public void Evaluate(int SpreadMax)
{
if (FFirstRun)
{
FPinOutOutput[0] = FOutput;
FFirstRun = false;
}
if (FPinInProperties.IsChanged)
{
FPayload = FPinInProperties[0];
if (FPayload == null)
{
FStatus[0] = "Needs properties";
FImage.Initialise(new Size(1, 1), TColourFormat.L8);
return;
}
FImage.Initialise(FPayload.FrameAttributes);
FNeedsUpdate = true;
}
if (FNeedsUpdate || FPinInFrame.IsChanged)
{
Update();
FNeedsUpdate = false;
}
}
public override void Allocate()
{
FGreyscale.Initialise(FInput.ImageAttributes.Size, TColorFormat.L8);
FPositive.Initialise(FGreyscale.ImageAttributes);
FNegative.Initialise(FGreyscale.ImageAttributes);
ScanSet.Allocate(FInput.ImageAttributes.Size);
}
public override void Allocate()
{
FHsvImage.Initialise(FInput.ImageAttributes.Size, TColorFormat.HSV32F);
FBuffer.Initialise(FInput.ImageAttributes.Size, TColorFormat.L8);
FOutput.Image.Initialise(FInput.Image.ImageAttributes);
FMult = FInput.ImageAttributes.BytesPerPixel > 4 ? float.MaxValue : byte.MaxValue;
}
public override void Allocate()
{
FSize = FInput.ImageAttributes.Size;
FOutput.Image.Initialise(FSize, TColorFormat.RGB32F);
FCurrent.Initialise(FSize, TColorFormat.L8);
FPrevious.Initialise(FSize, TColorFormat.L8);
FVelocityX.Initialise(FSize, TColorFormat.L32F);
FVelocityY.Initialise(FSize, TColorFormat.L32F);
}
void Allocate()
{
lock (FLock)
{
FGreyscale.Initialise(FInput.ImageAttributes.Size, TColourFormat.L8);
FHigh.Initialise(FGreyscale.ImageAttributes);
FLow.Initialise(FGreyscale.ImageAttributes);
FScanSet.Allocate(FInput.ImageAttributes.Size);
FAllocated = true;
}
}
public override void Allocate()
{
TColorFormat AsGrayscale = TypeUtils.ToGrayscale(FInput.ImageAttributes.ColorFormat);
FNeedsConversion = (AsGrayscale != FInput.ImageAttributes.ColorFormat);
if (FNeedsConversion)
{
FGrayscale.Initialise(FInput.ImageAttributes.Size, AsGrayscale);
}
FOutput.Image.Initialise(FGrayscale.ImageAttributes);
}
public override void Allocate()
{
FOutFormat = ImageUtils.MakeGrayscale(FInput.ImageAttributes.ColorFormat);
//if we can't convert or it's already grayscale, just pass through
if (FOutFormat == TColorFormat.UnInitialised)
{
FOutFormat = FInput.ImageAttributes.ColorFormat;
}
FOutput.Image.Initialise(FInput.Image.ImageAttributes.Size, FOutFormat);
FGrayScale.Initialise(FInput.Image.ImageAttributes.Size, FOutFormat);
}
public void Evaluate(int SpreadMax)
{
if (FFirstRun)
{
FPinOutOutput[0] = new CVImageLink();
FFirstRun = false;
}
if (FPinInInput.IsChanged)
{
FScanSet = FPinInInput[0];
if (FScanSet != null)
{
FScanSet.UpdateAttributes += new EventHandler(FScanSet_UpdateAttributes);
FScanSet.UpdateData += new EventHandler(FScanSet_UpdateData);
FAttributesUpdated = FScanSet.Initialised;
FDataUpdated = FScanSet.DataAvailable;
}
}
if (FAttributesUpdated)
{
FOutput.Initialise(FScanSet.CameraSize, TColourFormat.L8);
FDataUpdated = FScanSet.DataAvailable;
FAllocated = true;
FAttributesUpdated = false;
}
if (FDataUpdated || FPinInThreshold.IsChanged)
{
if (FAllocated)
{
UpdateData();
FPinOutOutput[0].Send(FOutput);
}
FDataUpdated = false;
}
}
public override void Allocate()
{
FGrayScale.Initialise(FInput.Image.Size, TColorFormat.L8);
}
public override void Allocate()
{
FBgrImage.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.RGB8);
}
override public void Process()
{
if (!Enabled)
{
return;
}
if (!FGrayscale.Allocated || FGrayscale.Size != FInput.ImageAttributes.Size)
{
FGrayscale.Initialise(FInput.ImageAttributes.Size, TColorFormat.L8);
}
FInput.Image.GetImage(TColorFormat.L8, FGrayscale);
Size SizeNow = BoardSize;
PointF[] points = null;
if (TestAtLowResolution)
{
if (!FLowResolution.Allocated)
{
FLowResolution.Initialise(new Size(1024, 1024), TColorFormat.L8);
}
CvInvoke.cvResize(FGrayscale.CvMat, FLowResolution.CvMat, INTER.CV_INTER_LINEAR);
var lowResPoints = CameraCalibration.FindChessboardCorners(FLowResolution.GetImage() as Image <Gray, byte>, SizeNow, CALIB_CB_TYPE.ADAPTIVE_THRESH);
if (lowResPoints != null)
{
int minX = FGrayscale.Width;
int minY = FGrayscale.Height;
int maxX = 0;
int maxY = 0;
foreach (var point in lowResPoints)
{
if ((int)point.X > maxX)
{
maxX = (int)point.X;
}
if ((int)point.Y > maxY)
{
maxY = (int)point.Y;
}
if ((int)point.X < minX)
{
minX = (int)point.X;
}
if ((int)point.Y < minY)
{
minY = (int)point.Y;
}
}
minX = minX * FGrayscale.Width / 1024;
maxX = maxX * FGrayscale.Width / 1024;
minY = minY * FGrayscale.Height / 1024;
maxY = maxY * FGrayscale.Height / 1024;
int boardResolutionMin = Math.Min(SizeNow.Width, SizeNow.Height);
int strideX = (maxX - minX) / boardResolutionMin;
int strideY = (maxY - minY) / boardResolutionMin;
minX -= strideX * 2;
maxX += strideX * 2;
minY -= strideY * 2;
maxY += strideY * 2;
if (minX < 0)
{
minX = 0;
}
if (minY < 0)
{
minY = 0;
}
if (maxX > FGrayscale.Width - 1)
{
maxX = FGrayscale.Width - 1;
}
if (maxY > FGrayscale.Height - 1)
{
maxY = FGrayscale.Height - 1;
}
Rectangle rect = new Rectangle(minX, minY, maxX - minX, maxY - minY);
CvInvoke.cvSetImageROI(FGrayscale.CvMat, rect);
FCropped.Initialise(new Size(rect.Width, rect.Height), TColorFormat.L8);
CvInvoke.cvCopy(FGrayscale.CvMat, FCropped.CvMat, IntPtr.Zero);
CvInvoke.cvResetImageROI(FGrayscale.CvMat);
points = CameraCalibration.FindChessboardCorners(FCropped.GetImage() as Image <Gray, byte>, SizeNow, CALIB_CB_TYPE.ADAPTIVE_THRESH);
if (points != null)
{
for (int iPoint = 0; iPoint < points.Length; iPoint++)
{
points[iPoint].X += minX;
points[iPoint].Y += minY;
}
}
}
}
else
{
points = CameraCalibration.FindChessboardCorners(FGrayscale.GetImage() as Image <Gray, byte>, SizeNow, CALIB_CB_TYPE.ADAPTIVE_THRESH);
}
lock (FFoundPointsLock)
{
if (points == null)
{
SearchFailed = true;
FFoundPoints.SliceCount = 0;
}
else
{
SearchSuccessful = true;
FFoundPoints.SliceCount = SizeNow.Width * SizeNow.Height;
for (int i = 0; i < FFoundPoints.SliceCount; i++)
{
FFoundPoints[i] = new Vector2D(points[i].X, points[i].Y);
}
}
}
}
public override void Allocate()
{
FOutput.Image.Initialise(FInput.ImageAttributes.Size, TColorFormat.L8);
FBackground.Initialise(FInput.ImageAttributes.Size, TColorFormat.L8);
}
public override void Allocate()
{
FBuffer.Initialise(FInput.ImageAttributes);
}
public override void Allocate()
{
FOutput.Image.Initialise(FInput.ImageAttributes);
FLastFrame.Initialise(FInput.ImageAttributes);
}
public override void Initialise()
{
FGrayScale.Initialise(FInput.Image.ImageAttributes.Size, TColourFormat.L8);
}
public override void Allocate()
{
FOutput.Image.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.L8);
FMask.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.L8);
FUnmasked.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.L8);
}
public override void Allocate()
{
Buffer.Initialise(FInput.ImageAttributes.Size, TColorFormat.L8);
}
public override void Allocate()
{
FImageGT.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.L8);
FImageLT.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.L8);
FOutput.Image.Initialise(FInput.Image.ImageAttributes.Size, TColorFormat.L8);
}
public void Evaluate(int SpreadMax)
{
for (int i = SpreadMax; i < FOutput.SliceCount; i++)
FOutput[i].Dispose();
while (FOutput.SliceCount < SpreadMax)
FOutput.Add(new CVImageLink());
FStatus.SliceCount = SpreadMax;
for (int i = 0; i < SpreadMax; i++)
{
if (!FDo[i])
continue;
var inputSpread = FInput[i];
var output = FOutput[i];
foreach(var image in inputSpread)
{
image.LockForReading();
}
CVImage result = new CVImage();
try
{
int size = inputSpread.SliceCount;
Image<Bgr, Byte>[] images = new Image<Bgr, byte>[size];
List<CVImage> ToDispose = new List<CVImage>();
for (int j = 0; j < size; j++)
{
if (inputSpread[j].FrontImage.ImageAttributes.ColourFormat == TColorFormat.RGB8)
{
images[j] = inputSpread[j].FrontImage.GetImage() as Image<Bgr, Byte>;
}
else
{
var image = new CVImage();
ToDispose.Add(image);
image.Initialise(inputSpread[j].FrontImage.Size, TColorFormat.RGB8);
inputSpread[j].FrontImage.GetImage(image);
images[j] = image.GetImage() as Image<Bgr, Byte>;
}
}
result.SetImage(FStitcher.Stitch(images));
foreach (var image in ToDispose)
{
image.Dispose();
}
FStatus[i] = "OK";
}
catch (Exception e)
{
FStatus[i] = e.Message;
}
finally
{
foreach(var image in inputSpread)
{
image.ReleaseForReading();
}
}
output.Send(result);
}
}
void UpdateAttributes(CVImageAttributes attributes)
{
FImage.Initialise(attributes);
}
public void Evaluate(int SpreadMax)
{
for (int i = SpreadMax; i < FOutput.SliceCount; i++)
{
FOutput[i].Dispose();
}
while (FOutput.SliceCount < SpreadMax)
{
FOutput.Add(new CVImageLink());
}
FStatus.SliceCount = SpreadMax;
for (int i = 0; i < SpreadMax; i++)
{
if (!FDo[i])
{
continue;
}
var inputSpread = FInput[i];
var output = FOutput[i];
foreach (var image in inputSpread)
{
image.LockForReading();
}
CVImage result = new CVImage();
try
{
int size = inputSpread.SliceCount;
Image <Bgr, Byte>[] images = new Image <Bgr, byte> [size];
List <CVImage> ToDispose = new List <CVImage>();
for (int j = 0; j < size; j++)
{
if (inputSpread[j].FrontImage.ImageAttributes.ColourFormat == TColorFormat.RGB8)
{
images[j] = inputSpread[j].FrontImage.GetImage() as Image <Bgr, Byte>;
}
else
{
var image = new CVImage();
ToDispose.Add(image);
image.Initialise(inputSpread[j].FrontImage.Size, TColorFormat.RGB8);
inputSpread[j].FrontImage.GetImage(image);
images[j] = image.GetImage() as Image <Bgr, Byte>;
}
}
result.SetImage(FStitcher.Stitch(images));
foreach (var image in ToDispose)
{
image.Dispose();
}
FStatus[i] = "OK";
}
catch (Exception e)
{
FStatus[i] = e.Message;
}
finally
{
foreach (var image in inputSpread)
{
image.ReleaseForReading();
}
}
output.Send(result);
}
}