Add Face

2026-06-19 18:19:30 +03:00
parent 794fc621ff
commit 90cbc7c506
14 changed files with 33988 additions and 0 deletions
@@ -0,0 +1,144 @@
+using Emgu.CV;
+using FaceRecognitionApp.Models;
+
+namespace FaceRecognitionApp.Services;
+
+public class CameraService : IDisposable
+{
+    private VideoCapture? _capture;
+    private readonly FaceRecognitionService _recognition;
+    private readonly Action<DetectedFace> _onDetected;
+    private CancellationTokenSource? _cts;
+    private Task? _task;
+    private DateTime _lastTime = DateTime.MinValue;
+    private bool _isDisposed = false;
+
+    public CameraService(string url, FaceRecognitionService recognition, Action<DetectedFace> onDetected)
+    {
+        _recognition = recognition;
+        _onDetected = onDetected;
+
+        Console.WriteLine($"Initializing camera with URL: {url}");
+        _capture = new VideoCapture(url);
+
+        // Даем камере время на инициализацию потока
+        Thread.Sleep(1000);
+
+        if (!_capture.IsOpened)
+            throw new Exception("Camera failed to open. Check URL and network connection.");
+
+        Console.WriteLine("Camera hardware initialized.");
+    }
+
+    public void Start()
+    {
+        if (_isDisposed) return;
+
+        _cts = new CancellationTokenSource();
+        _task = Task.Run(() => Loop(_cts.Token));
+        Console.WriteLine("Camera processing loop started.");
+    }
+
+    private async Task Loop(CancellationToken token)
+    {
+        Console.WriteLine("🎥 Frame processing loop active...");
+
+        while (!token.IsCancellationRequested)
+        {
+            try
+            {
+                using var frame = new Mat();
+
+                // Читаем кадр с таймаутом
+                if (_capture!.Read(frame))
+                {
+                    if (!frame.IsEmpty && frame.Width > 0 && frame.Height > 0)
+                    {
+                        var face = _recognition.ProcessFrame(frame);
+
+                        if (face != null)
+                        {
+                            // Лимит частоты отправок (не чаще раза в 2 секунды)
+                            if ((DateTime.Now - _lastTime).TotalMilliseconds > 2000)
+                            {
+                                _lastTime = DateTime.Now;
+                                _onDetected(face);
+
+                                string status = face.IsRecognized
+                                    ? $"✅ Recognized: {face.MatchedEmployee?.Name}"
+                                    : "❌ Unknown face";
+
+                                Console.WriteLine($"{DateTime.Now:HH:mm:ss} - {status}");
+                            }
+                        }
+                    }
+                }
+                else
+                {
+                    // Если Read вернул false, возможно потеря связи
+                    Console.WriteLine("⚠️ Failed to read frame, retrying...");
+                    await Task.Delay(500, token);
+                }
+
+                // Небольшая задержка, чтобы не грузить процессор на 100%
+                await Task.Delay(50, token);
+            }
+            catch (OperationCanceledException)
+            {
+                // Это нормальная ситуация при остановке
+                break;
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"⚠️ Error in camera loop: {ex.Message}");
+                await Task.Delay(1000, token);
+            }
+        }
+
+        Console.WriteLine("🛑 Camera loop finished.");
+    }
+
+    public void Stop()
+    {
+        if (_cts == null) return;
+
+        Console.WriteLine("Stopping camera service...");
+        _cts.Cancel();
+
+        try
+        {
+            // Ждем завершения задачи, но не бесконечно
+            if (_task != null)
+            {
+                _task.Wait(TimeSpan.FromSeconds(5));
+            }
+        }
+        catch (AggregateException ex)
+        {
+            // Игнорируем ошибки отмены задачи
+            foreach (var inner in ex.InnerExceptions)
+            {
+                if (!(inner is TaskCanceledException || inner is OperationCanceledException))
+                {
+                    Console.WriteLine($"Unexpected error during stop: {inner.Message}");
+                }
+            }
+        }
+        catch (Exception ex)
+        {
+            Console.WriteLine($"Error stopping task: {ex.Message}");
+        }
+    }
+
+    public void Dispose()
+    {
+        if (_isDisposed) return;
+
+        Stop();
+        _capture?.Dispose();
+        _cts?.Dispose();
+        _isDisposed = true;
+
+        Console.WriteLine("Camera resources released.");
+    }
+}
@@ -0,0 +1,65 @@
+using Microsoft.Data.Sqlite;
+using FaceRecognitionApp.Models;
+
+namespace FaceRecognitionApp.Services;
+
+public class DatabaseService
+{
+    private readonly string _connectionString = "Data Source=faces.db";
+
+    public DatabaseService()
+    {
+        InitializeDatabase();
+    }
+
+    private void InitializeDatabase()
+    {
+        using var connection = new SqliteConnection(_connectionString);
+        connection.Open();
+        var cmd = connection.CreateCommand();
+        cmd.CommandText = @"
+            CREATE TABLE IF NOT EXISTS Employees (
+                Id INTEGER PRIMARY KEY AUTOINCREMENT,
+                Name TEXT NOT NULL,
+                Department TEXT,
+                FaceDescriptor BLOB,
+                Photo BLOB
+            )";
+        cmd.ExecuteNonQuery();
+    }
+
+    public void AddEmployee(string name, string? dept, byte[] descriptor, byte[] photo)
+    {
+        using var connection = new SqliteConnection(_connectionString);
+        connection.Open();
+        var cmd = connection.CreateCommand();
+        cmd.CommandText = "INSERT INTO Employees (Name, Department, FaceDescriptor, Photo) VALUES (@n, @d, @desc, @p)";
+        cmd.Parameters.AddWithValue("@n", name);
+        cmd.Parameters.AddWithValue("@d", (object?)dept ?? DBNull.Value);
+        cmd.Parameters.AddWithValue("@desc", descriptor);
+        cmd.Parameters.AddWithValue("@p", photo);
+        cmd.ExecuteNonQuery();
+    }
+
+    public List<Employee> GetAllEmployees()
+    {
+        var list = new List<Employee>();
+        using var connection = new SqliteConnection(_connectionString);
+        connection.Open();
+        var cmd = connection.CreateCommand();
+        cmd.CommandText = "SELECT * FROM Employees";
+        using var reader = cmd.ExecuteReader();
+        while (reader.Read())
+        {
+            list.Add(new Employee
+            {
+                Id = reader.GetInt32(0),
+                Name = reader.GetString(1),
+                Department = reader.IsDBNull(2) ? null : reader.GetString(2),
+                FaceDescriptor = (byte[])reader[3],
+                Photo = reader.IsDBNull(4) ? null : (byte[])reader[4]
+            });
+        }
+        return list;
+    }
+}
@@ -0,0 +1,234 @@
+using Emgu.CV;
+using Emgu.CV.CvEnum;
+using Emgu.CV.Face;
+using Emgu.CV.Structure;
+using Emgu.CV.Util;
+using FaceRecognitionApp.Models;
+using System.Drawing;
+using System.Runtime.InteropServices;
+
+namespace FaceRecognitionApp.Services;
+
+public class FaceRecognitionService : IDisposable
+{
+    private readonly LBPHFaceRecognizer _recognizer;
+    private readonly CascadeClassifier _cascade;
+    private readonly DatabaseService _db;
+    private List<Employee> _employees = new();
+    private bool _isTrained = false;
+
+    // Коэффициент уменьшения кадра для ускорения поиска
+    private const double ResizeScale = 0.5;
+    private const int OriginalMinSize = 30;
+    private readonly Size _scaledMinSize;
+
+    public FaceRecognitionService(DatabaseService db)
+    {
+        _db = db;
+        var cascadePath = Path.Combine(AppContext.BaseDirectory, "haarcascade_frontalface_default.xml");
+        if (!File.Exists(cascadePath))
+            throw new FileNotFoundException($"Cascade file missing at: {cascadePath}");
+
+        _cascade = new CascadeClassifier(cascadePath);
+        _recognizer = new LBPHFaceRecognizer(1, 8, 8, 8, 80.0);
+
+        // Вычисляем минимальный размер лица для уменьшенного кадра
+        int scaledMin = (int)(OriginalMinSize * ResizeScale);
+        _scaledMinSize = new Size(Math.Max(scaledMin, 10), Math.Max(scaledMin, 10));
+
+        TrainModel();
+    }
+
+    private void TrainModel()
+    {
+        _employees = _db.GetAllEmployees();
+        if (!_employees.Any()) return;
+
+        using var images = new VectorOfMat();
+        using var labels = new VectorOfInt();
+
+        foreach (var emp in _employees)
+        {
+            if (emp.Photo == null || emp.Photo.Length == 0) continue;
+
+            try
+            {
+                using var ms = new MemoryStream(emp.Photo);
+                using var bmp = new Bitmap(ms);
+                using var mat = BitmapToMat(bmp);
+                using var gray = new Mat();
+
+                CvInvoke.CvtColor(mat, gray, ColorConversion.Bgr2Gray);
+
+                // Ищем лицо на фото сотрудника для обрезки
+                var rects = _cascade.DetectMultiScale(gray, 1.1, 5, new Size(30, 30));
+
+                if (rects.Length > 0)
+                {
+                    using var faceMat = new Mat(gray, rects[0]);
+                    using var resized = new Mat();
+                    CvInvoke.Resize(faceMat, resized, new Size(100, 100));
+
+                    images.Push(resized);
+                    labels.Push(new int[] { emp.Id });
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"Training error for {emp.Name}: {ex.Message}");
+            }
+        }
+
+        if (images.Size > 0)
+        {
+            _recognizer.Train(images, labels);
+            _isTrained = true;
+            Console.WriteLine($"✅ Trained on {images.Size} faces.");
+        }
+        else
+        {
+            Console.WriteLine("⚠️ No valid faces found for training.");
+        }
+    }
+
+    public DetectedFace? ProcessFrame(Mat frame)
+    {
+        if (frame == null || frame.IsEmpty) return null;
+
+        // === УСКОРЕНИЕ: Уменьшаем кадр для поиска лиц ===
+        using var smallFrame = new Mat();
+        CvInvoke.Resize(frame, smallFrame, new Size(), ResizeScale, ResizeScale, Inter.Linear);
+
+        using var gray = new Mat();
+        CvInvoke.CvtColor(smallFrame, gray, ColorConversion.Bgr2Gray);
+
+        // Ищем лица на уменьшенном кадре
+        var rects = _cascade.DetectMultiScale(gray, 1.1, 5, _scaledMinSize);
+
+        if (rects.Length == 0)
+            return null;
+
+        var smallRect = rects[0];
+
+        // === ВОССТАНОВЛЕНИЕ координат к оригинальному размеру ===
+        int invScale = (int)(1.0 / ResizeScale);
+        var originalRect = new Rectangle(
+            smallRect.X * invScale,
+            smallRect.Y * invScale,
+            smallRect.Width * invScale,
+            smallRect.Height * invScale
+        );
+
+        // Проверка границ по оригинальному кадру
+        if (originalRect.X < 0 || originalRect.Y < 0 ||
+            originalRect.Right > frame.Width || originalRect.Bottom > frame.Height)
+            return null;
+
+        // Вырезаем лицо из ОРИГИНАЛЬНОГО кадра (лучшее качество для распознавания)
+        using var faceMat = new Mat(frame, originalRect);
+        using var faceGray = new Mat();
+        CvInvoke.CvtColor(faceMat, faceGray, ColorConversion.Bgr2Gray);
+
+        using var resized = new Mat();
+        CvInvoke.Resize(faceGray, resized, new Size(100, 100));
+
+        var result = new DetectedFace();
+
+        if (_isTrained)
+        {
+            try
+            {
+                var prediction = _recognizer.Predict(resized);
+
+                int label = prediction.Label;
+                double confidence = prediction.Distance;
+
+                if (label != -1 && confidence < 80)
+                {
+                    result.IsRecognized = true;
+                    result.MatchedEmployee = _employees.FirstOrDefault(e => e.Id == label);
+                    result.Confidence = confidence;
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"Prediction error: {ex.Message}");
+            }
+        }
+
+        // Конвертация в JPEG для веб-интерфейса
+        using var ms = new MemoryStream();
+        using var bmp = MatToBitmap(resized);
+        bmp.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg);
+        result.ImageData = ms.ToArray();
+
+        return result;
+    }
+
+    /// <summary>
+    /// Безопасная конвертация Bitmap → Mat через промежуточный буфер
+    /// </summary>
+    private static Mat BitmapToMat(Bitmap bitmap)
+    {
+        var mat = new Mat(bitmap.Height, bitmap.Width, DepthType.Cv8U, 3);
+
+        var data = bitmap.LockBits(
+            new Rectangle(0, 0, bitmap.Width, bitmap.Height),
+            System.Drawing.Imaging.ImageLockMode.ReadOnly,
+            System.Drawing.Imaging.PixelFormat.Format24bppRgb);
+
+        try
+        {
+            int length = Math.Abs(data.Stride) * bitmap.Height;
+            byte[] buffer = new byte[length];
+            Marshal.Copy(data.Scan0, buffer, 0, length);
+            Marshal.Copy(buffer, 0, mat.DataPointer, length);
+        }
+        finally
+        {
+            bitmap.UnlockBits(data);
+        }
+
+        return mat;
+    }
+
+    /// <summary>
+    /// Безопасная конвертация Mat → Bitmap через промежуточный буфер
+    /// </summary>
+    private static Bitmap MatToBitmap(Mat mat)
+    {
+        var colorMat = new Mat();
+        if (mat.NumberOfChannels == 1)
+            CvInvoke.CvtColor(mat, colorMat, ColorConversion.Gray2Bgr);
+        else
+            mat.CopyTo(colorMat);
+
+        var bmp = new Bitmap(colorMat.Width, colorMat.Height, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
+
+        var data = bmp.LockBits(
+            new Rectangle(0, 0, bmp.Width, bmp.Height),
+            System.Drawing.Imaging.ImageLockMode.WriteOnly,
+            System.Drawing.Imaging.PixelFormat.Format24bppRgb);
+
+        try
+        {
+            int length = Math.Abs(data.Stride) * colorMat.Height;
+            byte[] buffer = new byte[length];
+            Marshal.Copy(colorMat.DataPointer, buffer, 0, length);
+            Marshal.Copy(buffer, 0, data.Scan0, length);
+        }
+        finally
+        {
+            bmp.UnlockBits(data);
+            colorMat.Dispose();
+        }
+
+        return bmp;
+    }
+
+    public void Dispose()
+    {
+        _cascade?.Dispose();
+        _recognizer?.Dispose();
+    }
+}