public async Task RunAsync(IColorSpace colorSpace, int clusters, string outputDirectory, bool saveColorHistogram)
{
IsComplete = false;
IsRunning = true;
var clusterOperation = new BitmapClusterOperation("batch", colorSpace, "_converted");
await clusterOperation.RunAsync(OriginalImage.ToStandardRgbBitmap(), clusters, Path.GetFileNameWithoutExtension(OriginalFilePath), false);
outputFileName = GetOutputFileName(OriginalFilePath, outputDirectory, colorSpace, clusters, ".png");
clusterOperation.Bitmap.Save(outputFileName);
if (saveColorHistogram)
{
string histogramOutputDirectory = Path.Combine(outputDirectory, "colorHistograms");
Directory.CreateDirectory(histogramOutputDirectory);
SaveWeightedColorsToJson(clusterOperation, histogramOutputDirectory, colorSpace, clusters);
}
ComputedImage = clusterOperation.Bitmap;
ColorWeights = clusterOperation.ColorWeights;
Colors = clusterOperation.Colors;
IsRunning = false;
IsComplete = true;
}
private async Task ComputeSingle()
{
int clusters;
if (!int.TryParse(ClusterCountSingle.Text, out clusters))
{
MessageBox.Show("Could not parse the cluster count");
return;
}
if (clusters < 1 || clusters > 100)
{
MessageBox.Show("Clusters must be between 1 and 100");
return;
}
StandardRgbBitmap sourceBitmap = sourceImage.ToStandardRgbBitmap();
Func <Task>[] tasks =
{
() => rgbOperation.RunAsync(sourceBitmap, clusters, originalFileName, ShowSteps.IsChecked == true),
() => cieLuvOperation.RunAsync(sourceBitmap, clusters, originalFileName, ShowSteps.IsChecked == true),
() => cieLabOperation.RunAsync(sourceBitmap, clusters, originalFileName, ShowSteps.IsChecked == true)
};
if (ParallelExecution.IsChecked == true)
{
await Task.WhenAll(tasks.Select(t => t()));
}
else
{
foreach (var t in tasks)
{
await t();
}
}
}
