/*
* Encog(tm) Workbench v3.0
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.workbench.tabs.query.ocr;
import java.awt.BorderLayout;
import java.awt.Color;
import java.awt.GridLayout;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import javax.swing.BorderFactory;
import javax.swing.JButton;
import javax.swing.JPanel;
import javax.swing.JTable;
import org.encog.EncogError;
import org.encog.ml.BasicML;
import org.encog.ml.MLClassification;
import org.encog.ml.MLOutput;
import org.encog.ml.MLRegression;
import org.encog.ml.data.MLData;
import org.encog.ml.data.basic.BasicMLData;
import org.encog.workbench.EncogWorkBench;
import org.encog.workbench.dialogs.error.ErrorDialog;
import org.encog.workbench.frames.document.tree.ProjectEGFile;
import org.encog.workbench.models.NetworkQueryModel;
import org.encog.workbench.tabs.EncogCommonTab;
public class OCRQueryTab extends EncogCommonTab implements ActionListener {
private BasicML method;
private OCRGridPanel panel;
private JPanel buttonPanel;
private JButton buttonQuery;
private JButton buttonDownsample;
private JButton buttonClear;
private DrawingEntry entry;
private JTable outputTable;
private boolean classification;
public OCRQueryTab(ProjectEGFile file) {
super(file);
this.method = (BasicML) file.getObject();
this.classification = method instanceof MLClassification;
this.setLayout(new BorderLayout());
JPanel body = new JPanel();
body.setLayout(new GridLayout(1, 2));
this.add(body, BorderLayout.CENTER);
this.buttonQuery = new JButton("Query");
this.buttonDownsample = new JButton("Downsample");
this.buttonClear = new JButton("Clear");
this.buttonPanel = new JPanel();
this.buttonPanel.add(this.buttonQuery);
this.buttonPanel.add(this.buttonDownsample);
this.buttonPanel.add(this.buttonClear);
this.add(this.buttonPanel, BorderLayout.NORTH);
this.buttonQuery.addActionListener(this);
this.buttonDownsample.addActionListener(this);
this.buttonClear.addActionListener(this);
this.panel = new OCRGridPanel(this.method);
this.entry = new DrawingEntry();
JPanel panelLeft = new JPanel();
JPanel panelRight = new JPanel();
panelLeft.setLayout(new GridLayout(2, 1));
panelLeft.add(this.panel);
panelLeft.add(this.entry);
panelLeft.setBorder(BorderFactory.createLineBorder(Color.BLACK));
panelRight.setBorder(BorderFactory.createLineBorder(Color.BLACK));
body.add(panelLeft);
body.add(panelRight);
panelRight.setLayout(new BorderLayout());
if (classification) {
int outputCount = 1;
panelRight.add(this.outputTable = new JTable(new NetworkQueryModel(
outputCount, 2)), BorderLayout.CENTER);
this.outputTable.setEnabled(false);
this.outputTable.setValueAt("Classification Output:", 0, 0);
this.outputTable.setValueAt("0.0", 0, 1);
} else {
int outputCount = ((MLOutput) method).getOutputCount();
panelRight.add(this.outputTable = new JTable(new NetworkQueryModel(
outputCount, 2)), BorderLayout.CENTER);
this.outputTable.setEnabled(false);
for (int i = 1; i <= outputCount; i++) {
this.outputTable.setValueAt("Output " + i + ":", i - 1, 0);
this.outputTable.setValueAt("0.0", i - 1, 1);
}
}
}
public void performDownsample() {
boolean[] data = this.entry.downSample(this.panel.getGridWidth(),
this.panel.getGridHeight());
this.panel.setGrid(data);
}
public void performQuery() {
try {
int outputCount = ((MLOutput) method).getOutputCount();
boolean[] grid = this.panel.getGrid();
MLData input = new BasicMLData(grid.length);
for (int i = 0; i < grid.length; i++) {
input.setData(i, grid[i] ? 1 : -1);
}
if (classification) {
int output = ((MLClassification) this.method).classify(input);
this.outputTable.setValueAt(output, 0, 1);
} else {
MLData output = ((MLRegression) this.method).compute(input);
for (int i = 0; i < outputCount; i++) {
this.outputTable.setValueAt(output.getData(i), i, 1);
}
}
} catch (EncogError ex) {
EncogWorkBench.displayError("Query Error", ex.getMessage());
} catch (Throwable t) {
ErrorDialog.handleError(t, this.getEncogObject(), null);
}
}
public void actionPerformed(ActionEvent e) {
if (e.getSource() == this.buttonClear) {
this.panel.clear();
this.entry.clear();
}
if (e.getSource() == this.buttonDownsample) {
performDownsample();
}
if (e.getSource() == this.buttonQuery) {
performQuery();
}
}
@Override
public String getName() {
return "OCR :" + this.getEncogObject().getName();
}
}