public static WriteableBitmap ToMono(this Pixel <float> src, byte[] buf = null, WriteableBitmap dst = null)
{
if (buf == null)
{
buf = new byte[src.Width * src.Height * 3];
}
if (dst == null)
{
dst = new WriteableBitmap(src.Width, src.Height, 96, 96, PixelFormats.Bgr24, null);
}
using (Mat matsrc = new Mat(src.Height, src.Width, MatType.CV_8UC3, buf))
{
int c = 0;
for (int y = 0; y < src.Height; y++)
{
for (int x = 0; x < src.Width; x++)
{
var hoge = src[x, y].ConvertToByte();
buf[c++] = hoge;
buf[c++] = hoge;
buf[c++] = hoge;
}
}
WriteableBitmapConverter.ToWriteableBitmap(matsrc, dst);
}
return(dst);
}
public void ToMatGray8()
{
const int width = 3;
const int height = 4;
var buffer = new byte[height, width]
{
{ 1, 2, 3 },
{ 4, 5, 6 },
{ 7, 8, 9 },
{ 10, 11, 12 },
};
var wb = new WriteableBitmap(width, height, 92, 92, PixelFormats.Gray8, null);
wb.WritePixels(new Int32Rect(0, 0, width, height), buffer, width, 0);
using var mat = WriteableBitmapConverter.ToMat(wb);
Assert.Equal(MatType.CV_8UC1, mat.Type());
Assert.Equal(width, mat.Cols);
Assert.Equal(height, mat.Rows);
var indexer = mat.GetUnsafeGenericIndexer <byte>();
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
Assert.True(buffer[y, x] == indexer[y, x],
$"wb[{y},{x}] = {buffer[y, x]}, mat[{y},{x}] = {indexer[y, x]}");
}
}
}
private void DisplayImage(Mat image)
{
WriteableBitmap wb = new WriteableBitmap(image.Width, image.Height, 96, 96, PixelFormats.Bgr24, null);
WriteableBitmapConverter.ToWriteableBitmap(image, wb);
ShowImage.Source = wb;
}
public static WriteableBitmap ToColor(this Pixel <int> src, ColorConversionCodes cc, byte[] buf = null, WriteableBitmap dst = null)
{
byte[] bufraw = null;
if (buf == null)
{
buf = new byte[src.Width * src.Height * 3];
}
if (bufraw == null)
{
bufraw = new byte[src.Width * src.Height];
}
if (dst == null)
{
dst = new WriteableBitmap(src.Width, src.Height, 96, 96, PixelFormats.Bgr24, null);
}
var matrix = new float[] { 2, 0, 0, 0, 1, 0, 0, 0, 1.8F };
for (int i = 0; i < src.pixel.Length; i++)
{
var hoge = (byte)(src.pixel[i] > 255 ? 255 : src.pixel[i] < 0 ? 0 : src.pixel[i]);
bufraw[i] = hoge;
}
using (Mat matmatrix = new Mat(3, 3, MatType.CV_32FC1, matrix))
using (Mat matraw = new Mat(src.Height, src.Width, MatType.CV_8UC1, bufraw))
using (Mat mat = new Mat(src.Height, src.Width, MatType.CV_8UC3, buf))
{
Cv2.CvtColor(matraw, mat, cc);
Cv2.Transform(mat, mat, matmatrix);
WriteableBitmapConverter.ToWriteableBitmap(mat, dst);
}
return(dst);
}
public static ExtraImageInfo CreateImageFromFile(string fileName)
{
WriteableBitmap resultImage = null;
double dpiX = OS.SystemDpiX;
double dpiY = OS.SystemDpiY;
ExtraImageInfo extraImageInfo = WriteableBitmapCreator.CreateWriteableBitmapFromFile(fileName, dpiX, dpiY);
bool isImageFormatGrayScale = WriteableBitmapWrapper.IsImageFormatGrayScale(extraImageInfo.Image);
if (isImageFormatGrayScale)
{
resultImage = extraImageInfo.Image;
}
else if (extraImageInfo.Image.Format != PixelFormats.Bgra32)
{
PixelFormat pixelFormat = PixelFormats.Bgra32;
WriteableBitmap newImage = WriteableBitmapConverter.ConvertWriteableBitmap(extraImageInfo.Image, pixelFormat);
resultImage = newImage;
extraImageInfo.Image = resultImage;
}
return(extraImageInfo);
}
private void Done(object sender, RoutedEventArgs e)
{
string imgPath = AppDomain.CurrentDomain.BaseDirectory + "instTest";
//string imgPath = @"C:\Users\Won\Documents\instTest";
int count = 1;
foreach (ImagePreperationItem ipi in IpiList)
{
// identify chosen signal
int index = ipi.SignalIndex;
string signalSt = SignalList[index];
string signalName = SignalToNameDictionary[signalSt];
ipi.SignalName = signalName;
// Resize and locate image to MATLAB directory.
IplImage img = new IplImage(ipi.ImageName);
CvSize size = new CvSize(ImgWidth, ImgHeight);
IplImage resized = new IplImage(size, img.Depth, img.NChannels);
Cv.Resize(img, resized);
WriteableBitmap rawImage = WriteableBitmapConverter.ToWriteableBitmap(resized);
FileStream fs = new System.IO.FileStream(imgPath + @"\s1\" + count + ".jpg", System.IO.FileMode.Create);
JpegBitmapEncoder pbe = new JpegBitmapEncoder();
pbe.Frames.Add(BitmapFrame.Create(rawImage));
pbe.Save(fs);
fs.Dispose();
count++;
}
/*
* MATLAB starts learning image
*/
MLApp.MLApp matlab = new MLApp.MLApp();
Console.WriteLine(@"cd '" + imgPath + "'");
matlab.Execute(@"cd '" + imgPath + "'");
// Define the output
object result = null;
int imgCount = count - 1;
// Call the MATLAB function learning
matlab.Feval("learning", 5, out result, imgCount);
// Display result
parameters = result as object[];
ImageParameters[0] = imgCount;
ImageParameters[1] = ImgWidth;
ImageParameters[2] = ImgHeight;
string savePath = AppDomain.CurrentDomain.BaseDirectory + "params";
// Save parameters and IPI list into file.
WriteoutIpiList();
WriteoutMatlabPrams();
}
//画像の表示
void SetInputImage(Mat inputImage)
{
this.Dispatcher.BeginInvoke(new Action(() =>
{
this.InputImage.Source = WriteableBitmapConverter.ToWriteableBitmap(inputImage);
//this.DrawLine(this.GetEllipsePosition(InOutPutMode.input), InOutPutMode.input);
}));
}
private void UpdatePreviewBitmap()
{
using (Mat mat = new Mat(_page.Image.AbsoluteMasterPath, ImreadModes.Unchanged))
using (Mat ext = CoverSegmenting.ExtractRect(mat, new OpenCvSharp.Rect(CoverLeftSide.Offset, 0, CoverRightSide.Offset - CoverLeftSide.Offset + 1, mat.Height)))
{
PreviewBitmap = WriteableBitmapConverter.ToWriteableBitmap(ext);
}
}
private static unsafe WriteableBitmap CopyBitmap(PageViewModel _page, CoverSideCandidate CoverLeftSide, CoverSideCandidate CoverRightSide)
{
using (Mat mat = new Mat(_page.Image.AbsoluteMasterPath, ImreadModes.Unchanged))
using (Mat ext = ExtractRect(mat, new OpenCvSharp.Rect(CoverLeftSide.Offset, 0, CoverRightSide.Offset - CoverLeftSide.Offset + 1, mat.Height)))
{
return(WriteableBitmapConverter.ToWriteableBitmap(ext));
}
}
public void player()
{
string path = AppDomain.CurrentDomain.BaseDirectory;
string fullpath = System.IO.Path.Combine(path, "cheerleading_0001.mp4");
VideoCapture video = VideoCapture.FromFile(fullpath);
var asfe = video.Get(CaptureProperty.FrameCount);
if (!video.IsOpened())
{
MessageBox.Show("not open");
return;
}
video.Set(CaptureProperty.FrameWidth, video.FrameWidth);
video.Set(CaptureProperty.FrameHeight, video.FrameHeight);
double fps = video.Get(CaptureProperty.Fps);
//프레임 진행
int count = 0;
DateTime start = DateTime.Now;
while (true)
{
Mat frame = new Mat();
if (video.Read(frame))
{
if (frame.Width == 0 && frame.Height == 0)
{
break;
}
count++;
TimeSpan playTime = DateTime.Now - start;
TimeSpan targetTime = TimeSpan.FromSeconds(count / fps);
if (targetTime < playTime)
{
//Console.WriteLine($"{playTime}, {targetTime}");
continue;
}
Dispatcher.Invoke(new Action(delegate()
{
var a = WriteableBitmapConverter.ToWriteableBitmap(frame, 96, 96, PixelFormats.Bgr24, null);
//img_player.Source = a;
}));
playTime = DateTime.Now - start;
if (targetTime > playTime)
{
Thread.Sleep(targetTime - playTime);
}
}
}
}
/// <summary>
/// Открывает выбор камер
/// </summary>
private void CameraChanger_Click(object sender, RoutedEventArgs e)
{
if (Start.IsEnabled == false)
{
Stop_Click(new object(), new RoutedEventArgs());
}
if (cameraMode == StreamSrc.Video)
{
var f = new CameraSelectWindow().GetCam();
if (f == "")
{
return;
}
try
{
VideoCapture v;
if (f == "USB")
{
cameraMode = StreamSrc.USB_cam;
v = VideoCapture.FromCamera(CaptureDevice.Any);
filePath = "0";
camM = true;
}
else
{
cameraMode = StreamSrc.IP_cam;
filePath = f;
v = VideoCapture.FromFile(filePath);
camM = true;
}
var r = new Mat();
v.Read(r);
myImage.Source = WriteableBitmapConverter.ToWriteableBitmap(r);
r.Dispose();
v.Dispose();
CameraChanger.Content = "Режим камеры активирован";
CameraChanger.Background = Brushes.Green;
labelCurState.Content = "Получение потока с камеры";
}
catch
{
MessageBox.Show("Камера недоступна");
cameraMode = StreamSrc.Video;
}
}
else
{
labelCurState.Content = "Чтение видео-файла";
CameraChanger.Content = "Выбор камеры";
CameraChanger.Background = Brushes.LightGray;
cameraMode = StreamSrc.Video;
}
}
public MainWindow()
{
InitializeComponent();
//ViewModel からのｽｸﾘﾌﾟﾄ実行用のdelegate
DataContextChanged += (o, e) =>
{
ViewModel vm = DataContext as ViewModel;
if (vm != null)
{
vm._ExecuteScript += (sender, arg) =>
{
Dispatcher.Invoke(new Action(() => { pythonConsole.Pad.Console.RunStatements(arg.cmd); }));
};
vm._DrawCameraBitmap += (sender, arg) =>
{
Dispatcher.BeginInvoke(new Action(() =>
{
IplImage img = vm.VisionControl.GetCameraImage();
DrawCameraViewEventArgs a = arg as DrawCameraViewEventArgs;
if (a._draw == 1)
{
CvRect rect = new CvRect(a._x1, a._y1, a._x2, a._y2);
img.DrawRect(rect, new CvScalar(255, 0, 0), 2);
}
else if (a._draw == 2)
{
int x1 = a._x1 - a._x2 / 2;
int x2 = a._x1 + a._x2 / 2;
int y1 = a._y1 - a._y2 / 2;
int y2 = a._y1 + a._y2 / 2;
img.DrawLine(x1, a._y1, x2, a._y1, new CvScalar(255, 0, 0), 2);
img.DrawLine(a._x1, y1, a._x1, y2, new CvScalar(255, 0, 0), 2);
}
if (VM.CenterLine == true)
{
img.DrawLine(0, 320, 640, 320, new CvScalar(255, 0, 0, 0), 2);
img.DrawLine(320, 0, 320, 640, new CvScalar(255, 0, 0, 0), 2);
}
WriteableBitmapConverter.ToWriteableBitmap(img, _col_wb);
cameraImage.Source = _col_wb;
img.Dispose();
//cameraImage.Source = vm.VisionControl.GetCameraBitmap();
}));
};
}
};
pythonConsole.Pad.Host.ConsoleCreated += new PythonConsoleControl.ConsoleCreatedEventHandler(Host_ConsoleCreated);
}
public static WriteableBitmap LoadBitmap(string filename)
{
using (Mat mat = new Mat(filename, ImreadModes.Unchanged))
using (Mat bgra = new Mat())
{
Cv2.CvtColor(mat, bgra, ColorConversionCodes.BGR2BGRA);
return(WriteableBitmapConverter.ToWriteableBitmap(bgra));
}
}
/// <summary>
/// Загружает первый кадр в imageBox
/// </summary>
private void GetFirstFrame()
{
var v = VideoCapture.FromFile(filePath);
var r = new Mat();
v.Read(r);
myImage.Source = WriteableBitmapConverter.ToWriteableBitmap(r);
r.Dispose();
v.Dispose();
}
public static void ToWriteableBitmap(this Mat mat)
{
/*WriteableBitmap wrb = new WriteableBitmap(mat.Width, mat.Height, 96, 96, System.Windows.Media.PixelFormats.Bgr32, null);
* var bytes = mat.ToBytes();
* wrb.WritePixels(new System.Windows.Int32Rect(0, 0, mat.Width, mat.Height), bytes, 3, 0);*/
//return wrb;
/*var ms = new MemoryStream(mat.ToBytes());
* System.Drawing.Bitmap bmp = new System.Drawing.Bitmap(ms);*/
var b = WriteableBitmapConverter.ToWriteableBitmap(mat);
}
public ImagePreperation(CANdb candb)
{
ImgWidth = 1280;
ImgHeight = 720;
IpiList = new List <ImagePreperationItem>();
ImageParameters = new int[3];
// Get all signal from candb instance, this list is binded to dropbox in ListView
List <Signal> signals = candb.GetAllSignal();
SignalList = new List <string>();
//Dictionary is used to convert dropbox label to actuall signal name
foreach (Signal s in signals)
{
SignalList.Add(s.ToString());
SignalToNameDictionary.Add(s.ToString(), s.Name);
}
ImageDictionary = new Dictionary <string, WriteableBitmap>();
SignalDictionary = new Dictionary <string, string>();
//Get current location of app
string initPath = AppDomain.CurrentDomain.BaseDirectory;
//Ask user to specify the folder of images
FolderBrowserDialog fbd = new FolderBrowserDialog();
fbd.SelectedPath = initPath;
System.Windows.Forms.DialogResult result = fbd.ShowDialog();
string dirPath = fbd.SelectedPath;
string[] paths = Directory.GetFiles(dirPath);
NameList = new List <string>(paths);
// Create IPI list with image and signal name.
// IPI list is binded to ListView so any change in the form is directly changes value in IPI list.
foreach (string name in NameList)
{
//Resize image so that it fits to window
IplImage img = new IplImage(name);
CvSize size = new CvSize(427, 240);
IplImage resized = new IplImage(size, img.Depth, img.NChannels);
Cv.Resize(img, resized);
//WritableBitmap is compatible with Image Window of WPF
WriteableBitmap wb = WriteableBitmapConverter.ToWriteableBitmap(resized);
ImageDictionary.Add(name, wb);
IpiList.Add(new ImagePreperationItem(wb, name));
}
InitializeComponent();
}
private void worker_ProgressChanged(object sender, ProgressChangedEventArgs e)
{
// frameがe.UserStateプロパティにセットされて渡されてくる
var image = (IplImage)e.UserState;
// Sourceプロパティにセットするため、frameをWriteableBitmapへと変換(Bitmapだと型変換エラー)
// WriteableBitmapConverterを使うには、
// usingディレクティブにOpenCvSharp.Extensionsを追加
// (OpenCvSharp.UserInterface.dll内)
Monitor.Source = WriteableBitmapConverter.ToWriteableBitmap(image);
}
/// <summary>
/// 取り込んだ画像をRGBﾋﾞｯﾄﾏｯﾌﾟで取得する
/// </summary>
/// <returns></returns>
public WriteableBitmap GetCameraBitmap()
{
//RGB画像へ変換
Cv2.CvtColor(_mat, _col_mat, ColorConversion.GrayToRgb);
IplImage img = _col_mat.ToIplImage();
WriteableBitmapConverter.ToWriteableBitmap(img, _col_wb);
img.Dispose();
return(_col_wb);
}
void CaptureVideo(object filePathVideo)
{
// YOLO setting
int yoloWidth = pictureBoxIpl1.Width, yoloHeight = pictureBoxIpl1.Height;
VideoCapture videocapture;
Mat image = new Mat();
WriteableBitmap wb = new WriteableBitmap(yoloWidth, yoloHeight, 96, 96, PixelFormats.Bgr24, null);
byte[] imageInBytes = new byte[(int)(yoloWidth * yoloHeight * image.Channels())];
using (var yoloWrapper = new YoloWrapper(config, weights, label))
{
using (videocapture = new VideoCapture((string)filePathVideo))
{
int sleepTime = (int)Math.Round(1000 / videocapture.Fps);
using (Mat imageOriginal = new Mat())
{
while (true)
{
// read a single frame and convert the frame into a byte array
videocapture.Read(imageOriginal);
videocapture.Read(imageOriginal);
image = imageOriginal.Resize(new OpenCvSharp.Size(yoloWidth, yoloHeight));
if (image.Empty())
{
break;
}
imageInBytes = image.ToBytes();
// conduct object detection and display the result
var items = yoloWrapper.Detect(imageInBytes);
count = 0;
// get result
GetValueInImage(items, image);
var countVehicle = $"Vehicle count: {count}";
image.PutText(countVehicle, new OpenCvSharp.Point(0, 50), HersheyFonts.HersheyTriplex, 1.5, colorCount);
// display the detection result
WriteableBitmapConverter.ToWriteableBitmap(image, wb);
// pictureBoxIpl1.Image = BitmapFromSource(wb);
Bitmap bitmap = BitmapFromSource(wb);
SetImage(bitmap);
Cv2.WaitKey(0);
}
}
}
}
}
public void fn_SetImage(Mat mat, string strTitle = "Image_")
{
this.Title = strTitle;
ImageBrush ib = new ImageBrush(WriteableBitmapConverter.ToWriteableBitmap(mat));
ib.Stretch = Stretch.None;
canvas.Width = ib.ImageSource.Width;
canvas.Height = ib.ImageSource.Height;
canvas.Background = ib;
this.Width = canvas.Width + 40;
this.Height = canvas.Height + 40;
}
public Mat fn_GetImage()
{
Mat matRtn = null;
ImageBrush ib = canvas.Background as ImageBrush;
if (ib != null)
{
WriteableBitmap wb = ib.ImageSource as WriteableBitmap;
if (wb != null)
{
matRtn = WriteableBitmapConverter.ToMat(wb);
}
}
return(matRtn);
}
private void button1_Click(object sender, RoutedEventArgs e)
{
int a, b, c, d;
a = 5;
b = 5;
c = 0;
d = addValue(a, b, ref c);
OpenFileDialog fDlg = new OpenFileDialog();
string strFileName = "";
fDlg.DefaultExt = "BMP";
fDlg.Filter = "그림파일(*.bmp, *.jpg, *.png)|*.bmp;*.jpg;*.png;|모든파일 *.*|*.*";
if (fDlg.ShowDialog() == true)
{
strFileName = fDlg.FileName;
Mat imgSrc = new Mat(strFileName, ImreadModes.Color);
WriteableBitmap bitImg = new WriteableBitmap(imgSrc.Width, imgSrc.Height, 96, 96, PixelFormats.Bgr24, null);
unsafe
{
Byte *pBuffer = (Byte *)imgSrc.Data;
for (a = 0; a < imgSrc.Height; a++)
{
for (b = 0; b < imgSrc.Width; b++)
{
for (c = 0; c < imgSrc.Channels(); c++)
{
pBuffer[a * imgSrc.Width * imgSrc.Channels() + b * imgSrc.Channels() + c] = (Byte)((a * b + c) % 255); //흑백물결무늬
//pBuffer[a * imgSrc.Width * imgSrc.Channels() + b * imgSrc.Channels() + c] = (Byte)((a + b + c) % 255); //흑백사선무늬
//pBuffer[a * imgSrc.Width * imgSrc.Channels() + b * imgSrc.Channels() + c] = (Byte)((a + b * c) % 255); //칼라줄무늬
}
//칼러격자무늬
//pBuffer[a * imgSrc.Width * imgSrc.Channels() + b * imgSrc.Channels() + 0] = (Byte)((a) % 255);
//pBuffer[a * imgSrc.Width * imgSrc.Channels() + b * imgSrc.Channels() + 1] = (Byte)((b) % 255);
//pBuffer[a * imgSrc.Width * imgSrc.Channels() + b * imgSrc.Channels() + 2] = (Byte)((a + b) % 255);
}
}
}
WriteableBitmapConverter.ToWriteableBitmap(imgSrc, bitImg);
image.Source = bitImg;
}
}
public void ToBitmap()
{
using var mat = new Mat(FilePath.Image.Lenna511, ImreadModes.Color); // width % 4 != 0
var wb = WriteableBitmapConverter.ToWriteableBitmap(mat);
var image = new System.Windows.Controls.Image();
image.Source = wb;
var window = new System.Windows.Window();
window.Content = image;
var app = new Application();
app.Run(window);
}
public void ToWriteableBitmap()
{
var expected = new byte[] { 1, 2, 3, 4, 5, 6 };
using (var mat = new Mat(3, 2, MatType.CV_8UC1, expected))
{
var wb = WriteableBitmapConverter.ToWriteableBitmap(mat);
byte[] actual = new byte[6];
wb.CopyPixels(Int32Rect.Empty, actual, mat.Cols, 0);
for (int i = 0; i < expected.Length; i++)
{
Assert.True(expected[i] == actual[i], $"values[{i}] = {expected[i]}, pixels[{i}] = {actual[i]}");
}
}
GC.KeepAlive(expected);
}
public void showCamera()
{
new Thread(CollectFrames).Start();
new Thread(() =>
{
int k = 0;
Thread.Sleep(100);
while (!stop)
{
IplImage img;
bool suc = showFrames.TryDequeue(out img);
if (suc)
{
wpfImage.Dispatcher.BeginInvoke(new Action(() =>
{
k++;
try
{
UpdateImage(wpfImage, WriteableBitmapConverter.ToWriteableBitmap(img, PixelFormats.Bgr24));
if (k % 200 == 0)
{
deng.Fill = new SolidColorBrush(Color.FromRgb(255, 255, 0));
Console.WriteLine(DateTime.Now.ToString("yyyy-MM-dd-HH-mm-ss-fffffff"));
}
if (k % 200 == 100)
{
deng.Fill = new SolidColorBrush(Color.FromRgb(255, 0, 255));
Console.WriteLine(DateTime.Now.ToString("yyyy-MM-dd-HH-mm-ss-fffffff"));
}
}
catch (Exception e) { }
}));
}
//stop = true;
Thread.Sleep(1000 / fps);
}
cap.Dispose();
Console.WriteLine(k + "==");
}).Start();
}
private void Start(object sender, RoutedEventArgs e)
{
testing = true;
//Console.WriteLine(@"cd '" + imgPath + "'");
captureImg = delegate()
{
IplImage img;
while (testing)
{
//Stopwatch is handy and accuarate way to measure execution time.
Stopwatch sw = new Stopwatch();
/* a 500 - 333 FPS ... 2 - 3ms*/
img = Cv.QueryFrame(capture);
//This 4 lines of code allows me to interact with GUI from separate thread (this)
Dispatcher.Invoke(DispatcherPriority.Render, new Action(() =>
{
imageFrame.Source = WriteableBitmapConverter.ToWriteableBitmap(img);
}));
/* a end 500 - 333 FPS ... 2 - 3ms*/
sw.Start();
ProcessImage(img);
sw.Stop();
//Calculate FPS and show it on GUI.
Dispatcher.Invoke(DispatcherPriority.Render, new Action(() =>
{
int ms = sw.Elapsed.Milliseconds;
if (ms != 0)
{
FPS.Text = Convert.ToString((Convert.ToInt32((1000.0 / ms) * 10000.0)) / 10000.0);
}
}));
}
};
thread = new Thread(captureImg);
thread.Start();
}
public async Task ReadFrame(IProgress <ProcessedFrame> progress, CancellationToken token)
{
await Task.Run(async() =>
{
while (!(token.IsCancellationRequested || ended))
{
using (frameMat = videoCapture.RetrieveMat())
{
ended = frameMat.Empty();
var result = WriteableBitmapConverter.ToWriteableBitmap(frameMat);
result.Freeze();
progress.Report(new ProcessedFrame {
Bitmap = result
});
}
}
await Task.Delay(5);
Console.WriteLine("done");
});
}
public void Run()
{
using var mat = new Mat(FilePath.Image.Fruits, ImreadModes.Color); // width % 4 != 0
var wb = WriteableBitmapConverter.ToWriteableBitmap(mat);
var image = new System.Windows.Controls.Image
{
Source = wb
};
var window = new System.Windows.Window
{
Content = image
};
var app = new Application();
app.Run(window);
}
// 一定時間経過ごとに実行
void dispatcherTimer_Tick(object sender, EventArgs e)
{
// カメラから画像を取得
IplImage frame = Cv.QueryFrame(camera);
// 640x480の画像から320x240を切り出す
double w = 640, h = 480;
Cv.SetCaptureProperty(camera, CaptureProperty.FrameWidth, w);
Cv.SetCaptureProperty(camera, CaptureProperty.FrameHeight, h);
face = trimming(frame, (int)w / 4, (int)h / 4, (int)image.Width, (int)image.Height);
// フレーム画像をコントロールに貼り付け
image.Source = WriteableBitmapConverter.ToWriteableBitmap(face);
// 感情認識結果をオーバーレイ
IplImage stamp = stamps[emotionL];
image1.Source = WriteableBitmapConverter.ToWriteableBitmap(stamp);
}
private void DrawImages()
{
Mat large = new Mat(INPUT_FILE);
Mat rgb = new Mat(), small = new Mat(), grad = new Mat(), bw = new Mat(), connected = new Mat();
// downsample and use it for processing
Cv2.PyrDown(large, rgb);
Cv2.CvtColor(rgb, small, ColorConversionCodes.BGR2GRAY);
// morphological gradient
var morphKernel = Cv2.GetStructuringElement(MorphShapes.Ellipse, new OpenCvSharp.Size(3, 3));
Cv2.MorphologyEx(small, grad, MorphTypes.Gradient, morphKernel);
// binarize
Cv2.Threshold(grad, bw, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
imgReceipt0.Source = WriteableBitmapConverter.ToWriteableBitmap(large);
imgReceipt1.Source = WriteableBitmapConverter.ToWriteableBitmap(grad);
imgReceipt2.Source = WriteableBitmapConverter.ToWriteableBitmap(bw);
}
