private Math::Matrix <double> CalculateInputMatrix(IList <string> frameImageFilePaths)
{
Math::Matrix <double> X = new DenseMatrix(frameImageFilePaths.Count, featureExtractor.Length);
StructuringElementEx kernel = new StructuringElementEx(3, 3, 1, 1, CV_ELEMENT_SHAPE.CV_SHAPE_ELLIPSE);
ParallelOptions options = new ParallelOptions();
options.MaxDegreeOfParallelism = 1;
Parallel.ForEach(Enumerable.Range(0, frameImageFilePaths.Count), options, i =>
{
Math::Vector <double> featureVector = featureExtractor.ExtractFeatures(new Image <Gray, Byte>(frameImageFilePaths[i]));
X.SetSubMatrix(i, 1, 0, featureExtractor.Length, featureVector.ToRowMatrix());
});
Console.Write(X.Row(1));
return(X);
}
public Math::Vector <double> ExtractFeatures(Image <Gray, Byte> frame)
{
Math::Vector <double> result = new DenseVector(Length);
Image <Gray, Byte> grayFrame = frame.Resize(frameWidth, frameHeight, INTER.CV_INTER_AREA);
Image <Gray, Byte> foregroundMask =
grayFrame.AbsDiff(background).ThresholdBinary(new Gray(40), new Gray(255)) -
grayFrame.ThresholdBinary(new Gray(200), new Gray(255));
CvInvoke.cvDilate(foregroundMask, foregroundMask, structuringElement, 1);
CvInvoke.cvErode(foregroundMask, foregroundMask, structuringElement, 2);
CvInvoke.cvDilate(foregroundMask, foregroundMask, structuringElement, 1);
//Image<Gray, byte> outline = foregroundMask - foregroundMask.Erode(1);
//Image<Gray, byte> edges = grayFrame.Canny(80, 150);
//Image<Gray, byte> foregroundEdges = edges.Min(foregroundMask.Dilate(1));
//outline.Save(@"D:\! Egyetem\! RWTH\Semester 2\Seminar CV\Datasets\UCSD\derived images\outlines\" + i + ".png");
//foregroundEdges.Save(@"D:\! Egyetem\! RWTH\Semester 2\Seminar CV\Datasets\UCSD\derived images\edges\" + i + ".png");
//foregroundMask.Save(@"D:\! Egyetem\! RWTH\Semester 2\Seminar CV\Datasets\UCSD\derived images\masks\" + i + ".png");
//i++;
IList <Image <Gray, Byte> > frameCells = ImageSplitter.SplitImage(grayFrame, N, M);
IList <Image <Gray, Byte> > foregroundMaskCells = ImageSplitter.SplitImage(foregroundMask, N, M);
int cellHeight = frame.Height / N;
int cellWidth = frame.Width / M;
for (int cellId = 0; cellId < frameCells.Count; ++cellId)
{
int offsetX = (cellId % M) * cellWidth;
int offsetY = (cellId / M) * cellHeight;
Math::Vector <double> featureVector =
cellFeatureExtractor.ExtractFeatures(
frameCells[cellId], foregroundMaskCells[cellId],
perspectiveCorrector.GetScaleFunction(offsetX, offsetY, frameHeight));
result.SetSubVector(featureVector.Count * cellId, featureVector.Count, featureVector);
}
return(result);
}
