private async Task LoadDatabaseFaces()
{
//await Task.Run(() =>
// {
using (var db = new Facial_Recognition_Library.Data.LiveEduFaceModel())
{
loDatabaseFaces = await db.MyFaces.ToListAsync();
}
// }).ContinueWith((task, o) =>
// {
SyncContext.Post(new SendOrPostCallback(o =>
{
UpdateMyFacesBindingSource();
}), null);
// }, null, TaskScheduler.FromCurrentSynchronizationContext());
}
private async Task LoadDatabasePersonGroups()
{
//await Task.Run(async () =>
//{
using (var db = new Facial_Recognition_Library.Data.LiveEduFaceModel())
{
loDabasePersonGroups = await db.MyPersonGroups.ToListAsync();
}
//}).ContinueWith((task, o) =>
//{
SyncContext.Post(new SendOrPostCallback(o =>
{
DatabasePersonGroupBindingSource.DataSource = loDabasePersonGroups;
DatabasePersonGroupBindingSource.ResetBindings(false);
}), null);
//}, null, TaskScheduler.FromCurrentSynchronizationContext());
}
/// <summary>
/// Process the image using the CognitiveServiceAPI Class: (Direct HTTP client interface manamgent
/// </summary>
/// <param name="MyCurrentImage"></param>
/// <param name="saveLocal"></param>
private void ProcessImage(Image MyCurrentImage, bool saveLocal = false)
{
if (saveLocal)
{
MyCurrentImage.Save($@"W:\Example Pictures\MyImage{DateTime.Now.ToFileTime()}.png", ImageFormat.Png);
}
//ImageType.Text = Enum.GetName(typeof(System.Drawing.Imaging.ImageFormat), MyCurrentImage.RawFormat);
using (MemoryStream ms = new MemoryStream())
{
MyCurrentImage.Save(ms, System.Drawing.Imaging.ImageFormat.Png);
Facial_Recognition_Library.API.CognitiveServiceAPI serviceApi = new CognitiveServiceAPI();
//Settings
serviceApi.ThrowErrorToParent = true;
//There are several ways of doing this, and all have direct relationship to how much control you want to have.
//Thus, this is the simplest and most convient method where in you are given just what you need to complete the task.
//using (HttpClient hcClient = new HttpClient())
HttpClient hcClient = new HttpClient();
List <FaceDetectFaceResult> FaceDetectResult = new List <FaceDetectFaceResult>();
try
{
FaceDetectResult = serviceApi.GetFaceDetectResult(ms, ref hcClient);
}
catch (Exception e)
{
MessageBox.Show(e.Message);
}
try
{
if (FaceDetectResult?.Count > 0)
{
foreach (var face in FaceDetectResult)
{
//Do Something
MyFace newface = new MyFace
{
FaceID = Guid.Parse(face.FaceId),
FaceAttributes = face.getJsonFaceAttibutes(),
FaceLandmarks = face.getJsonFaceLandmarks(),
FaceRectangle = face.getJsonFaceRectangle(),
ImageBytes = ms.ToArray()
};
using (var db = new Facial_Recognition_Library.Data.LiveEduFaceModel())
{
db.MyFaces.Add(newface);
db.SaveChanges();
foreach (var faceItem in db.MyFaces)
{
System.Diagnostics.Debug.WriteLine($"{faceItem.FaceID.ToString()} - {faceItem.FaceRectangle}");
}
}
}
}
}
catch (Exception e)
{
//MessageBox.Show(e.Message);
//throw e;
}
}
}