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MainWindow.xaml.cs
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785 lines (622 loc) · 36.9 KB
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using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Diagnostics;
using System.Linq;
using System.IO;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading.Tasks;
using System.Windows;
using System.Windows.Controls;
using System.Windows.Data;
using System.Windows.Documents;
using System.Windows.Input;
using System.Windows.Media;
using System.Windows.Media.Imaging;
using System.Windows.Navigation;
using System.Windows.Shapes;
using System.Globalization;
using Microsoft.Kinect;
using Microsoft.Speech.AudioFormat;
using Microsoft.Speech.Recognition;
namespace FutureCloth
{
/// <summary>
/// Interaction logic for MainWindow
/// </summary>
[System.Diagnostics.CodeAnalysis.SuppressMessage("Microsoft.Design", "CA1001:TypesThatOwnDisposableFieldsShouldBeDisposable",
Justification = "In a full-fledged application, the SpeechRecognitionEngine object should be properly disposed. For the sake of simplicity, we're omitting that code in this sample.")]
/// <summary>
/// Interaction logic for MainWindow.xaml
/// </summary>
public partial class MainWindow : Window
{
#region Members
KinectSensor _sensor;
MultiSourceFrameReader _reader;
IList<Body> _bodies;
private CoordinateMapper coordinateMapper = null;
BackgroundRemoval _backgroundRemoval;
ulong player = 0;
byte[] colordata = null;
int widthMask = 60;
int lengthMask = 65;
ImageBrush[] images = new ImageBrush[5];
Random random = null;
bool check = false; //check for rather speech is called
int num = 4;
int state = 0;
ColorFrame colorFrame = null;
WriteableBitmap colorBitmap = null;
FrameDescription colorFrameDescription = null;
//Speech members
private KinectAudioStream convertStream = null; //stream for 32b-16b conversion
private SpeechRecognitionEngine speechEngine = null; //speech recognition engine using audio data from kienct
private List<Span> recognitionSpans; //list of all UI span elements used to select recognized text
#endregion
#region Constructor
public MainWindow()
{
InitializeComponent();
}
#endregion
#region Events
/// <summary>
/// Gets the metadata for the speech recognizer (acoustic model) most suitable to
/// process audio from Kinect device.
/// </summary>
/// <returns>
/// RecognizerInfo if found, <code>null</code> otherwise.
/// </returns>
private static RecognizerInfo TryGetKinectRecognizer()
{
IEnumerable<RecognizerInfo> recognizers;
// This is required to catch the case when an expected recognizer is not installed.
// By default - the x86 Speech Runtime is always expected.
try
{
recognizers = SpeechRecognitionEngine.InstalledRecognizers();
}
catch (COMException)
{
return null;
}
foreach (RecognizerInfo recognizer in recognizers)
{
string value;
recognizer.AdditionalInfo.TryGetValue("Kinect", out value);
if ("True".Equals(value, StringComparison.OrdinalIgnoreCase) && "en-US".Equals(recognizer.Culture.Name, StringComparison.OrdinalIgnoreCase))
{
return recognizer;
}
}
return null;
}
public ImageSource ImageSource
{
get
{
return this.colorBitmap;
}
}
private void Window_Loaded(object sender, RoutedEventArgs e)
{
//this.colorBitmap = new WriteableBitmap(colorFrameDescription.Width, colorFrameDescription.Height, 96.0, 96.0, PixelFormats.Bgr32, null);
_sensor = KinectSensor.GetDefault();
this.coordinateMapper = _sensor.CoordinateMapper;
if (_sensor != null)
{
_sensor.Open();
_backgroundRemoval = new BackgroundRemoval(_sensor.CoordinateMapper, _sensor);
_reader = _sensor.OpenMultiSourceFrameReader(FrameSourceTypes.Color | FrameSourceTypes.Depth | FrameSourceTypes.BodyIndex | FrameSourceTypes.Body);
_reader.MultiSourceFrameArrived += Reader_MultiSourceFrameArrived;
//grab the audio stream
IReadOnlyList<AudioBeam> audioBeamList = this._sensor.AudioSource.AudioBeams;
System.IO.Stream audioStream = audioBeamList[0].OpenInputStream();
//create the convert stream
this.convertStream = new KinectAudioStream(audioStream);
BitmapImage image = new BitmapImage();
image.BeginInit();
image.UriSource = new Uri("jason.png", UriKind.RelativeOrAbsolute);
image.EndInit();
ImageBrush myImageBrush = new ImageBrush(image);
images[0] = myImageBrush;
BitmapImage image1 = new BitmapImage();
image1.BeginInit();
image1.UriSource = new Uri("ironman.jpg", UriKind.RelativeOrAbsolute);
image1.EndInit();
ImageBrush myImageBrush1 = new ImageBrush(image1);
images[1] = myImageBrush1;
BitmapImage image2 = new BitmapImage();
image2.BeginInit();
image2.UriSource = new Uri("scream.JPG", UriKind.RelativeOrAbsolute);
image2.EndInit();
ImageBrush myImageBrush2 = new ImageBrush(image2);
images[2] = myImageBrush2;
BitmapImage image3 = new BitmapImage();
image3.BeginInit();
image3.UriSource = new Uri("ventena.jpg", UriKind.RelativeOrAbsolute);
image3.EndInit();
ImageBrush myImageBrush3 = new ImageBrush(image3);
images[3] = myImageBrush3;
images[4] = null;
random = new Random();
}
RecognizerInfo ri = TryGetKinectRecognizer();
if (null != ri)
{
//this.recognitionSpans = new List<Span> { forwardSpan, backSpan, rightSpan, leftSpan };
this.speechEngine = new SpeechRecognitionEngine(ri.Id);
//Use this code to create grammar programmatically rather than froma grammar file.
var directions = new Choices();
directions.Add(new SemanticResultValue("mask", "MASK"));
directions.Add(new SemanticResultValue("masks", "MASK"));
directions.Add(new SemanticResultValue("shirt", "SHIRT"));
directions.Add(new SemanticResultValue("shirts", "SHIRT"));
directions.Add(new SemanticResultValue("upper", "SHIRT"));
directions.Add(new SemanticResultValue("uppers", "SHIRT"));
directions.Add(new SemanticResultValue("pant", "PANT"));
directions.Add(new SemanticResultValue("pants", "PANT"));
directions.Add(new SemanticResultValue("lower", "PANT"));
directions.Add(new SemanticResultValue("lowers", "PANT"));
directions.Add(new SemanticResultValue("change", "CHANGE"));
directions.Add(new SemanticResultValue("changes", "CHANGE"));
directions.Add(new SemanticResultValue("swap", "CHANGE"));
directions.Add(new SemanticResultValue("off", "OFF"));
directions.Add(new SemanticResultValue("offs", "OFF"));
directions.Add(new SemanticResultValue("finish", "DONE"));
directions.Add(new SemanticResultValue("done", "DONE"));
var gb = new GrammarBuilder { Culture = ri.Culture };
gb.Append(directions);
var g = new Grammar(gb);
// Create a grammar from grammar definition XML file.
//var memoryStream = new MemoryStream(Encoding.ASCII.GetBytes(Properties.Resources.SpeechGrammar));
//var g = new Grammar(memoryStream);
this.speechEngine.LoadGrammar(g);
this.speechEngine.SpeechRecognized += this.SpeechRecognized;
this.speechEngine.SpeechRecognitionRejected += this.SpeechRejected;
// let the convertStream know speech is going active
this.convertStream.SpeechActive = true;
// For long recognition sessions (a few hours or more), it may be beneficial to turn off adaptation of the acoustic model.
// This will prevent recognition accuracy from degrading over time.
////speechEngine.UpdateRecognizerSetting("AdaptationOn", 0);
this.speechEngine.SetInputToAudioStream(
this.convertStream, new SpeechAudioFormatInfo(EncodingFormat.Pcm, 16000, 16, 1, 32000, 2, null));
this.speechEngine.RecognizeAsync(RecognizeMode.Multiple);
}
else
{
}
}
private void Window_Closed(object sender, EventArgs e)
{
if (this.convertStream != null)
{
this.convertStream.SpeechActive = false;
}
if (this.speechEngine != null)
{
this.speechEngine.SpeechRecognized -= this.SpeechRecognized;
this.speechEngine.SpeechRecognitionRejected -= this.SpeechRejected;
this.speechEngine.RecognizeAsyncStop();
}
if (_reader != null)
{
_reader.Dispose();
}
if (_sensor != null)
{
_sensor.Close();
}
}
/// <summary>
/// Remove any highlighting from recognition instructions.
/// </summary>
private void ClearRecognitionHighlights()
{
/*
foreach (Span span in this.recognitionSpans)
{
span.Foreground = (Brush)this.Resources[MediumGreyBrushKey];
span.FontWeight = FontWeights.Normal;
}*/
}
private void screenShot()
{
if (this.colorBitmap != null)
{
// create a png bitmap encoder which knows how to save a .png file
BitmapEncoder encoder = new PngBitmapEncoder();
// create frame from the writable bitmap and add to encoder
encoder.Frames.Add(BitmapFrame.Create(colorBitmap));
string time = System.DateTime.Now.ToString("hh'-'mm'-'ss", CultureInfo.CurrentUICulture.DateTimeFormat);
string myPhotos = Environment.GetFolderPath(Environment.SpecialFolder.MyPictures);
string path = System.IO.Path.Combine(myPhotos, "KinectScreenshot-Color-" + time + ".png");
// write the new file to disk
try
{
// FileStream is IDisposable
using (FileStream fs = new FileStream(path, FileMode.Create))
{
encoder.Save(fs);
}
//this.StatusText = string.Format(Properties.Resources.SavedScreenshotStatusTextFormat, path);
}
catch (IOException)
{
//this.StatusText = string.Format(Properties.Resources.FailedScreenshotStatusTextFormat, path);
}
}
}
/// <summary>
/// Handler for recognized speech events.
/// </summary>
/// <param name="sender">object sending the event.</param>
/// <param name="e">event arguments.</param>
private void SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
{
// Speech utterance confidence below which we treat speech as if it hadn't been heard
const double ConfidenceThreshold = 0.3;
this.ClearRecognitionHighlights();
if (e.Result.Confidence >= ConfidenceThreshold)
{
switch (e.Result.Semantics.Value.ToString())
{
case "MASK":
state = 1;
break;
case "SHIRT":
state = 2;
break;
case "PANT":
state = 3;
break;
case "OFF":
if (state == 1)
{
num = 4;
}
else if (state == 2)
{
}
else if (state == 3)
{
}
break;
case "CHANGE":
if (state == 1)
{
check = true;
}
else if (state == 2)
{
}
else if (state == 3)
{
}
break;
case "DONE":
screenShot();
break;
}
}
}
/// <summary>
/// Handler for rejected speech events.
/// </summary>
/// <param name="sender">object sending the event.</param>
/// <param name="e">event arguments.</param>
private void SpeechRejected(object sender, SpeechRecognitionRejectedEventArgs e)
{
this.ClearRecognitionHighlights();
}
void Reader_MultiSourceFrameArrived(object sender, MultiSourceFrameArrivedEventArgs e)
{
var reference = e.FrameReference.AcquireFrame();
// Color
colorFrame = reference.ColorFrameReference.AcquireFrame();
var depthFrame = reference.DepthFrameReference.AcquireFrame();
var bodyIndexFrame = reference.BodyIndexFrameReference.AcquireFrame();
var bodyFrame = reference.BodyFrameReference.AcquireFrame();
if (colorFrame != null)
{
colorFrameDescription = colorFrame.FrameDescription;
this.colorBitmap = new WriteableBitmap(colorFrameDescription.Width, colorFrameDescription.Height, 96.0, 96.0, PixelFormats.Bgr32, null);
//camera1.Source = colorFrame.ToBitmap();
if (colorFrame != null && depthFrame != null && bodyIndexFrame != null)
{
camera.Source = _backgroundRemoval.GreenScreen(colorFrame, depthFrame, bodyIndexFrame);
//camera1.Source = colorFrame.ToBitmap();
//colorFrame.Dispose();
depthFrame.Dispose();
bodyIndexFrame.Dispose();
}
//colorFrame.Dispose();
if (bodyFrame != null)
{
canvas.Children.Clear();
_bodies = new Body[bodyFrame.BodyFrameSource.BodyCount];
bodyFrame.GetAndRefreshBodyData(_bodies);
foreach (var body in _bodies)
{
if (body.IsTracked)
{
if (player == 0)
{
player = body.TrackingId;
}
if (body.TrackingId == player)
{
//Joints
Joint head = body.Joints[JointType.Head];
Joint neck = body.Joints[JointType.Neck];
Joint leftHand = body.Joints[JointType.HandLeft];
Joint rightHand = body.Joints[JointType.HandRight];
Joint spineMid = body.Joints[JointType.SpineMid];
Joint spineBase = body.Joints[JointType.SpineBase];
Joint spineShoulder = body.Joints[JointType.SpineShoulder];
Joint leftShoulder = body.Joints[JointType.ShoulderLeft];
Joint rightShoulder = body.Joints[JointType.ShoulderRight];
if (head.TrackingState == TrackingState.Tracked && neck.TrackingState == TrackingState.Tracked && spineMid.TrackingState == TrackingState.Tracked && spineBase.TrackingState == TrackingState.Tracked && spineShoulder.TrackingState == TrackingState.Tracked && leftShoulder.TrackingState == TrackingState.Tracked && rightShoulder.TrackingState == TrackingState.Tracked)
{
int colorWidth = colorFrame.FrameDescription.Width;
int colorHeight = colorFrame.FrameDescription.Height;
colordata = new byte[colorWidth * colorHeight * ((PixelFormats.Bgr32.BitsPerPixel + 7) / 8)];
if ((colorWidth * colorHeight * ((PixelFormats.Bgr32.BitsPerPixel + 7) / 8)) == colordata.Length)
{
if (colorFrame.RawColorImageFormat == ColorImageFormat.Bgra)
{
colorFrame.CopyRawFrameDataToArray(colordata);
}
else
{
colorFrame.CopyConvertedFrameDataToArray(colordata, ColorImageFormat.Bgra);
}
}
//cameraspacepoints
CameraSpacePoint headPt = head.Position;
CameraSpacePoint neckPt = neck.Position;
CameraSpacePoint leftHandPt = leftHand.Position;
CameraSpacePoint rightHandPt = rightHand.Position;
CameraSpacePoint midSpinePt = spineMid.Position;
CameraSpacePoint baseSpinePt = spineBase.Position;
CameraSpacePoint shoulderSpinePt = spineShoulder.Position;
CameraSpacePoint leftShoulderPt = leftShoulder.Position;
CameraSpacePoint rightShoulderPt = rightShoulder.Position;
//Points
Point headPoint = new Point();
Point neckPoint = new Point();
Point leftHandPoint = new Point();
Point rightHandPoint = new Point();
Point midSpinePoint = new Point();
Point baseSpinePoint = new Point();
Point shoulderSpinePoint = new Point();
Point leftShoulderPoint = new Point();
Point rightShoulderPoint = new Point();
//ColorSpacePoint colorPoint = _sensor.CoordinateMapper.MapCameraPointToColorSpace(pt);
DepthSpacePoint depthHead = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(headPt);
DepthSpacePoint depthNeck = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(neckPt);
DepthSpacePoint depthleftHand = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(leftHandPt);
DepthSpacePoint depthrightHand = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(rightHandPt);
DepthSpacePoint depthSpineMid = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(midSpinePt);
DepthSpacePoint depthSpineBase = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(baseSpinePt);
DepthSpacePoint depthSpineShoulder = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(shoulderSpinePt);
DepthSpacePoint depthLeftShoulder = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(leftShoulderPt);
DepthSpacePoint depthRightShoulder = _sensor.CoordinateMapper.MapCameraPointToDepthSpace(rightShoulderPt);
headPoint.X = float.IsInfinity(depthHead.X) ? 0 : depthHead.X;
headPoint.Y = float.IsInfinity(depthHead.Y) ? 0 : depthHead.Y;
neckPoint.X = float.IsInfinity(depthNeck.X) ? 0 : depthNeck.X;
neckPoint.Y = float.IsInfinity(depthNeck.Y) ? 0 : depthNeck.Y;
leftHandPoint.X = float.IsInfinity(depthleftHand.X) ? 0 : depthleftHand.X;
leftHandPoint.Y = float.IsInfinity(depthleftHand.Y) ? 0 : depthleftHand.Y;
rightHandPoint.X = float.IsInfinity(depthrightHand.X) ? 0 : depthrightHand.X;
rightHandPoint.Y = float.IsInfinity(depthrightHand.Y) ? 0 : depthrightHand.Y;
midSpinePoint.X = float.IsInfinity(depthSpineMid.X) ? 0 : depthSpineMid.X;
midSpinePoint.Y = float.IsInfinity(depthSpineMid.Y) ? 0 : depthSpineMid.Y;
baseSpinePoint.X = float.IsInfinity(depthSpineBase.X) ? 0 : depthSpineBase.X;
baseSpinePoint.Y = float.IsInfinity(depthSpineBase.Y) ? 0 : depthSpineBase.Y;
shoulderSpinePoint.X = float.IsInfinity(depthSpineShoulder.X) ? 0 : depthSpineShoulder.X;
shoulderSpinePoint.Y = float.IsInfinity(depthSpineShoulder.Y) ? 0 : depthSpineShoulder.Y;
leftShoulderPoint.X = float.IsInfinity(depthLeftShoulder.X) ? 0 : depthLeftShoulder.X;
leftShoulderPoint.Y = float.IsInfinity(depthLeftShoulder.Y) ? 0 : depthLeftShoulder.Y;
rightShoulderPoint.X = float.IsInfinity(depthRightShoulder.X) ? 0 : depthRightShoulder.X;
rightShoulderPoint.Y = float.IsInfinity(depthRightShoulder.Y) ? 0 : depthRightShoulder.Y;
Rectangle rectangle = new Rectangle
{
Width = 100,
Height = 20,
Fill = new SolidColorBrush(Colors.Blue)
};
if (state == 1)
{
Canvas.SetLeft(rectangle, (headPoint.X) - rectangle.Width / 2 + 100);
Canvas.SetTop(rectangle, (headPoint.Y) - (rectangle.Height) / 2 + 20);
canvas.Children.Add(rectangle);
}
else if (state == 2)
{
Canvas.SetLeft(rectangle, (midSpinePoint.X) - rectangle.Width / 2 + 100);
Canvas.SetTop(rectangle, (midSpinePoint.Y) - (rectangle.Height) / 2 + 20);
canvas.Children.Add(rectangle);
}
else if (state == 3)
{
Canvas.SetLeft(rectangle, (baseSpinePoint.X) - rectangle.Width / 2 + 100);
Canvas.SetTop(rectangle, (baseSpinePoint.Y) - (rectangle.Height) / 2 + 20);
canvas.Children.Add(rectangle);
}
Canvas myCanvas = new Canvas();
myCanvas.Width = widthMask;
myCanvas.Height = lengthMask;
if (check)
{
num = random.Next(0, 3);
myCanvas.Background = images[num];
check = false;
}
else
{
myCanvas.Background = images[num];
}
Canvas.SetLeft(myCanvas, (headPoint.X) - myCanvas.Width / 2);
Canvas.SetTop(myCanvas, (headPoint.Y) - 5 - (myCanvas.Height) / 2);
canvas.Children.Add(myCanvas);
widthMask = (int)(rightShoulderPoint.X - leftShoulderPoint.X) * 8 / 10;
lengthMask = (int)(rightShoulderPoint.X - leftShoulderPoint.X) * 8 / 10;
//this.number.Content = difference.ToString();
double headSpine = headPoint.X - midSpinePoint.X;
//head tilting
canvas.RenderTransform = new RotateTransform(120 * (headSpine) / 80, headPoint.X, headPoint.Y);
int[] A;
A = new int[25];
int[] B;
B = new int[25];
int[] C;
C = new int[25];
int[] D;
D = new int[25];
//shirt
for (int i = 0; i < 2; i++)
{
for (int j = 0; j < 2; j++)
{
try{
A[i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((midSpinePoint.Y * 2) - 10 + 5 * i))];
B[i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((midSpinePoint.Y * 2) - 10 + 5 * i)) + 1];
C[i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((midSpinePoint.Y * 2) - 10 + 5 * i)) + 2];
D[i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((midSpinePoint.Y * 2) - 10 + 5 * i)) + 3];
}
catch{
continue;
}
}
}
//pants
for (int i = 0; i < 2; i++)
{
for (int j = 0; j < 2; j++)
{
A[9 + i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((baseSpinePoint.Y * 3) + 10 + 5 * i))];
B[9 + i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((baseSpinePoint.Y * 3) + 10 + 5 * i)) + 1];
C[9 + i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((baseSpinePoint.Y * 3) + 10 + 5 * i)) + 2];
D[9 + i + 2 * j] = colordata[4 * ((int)(midSpinePoint.X * 4 - 10 + 5 * i) + colorWidth * (int)((baseSpinePoint.Y * 3) + 10 + 5 * i)) + 3];
}
}
//shirt
for (int x = (int)(midSpinePoint.X * 4 - baseSpinePoint.Y * 2 + shoulderSpinePoint.Y * 2); x < (midSpinePoint.X * 4 + baseSpinePoint.Y * 2 - shoulderSpinePoint.Y * 2); x += 4)
{
for (int y = (int)(shoulderSpinePoint.Y - 10) * 2; y < (baseSpinePoint.Y + 10) * 3; y += 4)
{
int colorA = 0;
int colorB = 0;
int colorC = 0;
int colorD = 0;
if (4 * (x + colorWidth * y) > (colorWidth * colorHeight * ((PixelFormats.Bgr32.BitsPerPixel + 7) / 8)))
{
continue;
}
try
{
colorA = colordata[4 * (x + colorWidth * y)];
colorB = colordata[4 * (x + colorWidth * y) + 1];
colorC = colordata[4 * (x + colorWidth * y) + 2];
colorD = colordata[4 * (x + colorWidth * y) + 3];
}
catch
{
continue;
}
for (int i = 0; i < 4; i++)
{
if ((A[i] >= colorA - 10) && (A[i] <= colorA + 10) && (B[i] >= colorB - 10) && (B[i] <= colorB + 10) && (C[i] >= colorC - 10) && (C[i] <= colorC + 10) && (D[i] >= colorD - 10) && (D[i] <= colorD + 10))
{
for (int ind1 = 0; ind1 < 4; ind1++)
{
for (int ind2 = 0; ind2 < 4; ind2++)
{
try
{
colordata[4 * (x + ind1 + colorWidth * (y + ind2))] = 0x99;
colordata[4 * (x + ind1 + colorWidth * (y + ind2)) + 1] = 0x00;
colordata[4 * (x + ind1 + colorWidth * (y + ind2)) + 2] = 0x99;
colordata[4 * (x + ind1 + colorWidth * (y + ind2)) + 3] = 0xff;
}
catch
{
continue;
}
}
}
break;
}
}
}
}
//pants
for (int x = (int)(midSpinePoint.X * 4 - baseSpinePoint.Y * 2 + shoulderSpinePoint.Y * 2); x < (midSpinePoint.X * 4 + baseSpinePoint.Y * 2 - shoulderSpinePoint.Y * 2); x += 4)
{
for (int y = (int)(baseSpinePoint.Y + 10) * 3; y < (baseSpinePoint.Y + 10) * 6; y += 4)
{
if (4 * (x + colorWidth * y) > (colorWidth * colorHeight * ((PixelFormats.Bgr32.BitsPerPixel + 7) / 8)))
{
continue;
}
int colorA = colordata[4 * (x + colorWidth * y)];
int colorB = colordata[4 * (x + colorWidth * y) + 1];
int colorC = colordata[4 * (x + colorWidth * y) + 2];
int colorD = colordata[4 * (x + colorWidth * y) + 3];
for (int i = 9; i < 13; i++)
{
if ((A[i] >= colorA - 10) && (A[i] <= colorA + 10) && (B[i] >= colorB - 10) && (B[i] <= colorB + 10) && (C[i] >= colorC - 10) && (C[i] <= colorC + 10) && (D[i] >= colorD - 10) && (D[i] <= colorD + 10))
{
for (int ind1 = 0; ind1 < 4; ind1++)
{
for (int ind2 = 0; ind2 < 4; ind2++)
{
try
{
colordata[4 * (x + ind1 + colorWidth * (y + ind2))] = 0x00;
colordata[4 * (x + ind1 + colorWidth * (y + ind2)) + 1] = 0x99;
colordata[4 * (x + ind1 + colorWidth * (y + ind2)) + 2] = 0x00;
colordata[4 * (x + ind1 + colorWidth * (y + ind2)) + 3] = 0xff;
}
catch
{
continue;
}
}
}
break;
}
}
}
}
int stride = colorWidth * PixelFormats.Bgr32.BitsPerPixel / 8;
Canvas moneyBox = new Canvas();
moneyBox.Width = 100;
moneyBox.Height = 100;
BitmapImage image = new BitmapImage();
image.BeginInit();
image.UriSource = new Uri("money.jpeg", UriKind.RelativeOrAbsolute);
image.EndInit();
ImageBrush myImageBrush = new ImageBrush(image);
moneyBox.Background = myImageBrush;
Canvas.SetLeft(moneyBox, 200);
Canvas.SetTop(moneyBox, 200);
canvas1.Children.Add(moneyBox);
//camera1.Source = colorFrame.ToBitmap();
camera1.Source = BitmapSource.Create(colorWidth, colorHeight, 96, 96, PixelFormats.Bgr32, null, colordata, stride);
colorFrame.Dispose();
}
}
//colorFrame.Dispose();
}
}
bodyFrame.Dispose();
}
}
}
#endregion
}
}