private void buttonRepairLast_Click(object sender, EventArgs e)
{
var last = Shots.Last();
Mat frame = new Mat();
if (string.IsNullOrWhiteSpace(last.WarpedFileName))
{
return;
}
string filePath = bidaSiusSettings.ImagesFolderPath + last.WarpedFileName;
if (!File.Exists(filePath))
{
return;
}
Image <Bgr, Byte> ff;
using (ff = new Image <Bgr, byte>(filePath))//.Resize(400, 400, Emgu.CV.CvEnum.Inter.Linear, true);
{
frame = ff.Mat;
int czteryIpolmmR_int = CaptureHelper.GetCzteryIpolmmR_int(bidaSiusSettings);
//odpal manualne pozycjonowanie
ManualShotPositioning msp = new ManualShotPositioning();
msp.SetTargetAndShot(frame, czteryIpolmmR_int, bidaSiusSettings);
DialogResult dr = msp.ShowDialog();
var newShot = CaptureHelper.WyliczWartoscPrzestrzeliny(msp.SelectedPoint, bidaSiusSettings);
last.Update(newShot);
RefreshTarget();
}
}
public static ProcessFrameResult ProcessFromFile(Mat frame, int firstCannyThresh = 100, int secondCannyThresh = 60, int firstCannyThresh1 = 120, int secondCannyThresh1 = 50, TargetDetails useThisTarget = null)
{
ProcessFrameResult result = new ProcessFrameResult();
result.Target = new TargetDetails();
result.Target.BlackCenter = useThisTarget.BlackCenter;
result.Target.BlackR = useThisTarget.BlackR;
var pix = Pix(useThisTarget.BlackR);
int zapasSize = 5; //zapas z jakim ma wykrywać przestrzeline - to wywalić do jakiegoś txtbox czy coś
int czteryIpolmmR_int = Convert.ToInt32(FourNHalfR(pix));
Mat circleImage = frame;
#region hocki klocki przepierdalanie obrazu
var inputImage = frame.ToImage <Bgr, byte>();
// inputImage._EqualizeHist();
inputImage._GammaCorrect(0.4d);
result.GrSmootWarped = inputImage.Mat;
#region blur gray canny samej tarczy
Mat canny_output12 = new Mat();
//As for your answer to number two, blur the image, convert to greyscale, then threshold to eliminate lighting differences is the usual solution
Mat smallGrayFrame12 = new Mat();
Mat smoothedGrayFrame12 = new Mat();
CvInvoke.PyrDown(inputImage.Mat, smallGrayFrame12);
CvInvoke.PyrUp(smallGrayFrame12, smoothedGrayFrame12);
CvInvoke.CvtColor(smoothedGrayFrame12, smoothedGrayFrame12, ColorConversion.Bgr2Gray);
// CvInvoke.GaussianBlur(smoothedGrayFrame12, smoothedGrayFrame12, new Size(9, 9), 1, 1);
result.SmoothedOryginal = smoothedGrayFrame12;
#region test
//#######test
// double otsu_thresh_val12 = CvInvoke.Threshold(smoothedGrayFrame12, fake12, firstCannyThresh, secondCannyThresh, ThresholdType.Binary & ThresholdType.Otsu);
//CvInvoke.AdaptiveThreshold(smoothedGrayFrame12, fake12, 255, AdaptiveThresholdType.GaussianC, ThresholdType.BinaryInv, 3, 2);
//1CvInvoke.GaussianBlur(fake12, fake12, new Size(9, 9), 1, 1);
// CvInvoke.GaussianBlur(fake12, fake12, new Size(9, 9), 1, 1);
// C1111vInvoke.GaussianBlur(fake12, fake12, new Size(9, 9), 1, 1);
// We don't need the _img. We are interested in only the otsu_thresh_val but unfortunately, currently there is no method in OpenCV which allows you to compute only the threshold value.
//Use the Otsu's threshold value as higher threshold and half of the same as the lower threshold for Canny's algorithm.
//double high_thresh_val1 = otsu_thresh_val1,
// lower_thresh_val1 = otsu_thresh_val1 * 0.5;
//CvInvoke.GaussianBlur(warped, fake12, new Size(9, 9), 1, 1);
CvInvoke.Canny(smoothedGrayFrame12, canny_output12, firstCannyThresh, secondCannyThresh);
// CvInvoke.Canny(smoothedGrayFrame12, canny_output12, 120, 50);
// CvInvoke.GaussianBlur(canny_output12, canny_output12, new Size(11, 11), 1, 1);
// CvInvoke.GaussianBlur(canny_output12, canny_output12, new Size(7, 7), 1, 1);
// result.WarpedTargetCanny = canny_output12;//$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
//#######test
#endregion test
#endregion blur gray canny samej tarczy
// result.SmOryCanny = smoothedGrayFrame12;
#endregion hocki klocki przepierdalanie obrazu
//odpal manualne pozycjonowanie
ManualShotPositioning msp = new ManualShotPositioning();
msp.SetTargetAndShot(circleImage, czteryIpolmmR_int, useThisTarget);
DialogResult dr = msp.ShowDialog();
CvInvoke.Circle(circleImage, Point.Round(msp.SelectedPoint), czteryIpolmmR_int, new Bgr(Color.DeepPink).MCvScalar, 1, LineType.AntiAlias, 0);
result.Shot = WyliczWartoscPrzestrzeliny(msp.SelectedPoint, useThisTarget);
DrawCircles(circleImage, pix, useThisTarget.BlackCenter);
result.TargetScanWithResult = circleImage;//$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
return(result);
}