private void ValidateAlgorithmParameters(
List <string> errors,
Network network,
Dictionary <string, string> parameters,
AnalysisAlgorithm algorithm)
{
var json = parameters.GetValueOrDefault("parameters");
if (parameters is null)
{
errors.Add("Parameter 'parameters' is required.");
}
else
{
try
{
var deserialized = JsonConvert.DeserializeObject <Dictionary <string, string> >(json);
switch (algorithm)
{
case AnalysisAlgorithm.FluidC:
ValidateFluidC(network, errors, parameters);
break;
case AnalysisAlgorithm.KClique:
break;
// TODO: add KCliques
}
}
catch (Exception)
{
errors.Add("Parameter 'parameters' is not a valid Dictionary<string, string>.");
}
}
}
public static bool IsSingleLayer(this AnalysisAlgorithm algorithm)
{
return
(algorithm == AnalysisAlgorithm.FluidC ||
algorithm == AnalysisAlgorithm.KClique ||
algorithm == AnalysisAlgorithm.LabelPropagation ||
algorithm == AnalysisAlgorithm.Louvain);
}
public void AnalyzeFrame(ref VideoFrame frame, AnalysisAlgorithm algorithm, BiasAlgorithm bias, int calTop, int calLeft, int calHeight, int calWidth)
{
Bias = bias;
WriteableBitmap bitmap = new WriteableBitmap(frame.SoftwareBitmap.PixelWidth, frame.SoftwareBitmap.PixelHeight);
var converted = SoftwareBitmap.Convert(frame.SoftwareBitmap, BitmapPixelFormat.Bgra8);
converted.CopyToBuffer(bitmap.PixelBuffer);
switch (algorithm)
{
case AnalysisAlgorithm.MostFrequentColor:
MostFrequentColor(ref bitmap, calTop, calLeft, calHeight, calWidth);
break;
case AnalysisAlgorithm.PureAverage:
PureAverage(ref bitmap, calTop, calLeft, calHeight, calWidth);
break;
case AnalysisAlgorithm.MostFrequentWholeColor:
MostFrequentWholeColor(ref bitmap, calTop, calLeft, calHeight, calWidth);
break;
}
}
public static bool IsMultiLayer(this AnalysisAlgorithm algorithm)
{
return(!IsSingleLayer(algorithm));
}
