public TrainingImage createTrainImage(int studentId, Bitmap bitmap)
{
var fileData = new FileData()
{
Data = bitmap.bitmapToByteArr()
};
var file = new FileAttachment()
{
CreateDate = DateTime.Now,
Height = bitmap.Height,
Width = bitmap.Width,
Extension = "jpg",
Type = (int)EFileType.ImageJPG,
Name = Guid.NewGuid().ToString(),
FileData = fileData
};
var trainingImage = new TrainingImage()
{
CreatedDate = DateTime.Now,
StudentId = studentId,
FileAttachment = file
};
return(trainingImage);
}
private void UC_Loaded(object sender, RoutedEventArgs e)
{
try
{
trainingImage = new TrainingImage();
recognizer = new Recognizer(trainingImage);
labelStatus.Visibility = Visibility.Hidden;
DsDevice[] captureDevices;
// Get the set of directshow devices that are video inputs.
captureDevices = DsDevice.GetDevicesOfCat(FilterCategory.VideoInputDevice);
for (int idx = 0; idx < captureDevices.Length; idx++)
{
cbCamera.Items.Add(idx + "");
cbCamera.SelectedItem = idx + "";
}
cbCamera.Items.Add("load .avi");
timer = new DispatcherTimer();
timer.Interval = new TimeSpan(150000); // 150000 x 100 ns = 1.5 E-4 s 15 ms
//timer.Interval = 15;
timer.Tick += new EventHandler(timer_Tick);
//timer.Elapsed += new System.Timers.ElapsedEventHandler(timer_Elapsed);
timer.Start();
countdown = new DispatcherTimer();
countdown.Tick += countdown_Trick;
countdown.Interval = TimeSpan.FromSeconds(2);
countdown.Start();
}
catch { }
}
public Recognizer(TrainingImage trainingImage)
{
this.trainingImage = trainingImage;
// try
// {
Train();
// }
// catch { };
}
public List <TrainingImage> GetTrainingImages(string trainingId)
{
string resultAsString = Client.GetAsync(GetUri($"images/workout/{trainingId}")).Result.Content.ReadAsStringAsync().Result;
var jobject = JsonConvert.DeserializeObject <ProductivityTools.SportsTracker.SDK.DTO.Images.Rootobject>(resultAsString);
List <TrainingImage> result = new List <TrainingImage>();
WebClient client = new WebClient();
foreach (var sttraining in jobject.payload)
{
string imageKey = sttraining.key;
string url = $"{Address}image/scale/{imageKey}/?width=2000&height=2000&fit=true";
Stream stream = client.OpenRead(url);
//client.DownloadFile(new Uri(url), $"d:\\trash\\{imageKey}.png");
TrainingImage trainingImage = new TrainingImage(trainingId, imageKey, stream);
result.Add(trainingImage);
}
return(result);
}
