public bool TrainRecognizer(Image <Gray, byte>[] faceImages, int[] faceLabels) { _faceRecognizer.Train(faceImages, faceLabels); _faceRecognizer.Save(_recognizerFilePath); return(true); }
public void TrainRecognizer() { var allFaces = new FRService().All(); if (allFaces.Count > 0) { var faceImages = new Image <Gray, byte> [allFaces.Count]; var faceLabels = new int[allFaces.Count]; for (int i = 0; i < allFaces.Count; i++) { Stream stream = new MemoryStream(); stream.Write(allFaces[i].Face, 0, allFaces[i].Face.Length); var faceImage = new Image <Gray, byte>(new Bitmap(stream)); faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic); faceLabels[i] = (int)(allFaces[i].Id); } // can also try :LBPHFaceRecognizer var fr = new EigenFaceRecognizer(); fr.Train(faceImages, faceLabels); var retPath = ConfigurationManager.AppSettings["trainedPath"]; var savedFile = retPath + $"{DateTime.Now.ToString("yyyy-MM-dd HH-mm-ss")}_frModel"; fr.Save(savedFile); MessageBox.Show($"Model trained successfully. saved into {savedFile}"); } else { MessageBox.Show("No face found in db"); } }
public void TrainRecognizer() { // FaceRecognizer _faceRecognizer = new LBPHFaceRecognizer(1, 8, 8, 8, double.PositiveInfinity); FaceRecognizer _faceRecognizer = new EigenFaceRecognizer(80, double.PositiveInfinity); DataStoreAccess _datastoreaccess = new DataStoreAccess(); var allFaces = _datastoreaccess.callfaces(); // MessageBox.Show(allFaces.Count.ToString()); if (allFaces != null) { var faceImages = new Image <Gray, byte> [allFaces.Count]; var faceLabels = new int[allFaces.Count]; for (int i = 0; i < allFaces.Count; i++) { Stream stream = new MemoryStream(); stream.Write(allFaces[i].Image, 0, allFaces[i].Image.Length); var faceImage = new Image <Gray, byte>(new Bitmap(stream)); // faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic); faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic); faceLabels[i] = Convert.ToInt32(allFaces[i].Label); } string filepath = Application.StartupPath + "/traineddata"; // var filePath = Application.StartupPath + String.Format("/{0}.bmp", face); _faceRecognizer.Train(faceImages, faceLabels); _faceRecognizer.Save(filepath); // MessageBox.Show(allFaces[0].Label); } else { //MessageBox.Show("adasfsf"); } }
/// <summary> /// Trains recognizer on fetched face-label pairs and saves the trained data to recognition variables /// </summary> public void TrainRecognizer() { recog = new EigenFaceRecognizer(); recog.Train <Gray, byte>(imgs.ToArray(), ints); MessageBox.Show("aww yes"); recog.Save("trainingset/test.frl"); MessageBox.Show("tuwid na daan o"); }
public bool Train(byte[][] faces, int[] labels) { Image <Gray, byte>[] resizedFaces = new Image <Gray, byte> [faces.Length]; for (int i = 0; i < faces.Length; i++) { resizedFaces[i] = StreamConverter.ByteToImageResize(faces[i]).Clone(); } _faceRecognizer.Train(resizedFaces, labels); _faceRecognizer.Save(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile) + "\\Documents\\test-recognizer.yaml"); return(true); }
public bool TrainRecognizer() { var allFaces = dbAccess.CallFaces("ALL_USERS"); if (allFaces != null) { var faceImages = new Image <Gray, byte> [allFaces.Count]; var faceLabels = new int[allFaces.Count]; for (int i = 0; i < allFaces.Count; i++) { Stream stream = new MemoryStream(); stream.Write(allFaces[i].Image, 0, allFaces[i].Image.Length); var faceImage = new Image <Gray, byte>(new Bitmap(stream)); faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic); faceLabels[i] = allFaces[i].UserId; } faceRecognizer.Train(faceImages, faceLabels); faceRecognizer.Save(recognizerFilePath); } return(true); }
public void TrainRecognizer() { var allFaces = _dataStoreAccess.CallFaces("ALL_USERS"); if (allFaces != null) { var faceImages = new Image <Gray, byte> [allFaces.Count]; var faceLabels = new int[allFaces.Count]; for (int i = 0; i < allFaces.Count; i++) { Stream stream = new MemoryStream(); stream.Write(allFaces[i].Image, 0, allFaces[i].Image.Length); var faceImage = new Image <Gray, byte>(new Bitmap(stream)); faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic); faceLabels[i] = allFaces[i].UserId; } _faceRecognizer.Train(faceImages, faceLabels); _faceRecognizer.Save(@"C:\Users\Dom\Documents\Visual Studio 2015\Projects\Emgu\Emgu\Faces\recognizerFilePath\file.yaml"); } }