private void FrmMain_Shown(object sender, EventArgs e)
{
this.list = Ptma.LoadFromPath("config.xml");
for (int i = 0; i < list.Count; i++)
{
TrainedTemplate trainedTemplate = new TrainedTemplate();
trainedTemplate.templateImage = Cv2.ImRead(list[i].imageSrc, OpenCvSharp.LoadMode.Color);
SURF featureDetector = new SURF();
//获取模板图的特征点
KeyPoint[] templateKeyPoints = featureDetector.Detect(trainedTemplate.templateImage);
//提取模板图的特征点
Mat templateDescriptors = new Mat(trainedTemplate.templateImage.Rows, trainedTemplate.templateImage.Cols, trainedTemplate.templateImage.Type());
SURF descriptorExtractor = new SURF();
descriptorExtractor.Compute(trainedTemplate.templateImage, ref templateKeyPoints, templateDescriptors);
trainedTemplate.templateDescriptors = templateDescriptors;
trainedTemplate.templateKeyPoints = templateKeyPoints;
this.toolList.Add(trainedTemplate);
}
this.dgvMain.DataSource = this.list;
Thread bgThread = new Thread(CaptureAndAnalyse);
bgThread.IsBackground = true;
bgThread.Start();
}
public static List <Ptma> LoadFromXML(String xmlDoc)
{
List <Ptma> list = new List <Ptma>();
XmlDocument xml = new XmlDocument();
xml.LoadXml(xmlDoc);
XmlNodeList ptmaNodesList = xml.SelectNodes("list/pmat");
foreach (XmlNode node in ptmaNodesList)
{
Ptma obj = new Ptma();
obj.name = node.Attributes["name"].Value;
obj.text = node.Attributes["text"].Value;
obj.image = MakeThumbnail(node.Attributes["image"].Value, 40, 40, "H");
obj.imageSrc = node.Attributes["image"].Value;
obj.enable = int.Parse(node.Attributes["enable"].Value);
obj._dx = int.Parse(node.Attributes["_dx"].Value);
obj._dy = int.Parse(node.Attributes["_dy"].Value);
obj.dx = int.Parse(node.Attributes["dx"].Value);
obj.dy = int.Parse(node.Attributes["dy"].Value);
obj.opt = Properties.Resources.start_40;
list.Add(obj);
}
return(list);
}
