static void Main(string[] args)
{
try
{
OCR myApp = new OCR(args);
string result = null;
var task = Task.Run(async() =>
{
result = await myApp.Run();
});
task.Wait();
if (result == null)
{
Environment.ExitCode = 1;
}
}
catch (Exception e)
{
Console.WriteLine("Unhandled exception in {0}: {1}", System.IO.Path.GetFileName(Environment.GetCommandLineArgs()[0]), e);
Environment.ExitCode = 2;
}
}
public void Execute()
{
WorkPackage WorkPackage;
int[] Assignment;
Console.WriteLine("Execute " + this.GetType().ToString());
//Read the wordlist from disc
WordList tempWordList = new WordList();
m_Wordlist = tempWordList.LoadXML(OCR.BaseFolder() + "wordlist.xml");
//create a workpackage per thread.
for (int i = 0; i < ThreadCount; i++)
{
WorkPackage = new WorkPackage();
WorkPackage.Method = ExecuteActivity;
WorkPackage.Image = Image;
Assignment = new int[2];
Assignment[0] = i; //start index
Assignment[1] = ThreadCount; //step size through list
WorkPackage.Assignment = (object)Assignment;
WorkPackage.Parameter = (object)m_Wordlist;
RunPackage(WorkPackage);
}
WaitForWorkDone(this.GetType().ToString());
}
void Train(PrinicpleComponentAnalysis PCA)
{
int num_HiddenLayers = Int32.Parse(hiddenLayerTxt.Text);
double alpha = Double.Parse(learningRateTxt.Text);
double threshold = Double.Parse(errorThresholdTxt.Text);
int[] layers = new int[num_HiddenLayers + 2];
int num_Classes = 5;
int num_TrainingPerClass = 44;
if (PCA != null)
{
layers[0] = PCA.num_Components;
}
else
{
layers[0] = 30 * 30;
}
layers[num_HiddenLayers + 1] = num_Classes;
for (int i = 0; i < num_HiddenLayers; i++)
{
if (neuronsPerLayerGridView.Rows[i].Cells[0].Value == null)
{
MessageBox.Show("Please Enter Number of Neurons Per Each Layer!");
return;
}
layers[i + 1] = Int32.Parse(neuronsPerLayerGridView.Rows[i].Cells[0].Value.ToString());
}
ocrApp = new OCR(layers, num_Classes, alpha, threshold, mainTransferFunction);
if (PCA != null)
{
int num_Epochs = Int32.Parse(numEpochsTxtBox.Text);
ocrApp.SetPCA(PCA, num_Epochs);
ocrApp.ReduceData(num_TrainingPerClass);
meanSquareError = ocrApp.LearnOnReducedData(num_TrainingPerClass);
}
else
{
meanSquareError = ocrApp.Learn(num_TrainingPerClass);
}
}
public frmOCR()
{
InitializeComponent();
mlpOCR = new OCR.OCR();
button1.Enabled = false;
button2.Enabled = false;
button3.Enabled = false;
button4.Enabled = false;
//
/*
* this.txt[0] = new System.Windows.Forms.TextBox();
* gbCharclasses.Controls.Add(this.txt[0]);
* this.txt[0].Location = new System.Drawing.Point(6, 19);
*
* this.txt[1] = new System.Windows.Forms.TextBox();
* gbCharclasses.Controls.Add(this.txt[1]);
* this.txt[1].Location = new System.Drawing.Point(6, 50);
*/
}
public ShapeNet()
{
InitializeComponent();
pbVertical.Vertical = true;
pbStrokeVertical.Vertical = true;
m_OCR = new OCR.OCR();
m_UserSettings = OCRStub.Window1.m_UserSettings;
m_UserSettings.AddControl(this, txtSample);
m_UserSettings.AddControl(this, txtThinningSample);
m_UserSettings.AddControl(this, txtNodesLayer1);
m_UserSettings.AddControl(this, txtNodesLayer2);
m_UserSettings.AddControl(this, txtRepetitions);
m_UserSettings.AddControl(this, tabShapeNetFunctions);
m_UserSettings.AddControl(this, ThinningAlgorithm);
m_UserSettings.AddControl(this, lstNeuralNetworks);
m_UserSettings.AddControl(this, txtWordListSource);
m_UserSettings.AddControl(this, txtWord);
}
/// <summary>
/// This function process the workpackage for recognising the characters
/// </summary>
/// <param name="Parameter"></param>
public static void ExecuteActivity(object Parameter)
{
//Load the neural network
ShapeNeuralNetworkCollection ShapeNet;
ShapeNeuralNetworkCollection SC = new ShapeNeuralNetworkCollection();
ShapeNet = SC.Load(OCR.BaseFolder() + "Shapenet.xml");
//Initialize the workpackage
WorkPackage WorkPackage = (WorkPackage)Parameter;
int[] Assignment = (int[])WorkPackage.Assignment;
//Run the package
for (int index = Assignment[0];
index < WorkPackage.Image.Components.Count;
index += Assignment[1])
{
Recognise(ShapeNet.ShapeNets[2], WorkPackage.Image.Components[index]);
}
SignalWorkDone();
}
/// <summary>
/// Constructor of the main window
/// </summary>
public Window1()
{
m_OCR = new OCR.OCR();
//m_UserSettings = new UserSettings();
//m_UserSettings.m_filename = "d:\\ocr\\settings.xml";
m_UserSettings = UserSettings.Load("d:\\ocr\\settings.xml");
InitializeComponent();
sldThreadCount.Maximum = System.Environment.ProcessorCount;
m_UserSettings.AddControl(this, sldThreadCount);
m_UserSettings.AddControl(this, txtTraceFeatureFolder);
m_UserSettings.AddControl(this, txtImageFile);
m_UserSettings.AddControl(this, chkDebug);
m_UserSettings.AddControl(this, chkDrawComponents);
m_UserSettings.AddControl(this, chkDrawSentenceBox);
m_UserSettings.AddControl(this, chkDrawSentenceLine);
m_UserSettings.AddControl(this, chkTraceFeatures);
m_UserSettings.AddControl(this, chkApplySplitConnected);
m_UserSettings.AddControl(this, chkApplyWordList);
}
private static void bw_DoWork(object sender, DoWorkEventArgs e)
{
OCR.OCR i_OCR = (OCR.OCR)e.Argument;
i_OCR.Execute();
}
