public override bool Do()
{
try
{
var bReqFullUpdate = !m_isSelfClearOut || (histogramsResults.Count == 0);
if (bReqFullUpdate)
{
histogramsResults.Clear();
}
IMovingPredict movingPredict = null;
MovingPredictType movingType = (MovingPredictType)EnumPropertys["MovingType"].Value;
switch (movingType)
{
case MovingPredictType.MovingAverage:
movingPredict = new MovingAverage(IntPropertys["MovingRange"].Value);
break;
case MovingPredictType.MovingMediana:
movingPredict = new MovingMediana(IntPropertys["MovingRange"].Value);
break;
default:
movingPredict = new MovingAverage(IntPropertys["MovingRange"].Value);
break;
}
int listID = 0;
for (int srcID = 0; srcID < Sources.Count; srcID++)
{
var outDatas = Sources[srcID].GetOut();
for (int dataID = 0; dataID < outDatas.Count; dataID++)
{
if (bReqFullUpdate)
{
histogramsResults.Add(RGBHistogram.GetHistograms(outDatas[dataID].Image));
}
Mat copy = outDatas[dataID].Image.Clone();
RGBHistogram.DrawChannel(copy, IntPropertys["x_show"].Value, IntPropertys["y_show"].Value,
FloatPropertys["scaleX"].Value, FloatPropertys["scaleY"].Value, movingPredict,
histogramsResults[listID], 0, new Bgr(0, 0, 255).MCvScalar, new Bgr(50, 0, 255).MCvScalar, false);
RGBHistogram.DrawChannel(copy, IntPropertys["x_show"].Value, IntPropertys["y_show"].Value,
FloatPropertys["scaleX"].Value, FloatPropertys["scaleY"].Value, movingPredict,
histogramsResults[listID], 1, new Bgr(255, 0, 0).MCvScalar, new Bgr(255, 0, 50).MCvScalar, false);
RGBHistogram.DrawChannel(copy, IntPropertys["x_show"].Value, IntPropertys["y_show"].Value,
FloatPropertys["scaleX"].Value, FloatPropertys["scaleY"].Value, movingPredict,
histogramsResults[listID], 2, new Bgr(0, 255, 0).MCvScalar, new Bgr(50, 255, 50).MCvScalar, false);
listID++;
this.m_out.Add(new DataSrc(copy, outDatas[dataID].Info, false));
}
}
}
catch (Exception ex) {
return(false);
}
return(true);
}
public static void DrawChannel(Mat img, int xPos, int yPos, double scaleX, double scaleY, IMovingPredict movingPredict, double[,] histograms, int nChannel, MCvScalar colorFill, MCvScalar color, bool isFill = false)
{
movingPredict.Clear();
double preValue = 0;
for (int nColor = 0; nColor < 255; nColor++)
{
double currentValue = histograms[nChannel, nColor];
currentValue = movingPredict.Predict(currentValue); // пропускаю currentValue через скользящую функцию
DrawBar(img, xPos, yPos, nColor, scaleX, scaleY, preValue, currentValue, colorFill, color, isFill);
preValue = currentValue;
}
}
