Приложение Исходный код пс

RecognForm.cs

namespace Raspoz2

{

public partial class RecognForm : Form

{

private static Capture _cameraCapture; //Камера

public RecognForm()

{

InitializeComponent();

Run(); //Запускаем камеру

}

private void Form1_Load(object sender, EventArgs e)

{

}

void Run()

{

try

{

_cameraCapture = new Capture();

}

catch (Exception e)

{

MessageBox.Show(e.Message);

return;

}

Application.Idle += ProcessFrame;

}

void ProcessFrame(object sender, EventArgs e)

{

Image<Bgr, Byte> frame = _cameraCapture.QueryFrame(); //Полученный кадр

using (CascadeClassifier face = new CascadeClassifier("cascade.xml")) //Загрузка каскада

using (Image<Gray, Byte> gray = frame.Convert<Gray, Byte>()) //подготовка изображения

{

//Детектирование

Rectangle[] BarcodesDetected2 = face.DetectMultiScale(

gray, //Исходное изображение

1.1, //Коэффициент увеличения изображения

6, //Группировка предварительно обнаруженных событий. Чем их меньше, тем больше ложных тревог

new Size(5, 5), //Минимальный размер

Size.Empty); //Максимальный размер

//Вывод найденного

foreach (Rectangle f in BarcodesDetected2)

{

frame.Draw(f, new Bgr(Color.Blue), 2);

}

// create a barcode reader instance

IBarcodeReader reader = new BarcodeReader();

// Преобразование кадра к типу Bitmap

System.Drawing.Image frame_sys = frame.ToBitmap();

var barcodeBitmap = new Bitmap(frame_sys);

// Расшифровка штрихкода

var result = reader.Decode(barcodeBitmap);

// Вывод результата

Cascade.xml (до пятнадцатой стадии)

<?xml version="1.0"?>

<opencv_storage>

<cascade>

<stageType>BOOST</stageType>

<featureType>HAAR</featureType>

<height>25</height>

<width>25</width>

<stageParams>

<boostType>GAB</boostType>

<minHitRate>9.9500000476837158e-001</minHitRate>

<maxFalseAlarm>5.0000000000000000e-001</maxFalseAlarm>

<weightTrimRate>9.4999999999999996e-001</weightTrimRate>

<maxDepth>1</maxDepth>

<maxWeakCount>100</maxWeakCount></stageParams>

<featureParams>

<maxCatCount>0</maxCatCount>

<featSize>1</featSize>

<mode>ALL</mode></featureParams>

<stageNum>16</stageNum>

<stages>

<!-- stage 0 -->

<_>

<maxWeakCount>7</maxWeakCount>

<stageThreshold>-9.6873414516448975e-001</stageThreshold>

<weakClassifiers>

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<leafValues>

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<!-- stage 1 -->

<_>

<maxWeakCount>6</maxWeakCount>

<stageThreshold>-7.3041534423828125e-001</stageThreshold>

<weakClassifiers>

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<internalNodes>

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<leafValues>

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<!-- stage 2 -->

<_>

<maxWeakCount>8</maxWeakCount>

<stageThreshold>-7.6124441623687744e-001</stageThreshold>

<weakClassifiers>

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<!-- stage 3 -->

<_>

<maxWeakCount>7</maxWeakCount>

<stageThreshold>-1.1723710298538208e+000</stageThreshold>

<weakClassifiers>

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<!-- stage 4 -->

<_>

<maxWeakCount>8</maxWeakCount>

<stageThreshold>-8.2804256677627563e-001</stageThreshold>

<weakClassifiers>

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<!-- stage 5 -->

<_>

<maxWeakCount>7</maxWeakCount>

<stageThreshold>-1.0307321548461914e+000</stageThreshold>

<weakClassifiers>

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<!-- stage 6 -->

<_>

<maxWeakCount>10</maxWeakCount>

<stageThreshold>-1.1102532148361206e+000</stageThreshold>

<weakClassifiers>

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<!-- stage 7 -->

<_>

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<!-- stage 10 -->

…