public void SetMask()
{
OpenFileDialog dialog = new OpenFileDialog()
{
InitialDirectory = Environment.GetFolderPath(Environment.SpecialFolder.Desktop), Multiselect = false
};
if (dialog.ShowDialog() == DialogResult.OK)
{
IImage mask = new FormsImage(dialog.FileName);
red.Database.SetViewMask("", mask);
}
}
public bool Process(Bitmap bmpImg, string strToolName, CDefine.enumVidiType eVidiType)
{
bool bReturn = false;
do
{
try
{
IImage img = new FormsImage(bmpImg);
m_Sample = Stream.Tools[strToolName].Process(img);
}
catch (System.Exception)
{
break;
}
bReturn = true;
} while (false);
return(bReturn);
}
public void GetImages()
{
FolderBrowserDialog dialog = new FolderBrowserDialog()
{
RootFolder = System.Environment.SpecialFolder.Desktop
};
if (dialog.ShowDialog() == DialogResult.OK)
{
var ext = new System.Collections.Generic.List <string> {
".jpg", ".bmp", ".png"
};
var myImagesFiles = Directory.GetFiles(dialog.SelectedPath, "*.*", SearchOption.AllDirectories).Where(s => ext.Any(e => s.EndsWith(e)));
foreach (var file in myImagesFiles)
{
using (var image = new FormsImage(file))
{
red.Database.AddImage(image, Path.GetFileName(file));
}
}
}
}
public void SettingTools()
{
bool local = true; //changes this to false if you want to connect to a runtime service
//remote capabilities are only available with advanced licenses
string remoteServerAddress = "http://*****:*****@"C:\Users\jkhong\Pictures\ZZZZ\", "*.*", SearchOption.AllDirectories).Where(s => ext.Any(e => s.EndsWith(e)));
foreach (var file in myImagesFiles)
{
using (var image = new FormsImage(file))
{
stream.Database.AddImage(image, Path.GetFileName(file));
}
}
//---------------BLUE TOOL----------------------
//modifying the ROI
IManualRegionOfInterest blueROI = blue.RegionOfInterest as IManualRegionOfInterest; //gets the region of interest
//changing the angle
blueROI.Angle = 10.0;
//processes all images in order to apply the ROI
blue.Database.Process();
//waiting fo the end of the processing
blue.Wait();
//get the first view in the database
var firstView = blue.Database.List().First();
//add some features to the first view in the database
blue.Database.AddFeature(firstView, "0", new ViDi2.Point(firstView.Size.Width / 2, firstView.Size.Height / 2), 0.0, 1.0);
blue.Database.AddFeature(firstView, "1", new ViDi2.Point(firstView.Size.Width / 3, firstView.Size.Height / 3), 0.0, 1.0);
//adding a model to the blue tool
var model = blue.Models.Add("model1") as INodeModel;
//adding some nodes in the model
var node = model.Nodes.Add();
node.Fielding = new List <string> {
"1"
};
node.Position = new ViDi2.Point(0.0, 0.0);
node = model.Nodes.Add();
node.Fielding = new List <string> {
"0"
};
node.Position = new ViDi2.Point(1.0, 0.0);
//changing some parameters
blue.Parameters.FeatureSize = new ViDi2.Size(30, 30);
//saving the workspace
workspace.Save();
//trains and wait for the training to be finished
blue.Train();
try
{
while (!blue.Wait(1000))
{
System.Console.WriteLine(blue.Progress.Description + " " + blue.Progress.ETA.ToString());
}
}
catch (ViDi2.Exception e)
{
/* you'll likely get a "numeric instability detected" exception
* that will put you right here. That happens because the resources
* that are being used from the "images" folder are probably not
* well suited for the specific stream that we have set up.
*/
System.Console.WriteLine(e.Message);
return;
}
var blueSummary = blue.Database.Summary();
//---------------RED TOOL----------------------
//setting the roi in the red tool. It is a IBlueRegionOfInterest because the red tool is linked to a blue tool
var redRoi = red.RegionOfInterest as IBlueRegionOfInterest;
//selecting the model used for the ROI
redRoi.MatchFilter = "name='" + model.Name + "'";
//setting the size of the ROI
redRoi.Size = new ViDi2.Size(100, 100);
//applying the ROI on all images
red.Database.Process();
//waiting for red tool to finish applying ROI
red.Wait();
//changing the rotation perturbation parameter
red.Parameters.Rotation = new System.Collections.Generic.List <Interval>()
{
new Interval(0.0, 360.0)
};
//labellling images
red.Database.LabelViews("'bad'", "bad"); //label good images
red.Database.LabelViews("not 'bad'", ""); // label bad images
workspace.Save();
//training the workspace
red.Train();
try
{
while (!red.Wait(1000))
{
System.Console.WriteLine(red.Progress.Description + " " + red.Progress.ETA.ToString());
}
}
catch (ViDi2.Exception e)
{
System.Console.WriteLine(e.Message);
}
var redSummary = red.Database.Summary();
//---------------GREEN TOOL----------------------
//Applying the ROI to the green tool
green.Database.Process();
red.Wait();
//tagging the images
green.Database.Tag("'bad'", "b");
green.Database.Tag("not 'bad'", "g");
workspace.Save();
green.Train();
try
{
while (!green.Wait(1000))
{
System.Console.WriteLine(green.Progress.Description + " " + green.Progress.ETA.ToString());
}
}
catch (ViDi2.Exception e)
{
System.Console.WriteLine(e.Message);
}
var greenSummary = green.Database.Summary();
//closing the workspaces
foreach (var w in control.Workspaces)
{
w.Close();
}
control.Dispose();
}