageTraffic(org.pmiops.workbench.model.CloudStorageTraffic) Point(com.google.monitoring.v3.Point) TimeSeriesPoint(org.pmiops.workbench.model.TimeSeriesPoint)

Example 39 with Point

use of com.forstudy.efjava.ch03.item10.Point in project java-docs-samples by GoogleCloudPlatform.

the class BigQueryRunner method prepareMetric.

// Returns a metric time series with a single int64 data point.
private TimeSeries prepareMetric(MetricDescriptor requiredMetric, long metricValue) {
    TimeInterval interval = TimeInterval.newBuilder().setEndTime(Timestamps.fromMillis(System.currentTimeMillis())).build();
    TypedValue value = TypedValue.newBuilder().setInt64Value(metricValue).build();
    Point point = Point.newBuilder().setInterval(interval).setValue(value).build();
    List<Point> pointList = Lists.newArrayList();
    pointList.add(point);
    Metric metric = Metric.newBuilder().setType(requiredMetric.getName()).build();
    return TimeSeries.newBuilder().setMetric(metric).addAllPoints(pointList).build();
}
Also used : TimeInterval(com.google.monitoring.v3.TimeInterval) Metric(com.google.api.Metric) Point(com.google.monitoring.v3.Point) TypedValue(com.google.monitoring.v3.TypedValue)

Example 40 with Point

use of com.forstudy.efjava.ch03.item10.Point in project java-docs-samples by GoogleCloudPlatform.

the class Snippets method writeTimeSeries.

/**
 * Demonstrates writing a time series value for the metric type
 * 'custom.google.apis.com/my_metric'.
 *
 * <p>This method assumes `my_metric` descriptor has already been created as a DOUBLE value_type
 * and GAUGE metric kind. If the metric descriptor doesn't exist, it will be auto-created.
 */
// CHECKSTYLE OFF: VariableDeclarationUsageDistance
void writeTimeSeries() throws IOException {
    // [START monitoring_write_timeseries]
    String projectId = System.getProperty("projectId");
    // Instantiates a client
    MetricServiceClient metricServiceClient = MetricServiceClient.create();
    // Prepares an individual data point
    TimeInterval interval = TimeInterval.newBuilder().setEndTime(Timestamps.fromMillis(System.currentTimeMillis())).build();
    TypedValue value = TypedValue.newBuilder().setDoubleValue(123.45).build();
    Point point = Point.newBuilder().setInterval(interval).setValue(value).build();
    List<Point> pointList = new ArrayList<>();
    pointList.add(point);
    ProjectName name = ProjectName.of(projectId);
    // Prepares the metric descriptor
    Map<String, String> metricLabels = new HashMap<>();
    Metric metric = Metric.newBuilder().setType("custom.googleapis.com/my_metric").putAllLabels(metricLabels).build();
    // Prepares the monitored resource descriptor
    Map<String, String> resourceLabels = new HashMap<>();
    resourceLabels.put("instance_id", "1234567890123456789");
    resourceLabels.put("zone", "us-central1-f");
    MonitoredResource resource = MonitoredResource.newBuilder().setType("gce_instance").putAllLabels(resourceLabels).build();
    // Prepares the time series request
    TimeSeries timeSeries = TimeSeries.newBuilder().setMetric(metric).setResource(resource).addAllPoints(pointList).build();
    List<TimeSeries> timeSeriesList = new ArrayList<>();
    timeSeriesList.add(timeSeries);
    CreateTimeSeriesRequest request = CreateTimeSeriesRequest.newBuilder().setName(name.toString()).addAllTimeSeries(timeSeriesList).build();
    // Writes time series data
    metricServiceClient.createTimeSeries(request);
    System.out.println("Done writing time series value.");
// [END monitoring_write_timeseries]
}
Also used : TimeSeries(com.google.monitoring.v3.TimeSeries) MetricServiceClient(com.google.cloud.monitoring.v3.MetricServiceClient) TimeInterval(com.google.monitoring.v3.TimeInterval) ProjectName(com.google.monitoring.v3.ProjectName) HashMap(java.util.HashMap) CreateTimeSeriesRequest(com.google.monitoring.v3.CreateTimeSeriesRequest) ArrayList(java.util.ArrayList) MonitoredResource(com.google.api.MonitoredResource) Point(com.google.monitoring.v3.Point) Metric(com.google.api.Metric) TypedValue(com.google.monitoring.v3.TypedValue)

Aggregations

Point (net.imglib2.Point)33 ArrayList (java.util.ArrayList)16 FloatType (net.imglib2.type.numeric.real.FloatType)11 Test (org.junit.Test)9 List (java.util.List)8 Point (com.google.monitoring.v3.Point)7 Point (hr.fer.oop.recap2.task2.Point)7 FinalInterval (net.imglib2.FinalInterval)7 RealPoint (net.imglib2.RealPoint)7 TimeSeries (com.google.monitoring.v3.TimeSeries)6 Point (de.micromata.opengis.kml.v_2_2_0.Point)6 Interval (net.imglib2.Interval)6 RandomAccessibleInterval (net.imglib2.RandomAccessibleInterval)6 HyperSphere (net.imglib2.algorithm.region.hypersphere.HyperSphere)6 AffineTransform3D (net.imglib2.realtransform.AffineTransform3D)6 HashMap (java.util.HashMap)5 Metric (com.google.api.Metric)4 TimeInterval (com.google.monitoring.v3.TimeInterval)4 TypedValue (com.google.monitoring.v3.TypedValue)4 Map (java.util.Map)4