//private void button1_Click(object sender, EventArgs e)
//{
// this.Dispose();
//}
public void Go(TFaceRecord SearchFace)
{
Image img = SearchFace.image.ToCLRImage();
pictureBox1.Image = img;
//pictureBox1.Height = img.Height;
//pictureBox1.Width = img.Width;
imageList1 = new ImageList();
Size size100x100 = new Size();
size100x100.Height = 100;
size100x100.Width = 100;
imageList1.ImageSize = size100x100;
imageList1.ColorDepth = ColorDepth.Depth24Bit;
listView1.OwnerDraw = false;
listView1.View = View.LargeIcon;
//listView1.Dock = DockStyle.Bottom;
listView1.LargeImageList = imageList1;
float Threshold = 0.0f;
FSDK.GetMatchingThresholdAtFAR(Server.FARValue / 100, ref Threshold);
int MatchedCount = 0;
int FaceCount = Server.FaceList.Count;
float[] Similarities = new float[FaceCount];
int[] Numbers = new int[FaceCount];
for (int i = 0; i < Server.FaceList.Count; i++)
{
float Similarity = 0.0f;
TFaceRecord CurrentFace = Server.FaceList[i];
FSDK.MatchFaces(ref SearchFace.Template, ref CurrentFace.Template, ref Similarity);
if (Similarity >= Threshold)
{
Similarities[MatchedCount] = Similarity;
Numbers[MatchedCount] = i;
++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
{
floatReverseComparer cmp = new floatReverseComparer();
Array.Sort(Similarities, Numbers, 0, MatchedCount, (IComparer <float>)cmp);
//label1.Text = "Faces Matched: " + MatchedCount.ToString();
for (int i = 0; i < MatchedCount; i++)
{
imageList1.Images.Add(Server.FaceList[Numbers[i]].faceImage.ToCLRImage());
listView1.Items.Add((Similarities[i] * 100.0f).ToString(System.Globalization.CultureInfo.InvariantCulture.NumberFormat),
Server.FaceList[Numbers[i]].ImageFileName.Split('\\')[Server.FaceList[Numbers[i]].ImageFileName.Split('\\').Length - 1] +
"\r\nSimilarity = " + (Similarities[i] * 100).ToString(), imageList1.Images.Count - 1);
}
}
this.Show();
}
private void enrollFacesToolStripMenuItem_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "JPEG (*.jpg)|*.jpg|Windows bitmap (*.bmp)|*.bmp|All files|*.*";
dlg.Multiselect = true;
if (dlg.ShowDialog() == DialogResult.OK)
{
try
{
//Assuming that faces are vertical (HandleArbitraryRotations = false) to speed up face detection
FSDK.SetFaceDetectionParameters(false, true, 384);
FSDK.SetFaceDetectionThreshold((int)FaceDetectionThreshold);
foreach (string fn in dlg.FileNames)
{
string name = Path.GetFileNameWithoutExtension(fn);
TFaceRecord fr = new TFaceRecord();
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 (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
{
add(name + " face enroll failed.\nTry to lower the Minimal Face Quality parameter in the Options dialog box.");
}
}
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.");
}
FaceList.Add(fr);
FaceName.Add(name);
imageList1.Images.Add(fr.faceImage.ToCLRImage());
listView1.Items.Add((imageList1.Images.Count - 1).ToString(), name, /**fn.Split('\\')[fn.Split('\\').Length - 1],*/ imageList1.Images.Count - 1);
add(name + " enrolled");
listView1.SelectedIndices.Clear();
listView1.SelectedIndices.Add(listView1.Items.Count - 1);
}
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message.ToString(), "Exception");
}
}
}
private void matchFaceToolStripMenuItem_Click(object sender, EventArgs e)
{
if (FaceList.Count == 0)
{
MessageBox.Show("Please enroll faces first", "Error");
}
else
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "JPEG (*.jpg)|*.jpg|Windows bitmap (*.bmp)|*.bmp|All files|*.*";
if (dlg.ShowDialog() == DialogResult.OK)
{
try
{
string fn = dlg.FileNames[0];
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)
{
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)));
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
}
}
Results frmResults = new Results();
frmResults.Go(fr);
}
catch (Exception ex)
{
MessageBox.Show("Can't open image(s) with error: " + ex.Message.ToString(), "Error");
}
}
}
}
private void handleClients(object threadId)
{
int clientId = (int)threadId;
TcpClient tcpClient = tcpClients[clientId];
string remoteEndPoint = tcpClient.Client.RemoteEndPoint.ToString();
string clientIp = remoteEndPoint.Substring(0, remoteEndPoint.IndexOf(":"));
string clientPort = remoteEndPoint.Substring(remoteEndPoint.IndexOf(":") + 1);
add("Client " + remoteEndPoint + " connected");
//Client client = new Client("Client " + clientIp + " @ " + clientPort);
//client = new Client("Client " + clientIp + " @ " + clientPort);
// this.BeginInvoke((Action)(() => client.Show()));
NetworkStream stream = tcpClient.GetStream();
string clientData = string.Empty;
Byte[] bytes = new Byte[256];
int i;
bool init = false;
try
{
while ((i = stream.Read(bytes, 0, bytes.Length)) != 0)
{
if (!init)
{
clientData += Encoding.ASCII.GetString(bytes, 0, i);
}
if (clientData.Contains("<EOF>") && !init)
{
init = true;
string result = clientData.Substring(0, clientData.IndexOf("<EOF>"));
clientData = string.Empty;
byte[] imageBytes = Convert.FromBase64String(result);
MemoryStream ms = new MemoryStream(imageBytes, 0, imageBytes.Length);
ms.Position = 0;
Image img = Image.FromStream(ms);
//if (client == null || client.IsDisposed)
//{
// client = new Client("Client " + clientIp + " @ " + clientPort);
// this.BeginInvoke((Action)(() => client.Show()));
//}
//this.BeginInvoke((Action)(() => client.label1.Visible = false));
//this.BeginInvoke((Action)(() => client.pictureBox1.Image = img));
if (FaceList.Count == 0)
{
add("Please enroll faces first");
init = false;
}
else
{
TFaceRecord fr = new TFaceRecord();
fr.FacePosition = new FSDK.TFacePosition();
fr.FacialFeatures = new FSDK.TPoint[FSDK.FSDK_FACIAL_FEATURE_COUNT];
fr.Template = new byte[FSDK.TemplateSize];
fr.image = new FSDK.CImage(img);
//img.Dispose();
fr.FacePosition = fr.image.DetectFace();
if (0 == fr.FacePosition.w)
{
add("No faces found. Try to lower the Minimal Face Quality parameter in the Options dialog box.");
init = false;
}
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
{
add("Detecting eyes failed.");
init = false;
}
if (eyesDetected)
{
fr.Template = fr.image.GetFaceTemplateInRegion(ref fr.FacePosition); // get template with higher precision
float Threshold = 0.0f;
FSDK.GetMatchingThresholdAtFAR(FARValue / 100, ref Threshold);
int MatchedCount = 0;
int FaceCount = FaceList.Count;
float[] Similarities = new float[FaceCount];
for (int x = 0; x < FaceList.Count; x++)
{
float Similarity = 0.0f;
TFaceRecord CurrentFace = FaceList[x];
FSDK.MatchFaces(ref fr.Template, ref CurrentFace.Template, ref Similarity);
if (Similarity >= Threshold)
{
Similarities[MatchedCount] = Similarity;
++MatchedCount;
}
}
if (MatchedCount != 0)
{
float finalResult = Similarities.Max();
if (finalResult * 100 < 95.0)
{
SendBackToClient(tcpClient, "R=NONE;");
add("No morethan 95.0% matches found in database faces");
//init = false;
}
else
{
int index = 0;
for (int x = 0; x < MatchedCount; x++)
{
if (Similarities[x] == finalResult)
{
index = x;
}
}
SendBackToClient(tcpClient, "R=" + FaceName[index]);
//init = false;
}
}
else
{
SendBackToClient(tcpClient, "R=NONE;");
add("No matches found. You can try to increase the FAR parameter in the Options dialog box.");
//init = false;
}
}
else
{
add("No eyes detected in photos.");
init = false;
}
}
}
}
else
{
if (clientData.Contains(";"))
{
string result = clientData.Substring(0, clientData.IndexOf(";"));
if (result == "OK")
{
init = false;
}
}
}
}
tcpClients.Remove(clientId);
tcpClient.Client.Shutdown(SocketShutdown.Both);
tcpClient.Client.Close();
tcpClient.Client.Dispose();
int idx = 0;
for (int x = 0; x < threadClients.Count(); x++)
{
if (threadClients[x].ManagedThreadId == clientId)
{
idx = x;
}
}
threadClients.RemoveAt(idx);
add("Client " + remoteEndPoint + " disconnected");
//if (client.Visible)
//{
// this.BeginInvoke((Action)(() => client.Close()));
//}
}
catch
{
add("Client " + remoteEndPoint + " error");
}
}
