public ILabel Get(IIdentifier id)
{
string filePath = _clientsPath + @"\$" + id.IdentifingCode.ToString() + @".txt";
string name;
using (TextReader tr = new StreamReader(filePath))
{
name = tr.ReadLine();
}
Label response = new Label(name, id);
for (int photoCounter = 0; photoCounter < _numOfPhotoes; photoCounter++)
{
string currrentPath = _imagesPath + @"\" + photoCounter.ToString() + "$" + id.IdentifingCode.ToString() + ".bmp";
FaceImage currentImage = new FaceImage(new Bitmap(currrentPath))
{
Id = id
};
response.AddImage(currentImage);
}
return(response);
}
public async Task <WisTResponse> RegisterAsync(RegistrationInfo userInfo)
{
WisTResponse response = WisTResponse.Registered;
var rootPath = _hostingEnvironemnt.ContentRootPath;
var detectConfig = _configuration["FaceClassifierPath"];
var recognizeConfig = _configuration["TransistRateCoefficient"];
var transistRateCoefficient = double.Parse(recognizeConfig, new NumberFormatInfo {
NumberDecimalSeparator = "."
});
var pathToHaar = Path.Combine(rootPath, detectConfig);
var images = new List <FaceImage>();
var login = new Label(userInfo.Login);
try
{
using (var memoryStream = new MemoryStream())
{
foreach (var onePhoto in userInfo.Photoes)
{
await onePhoto.CopyToAsync(memoryStream);
var image = new Bitmap(Image.FromStream(memoryStream));
login.AddImage(new FaceImage(image, pathToHaar));
}
}
_labelRepo.Add(login);
}
catch (UndetectedFaceException)
{
response = WisTResponse.NotDetectedFace;
return(response);
}
// _imgRepo.Add(images);
return(response);
}