private Image <Gray, byte> DetectionImage(Image <Bgr, byte> sourceImg, bool debugMode = false)
{
Image <Hsv, byte> img = sourceImg.Convert <Hsv, byte>();
Image <Gray, byte> blue = ImageTools.FilterColor(img, new Hsv(90, 90, 50), new Hsv(120, 255, 255));
Image <Gray, byte> green = ImageTools.FilterColor(img, new Hsv(35, 70, 35), new Hsv(90, 255, 255));
Image <Gray, byte> yellow = ImageTools.FilterColor(img, new Hsv(10, 70, 127), new Hsv(35, 255, 255));
Image <Gray, byte> red = ImageTools.FilterColor(
img,
new KeyValuePair <Hsv, Hsv>[] {
new KeyValuePair <Hsv, Hsv>(new Hsv(0, 85, 80), new Hsv(12, 255, 255)),
new KeyValuePair <Hsv, Hsv>(new Hsv(150, 85, 80), new Hsv(179, 255, 255))
}
);
DetectionData ddb = ImageTools.DetectSquares(blue, debugMode ? "Blue Debug Window" : "");
DetectionData ddr = ImageTools.DetectSquares(red, debugMode ? "Red Debug Window" : "");
DetectionData ddg = ImageTools.DetectSquares(green, debugMode ? "Green Debug Window" : "");
DetectionData ddy = ImageTools.DetectSquares(yellow, debugMode ? "Yellow Debug Window" : "");
ddb.RemoveNoises();
ddr.RemoveNoises();
ddg.RemoveNoises();
ddy.RemoveNoises();
ddb.AddColor(ddr);
ddb.AddColor(ddg);
ddb.AddColor(ddy);
return(ddb.DrawDetection().Convert <Gray, byte>());
}
private void UpdateImages(string path)
{
if (String.IsNullOrWhiteSpace(path))
{
sourceImg = new Image <Bgr, byte>(100, 100);
}
else
{
sourceImg = new Image <Bgr, byte>(imageFilePath);
}
var hsvImg = sourceImg.Convert <Hsv, byte>();
blueImg = ImageTools.FilterColor(hsvImg, UserSettings.instance.blueMin, UserSettings.instance.blueMax);
redImg = ImageTools.FilterColor(hsvImg, UserSettings.instance.RedRange);
greenImg = ImageTools.FilterColor(hsvImg, UserSettings.instance.greenMin, UserSettings.instance.greenMax);
yellowImg = ImageTools.FilterColor(hsvImg, UserSettings.instance.yellowMin, UserSettings.instance.yellowMax);
composedImg = ImageTools.CombineMaps(new List <KeyValuePair <Image <Gray, byte>, Bgr> >
{
new KeyValuePair <Image <Gray, byte>, Bgr>(blueImg, ImageTools.Colors.Blue),
new KeyValuePair <Image <Gray, byte>, Bgr>(redImg, ImageTools.Colors.Red),
new KeyValuePair <Image <Gray, byte>, Bgr>(greenImg, ImageTools.Colors.Green),
new KeyValuePair <Image <Gray, byte>, Bgr>(yellowImg, ImageTools.Colors.Yellow),
});
if (operation == OperationType.Detection)
{
DetectionData ddb = ImageTools.DetectSquares(blueImg);
DetectionData ddr = ImageTools.DetectSquares(redImg);
DetectionData ddg = ImageTools.DetectSquares(greenImg);
DetectionData ddy = ImageTools.DetectSquares(yellowImg);
ddb.RemoveNoises();
ddr.RemoveNoises();
ddg.RemoveNoises();
ddy.RemoveNoises();
DetectionData common = new DetectionData(ddb);
common.AddColor(ddr);
common.AddColor(ddg);
common.AddColor(ddy);
composedImg = common.DrawDetection().Convert <Bgr, byte>();
blueImg = ddb.DrawDetection();
redImg = ddr.DrawDetection();
greenImg = ddg.DrawDetection();
yellowImg = ddy.DrawDetection();
this.board = common.CreateBoard();
}
}
private DetectionData PrepareDetectionDataExample()
{
var dd = new DetectionData(new Size(450, 450));
dd.AddColor(new List <Rectangle> {
new Rectangle(120, 10, 100, 100), new Rectangle(230, 10, 100, 100), new Rectangle(340, 230, 100, 100), new Rectangle(230, 340, 100, 100), new Rectangle(340, 340, 100, 100)
});
dd.AddColor(new List <Rectangle> {
new Rectangle(10, 120, 100, 100), new Rectangle(10, 230, 100, 100)
});
dd.AddColor(new List <Rectangle> {
new Rectangle(340, 10, 100, 100), new Rectangle(340, 120, 100, 100), new Rectangle(120, 230, 100, 100), new Rectangle(230, 230, 100, 100)
});
dd.AddColor(new List <Rectangle> {
new Rectangle(120, 120, 100, 100), new Rectangle(230, 120, 100, 100)
});
return(dd);
}
private void button1_Click(object sender, EventArgs e)
{
try
{
if (textBox2.Text.Trim().Length <= 0)
{
MessageBox.Show("请填写设备地址");
return;
}
DetectionData theDetectionData = new DetectionData();
theDetectionData.DeviceAddress = textBox2.Text;
theDetectionData.DeviceLine = textBox18.Text;
theDetectionData.detectionDataArray = new List <DetectionDataArray>();
DetectionDataArray theDetectionDataArray = new DetectionDataArray();
theDetectionDataArray.DetectionName = textBox6.Text;
theDetectionDataArray.DetectionNumber = textBox17.Text;
theDetectionDataArray.DetectionRouteA = textBox3.Text;
theDetectionDataArray.DetectionRouteB = textBox4.Text;
theDetectionDataArray.DetectionRouteC = textBox5.Text;
theDetectionData.detectionDataArray.Add(theDetectionDataArray);
DetectionDataArray towDetectionDataArray = new DetectionDataArray();
towDetectionDataArray.DetectionName = textBox7.Text;
towDetectionDataArray.DetectionNumber = textBox16.Text;
towDetectionDataArray.DetectionRouteA = textBox10.Text;
towDetectionDataArray.DetectionRouteB = textBox9.Text;
towDetectionDataArray.DetectionRouteC = textBox8.Text;
theDetectionData.detectionDataArray.Add(towDetectionDataArray);
DetectionDataArray threeDetectionDataArray = new DetectionDataArray();
threeDetectionDataArray.DetectionName = textBox11.Text;
threeDetectionDataArray.DetectionNumber = textBox15.Text;
threeDetectionDataArray.DetectionRouteA = textBox14.Text;
threeDetectionDataArray.DetectionRouteB = textBox13.Text;
threeDetectionDataArray.DetectionRouteC = textBox12.Text;
theDetectionData.detectionDataArray.Add(threeDetectionDataArray);
if (theDetectionData != null && theDetectionData.detectionDataArray != null)
{
theAddDevice.Invoke(theDetectionData, textBox2.Text);
}
}
catch (Exception msg)
{
HandleTool.LogWrite(msg);
}
}
/// <summary>
/// Включение детекции движения с предустановленной заполенной маской детекции
/// </summary>
public static async Task <string> SetDetectionFromBody([FromBody] DetectionData data)
{
_logger.Info("[SetDetectionFromBody] Method started");
try
{
using var xmlData = Converters.ToStringContent(data, "MotionDetection");
var response = await WebClient.Client.PutAsync("System/Video/inputs/channels/1/motionDetection", xmlData).Result.Content.ReadAsStringAsync();
var jsonResponse = Converters.XmlToJson(response);
var responseData = JsonConvert.DeserializeObject <CamResponses>(jsonResponse);
_logger.Info("[SetDetectionFromBody] Method has complete");
return($"{responseData.responseStatus.StatusString,-10} Request url {responseData.responseStatus.RequestUrl}");
}
catch (Exception e)
{
_logger.Error($"[SetDetectionFromBody] Method failed. \nError message: {e.Message}");
return(e.Message);
}
}
private void ReadXmlSetting(string selectItemName)
{
textBox2.Text = this.selectItemName;
string filePath = @"SettingTest/" + selectItemName + ".xml";
if (File.Exists(filePath))
{
using (StreamReader sr = new StreamReader(Path.GetFullPath(filePath)))
{
DetectionData theDetectionData = new DetectionData();
theDetectionData.detectionDataArray = new List <DetectionDataArray>();
theDetectionData = XmlUtil.Deserialize(typeof(DetectionData), sr.ReadToEnd()) as DetectionData;
if (theDetectionData != null && theDetectionData.detectionDataArray.Count > 0)
{
textBox18.Text = theDetectionData.DeviceLine;
textBox6.Text = theDetectionData.detectionDataArray[0].DetectionName;
textBox17.Text = theDetectionData.detectionDataArray[0].DetectionNumber;
textBox3.Text = theDetectionData.detectionDataArray[0].DetectionRouteA;
textBox4.Text = theDetectionData.detectionDataArray[0].DetectionRouteB;
textBox5.Text = theDetectionData.detectionDataArray[0].DetectionRouteC;
textBox7.Text = theDetectionData.detectionDataArray[1].DetectionName;
textBox16.Text = theDetectionData.detectionDataArray[1].DetectionNumber;
textBox10.Text = theDetectionData.detectionDataArray[1].DetectionRouteA;
textBox9.Text = theDetectionData.detectionDataArray[1].DetectionRouteB;
textBox8.Text = theDetectionData.detectionDataArray[1].DetectionRouteC;
textBox11.Text = theDetectionData.detectionDataArray[2].DetectionName;
textBox15.Text = theDetectionData.detectionDataArray[2].DetectionNumber;
textBox14.Text = theDetectionData.detectionDataArray[2].DetectionRouteA;
textBox13.Text = theDetectionData.detectionDataArray[2].DetectionRouteB;
textBox12.Text = theDetectionData.detectionDataArray[2].DetectionRouteC;
}
}
}
}
private void BoardButton_Click(object sender, RoutedEventArgs e)
{
string[] args = Environment.GetCommandLineArgs();
Image <Hsv, byte> img = new Image <Hsv, byte>(args[1]);
Image <Gray, byte> blue = ImageTools.FilterColor(img, new Hsv(90, 90, 50), new Hsv(120, 255, 255));
Image <Gray, byte> green = ImageTools.FilterColor(img, new Hsv(35, 70, 35), new Hsv(90, 255, 255));
Image <Gray, byte> yellow = ImageTools.FilterColor(img, new Hsv(10, 70, 127), new Hsv(35, 255, 255));
Image <Gray, byte> red = ImageTools.FilterColor(
img,
new KeyValuePair <Hsv, Hsv>[] {
new KeyValuePair <Hsv, Hsv>(new Hsv(0, 85, 80), new Hsv(12, 255, 255)),
new KeyValuePair <Hsv, Hsv>(new Hsv(150, 85, 80), new Hsv(179, 255, 255))
}
);
DetectionData ddb = ImageTools.DetectSquares(blue);
DetectionData ddr = ImageTools.DetectSquares(red);
DetectionData ddg = ImageTools.DetectSquares(green);
DetectionData ddy = ImageTools.DetectSquares(yellow);
ddb.RemoveNoises();
ddr.RemoveNoises();
ddg.RemoveNoises();
ddy.RemoveNoises();
ddb.AddColor(ddr);
ddb.AddColor(ddg);
ddb.AddColor(ddy);
var board = ddb.CreateBoard();
var di = ddb.DrawDetection().Bitmap;
MessageBox.Show("Detected board: " + board.Height + "x" + board.Width);
ImageTools.ShowInNamedWindow(img.Convert <Bgr, byte>(), "Original");
}
public DataInfo(cycleDataArray thecycleDataArray, DetectionData theDetectionData)
{
this.thecycleDataArray = thecycleDataArray;
this.theDetectionData = theDetectionData;
InitializeComponent();
}
