public void SetAnswer(Point position, string answer)
{
var fragments = GetPossibleFragments(position);
foreach (var fragment in fragments)
{
var sampleAnswer = GetAnswer(fragment);
if (sampleAnswer == null)
{
sampleAnswer = new RecognitionResult();
sampleAnswer.Region = fragment;
sampleResults.Add(sampleAnswer);
}
var textureClass = core.GetTextureClass(answer);
sampleAnswer.SetAnswer(TextureFeatures.GLCM, textureClass);
sampleAnswer.SetAnswer(TextureFeatures.LBP, textureClass);
}
}
public void LoadSample(string path)
{
sampleResults.Clear();
var xml = new XmlDocument();
xml.Load(path);
var results = xml.GetElementsByTagName("sample");
imageFile = results[0].Attributes["imageFile"].Value;
results = xml.GetElementsByTagName("RecognitionResult");
foreach (XmlNode item in results)
{
var result = new RecognitionResult();
result.Load(item, core.GetTextureClass);
sampleResults.Add(result);
}
image = new Bitmap(imageFile);
}
public bool CompareAnswers(RecognitionResult other, TextureFeatures feature)
{
if (other != null)
{
var otherAnswer = other[feature].Name;
if (otherAnswer != null)
{
return otherAnswer == this[feature].Name;
}
}
return false;
}
public void SetAnswer(Point position, string answer)
{
var fragments = GetPossibleFragments(position);
foreach (var fragment in fragments)
{
var sampleAnswer = GetAnswer(fragment);
if (sampleAnswer == null)
{
sampleAnswer = new RecognitionResult();
sampleAnswer.Region = fragment;
sampleResults.Add(sampleAnswer);
}
var textureClass = core.GetTextureClass(answer);
sampleAnswer.SetAnswer(TextureFeatures.GLCM, textureClass);
sampleAnswer.SetAnswer(TextureFeatures.LBP, textureClass);
}
}
public void LoadSample(string path)
{
sampleResults.Clear();
var xml = new XmlDocument();
xml.Load(path);
var results = xml.GetElementsByTagName("sample");
imageFile = results[0].Attributes["imageFile"].Value;
results = xml.GetElementsByTagName("RecognitionResult");
foreach (XmlNode item in results)
{
var result = new RecognitionResult();
result.Load(item, core.GetTextureClass);
sampleResults.Add(result);
}
image = new Bitmap(imageFile);
}
private void btnRecognize_Click(object sender, EventArgs e)
{
if (sourceImage == null)
{
MessageBox.Show("Выберете сначала изображение.");
return;
}
if (isRecognized)
{
UpdateRecognizedImage();
UpdateImages();
return;
}
if ((sourceImage.Width < RecognitionParameters.RecognitionFragmentSize) ||
(sourceImage.Height < RecognitionParameters.RecognitionFragmentSize))
{
MessageBox.Show("Изображние слишком мало - невозможно разбить на фрагменты.\n" +
"Выберете другое изображение или размер фрагмента.");
return;
}
if (recognition.Core.TextureClassCount < 1)
{
MessageBox.Show("Неизвестно ни одного класса. Сначала проведите обучение.");
return;
}
if (rbRegion.Checked && !isSelected)
{
MessageBox.Show("Не выделена область на изображении. Сначала выделите область.");
return;
}
btnRecognize.Enabled = false;
btnSelectImage.Enabled = false;
panelParameters.Enabled = false;
tsmiBatchProcessing.Enabled = false;
tsmiOptions.Enabled = false;
tsmiSaveResult.Enabled = false;
tsmiBack.Enabled = false;
tsmiClose.Enabled = false;
pbProgress.Value = 0;
answer = null;
answers = null;
ThreadPool.QueueUserWorkItem(new WaitCallback(RecognizeProcess));
ThreadPool.QueueUserWorkItem(new WaitCallback(RecognizeControl));
}
private void RecognizeProcess(object parameter)
{
if (rbRegion.Checked || rbAllImage.Checked)
{
Rectangle region = selectedRegion;
if (rbAllImage.Checked)
{
region = new Rectangle(0, 0, sourceImage.Width, sourceImage.Height);
}
answer = recognition.Core.RecognizeImage(sourceImage, region);
}
else
{
answers = recognition.Core.RecognizeImage(sourceImage);
}
this.BeginInvoke(
new Action(delegate()
{
UpdateRecognizedImage();
UpdateImages();
}));
}
private RecognitionResult GetBestMatch(TextureSample sample, Rectangle region)
{
var answer = new RecognitionResult(region, sample);
answer.SetAnswer(TextureFeatures.GLCM, GetBestMatchForFeature(sample, TextureFeatures.GLCM));
answer.SetAnswer(TextureFeatures.LBP, GetBestMatchForFeature(sample, TextureFeatures.LBP));
return answer;
}
