private void OpenCANdb(object sender, RoutedEventArgs e)
{
// Configure save file dialog box
Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog();
dlg.FileName = "ViTAmin"; // Default file name
dlg.DefaultExt = ".dbc"; // Default file extension
dlg.Filter = "CANdb (.dbc)|*.dbc"; // Filter files by extension
// Show save file dialog box
Nullable <bool> result = dlg.ShowDialog();
// Process save file dialog box results
if (result == true)
{
// OpenFile
string filename = dlg.FileName;
CANdbFileName.Text = filename;
Console.WriteLine(dlg.FileName);
Parser pa = new Parser();
candb = pa.read(filename);
List <Signal> SignalList = candb.GetAllSignal();
foreach (Signal s in SignalList)
{
Signals.Add(s);
Console.WriteLine(Signals.Count + ", " + signals.Count);
}
}
}
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();
}
public TestMonitor(List <ImagePreperationItem> list, CANdb candb, object[] matlabParam, int[] imageParam)
{
matlab = new MLApp.MLApp();
can.InitCANtransmitter();
this.candb = candb;
Result = new object[4];
ipiList = list;
imageSize = new int[] { imageParam[1], imageParam[2] };
Cv.SetCaptureProperty(capture, CaptureProperty.FrameWidth, imageSize[0]);
Cv.SetCaptureProperty(capture, CaptureProperty.FrameHeight, imageSize[1]);
//Console.WriteLine("camera settings " + imageSize[0] + "x" + imageSize[1]);
parameters = new object[6];
int startAt = 1;
for (int i = startAt; i < parameters.Length; i++)
{
parameters[i] = matlabParam[i - startAt];
}
parameters[0] = imageParam[0];
//Console.WriteLine("image size is " + imageSize[0] + "x" + imageSize[1]);
signals = new ObservableCollection <SinalListItem>();
int count = 0;
foreach (Signal s in candb.GetAllSignal())
{
signals.Add(new SinalListItem(s.Name, 0.0));
nameSignalDictionary.Add(s.Name, count++);
}
distances = new ObservableCollection <String>();
foreach (ImagePreperationItem ipi in list)
{
distances.Add("0.00");
}
InitializeComponent();
}
