/// <summary>
/// 载入已入录人脸模型
/// </summary>
private static Dictionary <FaceEncoding, string> GetFaceEncodesList()
{
Dictionary <FaceEncoding, string> dictionary = new Dictionary <FaceEncoding, string>();
string path = @"faces";
if (!Directory.Exists(path))
{
var t = Directory.CreateDirectory(path);
}
string[] files = Directory.GetFiles(path, "*.txt", SearchOption.AllDirectories);
foreach (var file in files)
{
var name = Path.GetFileNameWithoutExtension(file);//取特征的人名
var dirPath = Path.GetDirectoryName(file);
string[] dats = Directory.GetFiles(dirPath, "*.dat", SearchOption.AllDirectories);
foreach (var dat in dats)
{
var bf = new BinaryFormatter();
using (var fs = new FileStream(dat, FileMode.Open))
{
FaceEncoding face = bf.Deserialize(fs) as FaceEncoding;
dictionary.Add(face, name);
}
}
}
return(dictionary);
}
/// <summary>
///辨識人臉
/// </summary>
private static void Recognition()
{
//將人臉編碼
FaceEncoding face_encode = null;
lock (key)
{
if (face == null)
{
return;
}
face_encode = GetFaceEncoding().FirstOrDefault();
}
if (face_encode != null)
{
using (face_encode)
{
//尋找使用者
int user_enc = FindUser(face_encode);
//如果有找到
if (user_enc != -1)
{
string user_name = face_Encs[user_enc].Name.Replace(".enc", "");
User.SetName(user_name);
}
else
{
User.Reset();
}
}
}
}
/// <summary>
/// 新增使用者
/// </summary>
public static void AddUser(string user_name)
{
lock (key)
{
//尋找臉
if (face != null)
{
try
{
//將人臉編碼
FaceEncoding face_encode = null;
face_encode = GetFaceEncoding().FirstOrDefault();
//將編碼完成的人臉寫入成enc檔案放到數據庫
var bf = new BinaryFormatter();
using (var fs = new FileStream("encs/" + user_name + ".enc", FileMode.OpenOrCreate))
{
bf.Serialize(fs, face_encode);
}
//重新載入人臉數據庫
LoadFace();
MessageBox.Show("User addition successfully！");
}
catch (Exception ex)
{
MessageBox.Show("User addition failed，Please try again！" + ex.Message + "\n" + ex.ToString());
}
}
else
{
MessageBox.Show("Can't find face,Please try again！");
}
}
}
public static byte[] Serialize(FaceEncoding faceEncoding)
{
var bf = new BinaryFormatter();
using var stream = new MemoryStream();
bf.Serialize(stream, faceEncoding);
var bytes = stream.ToArray();
return(bytes);
}
private byte[] SerializeFace(FaceEncoding faceEncoding)
{
BinaryFormatter binaryFormatter = new BinaryFormatter();
using (var stream = new MemoryStream())
{
binaryFormatter.Serialize(stream, faceEncoding);
return(stream.ToArray());
}
}
public FaceEncodingData(FaceEncoding value)
{
if (value == null)
{
throw new NullReferenceException("Null faceEncoding");
}
if (value.IsDisposed || value.Size <= 0)
{
throw new ArgumentException($"Invalid faceEncoding");
}
Value = value;
}
public void TestFaceDistanceEmptyLists()
{
using (var img = FaceRecognition.LoadImageFile(Path.Combine("TestImages", "biden.jpg")))
{
var encoding = this._FaceRecognition.FaceEncodings(img).ToArray()[0];
// empty list
var facesToCompare = new FaceEncoding[0];
var distanceResult = FaceRecognition.FaceDistances(facesToCompare, encoding).ToArray();
Assert.IsTrue(distanceResult.Length == 0);
}
}
public async Task <string> GetNewPhotoDescriptror([FromForm] IFormCollection form)
{
string uploadedFilePath = await GetUploadedFacePhotoPathAsync(form);
// загружаем изображение из файла
FaceEncoding encoding = CreateImageDescriptor(uploadedFilePath);
string descriptor = encoding != null
? JsonConvert.SerializeObject(encoding)
: "";
DeleteUploadedFacePhoto(uploadedFilePath);
return(descriptor);
}
private bool IsEqualFaceDescriptros(FaceEncoding uploadedImageEncoding, PhotoFaceDescriptor databasePhoto)
{
bool result = false;
// определяем порог допустимой точности
const double precision = 0.6d;
if (databasePhoto != null)
{
FaceEncoding imageEncodingToCompare =
JsonConvert.DeserializeObject <FaceEncoding>(databasePhoto.Descriptor);
result = FaceRecognition.CompareFace(
uploadedImageEncoding, imageEncodingToCompare, precision);
}
return(result);
}
private async Task <IEnumerable <Guid> > GetEqualFacePhotosAsync(string uploadedFilePath)
{
FaceEncoding uploadedImageEncoding = CreateImageDescriptor(uploadedFilePath);
var photoIdList = new List <Guid>();
var photoFaceDescriptors = await _context.LoadPhotoDescriptorsTest();
foreach (var desc in photoFaceDescriptors)
{
if (IsEqualFaceDescriptros(uploadedImageEncoding, desc))
{
photoIdList.Add(desc.PhotoFaceId);
}
}
return(photoIdList);
}
public async Task PopulateDescriptors()
{
var wantedPhotosFolderPath = String.Concat(
_appEnvironment.WebRootPath, "\\WantedFacePhotos\\", "photoCollection");
if (!Directory.Exists(wantedPhotosFolderPath))
{
Directory.CreateDirectory(wantedPhotosFolderPath);
}
var wantedFacePhotos = _context.LoadPhotoFilesTest();
string filePath = "";
foreach (var photo in wantedFacePhotos)
{
string photoName = string.Concat("\\photo.", photo.Mime);
filePath = string.Concat(wantedPhotosFolderPath, photoName);
await System.IO.File.WriteAllBytesAsync(filePath, photo.Photo);
Image photoImage = FaceRecognition.LoadImageFile(filePath);
IEnumerable <Location> faceLocations = _fr.FaceLocations(photoImage);
FaceEncoding faceEncoding = CreateImageDescriptor(filePath);
string encodingSerialized = faceEncoding != null
? JsonConvert.SerializeObject(faceEncoding)
: "";
PhotoFaceDescriptor desc;
if (!string.IsNullOrEmpty(encodingSerialized))
{
desc = new PhotoFaceDescriptor()
{
Id = Guid.NewGuid(),
PhotoFaceId = photo.PhotoId,
Descriptor = encodingSerialized
};
_context.PhotoFaceDescriptors.Add(desc);
_context.SaveChanges();
}
System.IO.File.Delete(filePath);
}
}
//判別使用者
private static int FindUser(FaceEncoding face_encode)
{
int result = -1;
double[] distances = FaceRecognition.FaceDistances(encodings, face_encode).ToArray();
double min_distance = 1;
//跟資料庫裡的使用者作比對
for (int i = 0; i < distances.Length; i++)
{
if (distances[i] < min_distance && distances[i] < 0.4)
{
min_distance = distances[i];
result = i;
}
}
return(result);
}
private FaceEncoding CreateImageDescriptor(string filePath)
{
FaceEncoding uploadedImageEncoding = null;
try
{
// создаём образ фотографии
Image uploadedImage = FaceRecognition.LoadImageFile(filePath);
// находим лицо на фотографии
IEnumerable <Location> uploadedLocations = _fr.FaceLocations(uploadedImage);
// кодируем изображение найденного лица
uploadedImageEncoding = _fr.FaceEncodings(uploadedImage, uploadedLocations).First();
}
catch (Exception)
{
return(null);
}
return(uploadedImageEncoding);
}
/// <summary>
/// 保存人脸模型
/// </summary>
private static void SaveFaceEncodes(byte[] imageBytes, FaceEncoding encoding, string name)
{
var dest = $"faces/{name}/";
if (!Directory.Exists(dest))
{
Directory.CreateDirectory(dest);
File.Create(Path.Combine(dest, name + ".txt"));
}
string[] files = Directory.GetFiles(dest);
//imageBytes
string ts = DateTime.Now.ToString("yyyyMMddHHmmssfff") + "_" + encoding.Size;
//格式 日期加上特征数
string datFilePath = $"{dest}/{ts}.dat";
string jpgFilePath = $"{dest}/{ts}.jpg";
var bf = new BinaryFormatter();
using (var fs = new FileStream(datFilePath, FileMode.OpenOrCreate))
{
bf.Serialize(fs, encoding);
}
File.WriteAllBytes(jpgFilePath, imageBytes);
}
private static string GetDistance(FaceEncoding a, FaceEncoding b)
{
return(a == null || b == null ? "N/A" : FaceRecognition.FaceDistance(a, b).ToString());
}