private void loadSubject(string fileName)
{
FSDK.SetFaceDetectionParameters(false, true, 384);
FSDK.SetFaceDetectionThreshold((int)FaceDetectionThreshold);
TFaceRecord fr = new TFaceRecord();
fr.ImageFileName = fileName;
fr.FacePosition = new FSDK.TFacePosition();
fr.FacialFeatures = new FSDK.TPoint[2];
fr.Template = new byte[FSDK.TemplateSize];
fr.image = new FSDK.CImage(fileName);
fr.FacePosition = fr.image.DetectFace();
if (0 == fr.FacePosition.w)
{
if (fileName.Length <= 1)
{
MessageBox.Show("No faces found. Try to lower the Minimal Face Quality parameter in the Options dialog box.", "Enrollment error");
}
}
else
{
fr.faceImage = fr.image.CopyRect((int)(fr.FacePosition.xc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.xc + Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc + Math.Round(fr.FacePosition.w * 0.5)));
try
{
fr.FacialFeatures = fr.image.DetectEyesInRegion(ref fr.FacePosition);
}
catch (Exception ex2)
{
MessageBox.Show(ex2.Message, "Error detecting eyes.");
}
try
{
fr.Template = fr.image.GetFaceTemplateInRegion(ref fr.FacePosition); // get template with higher precision
}
catch (Exception ex2)
{
MessageBox.Show(ex2.Message, "Error retrieving face template.");
}
FaceSearchList.Add(fr);
FaceSearchImageList.Images.Add(fr.faceImage.ToCLRImage());
listView1.Items.Add((FaceSearchImageList.Images.Count - 1).ToString(), fileName.Split('\\')[fileName.Split('\\').Length - 1], FaceSearchImageList.Images.Count - 1);
using (Image img = fr.image.ToCLRImage())
{
pictureBox1.Image = img;
pictureBox1.Refresh();
}
}
pictureBox1.Image = null;
}
public void SaveSubject(TFaceRecord fr, string conString)
{
using (conn = new SqlCeConnection(conString))
{
conn.Open();
TFaceRecord tfr = new TFaceRecord();
tfr = fr;
Image img = null;
Image img_face = null;
MemoryStream strm = new MemoryStream();
MemoryStream strm_face = new MemoryStream();
img = tfr.image.ToCLRImage();
img_face = tfr.faceImage.ToCLRImage();
img.Save(strm, System.Drawing.Imaging.ImageFormat.Jpeg);
img_face.Save(strm_face, System.Drawing.Imaging.ImageFormat.Jpeg);
byte[] img_array = new byte[strm.Length];
byte[] img_face_array = new byte[strm_face.Length];
strm.Position = 0;
strm.Read(img_array, 0, img_array.Length);
strm_face.Position = 0;
strm_face.Read(img_face_array, 0, img_face_array.Length);
using (cmd = new SqlCeCommand("insert into FaceList (ImageFileName,SubjectName,FacePositionXc,FacePositionYc" +
",FacePositionW,FacePositionAngle,Eye1X,Eye1Y,Eye2X,Eye2Y,Template,Image,FaceImage) values " +
"(@IFName,@SName,@FPXc,@FPYc,@FPW,@FPA,@Eye1X,@Eye1Y,@Eye2X,@Eye2Y,@Template,@Image,@FaceImage)", conn))
{
cmd.Parameters.AddWithValue(@"IFName", tfr.ImageFileName);
cmd.Parameters.AddWithValue(@"SName", tfr.suspectName);
cmd.Parameters.AddWithValue(@"FPXc", tfr.FacePosition.xc);
cmd.Parameters.AddWithValue(@"FPYc", tfr.FacePosition.yc);
cmd.Parameters.AddWithValue(@"FPW", tfr.FacePosition.w);
cmd.Parameters.AddWithValue(@"FPA", tfr.FacePosition.angle);
cmd.Parameters.AddWithValue(@"Eye1X", tfr.FacialFeatures[0].x);
cmd.Parameters.AddWithValue(@"Eye1Y", tfr.FacialFeatures[0].y);
cmd.Parameters.AddWithValue(@"Eye2X", tfr.FacialFeatures[1].x);
cmd.Parameters.AddWithValue(@"Eye2Y", tfr.FacialFeatures[1].y);
cmd.Parameters.AddWithValue(@"Template", tfr.Template);
cmd.Parameters.AddWithValue(@"Image", img_array);
cmd.Parameters.AddWithValue(@"FaceImage", img_face_array);
cmd.ExecuteNonQuery();
}
conn.Close();
}
MessageBox.Show(" Subject added successfully !!");
}
private void button2_Click(object sender, EventArgs e)
{
if (textBox1.Text.Length == 0)
{
MessageBox.Show("Please Enter the Subject Name");
textBox1.Focus();
}
else
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "JPEG (*.jpg)|*.jpg|Windows bitmap (*.bmp)|*.bmp|All files|*.*";
dlg.Multiselect = true;
if (dlg.ShowDialog() == DialogResult.OK)
{
try
{
FSDK.SetFaceDetectionParameters(false, true, 384);
FSDK.SetFaceDetectionThreshold((int)FaceDetectionThreshold);
foreach (string fn in dlg.FileNames)
{
FaceList.Clear();
TFaceRecord fr = new TFaceRecord();
fr.ImageFileName = fn;
fr.suspectName = textBox1.Text.Trim();
fr.FacePosition = new FSDK.TFacePosition();
fr.FacialFeatures = new FSDK.TPoint[2];
fr.Template = new byte[FSDK.TemplateSize];
fr.image = new FSDK.CImage(fn);
fr.FacePosition = fr.image.DetectFace();
if (0 == fr.FacePosition.w)
{
if (dlg.FileNames.Length <= 1)
{
MessageBox.Show("No faces found. Try to lower the Minimal Face Quality parameter in the Options dialog box.", "Enrollment error");
}
else
{
}
}
else
{
fr.faceImage = fr.image.CopyRect((int)(fr.FacePosition.xc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.xc + Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc + Math.Round(fr.FacePosition.w * 0.5)));
fr.FacialFeatures = fr.image.DetectEyesInRegion(ref fr.FacePosition);
fr.Template = fr.image.GetFaceTemplateInRegion(ref fr.FacePosition); // get template with higher precision
FaceList.Add(fr);
imageList1.Images.Add(fr.faceImage.ToCLRImage());
listView1.Items.Add((imageList1.Images.Count - 1).ToString(), fn.Split('\\')[fn.Split('\\').Length - 1], imageList1.Images.Count - 1);
}
listView1.SelectedIndices.Clear();
// listView1.SelectedIndices.Add(listView1.Items.Count - 1);
db.SaveSubject(fr, Constants.conString);
}
listView1.Refresh();
}
catch (Exception ex)
{
MessageBox.Show("Can't open image(s) with error: " + ex.Message.ToString(), "Error");
}
}
}
}
private void matchesFace()
{
if (dataGridView1.Rows.Count > 0)
{
this.dataGridView1.Invoke(new MethodInvoker(() =>
this.dataGridView1.Rows.Clear()));
this.dataGridView1.Invoke(new MethodInvoker(() =>
this.dataGridView1.Refresh()));
}
for (int i = 0; i < SubjectList.Count; i++)
{
if (SubjectList.Count >= 1)
{
FSDK.GetMatchingThresholdAtFAR(FARValue / 100, ref FaceDetectionThreshold);
TFaceRecord DbSubject = SubjectList[i];
int MatchedCount = 0;
int FaceCount = FaceSearchList.Count;
float[] Similarities = new float[FaceCount];
float[] Smile = new float[FaceCount];
float[] EyesOpen = new float[FaceCount];
float[] Male = new float[FaceCount];
float[] Female = new float[FaceCount];
int[] Numbers = new int[FaceCount];
for (int k = 0; k < FaceSearchList.Count; k++)
{
float Similarity = 0.0f;
float ConfidenceSmile = 0.0f;
float ConfidenceEyesOpen = 0.0f;
float ConfidenceMale = 0.0f;
float ConfidenceFemale = 0.0f;
TFaceRecord SearchFace = FaceSearchList[k];
FSDK.MatchFaces(ref DbSubject.Template, ref SearchFace.Template, ref Similarity);
long MaxSizeInBytes = 100000;
string ExpressionValues = "";
string GenderValues = "";
FSDK.CImage CurrentImage = SearchFace.image;
FSDK.TPoint[] Facefeatures = null;
FSDK.DetectFacialFeatures(SearchFace.faceImage.ImageHandle, out Facefeatures);
if (Facefeatures != null)
{
FSDK.DetectFacialAttributeUsingFeatures(SearchFace.faceImage.ImageHandle, ref Facefeatures, "Expression", out ExpressionValues, MaxSizeInBytes);
FSDK.GetValueConfidence(ExpressionValues, "Smile", ref ConfidenceSmile);
FSDK.GetValueConfidence(ExpressionValues, "EyesOpen", ref ConfidenceEyesOpen);
FSDK.DetectFacialAttributeUsingFeatures(SearchFace.faceImage.ImageHandle, ref Facefeatures, "Gender", out GenderValues, MaxSizeInBytes);
FSDK.GetValueConfidence(GenderValues, "Male", ref ConfidenceMale);
FSDK.GetValueConfidence(GenderValues, "Female", ref ConfidenceFemale);
if (Similarity >= FaceDetectionThreshold)
{
Similarities[MatchedCount] = Similarity;
Smile[MatchedCount] = ConfidenceSmile;
EyesOpen[MatchedCount] = ConfidenceEyesOpen;
Male[MatchedCount] = ConfidenceMale;
Female[MatchedCount] = ConfidenceFemale;
Numbers[MatchedCount] = k;
++MatchedCount;
}
}
else
{
if (Similarity >= FaceDetectionThreshold)
{
Similarities[MatchedCount] = Similarity;
Smile[MatchedCount] = 0;
EyesOpen[MatchedCount] = 0;
Male[MatchedCount] = 0;
Female[MatchedCount] = 0;
Numbers[MatchedCount] = k;
++MatchedCount;
}
}
}
if (MatchedCount == 0)
{
MessageBox.Show("No matches found. You can try to increase the FAR parameter in the Options dialog box.", "No matches");
}
else
{
for (int j = 0; j < MatchedCount; j++)
{
if ((Similarities[j] * 100.0f) >= 30.0f)
{
resultImagelist.Images.Add(FaceSearchList[j].faceImage.ToCLRImage());
Image img1 = FaceSearchList[Numbers[j]].faceImage.ToCLRImage();
img1 = (Image)(new Bitmap(img1, new Size(100, 100)));
Image img2 = Image.FromFile(SubjectList[i].ImageFileName);
img2 = (Image)(new Bitmap(img2, new Size(100, 100)));
string feature = DbSubject.suspectName + " \r\n\nSimilarity = " + (Similarities[j] * 100).ToString() + " Smile:" + Smile[j] * 100 + " Eyes Open: " + EyesOpen[j] * 100
+ " Male:" + Male[j] * 100 + " Female: " + Female[j] * 100;
Object[] row = new Object[] { img1, img2, feature };
this.dataGridView1.Invoke(new MethodInvoker(() =>
this.dataGridView1.Rows.Add(row)));
}
}
}
}
}
}
private void loadVideo(string fileName)
{
if (FaceSearchList.Count > 0)
{
FaceSearchList.Clear();
FaceSearchImageList.Images.Clear();
listView1.Clear();
}
string username = Environment.UserName;
string framePath = @"C:\Users\" + username + @"\Desktop\Frames";
if (!Directory.Exists(framePath))
{
Directory.CreateDirectory(framePath);
}
FFMpegConverter ffmpeg = new FFMpegConverter();
TFaceRecord fr = new TFaceRecord();
for (int i = 0; i < Duration(fileName); i++)
{
string fn = framePath + @"\" + i + ".jpeg";
ffmpeg.GetVideoThumbnail(fileName.ToString(), fn, i);
fr.ImageFileName = fn;
fr.FacePosition = new FSDK.TFacePosition();
fr.FacialFeatures = new FSDK.TPoint[2];
fr.Template = new byte[FSDK.TemplateSize];
fr.image = new FSDK.CImage(fn);
fr.FacePosition = fr.image.DetectFace();
if (0 == fr.FacePosition.w)
{
if (fileName.Length <= 1)
{
}
}
else
{
fr.faceImage = fr.image.CopyRect((int)(fr.FacePosition.xc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.xc + Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc + Math.Round(fr.FacePosition.w * 0.5)));
try
{
fr.FacialFeatures = fr.image.DetectEyesInRegion(ref fr.FacePosition);
}
catch (Exception ex2)
{
MessageBox.Show(ex2.Message, "Error detecting eyes.");
}
try
{
fr.Template = fr.image.GetFaceTemplateInRegion(ref fr.FacePosition); // get template with higher precision
}
catch (Exception ex2)
{
MessageBox.Show(ex2.Message, "Error retrieving face template.");
}
FaceSearchList.Add(fr);
FaceSearchImageList.Images.Add(fr.faceImage.ToCLRImage());
listView1.Items.Add((FaceSearchImageList.Images.Count - 1).ToString(), fn.Split('\\')[fn.Split('\\').Length - 1], FaceSearchImageList.Images.Count - 1);
using (Image img = fr.image.ToCLRImage())
{
pictureBox1.Image = img;
pictureBox1.Refresh();
}
listView1.Refresh();
}
}
pictureBox1.Image = null;
}
private void loadSubjectFolder(string folderName)
{
FaceSearchList.Clear();
string DirectoryUrl = folderName;
DirectoryInfo di = new DirectoryInfo(DirectoryUrl);
FileInfo[] Images = di.GetFiles("*.jpg", SearchOption.AllDirectories);
for (int i = 0; i < Images.Length; i++)
{
string fn = Images[i].FullName;
TFaceRecord fr = new TFaceRecord();
fr.ImageFileName = fn;
fr.FacePosition = new FSDK.TFacePosition();
fr.FacialFeatures = new FSDK.TPoint[FSDK.FSDK_FACIAL_FEATURE_COUNT];
fr.Template = new byte[FSDK.TemplateSize];
try
{
fr.image = new FSDK.CImage(fn);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Error loading file");
}
fr.FacePosition = fr.image.DetectFace();
if (0 == fr.FacePosition.w)
{
}
else
{
fr.faceImage = fr.image.CopyRect((int)(fr.FacePosition.xc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc - Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.xc + Math.Round(fr.FacePosition.w * 0.5)), (int)(fr.FacePosition.yc + Math.Round(fr.FacePosition.w * 0.5)));
bool eyesDetected = false;
try
{
fr.FacialFeatures = fr.image.DetectEyesInRegion(ref fr.FacePosition);
eyesDetected = true;
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Error detecting eyes.");
}
if (eyesDetected)
{
fr.Template = fr.image.GetFaceTemplateInRegion(ref fr.FacePosition); // get template with higher precision
}
FaceSearchList.Add(fr);
FaceSearchImageList.Images.Add(fr.faceImage.ToCLRImage());
listView1.Items.Add((FaceSearchImageList.Images.Count - 1).ToString(), folderName.Split('\\')[folderName.Split('\\').Length - 1], FaceSearchImageList.Images.Count - 1);
using (Image img = fr.image.ToCLRImage())
{
pictureBox1.Image = img;
pictureBox1.Refresh();
listView1.Refresh();
}
}
}
pictureBox1.Image = null;
}
public List <TFaceRecord> LoadSubject(string conString)
{
InitializeSDK();
SubjectImageList = new ImageList();
List <TFaceRecord> SubjectList = new List <TFaceRecord>();
try
{
using (conn = new SqlCeConnection(conString))
{
conn.Open();
using (cmd = new SqlCeCommand(@"Select * From FaceList", conn))
{
SqlCeDataReader reader = cmd.ExecuteReader();
while (reader.Read())
{
TFaceRecord fr = new TFaceRecord();
fr.ImageFileName = reader.GetString(0);
fr.suspectName = reader.GetString(1);
fr.FacePosition = new FSDK.TFacePosition();
fr.FacePosition.xc = reader.GetInt32(2);
fr.FacePosition.yc = reader.GetInt32(3);
fr.FacePosition.w = reader.GetInt32(4);
fr.FacePosition.angle = reader.GetFloat(5);
fr.FacialFeatures = new FSDK.TPoint[2];
fr.FacialFeatures[0] = new FSDK.TPoint();
fr.FacialFeatures[0].x = reader.GetInt32(6);
fr.FacialFeatures[0].y = reader.GetInt32(7);
fr.FacialFeatures[1] = new FSDK.TPoint();
fr.FacialFeatures[1].x = reader.GetInt32(8);
fr.FacialFeatures[1].y = reader.GetInt32(9);
fr.Template = new byte[FSDK.TemplateSize];
reader.GetBytes(10, 0, fr.Template, 0, FSDK.TemplateSize);
Image img = Image.FromStream(new System.IO.MemoryStream(reader.GetSqlBinary(11).Value));
Image img_face = Image.FromStream(new System.IO.MemoryStream(reader.GetSqlBinary(12).Value));
fr.image = new FSDK.CImage(img);
fr.faceImage = new FSDK.CImage(img_face);
SubjectList.Add(fr);
SubjectImageList.Images.Add(fr.faceImage.ToCLRImage());
img.Dispose();
img_face.Dispose();
}
}
conn.Close();
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Exception on loading database");
}
return(SubjectList);
}
