private async void Analyze()
{
UpdateControlsEnableState(false);
Data.Clear();
PrepareTempDirectory();
if (_centerFace == null)
{
_centerFace = new CenterFace();
}
if (_genderPredictor == null)
{
_genderPredictor = new GenderPredictor();
}
await Task.Run(() =>
{
RunGenderEstimation();
});
UpdateControlsEnableState(true);
SetListBoxFaces?.Invoke(Data);
SetSelectedLbItem?.Invoke(Data.FirstOrDefault().Name);
DrawRectsOnImage();
}
private static int Main(string[] args)
{
if (args.Length != 3)
{
Console.WriteLine(" .exe mode_path image_file");
return(-1);
}
var binPath = args[0];
var paramPath = args[1];
var param = new CenterFaceParameter
{
BinFilePath = binPath,
ParamFilePath = paramPath
};
using (var centerFace = CenterFace.Create(param))
{
var imageFile = args[2];
Console.WriteLine($"Processing {imageFile}");
using var image = Cv2.ImRead(imageFile);
using var inMat = NcnnDotNet.Mat.FromPixels(image.Data, NcnnDotNet.PixelType.Bgr2Rgb, image.Cols, image.Rows);
var faceInfos = centerFace.Detect(inMat, image.Cols, image.Rows).ToArray();
for (var i = 0; i < faceInfos.Length; i++)
{
var face = faceInfos[i];
var pt1 = new Point <float>(face.X1, face.Y1);
var pt2 = new Point <float>(face.X2, face.Y2);
Cv2.Rectangle(image, pt1, pt2, new Scalar <double>(0, 255, 0), 2);
for (var j = 0; j < 5; j++)
{
var center = new Point <float>(face.Landmarks[2 * j], face.Landmarks[2 * j + 1]);
Cv2.Circle(image, center, 2, new Scalar <double>(255, 255, 0), 2);
}
}
Cv2.ImShow("Test", image);
Cv2.WaitKey();
}
return(0);
}
