// Process new frame
public void ProcessFrame(ref Bitmap image)
{
if (backgroundFrame == null)
{
// create initial backgroung image
backgroundFrame = processingFilter1.Apply(image);
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return;
}
Bitmap tmpImage;
// apply the the first filters sequence
tmpImage = processingFilter1.Apply(image);
if (++counter == 2)
{
counter = 0;
// move background towards current frame
moveTowardsFilter.OverlayImage = tmpImage;
moveTowardsFilter.ApplyInPlace(backgroundFrame);
}
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// lock temporary image to apply several filters
bitmapData = tmpImage.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
// apply difference filter
differenceFilter.ApplyInPlace(bitmapData);
// apply threshold filter
thresholdFilter.ApplyInPlace(bitmapData);
// apply dilatation filter
Bitmap tmpImage2 = dilatationFilter.Apply(bitmapData);
// unlock temporary image
tmpImage.UnlockBits(bitmapData);
tmpImage.Dispose( );
// calculate amount of changed pixels
pixelsChanged = (calculateMotionLevel) ?
CalculateWhitePixels(tmpImage2) : 0;
// find edges
Bitmap tmpImage2b = edgesFilter.Apply(tmpImage2);
tmpImage2.Dispose( );
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply(image);
// merge red channel with moving object borders
mergeFilter.OverlayImage = tmpImage2b;
Bitmap tmpImage3 = mergeFilter.Apply(redChannel);
redChannel.Dispose( );
tmpImage2b.Dispose( );
// replace red channel in the original image
replaceChannel.ChannelImage = tmpImage3;
Bitmap tmpImage4 = replaceChannel.Apply(image);
tmpImage3.Dispose( );
image.Dispose( );
image = tmpImage4;
}
// Process new frame
public void ProcessFrame(ref Bitmap image)
{
if (backgroundFrame == null)
{
// create initial backgroung image
backgroundFrame = grayscaleFilter.Apply(image);
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return;
}
Bitmap tmpImage;
// apply the grayscale file
tmpImage = grayscaleFilter.Apply(image);
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// apply difference filter
Bitmap tmpImage2 = differenceFilter.Apply(tmpImage);
// lock the temporary image and apply some filters on the locked data
bitmapData = tmpImage2.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
// threshold filter
thresholdFilter.ApplyInPlace(bitmapData);
// erosion filter
Bitmap tmpImage3 = erosionFilter.Apply(bitmapData);
// unlock temporary image
tmpImage2.UnlockBits(bitmapData);
tmpImage2.Dispose( );
// calculate amount of changed pixels
pixelsChanged = (calculateMotionLevel) ?
CalculateWhitePixels(tmpImage3) : 0;
// dispose old background
backgroundFrame.Dispose( );
// set backgound to current
backgroundFrame = tmpImage;
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply(image);
// merge red channel with moving object
mergeFilter.OverlayImage = tmpImage3;
Bitmap tmpImage4 = mergeFilter.Apply(redChannel);
redChannel.Dispose( );
tmpImage3.Dispose( );
// replace red channel in the original image
replaceChannel.ChannelImage = tmpImage4;
Bitmap tmpImage5 = replaceChannel.Apply(image);
tmpImage4.Dispose( );
image.Dispose( );
image = tmpImage5;
}
private int width;// image width
/// <summary>
/// The ProcessFrame
/// </summary>
/// <param name="image">The image<see cref="Bitmap"/></param>
public Bitmap ProcessFrame(Bitmap image)
{
if (backgroundFrame == null)
{
// create initial backgroung image
backgroundFrame = grayscaleFilter.Apply(image);
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return(null);
}
// apply the the grayscale file
var tmpImage = grayscaleFilter.Apply(image);
if (++counter == 2)
{
counter = 0;
// move background towards current frame
moveTowardsFilter.OverlayImage = tmpImage;
moveTowardsFilter.ApplyInPlace(backgroundFrame);
}
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// lock temporary image to apply several filters
bitmapData = tmpImage.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
// apply difference filter
differenceFilter.ApplyInPlace(bitmapData);
// apply threshold filter
thresholdFilter.ApplyInPlace(bitmapData);
pixelsChanged = CalculateWhitePixels(bitmapData);
var tmpImage2 = openingFilter.Apply(bitmapData);
// unlock temporary image
tmpImage.UnlockBits(bitmapData);
tmpImage.Dispose();
// apply edges filter
var tmpImage2b = edgesFilter.Apply(tmpImage2);
tmpImage2.Dispose();
// extract red channel from the original image
var redChannel = extrachChannel.Apply(image);
// merge red channel with moving object borders
mergeFilter.OverlayImage = tmpImage2b;
var tmpImage3 = mergeFilter.Apply(redChannel);
redChannel.Dispose();
tmpImage2b.Dispose();
// replace red channel in the original image
replaceChannel.ChannelImage = tmpImage3;
var tmpImage4 = replaceChannel.Apply(image);
tmpImage3.Dispose();
image.Dispose();
image = tmpImage4;
return(image);
}
public Binarize(UISettings ui, FileData file) : base(ui, file)
{
try {
Invert AFinvert = new Invert();
switch (ui.ThresholdIndex) // threshold method selection "Global mean" / "Local adaptive"
{
case 0: // Global
if (ui.ThreshGlobalIsAbsolute) // use absolute
{
Threshold AFglobalbinary = new Threshold(ui.ThreshGlobalAbsolute);
UnmanagedBlackWhite = AFglobalbinary.Apply(UnmanagedGray);
}
else // use relative
{
ImageStatistics stats = new ImageStatistics(UnmanagedGray, AFinvert.Apply(UnmanagedExclude));
Threshold AFglobalbinary = new Threshold(stats.Gray.Center2QuantileValue(1.0d * ui.ThreshGlobalRelative / 255.0d));
UnmanagedBlackWhite = AFglobalbinary.Apply(UnmanagedGray);
}
break;
case 1: // Local
BradleyLocalThresholdingX AFlocalbinary = new BradleyLocalThresholdingX()
{
PixelBrightnessDifferenceLimit = ui.ThreshLocalBrightnessDifference,
WindowSize = ui.ThreshLocalWindowSize, UpperLimit = 250
};
UnmanagedBlackWhite = AFlocalbinary.Apply(UnmanagedGray);
break;
}
if (ui.FillHoleAirspaceSwitch && ui.FillHoleAirspace != 0) // fill holes of airspaces
{
FillHoles AFfillinair = new FillHoles()
{
CoupledSizeFiltering = true, MaxHoleHeight = ui.FillHoleAirspace, MaxHoleWidth = ui.FillHoleAirspace
};
//FillHolesArea AFfillinair=new FillHolesArea() { MaxHoleArea=ui.FillHoleAirspace };
AFfillinair.ApplyInPlace(UnmanagedBlackWhite);
}
UnmanagedBlackWhite = AFinvert.Apply(UnmanagedBlackWhite);
if (ui.FillHoleTissueSwitch && ui.FillHoleTissue != 0) // fill holes of tissue
{
FillHoles AFfillintissue = new FillHoles()
{
CoupledSizeFiltering = true, MaxHoleHeight = ui.FillHoleTissue, MaxHoleWidth = ui.FillHoleTissue
};
//FillHolesArea AFfillintissue=new FillHolesArea() { MaxHoleArea=ui.FillHoleTissue };
AFfillintissue.ApplyInPlace(UnmanagedBlackWhite);
}
if (ui.MorphoDilateSwitch && ui.MorphoDilate != 0) // Morphological Dilate
{
int n = (Math.Max(ui.MorphoDilate, 0) * 2 + 1); short[,] morphmatrix = new short[n, n];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
morphmatrix[i, j] = 1;
}
}
Dilatation AFdilate = new Dilatation(morphmatrix);
AFdilate.ApplyInPlace(UnmanagedBlackWhite);
}
if (ui.MorphoErodeSwitch && ui.MorphoErode != 0) // Morphological Erode
{
int n = (Math.Max(ui.MorphoErode, 0) * 2 + 1); short[,] morphmatrix = new short[n, n];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
morphmatrix[i, j] = 1;
}
}
Erosion AFerode = new Erosion(morphmatrix);
AFerode.ApplyInPlace(UnmanagedBlackWhite);
}
if (ui.ExcludeColorSwitch)
{
NonParen_SumArea = ui.um2px2 * UnmanagedExclude.NonBlackArea();
}
if (ui.BlobMinSwitch)
{
Low_Threshold = Math.Pow(10.0d, ui.BlobMin) - 1;
}
else
{
Low_Threshold = 0.0d;
}
if (ui.BlobMaxSwitch)
{
High_Threshold = Math.Pow(10.0d, ui.BlobMax) - 1;
}
else
{
High_Threshold = int.MaxValue;
}
if (ui.BlobMinSwitch || ui.BlobMaxSwitch)
{
Merge AFmerge1 = new Merge(UnmanagedExclude);
ExcludeSize AFexcsize = new ExcludeSize()
{
Low = (int)Math.Round(Low_Threshold / ui.um2px2), High = (int)Math.Round(Math.Min(int.MaxValue, High_Threshold / ui.um2px2))
};
Merge AFmerge2 = new Merge(AFexcsize.Apply(AFinvert.Apply(AFmerge1.Apply(UnmanagedBlackWhite))));
AFmerge2.ApplyInPlace(UnmanagedExclude);
Low_SumArea = ui.um2px2 * AFexcsize.LowCount;
High_SumArea = ui.um2px2 * AFexcsize.HighCount;
}
} catch { throw new Exception("Error Occured During Binarization"); }
}
static void OnNewGameState(GameState gs)
{
try
{
bool DEBUGING = true;
if (gs.Map.GameState == DOTA_GameState.Undefined)
{
return;
}
if (gs.Previously.Map.GameState == GS_WAITING && gs.Map.GameState == GS_DRAFTING)
{
var client = new HGV.Basilius.MetaClient();
var heroKeys = client.GetADHeroes().ToDictionary(_ => _.Key, _ => _.Id);
Console.WriteLine("Drafting");
Console.WriteLine("Hero {0}:{1}", gs.Hero.ID, gs.Hero.Name);
Thread.Sleep(4000); // Wait for ability draft screen to load.
var captureImage = ScreenCapture.CaptureApplication();
if (DEBUGING == true)
{
captureImage.Save(".//output//capture.png");
}
Bitmap overlay;
Bitmap source;
{
// create filter
var colorFiltering = new ColorFiltering();
// set channels' ranges to keep
colorFiltering.Red = new IntRange(50, 52);
colorFiltering.Green = new IntRange(50, 52);
colorFiltering.Blue = new IntRange(50, 52);
// apply the filter
var image = colorFiltering.Apply(captureImage);
var gfilter = Grayscale.CommonAlgorithms.BT709;
source = gfilter.Apply(image);
}
{
// create filter
var colorFiltering = new ColorFiltering();
// set channels' ranges to keep
colorFiltering.Red = new IntRange(194, 204);
colorFiltering.Green = new IntRange(211, 221);
colorFiltering.Blue = new IntRange(165, 170);
// apply the filter
var image = colorFiltering.Apply(captureImage);
var gfilter = Grayscale.CommonAlgorithms.BT709;
overlay = gfilter.Apply(image);
}
// create filter
var mergeFilter = new Merge(overlay);
var resultImage = mergeFilter.Apply(source);
if (DEBUGING == true)
{
resultImage.Save("./output/bounds.png");
}
var shapeChecker = new SimpleShapeChecker();
var bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinHeight = 5;
bc.MinWidth = 5;
bc.ProcessImage(resultImage);
var blobs = bc.GetObjectsInformation();
var size = new Size();
var left = 0;
var top = 0;
var right = 0;
var height = 0;
foreach (var blob in blobs)
{
var points = bc.GetBlobsEdgePoints(blob);
if (shapeChecker.IsCircle(points))
{
right = blob.Rectangle.Left;
}
else if (shapeChecker.IsQuadrilateral(points))
{
left = blob.Rectangle.Right;
top = blob.Rectangle.Top;
height = blob.Rectangle.Height;
const double HERO_RATIO = 0.76;
size.Width = (int)Math.Round(height * HERO_RATIO);
size.Height = height;
}
}
var bounds = new Rectangle(left, top, right - left, height);
var spacing = (bounds.Width - (size.Width * 10)) / 11;
bounds.X += spacing;
bounds.Width -= (spacing * 2);
if (DEBUGING == true)
{
Crop filter = new Crop(bounds);
var imageHeader = filter.Apply(captureImage);
imageHeader.Save("./output/header.png");
}
var collection = new List <Bitmap>();
for (int i = 0; i < 10; i++)
{
var x = (spacing * i) + (size.Width * i) + bounds.X;
Crop cropFilter = new Crop(new Rectangle(x, bounds.Y, size.Width, size.Height));
var cropedImage = cropFilter.Apply(captureImage);
collection.Add(cropedImage);
if (DEBUGING == true)
{
cropedImage.Save($"./output/hero[{i}].png");
}
}
var templates = new List <TemplatePackage>();
var resizeFilter = new ResizeBicubic(size.Width, size.Height);
var files = Directory.GetFiles(".//heroes");
foreach (var file in files)
{
var key = Path.GetFileNameWithoutExtension(file);
var heroId = 0;
heroKeys.TryGetValue(key, out heroId);
var template = Bitmap.FromFile(file) as Bitmap;
var resizedTemplate = resizeFilter.Apply(template);
var package = new TemplatePackage()
{
Key = key,
Hero = heroId,
Image = resizedTemplate,
};
templates.Add(package);
}
var tm = new ExhaustiveTemplateMatching(0.8f);
var data = new List <DataPackage>();
for (int i = 0; i < collection.Count; i++)
{
var image = collection[i];
foreach (var template in templates)
{
var matchings = tm.ProcessImage(image, template.Image);
foreach (var match in matchings)
{
var package = new DataPackage()
{
Similarity = match.Similarity,
Bounds = match.Rectangle,
Key = template.Key,
Hero = template.Hero,
Index = i,
};
data.Add(package);
}
}
}
var heroes = new List <int>();
var groups = data.GroupBy(_ => _.Index).OrderBy(_ => _.Key).ToList();
foreach (var group in groups)
{
var item = group.OrderByDescending(_ => _.Similarity).Take(1).FirstOrDefault();
heroes.Add(item.Hero);
if (DEBUGING == true)
{
Console.WriteLine("{0}:{1} ({2})", item.Hero, item.Key, item.Similarity);
}
}
Console.WriteLine("Launching Drafter");
var roster = string.Join(",", heroes.ToArray());
Process.Start("https://hgv-desolator.azurewebsites.net/#/draft?roster=" + roster);
Console.WriteLine("");
}
}
catch (Exception ex)
{
Console.WriteLine("Error");
// Next Time Gadget. NEXT TIME!
}
}