static private void SerializeFacepointsWithCsv(CsvWriter csvwriter, CsvFer2013Row fer2013record, int refId, ref PointF[] facepoints)
{
csvwriter.WriteRecord(new CsvFer2013ModRow()
{
RefId = refId,
Emotion = fer2013record.emotion,
LandmarksX = ArrayToString(from point in facepoints select point.X),
LandmarksY = ArrayToString(from point in facepoints select point.Y),
Usage = fer2013record.Usage
});
csvwriter.NextRecord();
}
static private void RunWithCsv(CascadeClassifier faceDetector, FacemarkLBF facemark, string inputFilepath, string outputFilepath, Size imageSize)
{
using (var csvreader = new CsvReader(new StreamReader(inputFilepath)))
using (var csvwriter = new CsvWriter(new StreamWriter(outputFilepath, false)))
{
csvwriter.WriteHeader <CsvFer2013ModRow>();
csvwriter.NextRecord();
var record = new CsvFer2013Row();
var records = csvreader.EnumerateRecords(record);
int recordId = 0;
foreach (var r in records)
{
recordId++;
Image <Gray, byte> image = StringToImage(r.pixels, imageSize);
Rectangle face = image.ROI;
if (localiseFace)
{
Rectangle?detectionResult = DetectFace(faceDetector, image);
if (!detectionResult.HasValue)
{
continue;
}
face = detectionResult.Value;
}
//Image<Bgr, byte> colorImage = image.Convert<Bgr, byte>();
//CvInvoke.Imshow("image", colorImage);
//CvInvoke.WaitKey();
VectorOfPointF landmarks = MarkFacialPoints(facemark, image, face, out bool isSuccess);
if (!isSuccess)
{
continue;
}
//FaceInvoke.DrawFacemarks(colorImage, landmarks, new Bgr(0, 0, 255).MCvScalar);
//CvInvoke.Imshow("landmarked image", colorImage);
//CvInvoke.WaitKey();
//CvInvoke.DestroyAllWindows();
PointF[] facepoints = landmarks.ToArray();
if (normalise)
{
NormalizeFacepoints(facepoints);
}
SerializeFacepointsWithCsv(csvwriter, r, recordId, ref facepoints);
if (verbose)
{
Console.Write("\rRecord No: {0}", recordId);
}
}
if (verbose)
{
Console.WriteLine();
}
}
}
