public override bool Do()
{
try
{
m_contours.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
CenterDrawMode CenterMode = (CenterDrawMode)EnumPropertys["CenterMode"].Value;
FilterDrawMode BoundingRect = (FilterDrawMode)EnumPropertys["BoundingRect"].Value;
bool bShowBoundingRect = BoundingRect == FilterDrawMode.Show;
FillDrawModeEnum FillMode = (FillDrawModeEnum)EnumPropertys["FillMode"].Value;
bool bFill = FillMode != FillDrawModeEnum.None;
MovingPredictType movingType = (MovingPredictType)EnumPropertys["MovingType"].Value;
foreach (var src in Sources)
{
IContourFilter searchFilter = src as IContourFilter;
if (searchFilter == null)
{
continue;
}
var outData = src.GetOut();
var contourSrcs = searchFilter.GetResultContours();
for (int dataID = 0; dataID < outData.Count; dataID++)
{
var dst = outData[dataID].Image.Clone();
var aroundContours = contourSrcs[dataID].GetAroundContours(CenterMode,
IntPropertys["HScale"].Value,
FloatPropertys["RScale"].Value,
movingType, IntPropertys["MovingRange"].Value
);
m_contours.Add(aroundContours);
if (DrawOn == FilterDrawMode.Show)
{
if (FillMode == FillDrawModeEnum.SourceMeanColor)
{
aroundContours.UpdateMainColorAsMeanOfMask(dst);
}
aroundContours.Draw(dst, bFill, bShowBoundingRect, CenterMode);
}
this.m_out.Add(new DataSrc(dst, outData[dataID].Info, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}
public override bool Do()
{
try
{
m_contours.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
FilterDrawMode BoundingRect = (FilterDrawMode)EnumPropertys["BoundingRect"].Value;
bool bShowBoundingRect = BoundingRect == FilterDrawMode.Show;
Rectangle rect = new Rectangle(IntPropertys["X"].Value - IntPropertys["SizeX"].Value / 2,
IntPropertys["Y"].Value - IntPropertys["SizeY"].Value / 2,
IntPropertys["SizeX"].Value, IntPropertys["SizeY"].Value);
foreach (var src in Sources)
{
IContourFilter searchFilter = src as IContourFilter;
if (searchFilter == null)
{
continue;
}
var outData = src.GetOut();
var contourSrcs = searchFilter.GetResultContours();
for (int dataID = 0; dataID < outData.Count; dataID++)
{
var dst = outData[dataID].Image.Clone();
var insideContours = contourSrcs[dataID].GetInsideRectArea(rect);
m_contours.Add(insideContours);
if (DrawOn == FilterDrawMode.Show)
{
insideContours.Draw(dst, false, bShowBoundingRect, CenterDrawMode.BoundingRectCenter);
CvInvoke.Rectangle(dst, rect, new MCvScalar(255, 77, 34), 5);
}
this.m_out.Add(new DataSrc(dst, outData[dataID].Info, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}
public override bool Do()
{
try
{
var bReqFullUpdate = !m_isSelfClearOut || (pixelSumResults.Count == 0);
if (bReqFullUpdate)
{
pixelSumResults.Clear();
}
FilterDrawMode drawMode = (FilterDrawMode)EnumPropertys["Draw"].Value;
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)
{
pixelSumResults.Add(OpenCVHelper.GetPixelSum(outDatas[dataID].Image));
}
if (drawMode == FilterDrawMode.Show)
{
double val = pixelSumResults[listID];
Mat copy = outDatas[dataID].Image.Clone();
CvInvoke.PutText(
copy,
"sum:" + val.ToString(),
new System.Drawing.Point(10, IntPropertys["y"].Value),
FontFace.HersheyComplex, 1.0, new Bgr(IntPropertys["r"].Value, IntPropertys["g"].Value, IntPropertys["b"].Value).MCvScalar);
this.m_out.Add(new DataSrc(copy, outDatas[dataID].Info, false));
}
else
{
this.m_out.Add(outDatas[dataID].Clone());
}
listID++;
}
}
} catch { return(false); }
return(true);
}
public override bool Do()
{
try
{
m_contours.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
FilterDrawMode BoundingRect = (FilterDrawMode)EnumPropertys["BoundingRect"].Value;
bool bShowBoundingRect = BoundingRect == FilterDrawMode.Show;
foreach (var src in Sources)
{
IContourFilter searchFilter = src as IContourFilter;
if (searchFilter == null)
{
continue;
}
var outData = src.GetOut();
var contourSrcs = searchFilter.GetResultContours();
for (int dataID = 0; dataID < outData.Count; dataID++)
{
var dst = outData[dataID].Image.Clone();
var shiftContours = contourSrcs[dataID].Shift(IntPropertys["ShiftX"].Value,
IntPropertys["ShiftY"].Value,
outData[dataID].Image.Width, outData[dataID].Image.Height);
m_contours.Add(shiftContours);
if (DrawOn == FilterDrawMode.Show)
{
shiftContours.Draw(dst, false, bShowBoundingRect, CenterDrawMode.BoundingRectCenter);
}
this.m_out.Add(new DataSrc(dst, outData[dataID].Info, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}
public override bool Do()
{
try
{
m_rectangles.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
bool bDraw = DrawOn == FilterDrawMode.Show;
int clVal = IntPropertys["Color"].Value;
var drawColor = new MCvScalar((clVal * 2) % 255, (clVal * 0.5) % 255, clVal);
var CenterMode = (FilterLogicMode)EnumPropertys["PixelSumCenter"].Value;
foreach (var src in Sources)
{
foreach (var outData in src.GetOut())
{
Mat dst = outData.Image.Clone();
int xx = 0;
int yy = 0;
int ww = IntPropertys["width"].Value;
int hh = IntPropertys["height"].Value;
switch (CenterMode)
{
case FilterLogicMode.Off:
xx = IntPropertys["x"].Value;
yy = IntPropertys["y"].Value;
break;
case FilterLogicMode.On:
var pointCenter = OpenCVHelper.GetXYPixelSumCenter(outData.Image);
xx = pointCenter.X - ww / 2;
yy = pointCenter.Y - hh / 2;
break;
}
if (xx < 0)
{
xx = 0;
}
if (yy < 0)
{
yy = 0;
}
if (xx > outData.Image.Width)
{
xx = outData.Image.Width;
}
if (yy > outData.Image.Height)
{
xx = outData.Image.Height;
}
if ((ww + xx) > outData.Image.Width)
{
ww = outData.Image.Width - xx;
}
if ((hh + yy) > outData.Image.Height)
{
hh = outData.Image.Height - yy;
}
Rectangle rect = new Rectangle(xx, yy, ww, hh);
if (m_rectangles.Count == 0)
{
m_rectangles.Add(rect); // буду делать только один ректангл, на все GetOut's, тут множить смысла не даёю, да лишний CropRectFilter делает
}
if (bDraw)
{
CvInvoke.Rectangle(dst, rect, drawColor, 3);
}
this.m_out.Add(new DataSrc(dst, outData.Info, false));
}
}
}
catch { return(false); }
return(true);
}
public override bool Do()
{
try
{
m_rectangles.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
RectExportMode ExportMode = (RectExportMode)EnumPropertys["ExportMode"].Value;
int drawSubID = 0;
foreach (var src in Sources)
{
var outData = src.GetOut();
IContourFilter contourFilter = src as IContourFilter;
if (contourFilter == null)
{
continue;
}
var contourOfImgs = contourFilter.GetResultContours();
for (int dataID = 0; dataID < outData.Count; dataID++)
{
switch (ExportMode)
{
case RectExportMode.ConcatenateBoundingCenterAbs:
case RectExportMode.ConcatenateeWeightCenterAbs:
m_rectangles.Add(
contourOfImgs[dataID].GeRectWithConcatenateCentert(IntPropertys["AbsWidth"].Value,
IntPropertys["AbsHeight"].Value,
ExportMode == RectExportMode.ConcatenateeWeightCenterAbs
));
break;
case RectExportMode.EachBoundingCenterAbs:
case RectExportMode.EachWeightCenterAbs:
foreach (var rect in contourOfImgs[dataID].ExportRects(IntPropertys["AbsWidth"].Value,
IntPropertys["AbsHeight"].Value,
ExportMode == RectExportMode.EachWeightCenterAbs))
{
m_rectangles.Add(rect);
}
break;
case RectExportMode.EachBoundingCenterScale:
foreach (var rect in contourOfImgs[dataID].ExportBoundingRects(FloatPropertys["ScaleWidth"].Value, FloatPropertys["ScaleHeight"].Value))
{
m_rectangles.Add(rect);
}
break;
}
var dst = outData[dataID].Image.Clone();
if (DrawOn == FilterDrawMode.Show)
{
for (int rectID = drawSubID; rectID < m_rectangles.Count; rectID++)
{
MCvScalar color = new MCvScalar((rectID * 23) % 255, (rectID * 44) % 255, ((rectID + 33) * 4) % 255);
CvInvoke.Rectangle(dst, m_rectangles[rectID], color, 3);
}
}
drawSubID = m_rectangles.Count;
this.m_out.Add(new DataSrc(dst, outData[dataID].Info, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}
public override bool Do()
{
try
{
m_rectangles.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
bool bDraw = DrawOn == FilterDrawMode.Show;
int clVal = IntPropertys["Color"].Value;
var drawColor = new MCvScalar((clVal * 2) % 255, (clVal * 0.5) % 255, clVal);
BaseFilter drawSourceFilter = Graph.GetFilter(EnumPropertys["DrawSource"].Value);
if (drawSourceFilter == null)
{
return(false);
}
foreach (var src in Sources)
{
IRectangleFilter rectFilter = src as IRectangleFilter;
if (rectFilter == null)
{
continue;
}
src.GetOut(); // нужно обновить принудительно
foreach (var outData in drawSourceFilter.GetOut())
{
foreach (var rct in rectFilter.GetResultRectangles())
{
Mat dst = outData.Image.Clone();
int xx = rct.X + IntPropertys["ShiftX"].Value;
int yy = rct.Y + IntPropertys["ShiftY"].Value;
int ww = rct.Width;
int hh = rct.Height;
if (xx > outData.Image.Width)
{
xx = outData.Image.Width;
}
if (yy > outData.Image.Height)
{
xx = outData.Image.Height;
}
if ((ww + xx) > outData.Image.Width)
{
ww = outData.Image.Width - xx;
}
if ((hh + yy) > outData.Image.Height)
{
hh = outData.Image.Height - yy;
}
Rectangle rect = new Rectangle(xx, yy, ww, hh);
if (m_rectangles.Count == 0)
{
m_rectangles.Add(rect); // буду делать только один ректангл, на все GetOut's, тут множить смысла не даёю, да лишний CropRectFilter делает
}
if (bDraw)
{
CvInvoke.Rectangle(dst, rect, drawColor, 3);
}
this.m_out.Add(new DataSrc(dst, outData.Info, false));
}
}
}
}
catch { return(false); }
return(true);
}
public override bool Do()
{
try
{
m_contours.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
FilterDrawMode BoundingRect = (FilterDrawMode)EnumPropertys["BoundingRect"].Value;
bool bShowBoundingRect = BoundingRect == FilterDrawMode.Show;
CenterDrawMode centerDrawMode = (CenterDrawMode)EnumPropertys["CenterDrawMode"].Value;
FillDrawModeEnum FillMode = (FillDrawModeEnum)EnumPropertys["FillMode"].Value;
bool bFill = FillMode != FillDrawModeEnum.None;
FilterDrawMode Histogram = (FilterDrawMode)EnumPropertys["Histogram"].Value;
bool bHistogram = Histogram == FilterDrawMode.Show;
SourceDrawModeEnum SourceMode = (SourceDrawModeEnum)EnumPropertys["SourceMode"].Value;
BaseFilter drawSourceFilter = Graph.GetFilter(EnumPropertys["DrawSource"].Value);
List <DataSrc> drawDataSrcs = null;
int drawDataCnt = 0;
if (drawSourceFilter != null)
{
drawDataSrcs = drawSourceFilter.GetOut();
drawDataCnt = drawDataSrcs.Count;
}
foreach (var src in Sources)
{
var outData = src.GetOut();
int dataID = 0; // перебор картинок в сорсе
int exsourceID = 0; // перебор картинок стороннего источника при DrawSourceMode
Mat currentImg = null;
while ((dataID < outData.Count) || ((SourceMode == SourceDrawModeEnum.DrawSource) && (exsourceID < drawDataCnt)))
{
string dataInfo = "unknow";
if (dataID < outData.Count)
{
dataInfo = outData[dataID].Info;
currentImg = outData[dataID++].Image;
}
if (currentImg == null)
{
break;
}
Mat dst = null;
switch (SourceMode)
{
case SourceDrawModeEnum.Self: dst = currentImg.Clone(); break;
case SourceDrawModeEnum.None: dst = new Mat(currentImg.Size, currentImg.Depth, currentImg.NumberOfChannels); break;
case SourceDrawModeEnum.DrawSource:
if (exsourceID < drawDataCnt)
{
dataInfo = drawDataSrcs[exsourceID].Info;
dst = drawDataSrcs[exsourceID++].Image.Clone();
}
else
{
dst = new Mat(currentImg.Size, currentImg.Depth, currentImg.NumberOfChannels);
}
break;
}
CvContours contours = new CvContours();
contours.Update(currentImg);
if (FillMode == FillDrawModeEnum.SourceMeanColor)
{
contours.UpdateMainColorAsMeanOfMask(dst);
}
if (centerDrawMode == CenterDrawMode.HistogramCenter)
{
contours.UpdateXYHistogram();
}
if (DrawOn == FilterDrawMode.Show)
{
contours.Draw(dst, bFill, bShowBoundingRect, centerDrawMode, IntPropertys["Thickness"].Value, bHistogram);
}
this.m_contours.Add(contours);
this.m_out.Add(new DataSrc(dst, dataInfo, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}
public override bool Do()
{
try
{
m_contours.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
FilterDrawMode BoundingRect = (FilterDrawMode)EnumPropertys["BoundingRect"].Value;
bool bShowBoundingRect = BoundingRect == FilterDrawMode.Show;
FilterSelectMode SelectMode = (FilterSelectMode)EnumPropertys["SelectMode"].Value;
Point hearPoint = new Point(IntPropertys["X"].Value, IntPropertys["Y"].Value);
FillDrawModeEnum FillMode = (FillDrawModeEnum)EnumPropertys["FillMode"].Value;
bool bFill = FillMode != FillDrawModeEnum.None;
foreach (var src in Sources)
{
IContourFilter searchFilter = src as IContourFilter;
if (searchFilter == null)
{
continue;
}
var outData = src.GetOut();
var contourSrcs = searchFilter.GetResultContours();
for (int dataID = 0; dataID < outData.Count; dataID++)
{
var dst = outData[dataID].Image.Clone();
CvContours selContours = null;
switch (SelectMode)
{
case FilterSelectMode.MaxArea:
selContours = contourSrcs[dataID].GetMaxAreaContour(); break;
case FilterSelectMode.NearPointBR:
selContours = contourSrcs[dataID].GetNearPointContour(hearPoint, CenterDrawMode.BoundingRectCenter); break;
case FilterSelectMode.NearPointW:
selContours = contourSrcs[dataID].GetNearPointContour(hearPoint, CenterDrawMode.PixelWeightCenter); break;
case FilterSelectMode.NearPointH:
selContours = contourSrcs[dataID].GetNearPointContour(hearPoint, CenterDrawMode.HistogramCenter); break;
}
selContours.SetColor(new MCvScalar(IntPropertys["Blue"].Value, IntPropertys["Green"].Value, IntPropertys["Red"].Value));
m_contours.Add(selContours);
if (DrawOn == FilterDrawMode.Show)
{
if (SelectMode != FilterSelectMode.MaxArea)
{
Point ln11 = new Point(IntPropertys["X"].Value, 0);
Point ln12 = new Point(IntPropertys["X"].Value, dst.Height);
Point ln21 = new Point(0, IntPropertys["Y"].Value);
Point ln22 = new Point(dst.Width, IntPropertys["Y"].Value);
CvInvoke.Line(dst, ln11, ln12, new MCvScalar(255, 0, 0), 4);
CvInvoke.Line(dst, ln21, ln22, new MCvScalar(255, 0, 0), 4);
}
selContours.Draw(dst, bFill, bShowBoundingRect);
}
this.m_out.Add(new DataSrc(dst, outData[dataID].Info, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}
public override bool Do()
{
try
{
m_contours.Clear();
FilterDrawMode DrawOn = (FilterDrawMode)EnumPropertys["DrawOn"].Value;
FilterDrawMode BoundingRect = (FilterDrawMode)EnumPropertys["BoundingRect"].Value;
bool bShowBoundingRect = BoundingRect == FilterDrawMode.Show;
CenterDrawMode centerDrawMode = (CenterDrawMode)EnumPropertys["CenterDrawMode"].Value;
FillDrawModeEnum FillMode = (FillDrawModeEnum)EnumPropertys["FillMode"].Value;
bool bFill = FillMode != FillDrawModeEnum.None;
FilterDrawMode Histogram = (FilterDrawMode)EnumPropertys["Histogram"].Value;
bool bHistogram = Histogram == FilterDrawMode.Show;
foreach (var src in Sources)
{
IContourFilter searchFilter = src as IContourFilter;
if (searchFilter == null)
{
continue;
}
var outData = src.GetOut();
var contourSrcs = searchFilter.GetResultContours();
for (int dataID = 0; dataID < outData.Count; dataID++)
{
var dst = outData[dataID].Image.Clone();
string dataInfo = outData[dataID].Info;
if (dataID >= contourSrcs.Count)
{
this.m_out.Add(new DataSrc(dst, dataInfo, false));
continue;
}
var sortAreaContour = contourSrcs[dataID].GetPerimeterInRange(FloatPropertys["MinArea"].Value, FloatPropertys["MaxArea"].Value);
var sortPerimeterContour = sortAreaContour.GetPerimeterInRange(FloatPropertys["MinPerimeter"].Value, FloatPropertys["MaxPerimeter"].Value);
var sortBoundingRectContour = sortPerimeterContour.GetBoundingRectInRange(IntPropertys["MinWidth"].Value, IntPropertys["MaxWidth"].Value,
IntPropertys["MinHeight"].Value, IntPropertys["MaxHeight"].Value);
if (FillMode == FillDrawModeEnum.SourceMeanColor)
{
sortBoundingRectContour.UpdateMainColorAsMeanOfMask(dst);
}
m_contours.Add(sortBoundingRectContour);
if (centerDrawMode == CenterDrawMode.HistogramCenter)
{
sortBoundingRectContour.UpdateXYHistogram();
}
if (DrawOn == FilterDrawMode.Show)
{
sortBoundingRectContour.Draw(dst, bFill, bShowBoundingRect, centerDrawMode, IntPropertys["Thickness"].Value, bHistogram);
}
this.m_out.Add(new DataSrc(dst, dataInfo, false));
}
}
}
catch (CvException ex)
{
return(false);
}
return(true);
}