public static VoyImageResult Invalid()
{
VoyImageResult r = new VoyImageResult();
r.valid = false;
return(r);
}
private bool MatchBottom(Mat bottom, ref VoyImageResult result)
{
int minHeight = bottom.Rows * 3 / 15;
int maxHeight = bottom.Rows * 5 / 15;
int stepHeight = bottom.Rows / 30;
Point maxlocCmd = new Point();
Point maxlocSci = new Point();
int scaledWidth = 0;
int height = minHeight;
for (; height <= maxHeight; height += stepHeight)
{
Mat scaledCmd = _skill_cmd.Resize(new Size(_skill_cmd.Cols * height / _skill_cmd.Rows, height));
Mat scaledSci = _skill_sci.Resize(new Size(_skill_sci.Cols * height / _skill_sci.Rows, height));
double maxvalCmd = ScaleInvariantTemplateMatch(bottom, scaledCmd, out maxlocCmd);
//Console.WriteLine($"For CMD height {height} we got {maxvalCmd} at location {maxlocCmd.X} x {maxlocCmd.Y}");
double maxvalSci = ScaleInvariantTemplateMatch(bottom, scaledSci, out maxlocSci);
//Console.WriteLine($"For SCI height {height} we got {maxvalSci} at location {maxlocSci.X} x {maxlocSci.Y}");
if ((maxvalCmd > 0.9) && (maxvalSci > 0.9))
{
scaledWidth = scaledSci.Cols;
break;
}
}
if (scaledWidth == 0)
{
return(false);
}
double widthScale = (double)scaledWidth / _skill_sci.Width;
result.cmd.SkillValue = OCRNumber(bottom.SubMat(maxlocCmd.Y, maxlocCmd.Y + height, maxlocCmd.X - (scaledWidth * 5), maxlocCmd.X - (scaledWidth / 8)), "cmd");
result.cmd.Primary = HasStar(bottom.SubMat(maxlocCmd.Y, maxlocCmd.Y + height, maxlocCmd.X + (scaledWidth * 9 / 8), maxlocCmd.X + (scaledWidth * 5 / 2)), "cmd");
result.dip.SkillValue = OCRNumber(bottom.SubMat(maxlocCmd.Y + height, maxlocSci.Y, maxlocCmd.X - (scaledWidth * 5), (int)(maxlocCmd.X - (_skill_dip.Width - _skill_sci.Width) * widthScale)), "dip");
result.dip.Primary = HasStar(bottom.SubMat(maxlocCmd.Y + height, maxlocSci.Y, maxlocCmd.X + (scaledWidth * 9 / 8), maxlocCmd.X + (scaledWidth * 5 / 2)), "dip");
result.eng.SkillValue = OCRNumber(bottom.SubMat(maxlocSci.Y, maxlocSci.Y + height, maxlocCmd.X - (scaledWidth * 5), (int)(maxlocCmd.X - (_skill_eng.Width - _skill_sci.Width) * widthScale)), "eng");
result.eng.Primary = HasStar(bottom.SubMat(maxlocSci.Y, maxlocSci.Y + height, maxlocCmd.X + (scaledWidth * 9 / 8), maxlocCmd.X + (scaledWidth * 5 / 2)), "eng");
result.sec.SkillValue = OCRNumber(bottom.SubMat(maxlocCmd.Y, maxlocCmd.Y + height, (int)(maxlocSci.X + scaledWidth * 1.4), maxlocSci.X + (scaledWidth * 6)), "sec");
result.sec.Primary = HasStar(bottom.SubMat(maxlocCmd.Y, maxlocCmd.Y + height, maxlocSci.X - (scaledWidth * 12 / 8), maxlocSci.X - (scaledWidth / 6)), "sec");
result.med.SkillValue = OCRNumber(bottom.SubMat(maxlocCmd.Y + height, maxlocSci.Y, (int)(maxlocSci.X + scaledWidth * 1.4), maxlocSci.X + (scaledWidth * 6)), "med");
result.med.Primary = HasStar(bottom.SubMat(maxlocCmd.Y + height, maxlocSci.Y, maxlocSci.X - (scaledWidth * 12 / 8), maxlocSci.X - (scaledWidth / 6)), "med");
result.sci.SkillValue = OCRNumber(bottom.SubMat(maxlocSci.Y, maxlocSci.Y + height, (int)(maxlocSci.X + scaledWidth * 1.4), maxlocSci.X + (scaledWidth * 6)), "sci");
result.sci.Primary = HasStar(bottom.SubMat(maxlocSci.Y, maxlocSci.Y + height, maxlocSci.X - (scaledWidth * 12 / 8), maxlocSci.X - (scaledWidth / 6)), "sci");
return(true);
}
public VoyImageResult SearchUrl(string imageUrl)
{
DownloadResult downloadResult = ImgDownload.Download(imageUrl);
if (downloadResult.image != null)
{
return(SearchMat(downloadResult.image));
}
return(VoyImageResult.Invalid());
}
private VoyImageResult SearchMat(Mat query)
{
try
{
VoyImageResult result = new VoyImageResult();
// First, take the top of the image and look for the antimatter
Mat top = query.SubMat(0, Math.Max(query.Rows / 5, 80), query.Cols / 3, query.Cols * 2 / 3);
Cv2.Threshold(top, top, 100, 1.0, ThresholdTypes.Tozero);
result.antimatter = MatchTop(top);
if (result.antimatter == 0)
{
// Not found
return(VoyImageResult.Invalid());
}
if (result.antimatter > 8000)
{
result.antimatter = result.antimatter / 10;
}
double standardScale = (double)query.Cols / query.Rows;
double scaledPercentage = query.Rows * (standardScale * 1.2) / 9;
Mat bottom = query.SubMat((int)(query.Rows - scaledPercentage), query.Rows, query.Cols / 6, query.Cols * 5 / 6);
Cv2.Threshold(bottom, bottom, 100, 1.0, ThresholdTypes.Tozero);
if (!MatchBottom(bottom, ref result))
{
// Not found
return(VoyImageResult.Invalid());
}
result.valid = true;
return(result);
}
catch (Exception ex)
{
Console.WriteLine($"Exception during VoyImage: {ex.Message}");
return(VoyImageResult.Invalid());
}
}
public VoyImageResult SearchUrl(string imageUrl)
{
try
{
using (var client = new WebClient())
{
lock (this)
{
using (BinaryReader reader = new BinaryReader(client.OpenRead(imageUrl)))
{
return(SearchMat(Cv2.ImDecode(ReadAllBytes(reader), ImreadModes.Color)));
}
}
}
}
catch
{
return(VoyImageResult.Invalid());
}
}
