//private string DetectBest(ScanAreaDictionary lookup, IDictionary<int, Tuple<ulong, Rectangle>> useArea, string debugkey)
//{
// var hashes = new List<ulong>();
// var keys = new List<string>();
// var rect = new Rectangle();
// int theResolution;
// foreach (var key in lookup.Keys)
// {
// var template = lookup[key];
// ulong matchhash;
// if (template.ContainsKey(this.lastResolution))
// {
// matchhash = template[this.lastResolution].Hash;
// }
// else if (template.ContainsKey(this.BaseResolution))
// {
// matchhash = template[this.BaseResolution].Hash;
// }
// else
// {
// Log.Error("No scan data found for requested template: " + debugkey);
// return null;
// }
// hashes.Add(matchhash);
// keys.Add(key);
// }
// if (useArea.ContainsKey(this.lastResolution))
// {
// rect = useArea[this.lastResolution].Rect;
// theResolution = this.lastResolution;
// }
// else if (useArea.ContainsKey(this.BaseResolution))
// {
// rect = useArea[this.BaseResolution].Rect;
// theResolution = this.BaseResolution;
// }
// else
// {
// Log.Error("No scan data found for requested template: " + debugkey);
// return null;
// }
// var source = this.image;
// using (var roi = source.Clone(ResolutionHelper.CorrectRectangle(source.Size, rect, theResolution), PixelFormat.Format32bppRgb))
// {
// var hash = this.imageHasher.Create(roi);
// var best = PerceptualHash.FindBest(hash, hashes);
// if (best.Distance <= ThreshHold)
// {
// Log.Diag("Detected best hash: '{0}' Distance: {1}", debugkey, best.Distance);
// return keys[best.Index];
// }
// }
// return null;
//}
private string DetectBest(ScanAreaDictionary lookup, string debugkey, int?threshold = null)
{
threshold = threshold ?? ThreshHold;
var hashes = new List <ulong>();
var keys = new List <string>();
var rect = new Rectangle();
var theResolution = BaseResolution;
foreach (var key in lookup.Keys)
{
var template = lookup[key];
ulong matchhash;
if (template.ContainsKey(lastResolution))
{
matchhash = template[lastResolution].Hash;
rect = template[lastResolution].Rectangle;
theResolution = lastResolution;
}
else if (template.ContainsKey(BaseResolution))
{
matchhash = template[BaseResolution].Hash;
rect = template[BaseResolution].Rectangle;
theResolution = BaseResolution;
}
else
{
Log.Error("No scan data found for requested template: " + debugkey);
return(null);
}
hashes.Add(matchhash);
keys.Add(key);
}
var source = image;
using (var roi = source.Lock(ResolutionHelper.CorrectRectangle(source.Size, rect, theResolution), PixelFormat.Format32bppRgb))
{
var hash = imageHasher.Create(roi.Data);
var best = PerceptualHash.FindBest(hash, hashes);
TraceLog.Log("Detected best hash: '{0}' Distance: {1}", debugkey, best.Distance);
if (best.Distance <= threshold)
{
return(keys[best.Index]);
}
}
return(null);
}
public void UpdateHash()
{
if (SelectedScanArea == null || Screenshot == null)
{
return;
}
var model = SelectedScanArea;
var image = ImageHelper.BitmapImage2Bitmap(Screenshot);
var roi = image.Clone(new Rectangle((int)(this.Region.XPos + this.BoardX), (int)this.Region.YPos, (int)this.Region.Width, (int)this.Region.Height), image.PixelFormat);
var hash = hasher.Create(roi);
var filename = AppDomain.CurrentDomain.BaseDirectory + "\\data\\images\\" + model.Key + ".png";
roi.Save(filename, ImageFormat.Png);
image.Dispose();
model.Hash = hash;
model.Image = roi;
if (!String.IsNullOrWhiteSpace(CompareHash))
{
CompareHashResult = PerceptualHash.HammingDistance(model.Hash, Convert.ToUInt64(CompareHash));
}
var color = roi.GetDominantColor();
Mostly = String.Format("R: {0} G: {1} B: {2}", color.R, color.G, color.B);
var corners = cornerDetecter.GetCorners(roi);
var right = 0;
foreach (var c in corners)
{
if (c.X > right)
{
right = c.X;
}
}
RightMostCorner = right;
}