mirror of
https://github.com/PAMGuard/PAMGuard.git
synced 2024-11-21 22:52:22 +00:00
Work on the data selector for the deep learning module.
This commit is contained in:
parent
d2ba95f500
commit
edd9df426f
2
pom.xml
2
pom.xml
@ -101,7 +101,7 @@
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<exclude>META-INF/*.SF</exclude> <!-- get rid of manifests from library jars - also done in orig ant build file -->
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<exclude>META-INF/*.DSA</exclude>
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<exclude>META-INF/*.RSA</exclude>
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<exclude>test/resources/**</exclude>
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<exclude>test/resources/**</exclude><!-- get rid of deep learning moduels and wav files used for unit tests -->
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</excludes>
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</filter>
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</filters>
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@ -39,8 +39,16 @@ public class CompoundDialogPaneFX extends DynamicSettingsPane<Boolean> {
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DataSelectorDialogPaneFX dsp = new DataSelectorDialogPaneFX(ds, panel, ind++);
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selectorPanels.add(dsp);
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//need to add a listener for settings changes to these panes so it can be passed to this pane
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dsp.addSettingsListener(()->{
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//notify any listeners to this pane that the sub pane has changed.
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notifySettingsListeners();
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});
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mainPanel.getChildren().add(dsp.getContentNode());
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}
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}
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@ -109,6 +109,12 @@ public class DataSelectorDialogPaneFX extends DynamicSettingsPane<Boolean> {
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dsPane.getChildren().add(contentPane);
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//need to add a listener for settings changes to these panes so it can be passed to this pane
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innerPanel.addSettingsListener(()->{
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notifySettingsListeners();
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});
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orButton.setVisible(setIndex > 0);
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if (dataSelector instanceof CompoundDataSelector || setIndex < 0) {
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buttonPane.setVisible(false);
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@ -189,11 +189,6 @@ public class ClickControlPane2 extends PamBorderPane implements TDSettingsPane {
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dataSelectHolder.setPadding(new Insets(5,5,5,5));
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dataSelectPane = createDataSelectPane();
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dataSelectPane.addSettingsListener(()->{
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//dynamic settings pane so have to repaint whenever a control is selected.
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getParams();
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clickPlotInfo.getTDGraph().repaint(0);
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});
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dataSelectPane.setParams(true);
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@ -231,6 +226,12 @@ public class ClickControlPane2 extends PamBorderPane implements TDSettingsPane {
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enablePane();
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setFreqType();
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setParams();
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dataSelectPane.addSettingsListener(()->{
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//dynamic settings pane so have to repaint whenever a control is selected.
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getParams();
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clickPlotInfo.getTDGraph().repaint(0);
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});
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this.setCenter(tabPane);
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@ -97,7 +97,7 @@ public class DLDataSelector extends AnnotationDataSelector<DLAnnotation> {
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//set paramters for all data filters.
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for (int i=0; i<dlDataSelectParams.dataSelectorParams.length; i++) {
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dataFilters.get(i).setParams((DLDataSelectorParams) dataSelectParams);
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dataFilters.get(i).setParams((DataSelectParams) dlDataSelectParams.dataSelectorParams[i]);
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}
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}
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@ -117,7 +117,9 @@ public class DLDataSelector extends AnnotationDataSelector<DLAnnotation> {
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}
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@Override
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public DataSelectParams getParams() {
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public DLDataSelectorParams getParams() {
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//get the paramters from the pane.
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for (int i=0; i<dlDataSelectParams.dataSelectorParams.length; i++) {
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dlDataSelectParams.dataSelectorParams[i] = dataFilters.get(i).getParams();
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}
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@ -7,6 +7,7 @@ import pamViewFX.fxSettingsPanes.DynamicSettingsPane;
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import rawDeepLearningClassifier.DLControl;
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import rawDeepLearningClassifier.dlClassification.DLDetection;
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import rawDeepLearningClassifier.dlClassification.PredictionResult;
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import rawDeepLearningClassifier.logging.DLAnnotation;
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/**
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* A data filter which filters data by the maximum prediction value
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@ -24,7 +25,9 @@ public class DLPredictionFilter implements DLDataFilter {
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/**
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* The filter parameters
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*/
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private DLPredictionFilterParams filterParams = new DLPredictionFilterParams();
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private DLPredictionFilterParams filterParams = new DLPredictionFilterParams();
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private DLPredictonPane dlPredictonPane;
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public DLPredictionFilter(DLControl dlcontrol) {
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this.dlcontrol = dlcontrol;
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@ -35,15 +38,18 @@ public class DLPredictionFilter implements DLDataFilter {
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@Override
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public int scoreDLData(PamDataUnit dataUnit) {
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DLDetection dlDetection = (DLDetection) dataUnit;
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DLAnnotation annotation = (DLAnnotation) dataUnit. findDataAnnotation(DLAnnotation.class) ;
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if (annotation==null) return -1;
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//iterate through all results and check that at least one class passes data selection.
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float[] results;
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int maxClassIndex = -1;
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int maxPred = -1;
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//get the maximum prediction index which passes the minimum threshold
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for (PredictionResult modelResult: dlDetection.getModelResults()) {
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for (PredictionResult modelResult: annotation.getModelResults()) {
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results = modelResult.getPrediction();
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for (int j=0; j<results.length; j++) {
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if (filterParams.classSelect[j] && results[j]>filterParams.minClassPredicton[j]) {
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@ -84,11 +90,19 @@ public class DLPredictionFilter implements DLDataFilter {
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@Override
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public DynamicSettingsPane<DataSelectParams> getSettingsPane() {
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// TODO Auto-generated method stub
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return null;
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public DynamicSettingsPane getSettingsPane() {
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if (dlPredictonPane ==null) {
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dlPredictonPane = new DLPredictonPane(this);
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}
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return dlPredictonPane;
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}
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public DLControl getDLControl() {
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return this.dlcontrol;
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}
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// /**
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// * Get the index of the highest prediciton value a list of results.
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// * @param predictions - index of the highest prediction within a matrix of predicitons.
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@ -5,7 +5,7 @@ import PamguardMVC.dataSelector.DataSelectParams;
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/**
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* Parameters for filtering by the minimum prediciton value.
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*/
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public class DLPredictionFilterParams extends DataSelectParams {
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public class DLPredictionFilterParams extends DataSelectParams implements Cloneable{
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private static final long serialVersionUID = 1L;
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@ -22,6 +22,7 @@ public class DLPredictionFilterParams extends DataSelectParams {
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/**
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* Clone the parameters.
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*/
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@Override
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public DLPredictionFilterParams clone() {
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try {
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return (DLPredictionFilterParams) super.clone();
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@ -1,63 +1,191 @@
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package rawDeepLearningClassifier.dataSelector;
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import javafx.geometry.Insets;
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import javafx.geometry.Pos;
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import javafx.scene.Node;
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import javafx.scene.control.CheckBox;
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import javafx.scene.control.Label;
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import javafx.scene.control.Slider;
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import javafx.scene.control.ToggleButton;
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import javafx.scene.control.Tooltip;
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import javafx.scene.layout.Priority;
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import javafx.scene.text.TextAlignment;
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import pamViewFX.PamGuiManagerFX;
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import pamViewFX.fxGlyphs.PamGlyphDude;
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import pamViewFX.fxNodes.PamBorderPane;
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import pamViewFX.fxNodes.PamHBox;
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import pamViewFX.fxNodes.PamSpinner;
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import pamViewFX.fxNodes.PamVBox;
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import pamViewFX.fxNodes.sliders.PamSlider;
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import pamViewFX.fxSettingsPanes.DynamicSettingsPane;
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import rawDeepLearningClassifier.dlClassification.DLClassName;
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/**
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* Settings pane for filtering deep learning results by class prediciton.
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*/
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public class DLPredictonPane extends DynamicSettingsPane<DLPredictionFilterParams>{
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private DLPredictionFilter predicitonFilter;
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private PamVBox mainPane;
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private PamBorderPane mainPane;
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private PamVBox contentPane;
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private ClassDataSelector[] classPanes;
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private ToggleButton toggelButton;
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public DLPredictonPane(DLPredictionFilter predicitonFilter) {
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super(null);
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this.predicitonFilter=predicitonFilter;
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createPane();
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}
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private void createPane() {
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mainPane = new PamVBox();
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mainPane.setSpacing(5);
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mainPane = new PamBorderPane();
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PamBorderPane topPane = new PamBorderPane();
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Label label = new Label("Select classes to show");
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PamBorderPane.setAlignment(label, Pos.BOTTOM_LEFT);
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// label.setTextAlignment(TextAlignment.LEFT);
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label.setAlignment(Pos.BOTTOM_LEFT);
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topPane.setLeft(label);
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toggelButton = new ToggleButton();
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toggelButton.setTooltip(new Tooltip("Lock sliders together so one slider changes all values"));
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toggelButton.setGraphic(PamGlyphDude.createPamIcon("mdi2l-lock-open", PamGuiManagerFX.iconSize));
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toggelButton.selectedProperty().addListener((onsVal, oldVal,newVal)->{
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if (newVal) {
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toggelButton.setGraphic(PamGlyphDude.createPamIcon("mdi2l-lock", PamGuiManagerFX.iconSize));
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}
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else {
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toggelButton.setGraphic(PamGlyphDude.createPamIcon("mdi2l-lock-open", PamGuiManagerFX.iconSize));
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}
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});
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toggelButton.setSelected(false);
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topPane.setRight(toggelButton);
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// topPane.setAlignment(Pos.CENTER_RIGHT);
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contentPane = new PamVBox();
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contentPane.setSpacing(5);
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mainPane.setTop(topPane);
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mainPane.setCenter(contentPane);
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PamBorderPane.setMargin(topPane, new Insets(0,0,5.,0));
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}
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class ClassDataSelector extends PamHBox {
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PamSpinner<Double> spinner;
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Slider slider;
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CheckBox enable;
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Label valueLabel;
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ClassDataSelector(String classType, int index) {
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enable = new CheckBox(classType);
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spinner = new PamSpinner<Double>(0., 1., 0.7, 0.1);
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spinner.setEditable(true);
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enable.setPrefWidth(80);
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enable.setTooltip(new Tooltip(classType));
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enable.setOnAction((a)->{
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//disable if the class is unticked.
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slider.setDisable(!enable.isSelected());
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valueLabel.setDisable(!enable.isSelected());
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notifySettingsListeners();
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});
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this.getChildren().addAll(getChildrenUnmodifiable());
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slider = new Slider();
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slider.setShowTickMarks(true);
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slider.setMinorTickCount(10);
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slider.setShowTickLabels(false);
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slider.setMajorTickUnit(0.5);
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slider.valueProperty().addListener((obsval, oldval, newval)->{
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valueLabel.setText(String.format("%.2f", newval));
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//if the lock button has been sleected then change all the sliders
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//so that they are the same value as this slide (unless the class is disabled)
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if (toggelButton.isSelected()) {
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for (int i=0; i<classPanes.length; i++) {
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if (classPanes[i].enable.isSelected() && i!=index) {
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classPanes[i].slider.setValue(newval.doubleValue());
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}
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};
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}
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notifySettingsListeners();
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});
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slider.setMin(0.);
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slider.setMax(1.);
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PamHBox.setHgrow(slider, Priority.ALWAYS);
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valueLabel = new Label();
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valueLabel.setMinWidth(30);
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valueLabel.setText(String.format("%.2f", slider.getValue()));
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this.getChildren().addAll(enable, slider, valueLabel);
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}
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}
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@Override
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public DLPredictionFilterParams getParams(DLPredictionFilterParams currParams) {
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// TODO Auto-generated method stub
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for (int i=0; i<classPanes.length ; i++) {
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currParams.classSelect[i] = classPanes[i].enable.isSelected();
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currParams.minClassPredicton[i] = classPanes[i].slider.getValue();
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}
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return currParams;
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}
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@Override
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public void setParams(DLPredictionFilterParams input) {
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//set the parameters. Note that class numbers should have been checked already.
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setClassPane(input);
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}
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private void setClassPane(DLPredictionFilterParams input) {
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DLClassName[] classNames = predicitonFilter.getDLControl().getDLModel().getClassNames();
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contentPane.getChildren().clear();
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classPanes = new ClassDataSelector[input.classSelect.length];
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ClassDataSelector classPane;
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for (int i=0; i<input.classSelect.length ; i++) {
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classPane = new ClassDataSelector(classNames[i].className, i);
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classPanes[i] = classPane;
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contentPane.getChildren().add(classPane);
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classPane.enable.setSelected(input.classSelect[i]);
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classPane.slider.setValue(input.minClassPredicton[i]);
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if (i==input.classSelect.length-1) {
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classPane.slider.setShowTickLabels(true);
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}
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}
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}
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// /**
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// * Check the class numbers are correct
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// * @param input
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// */
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// private void checkSpeciesClassNumbers(DLPredictionFilterParams input) {
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// this.predicitonFilter.getSpeciesClassList();
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//
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// }
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@Override
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public String getName() {
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return "Deep learning prediciton filter";
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@ -71,7 +199,7 @@ public class DLPredictonPane extends DynamicSettingsPane<DLPredictionFilterParam
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@Override
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public void paneInitialized() {
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// TODO Auto-generated method stub
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}
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}
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@ -1,28 +1,30 @@
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package rawDeepLearningClassifier.dataSelector;
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import javafx.scene.Node;
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import javafx.scene.control.CheckBox;
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import javafx.scene.control.Label;
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import pamViewFX.fxNodes.PamHBox;
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import pamViewFX.fxNodes.PamSpinner;
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import pamViewFX.fxNodes.PamVBox;
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import pamViewFX.fxNodes.PamBorderPane;
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import pamViewFX.fxSettingsPanes.DynamicSettingsPane;
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/**
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* JavaFX pane for the deep learning data selector. This simply selects the rype
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* of filter to use and sets that as the controls.
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* <p>
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* Note that at the moment this only implements one type of data filter and so
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* essentially all controls etc. for changing filters are invisible to the user.
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*
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* @author Jamie Macaulay
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*/
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public class DLSelectPaneFX extends DynamicSettingsPane<Boolean>{
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private PamVBox mainPane;
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private PamBorderPane mainPane;
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/**
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* Refrence to the deep learning data selector.
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* Reference to the deep learning data selector.
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*/
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private DLDataSelector dlDataSelector;
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/**
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* The current index selected by the user - not in the params.
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*/
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private int currentIndex = 0;
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public DLSelectPaneFX(DLDataSelector dlDataSelector) {
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@ -38,23 +40,47 @@ public class DLSelectPaneFX extends DynamicSettingsPane<Boolean>{
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}
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private void createPane() {
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mainPane = new PamVBox();
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mainPane.setSpacing(5);
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mainPane = new PamBorderPane();
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//need to add a settings listener to the filter panes to pass on any notification this settings listener.
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for (int i=0; i<dlDataSelector.getDataSelectors().size(); i++) {
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dlDataSelector.getDataSelectors().get(currentIndex).getSettingsPane().addSettingsListener(()->{
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//notify any listeners to this pane that a filter pane has changed.
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notifySettingsListeners();
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});
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}
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}
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@Override
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public Boolean getParams(Boolean currParams) {
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dlDataSelector.getDataSelectors().get(currentIndex).getSettingsPane().getParams(null);
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public Boolean getParams(Boolean input) {
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// System.out.println("Get params DL data selector!");
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DLDataSelectorParams currParams = dlDataSelector.getParams();
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//TODO - maybe should grab settings from all filters or just the selected one?
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currParams.dataSelectorParams[currentIndex] = dlDataSelector.getDataSelectors().get(currentIndex).getSettingsPane().getParams(currParams.dataSelectorParams[currentIndex]);
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return currParams;
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dlDataSelector.setParams(currParams);
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return true;
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}
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@Override
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public void setParams(Boolean input) {
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dlDataSelector.getDataSelectors().get(currentIndex).getSettingsPane().getParams(null);
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DLDataSelectorParams currParams = dlDataSelector.getParams();
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this.currentIndex = currParams.dataSelectorIndex;
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dlDataSelector.getDataSelectors().get(currentIndex).getSettingsPane().setParams(currParams.dataSelectorParams[currentIndex]);
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setDataFilterPane(currentIndex);
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}
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private void setDataFilterPane(int index) {
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DLDataFilter dlFilter = dlDataSelector.getDataSelectors().get(index);
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mainPane.setCenter(dlFilter.getSettingsPane().getContentNode());
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}
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@Override
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@ -64,7 +90,7 @@ public class DLSelectPaneFX extends DynamicSettingsPane<Boolean>{
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@Override
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public Node getContentNode() {
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return new Label("Hello DL data selector");
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return mainPane;
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}
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@Override
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