internal void Add(FaceFaceSimilarUnit faceRespondent)
{
faceRespondent.Size = new System.Drawing.Size(155, 179);
faceRespondent.Width = this.Width - 10;
faceRespondent.Height = 50;
flowLayoutPanel1.Controls.Add(faceRespondent);
}
private async Task NhanDien()
{
gFaceDetection.Text = "Face Detection ( FD ) đang nhận diện";
flowLayoutPanel2.Controls.Clear();
Confidence = Properties.Settings.Default.Confidence;
if (FacePhoto.Image == null)
{
OpenFileDialogToPickImage();
}
if (FacePhoto.Image == null)
{
gFaceDetection.Text = "Face Detection ( FD )";
return;
}
try
{
var ms = new MemoryStream();
FacePhoto.Image.Save(ms, ImageFormat.Png);
var m = Serializer.Compress(ms);
// If you're going to read from the stream, you may need to reset the position to the start
ms.Position = 0;
var watch = System.Diagnostics.Stopwatch.StartNew();
// the code that you want to measure comes here
WriteLog(string.Format("Resquest DetectAsync"));
var faces = await faceServiceClient.DetectAsync(m);
watch.Stop();
WriteLog(string.Format("Response: Success. Detected {0} face(s) in {1} seconds", faces.Length, watch.Elapsed.TotalSeconds));
var personSimilarResultFace = new PersonSimilarResults();
flowLayoutPanel2.Controls.Clear();
foreach (var f in faces)
{
var faceId = f.FaceId;
WriteLog(String.Format("Request: Finding similar faces in Face Match Mode for face {0}", faceId));
foreach (DataRow row in dtFaceList.Rows)
{
try
{
var personSimilarResults = await faceServiceClient.FindSimilarAsync(faceId, row.Item("faceListId"), FindSimilarMatchMode.matchFace, 4);
foreach (var personSimilarResult in personSimilarResults)
{
if (personSimilarResult.Confidence >= Confidence)
{
personSimilarResultFace.Add(personSimilarResult.PersistedFaceId, personSimilarResult.Confidence);
}
}
WriteLog(String.Format("Response: Success FindSimilarAsync {0}- {1}", faceId, row.Item("faceListId")));
}
catch (FaceAPIException ex)
{
WriteLog(String.Format("Error FindSimilarAsync {0}- {1}:{2}", faceId, row.Item("faceListId"), ex.ErrorMessage));
}
}
}
if (personSimilarResultFace.Data.Count == 0)
{
WriteLog(String.Format("Không tìm thấy khuôn mặt giống khuôn mặt đáp viên {0}", txtName.Text));
MessageBox.Show(String.Format("Không tìm thấy khuôn mặt giống khuôn mặt đáp viên {0}", txtName.Text));
gFaceDetection.Text = "Face Detection ( FD )";
return;
}
else
{
//MessageBox.Show(
}
var items = from pair in personSimilarResultFace.Data
orderby pair.Value ascending
select pair;
var query = new DataAccess.RequestCollection();
string ids = "";
foreach (KeyValuePair <string, double> item in items)
{
ids += item.Key + ",";
}
query = DataAccess.DataQuery.Create("KadenceDB", "ws_FaceList_List", new
{
FaceIDs = ids
});
var ds = this.Services.Execute(query);
if (ds == null)
{
MessageBox.Show(Services.LastError);
return;
}
foreach (DataRow row in ds.FirstTable().Rows)
{
var faceRespondent = new FaceFaceSimilarUnit();
faceRespondent.Conf = personSimilarResultFace.Data[row.Item("FaceID")];
faceRespondent.ProjectNameFullName = row.Item("ProjectNo") + "_" + row.Item("FullName");
byte[] byteImage = Convert.FromBase64String(row.Item("Image"));
Image imageProfile;
using (MemoryStream memorysteam = new MemoryStream(byteImage))
{
imageProfile = Image.FromStream(memorysteam);
}
faceRespondent.ImageRespondent = imageProfile;
faceRespondent.Height = flowLayoutPanel2.Height - 10;
faceRespondent.Width = faceRespondent.Height;
flowLayoutPanel2.Controls.Add(faceRespondent);
}
UI.ShowError(String.Format("Đã tìm thấy {1} khuôn mặt giống khuôn mặt đáp viên {0}", txtName.Text, ds.FirstTable().Rows.Count));
}
catch (FaceAPIException ex)
{
MessageBox.Show(ex.Message);
gFaceDetection.Text = "Face Detection ( FD )";
return;
}
gFaceDetection.Text = "Face Detection ( FD )";
}