private async void Add_Person_Button_Click(object sender, RoutedEventArgs e)
{
string popupmessage = "";
var db = new SQLiteConnection(_dbPath);
db.CreateTable <Person>();
var maximumPrimaryKey = db.Table <Person>().OrderByDescending(m => m.Id).FirstOrDefault();
Person person = new Person()
{
Id = (maximumPrimaryKey == null ? 1 : maximumPrimaryKey.Id + 1),
LastName = LastName_Entry.Text,
FirstName = FirstName_Entry.Text,
ImagePath = imagepath,
DateRegistered = DateTime.UtcNow,
ImageName = imageName
};
popupmessage = person.LastName + " " + person.FirstName + " will be saved";
//PopUp
MessageDialog showDialog = new MessageDialog(popupmessage);
showDialog.Commands.Add(new UICommand("Yes")
{
Id = 0
});
showDialog.Commands.Add(new UICommand("No")
{
Id = 1
});
showDialog.DefaultCommandIndex = 0;
showDialog.CancelCommandIndex = 1;
var result = await showDialog.ShowAsync();
if ((int)result.Id == 0)
{
db.Insert(person);
allitem = "The user " + LastName_Entry.Text + " " + FirstName_Entry.Text + ", has been added to the system. You can now sign " + FirstName_Entry.Text + " in for today, or you can go to the people page, to see all users.";
readText(allitem);
var fileinfo = new FileInfo(imagepath);
BlobConstructors.UploadFile(fileinfo, BlobConstructors.Blobconnectionstring, BlobConstructors.containername);
LastName_Entry.Text = " ";
FirstName_Entry.Text = " ";
User_Image.Visibility = Visibility.Collapsed;
Capture_Person_Button.Visibility = Visibility.Collapsed;
Add_Person_Button.Visibility = Visibility.Collapsed;
}
else
{
allitem = "The user " + LastName_Entry.Text + " " + FirstName_Entry.Text + ", has not been added to the system.";
readText(allitem);
}
}
private async void Detect_Person_Button_Click(object sender, RoutedEventArgs e)
{
var fileinfo = new FileInfo(imagepathHolder);
BlobConstructors.UploadFile(fileinfo, BlobConstructors.Blobconnectionstring, BlobConstructors.containername2);
IFaceClient client = CompareFaceConstructor.Authenticate(ENDPOINT, SUBSCRIPTION_KEY);
// Find Similar - find a similar face from a list of faces.
// var result = await CompareFaceConstructor.FindSimilar(client, BlobConstructors.blobBaseUrl, imageName, BlobConstructors.blobBaseUrl2, RecognitionModel.Recognition04, imageNames);
string _dbPath = Database_Connection._dbpath;
//Verify(client, IMAGE_BASE_URL, RECOGNITION_MODEL4).Wait();
//// Identify - recognize a face(s) in a person group (a person group is created in this example).
///
GetRecognisedUserViewModel Identity = new GetRecognisedUserViewModel();
try
{
Identity = await CompareFaceConstructor.IdentifyInPersonGroup(client, personDictionary, BlobConstructors.blobBaseUrl, BlobConstructors.blobBaseUrl2, imageName, RECOGNITION_MODEL4);
string Message = "";
var db = new SQLiteConnection(_dbPath);
var dz = new SQLiteConnection(_dbPath);
db.CreateTable <Models.Person>();
db.CreateTable <Models.Attendance>();
//var p = db.Table<Models.Person>().Where(m => m.ImageName == result.Result).FirstOrDefault();
int way = int.Parse(Identity.highestperson.Name);
var p = db.Table <Models.Person>().Where(m => m.Id == way).FirstOrDefault();
var Count = db.Table <Models.Attendance>().Count();
//Books_Label.Text = result.Output.ToString();
//readText(result.ToString());
if (Identity.ConfidenceLevel > 0.7)
{
Message = "Welcome back " + p.LastName + " " + p.FirstName + " , You have been logged in. Have a pleasant day!";
Books_Label.Text = Identity.Answers;
Attendance attendance = new Attendance()
{
Id = Count + 1,
FirstName = p.FirstName,
Date_Signed_In_Date_and_Time = DateTime.UtcNow,
LastName = p.LastName,
User_ID = p.Id
};
db.Insert(attendance);
readText(Message);
}
else
{
var confipercentage = Identity.ConfidenceLevel * 100;
Message = "I am not comfortable this is who i think this is. i am only " + confipercentage + " percent sure, that this is" + p.FirstName + " " + p.LastName + ".";
readText(Message);
}
}
catch
{
readText("Face not detected from Image or Server cannot be reached");
}
//// LargePersonGroup - create, then get data.
//LargePersonGroup(client, IMAGE_BASE_URL, RECOGNITION_MODEL4).Wait();
//// Group faces - automatically group similar faces.
//Group(client, IMAGE_BASE_URL, RECOGNITION_MODEL4).Wait();
}
