/// <summary>
/// Prepare the sampler instance.
/// </summary>
/// <param name="gui">Sampler type from GUI (combo-box)?</param>
private void checkSampler(bool gui)
{
string name = comboSampling.Text;
if (!gui && sset != null)
{
name = sset.samplingSource;
}
if (DefaultSampling.Samplings.ContainsKey(name))
{
sampler = DefaultSampling.Samplings[name];
}
else
{
sampler = new RandomSampling();
}
string dname = comboDensity.Text;
switch (dname)
{
case DefaultPdf.PDF_IMAGE:
if (densityFile == null ||
!File.Exists(densityFile))
{
Util.Log("Invalid density file: " + densityFile ?? "null");
density = new DensityFunction(-1);
break;
}
density = new RasterPdf(densityFile, checkNegative.Checked);
break;
case DefaultPdf.PDF_UNIFORM:
density = new DensityFunction(-1);
break;
case DefaultPdf.PDF_RAMP:
density = new DensityFunction(0);
break;
case DefaultPdf.PDF_COSRR:
density = new DensityFunction(1);
break;
case DefaultPdf.PDF_SINCR:
density = new DensityFunction(2);
break;
case DefaultPdf.PDF_SINCOS:
density = new DensityFunction(3);
break;
}
sampler.Density = density;
sampler.Break = false;
}
public SmartObjectLayer(SubPattern pattern, string name, System.Drawing.Bitmap bitmap, int x, int y, int width, int height) : base(pattern, name)
{
Crop = Crops[0];
Resampler = Resamplers[0];
Bitmap = bitmap;
_ObjectX = x;
_ObjectY = y;
_ObjectWidth = width;
_ObjectHeight = height;
}
private void WritePoints(ISampling sample, TimePoint[] data, AlignModes mode, String prefix = null)
{
if (prefix.IsNullOrEmpty())
{
prefix = "avg";
}
var f = $"Algorithms/{prefix}_{mode}_sampled.csv".GetFullPath();
//if (sample.BucketSize > 0) f = $"Algorithms/avgfill_{mode}_sampled.csv".GetFullPath();
if (File.Exists(f))
{
File.Delete(f);
}
using var csv = new CsvFile(f, true);
for (var i = 0; i < data.Length; i++)
{
csv.WriteLine(data[i].Time, data[i].Value);
}
csv.Dispose();
//XTrace.WriteLine(f);
}
public static void Register(ISampling s)
{
Samplings[s.Name] = s;
}
public void ChangeResampling(int num)
{
Resampler = Resamplers[num];
}
public void ParsePattern(ICrop crop, ISampling sampling, IColorQuantizer quantizer, IColorCache colorCache)
{
if (!this.IsParsing)
{
IsParsing = true;
Thread thread = new Thread(() =>
{
var bmp = new Bitmap((System.Drawing.Image)Image.Clone());
int desiredWidth = 32;
int desiredHeight = 32;
if (crop != null)
{
crop.SetImage(bmp);
desiredWidth = crop.GetWidth();
desiredHeight = crop.GetHeight();
}
if (quantizer is BaseColorCacheQuantizer colorCacheQuantizer)
{
colorCacheQuantizer.ChangeCacheProvider(colorCache);
}
var sampledBmp = sampling.Resample(bmp, desiredWidth, desiredHeight);
bmp.Dispose();
bmp = sampledBmp;
Bitmap croppedBmp = new Bitmap(32, 32, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
using (System.Drawing.Graphics graphics = System.Drawing.Graphics.FromImage(croppedBmp))
{
graphics.CompositingQuality = System.Drawing.Drawing2D.CompositingQuality.HighQuality;
graphics.DrawImage(bmp, (32 - bmp.Width) / 2, (32 - bmp.Height) / 2, bmp.Width, bmp.Height);
}
bmp.Dispose();
bmp = croppedBmp;
var transparentPixels = new bool[bmp.Width * bmp.Height];
for (var y = 0; y < bmp.Height; y++)
{
for (var x = 0; x < bmp.Width; x++)
{
transparentPixels[x + y * bmp.Width] = bmp.GetPixel(x, y).A != 255;
}
}
var targetImage = ImageBuffer.QuantizeImage(bmp, quantizer, null, 15, 1);
bmp.Dispose();
bmp = new Bitmap(targetImage);
for (var y = 0; y < bmp.Height; y++)
{
for (var x = 0; x < bmp.Width; x++)
{
if (transparentPixels[x + y * bmp.Width])
{
bmp.SetPixel(x, y, System.Drawing.Color.FromArgb(0, 0, 0, 0));
}
}
}
Result = bmp;
IsReady = true;
IsParsing = false;
});
thread.Start();
}
}