Data selectors for deep learning models now working with FX

Still have to be implemented in Swing

src/dataPlotsFX/clickPlotFX/ClickControlPane2.java

@@ -230,7 +230,16 @@ public class ClickControlPane2 extends PamBorderPane implements TDSettingsPane {
 		dataSelectPane.addSettingsListener(()->{
 			//dynamic settings pane so have to repaint whenever a control is selected. 
 			getParams();
-			clickPlotInfo.getTDGraph().repaint(0);
+			
+			/**
+			 * If there are raw amplitude or frequency panes that have a buffer of painted units then
+			 * these have to be cleared for the data selector
+			 */
+			clickPlotInfo.getClickRawPlotManager().clear();
+			clickPlotInfo.getClickFFTPlotManager().clear();
+
+			
+			clickPlotInfo.getTDGraph().repaint(50);
 		});
 
 		this.setCenter(tabPane);
@@ -519,7 +528,7 @@ public class ClickControlPane2 extends PamBorderPane implements TDSettingsPane {
 		getParams();
 
 		//on a parameter change must clear the FFT plot. 
-		clickPlotInfo.getClickFFTplotManager().clear(); 
+		clickPlotInfo.getClickFFTPlotManager().clear(); 
 		clickPlotInfo.getClickRawPlotManager().clear(); 
 
 		clickPlotInfo.getTDGraph().repaint(milliswait);
@@ -773,7 +782,7 @@ public class ClickControlPane2 extends PamBorderPane implements TDSettingsPane {
 		clickPlotInfo.getClickDisplayParams().fftHop = this.fftSpinnerHop.getValue().intValue();
 		clickPlotInfo.getClickDisplayParams().fftLength = this.fftSpinnerLength.getValue().intValue(); 
 		clickPlotInfo.getClickDisplayParams().colourMap = this.spectroControlPane.getColourArrayType(); 
-		clickPlotInfo.getClickFFTplotManager().update(); 
+		clickPlotInfo.getClickFFTPlotManager().update(); 
 		/*** Data select pane****/
 
 		//dynamic settings pane so have to repaint whenever a control is selected. 

src/dataPlotsFX/clickPlotFX/ClickPlotInfoFX.java

@@ -238,7 +238,7 @@ public class ClickPlotInfoFX extends TDDataInfoFX {
 
 		ClickDetection click = (ClickDetection) pamDataUnit;
 		//first check we can generally plot the click
-		if (!shouldPlot(click)) return null; 
+//		if (!shouldPlot(click)) return null; 
 		//click has passed the first test! Now get the correct data value; 
 		Double val = null;
 		switch (getCurrentScaleInfo().getDataType()) {
@@ -599,21 +599,21 @@ public class ClickPlotInfoFX extends TDDataInfoFX {
 	//	}
 
 
-	/***
+//	/***
-	 * Used to determine which clicks should be plotted on the display by using the click data selector. 
+//	 * Used to determine which clicks should be plotted on the display by using the click data selector. 
-	 * @param click - the click to check. 	
+//	 * @param click - the click to check. 	
-	 * @return true to plot the click. 
+//	 * @return true to plot the click. 
-	 */
+//	 */
-	private synchronized boolean shouldPlot(ClickDetection click) {
+//	private synchronized boolean shouldPlot(ClickDetection click) {
-
+//
-		if (click == null) return false;
+//		if (click == null) return false;
-
+//
-		dataSelector.scoreData(click); 
+//		if (dataSelector.scoreData(click)<=0) return false; 
-
+//
-		if (clickDisplayParams.displayChannels > 0 && (clickDisplayParams.displayChannels & click.getChannelBitmap()) == 0) return false;
+//		if (clickDisplayParams.displayChannels > 0 && (clickDisplayParams.displayChannels & click.getChannelBitmap()) == 0) return false;
-
+//
-		return true;
+//		return true;
-	}
+//	}
 
 	@Override
 	public TDSymbolChooserFX getSymbolChooser() {
@@ -931,7 +931,7 @@ public class ClickPlotInfoFX extends TDDataInfoFX {
 	 * time/frequency displays...
 	 * @return The FFT plot manager.
 	 */
-	public ClickFFTPlotManager2 getClickFFTplotManager() {
+	public ClickFFTPlotManager2 getClickFFTPlotManager() {
 		return clickFFTplotManager;
 	}
 

src/dataPlotsFX/data/RawWavePlotManager.java

@@ -318,7 +318,6 @@ public abstract class RawWavePlotManager {
 		//check if we can plot click on this plot pane. 
 		if (!rawClipInfo.shouldDraw(plotNumber, pamDataUnit)) {
 			//System.out.println("Shoudl not draw!");
-
 			return null; 
 		}
 

src/rawDeepLearningClassifier/dataSelector/DLDataFilter.java

@@ -1,5 +1,6 @@
 package rawDeepLearningClassifier.dataSelector;
 
+import PamView.dialog.PamDialogPanel;
 import PamguardMVC.PamDataUnit;
 import PamguardMVC.dataSelector.DataSelectParams;
 import pamViewFX.fxSettingsPanes.DynamicSettingsPane;
@@ -33,10 +34,16 @@ public interface DLDataFilter {
 	public void setParams(DataSelectParams params); 
 	
 	/**
-	 * Settings controls for this filter. 
+	 * Settings controls for the deep learning filter. 
-	 * @return the cotnrols for this filter. 
+	 * @return the controls for this filter. 
 	 */
 	public DynamicSettingsPane<DataSelectParams> getSettingsPane();
 
+	/**
+	 * Swing settings controls for the data deep learning filter. 
+	 * @return Swing dialog for the settings
+	 */
+	public PamDialogPanel getSettingsPanel();
+
 
 }

src/rawDeepLearningClassifier/dataSelector/DLPredictionFilter.java

@@ -1,6 +1,7 @@
 package rawDeepLearningClassifier.dataSelector;
 
 
+import PamView.dialog.PamDialogPanel;
 import PamguardMVC.PamDataUnit;
 import PamguardMVC.dataSelector.DataSelectParams;
 import pamViewFX.fxSettingsPanes.DynamicSettingsPane;
@@ -27,7 +28,9 @@ public class DLPredictionFilter implements DLDataFilter {
 	 */
 	private DLPredictionFilterParams filterParams = new DLPredictionFilterParams();
 
-	private DLPredictonPane dlPredictonPane; 
+	private DLPredictonPane dlPredictonPane;
+
+	private DLPredictionPanel dlPredictonPanel; 
 
 	public DLPredictionFilter(DLControl dlcontrol) {
 		this.dlcontrol = dlcontrol; 
@@ -96,6 +99,14 @@ public class DLPredictionFilter implements DLDataFilter {
 		}
 		return dlPredictonPane;
 	}
+	
+	@Override
+	public PamDialogPanel getSettingsPanel() {
+		if (dlPredictonPanel ==null) {
+			dlPredictonPanel = new DLPredictionPanel(this);
+		}
+		return dlPredictonPanel;
+	}
 
 
 	public DLControl getDLControl() {

src/rawDeepLearningClassifier/dataSelector/DLPredictionPanel.java

@@ -0,0 +1,34 @@
+package rawDeepLearningClassifier.dataSelector;
+
+import javax.swing.JComponent;
+
+import PamView.dialog.PamDialogPanel;
+
+/**
+ * Swing panel for Deep learning predicitons. 
+ */
+public class DLPredictionPanel implements PamDialogPanel {
+
+	public DLPredictionPanel(DLPredictionFilter dlPredictionFilter) {
+		super();
+	}
+
+	@Override
+	public JComponent getDialogComponent() {
+		// TODO Auto-generated method stub
+		return null;
+	}
+
+	@Override
+	public void setParams() {
+		// TODO Auto-generated method stub
+		
+	}
+
+	@Override
+	public boolean getParams() {
+		// TODO Auto-generated method stub
+		return false;
+	}
+
+}