List <Mat> Detect(Image <Bgr, byte> img, bool xoay = true)
{
string _dir = FileAndFolder.GetRunningPath();
string modelDetect = Path.Combine(_dir, "lib", "pcn_model");
var api = new APIGetFace(
Path.Combine(modelDetect, "PCN-1.prototxt"),
Path.Combine(modelDetect, "PCN-2.prototxt"),
Path.Combine(modelDetect, "PCN-3.prototxt"),
Path.Combine(modelDetect, "PCN.caffemodel")
);
// var list = API.Recognize_FaceKit(img);
var list = api.GetFace(img, 30, xoay);
return(list);
}
List <float[]> FaceNet(Image <Bgr, byte> imgRoot)
{
var result = new List <float[]>();
string _dir = FileAndFolder.GetRunningPath();
string modelFace = Path.Combine(_dir, "lib", "FaceModel", "facemodel.pb");
string modelTensor = Path.Combine(_dir, "lib", "FaceModel", "facetesor.dll");
var api = new APIRecognizeFace(modelFace, modelTensor);
var facesInRoot = Detect(imgRoot);
foreach (var item in facesInRoot)
{
var ar = api.FaceNet(item);
result.Add(ar);
}
return(result);
}