public async Task InitModelAsync(NeuroModel model)
{
WebsocketData dataModel = new WebsocketData()
{
MsgType = "init",
Model = model
};
await SendDataAsync(WS, dataModel);
}
private async void UpdateModel()
{
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | updating model..."
};
if (_model == null)
{
_model = new NeuroModel();
}
await _model.UpdateModel();
Status = new AppStatusInfo()
{
Status = Enums.Status.Ready
};
}
private async void PredictAll()
{
if (Frames == null || Frames.Count < 1)
{
return;
}
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | loading model..."
};
if (_model == null)
{
_model = new NeuroModel();
}
var isLoaded = await _model.Load();
if (!isLoaded)
{
Status = new AppStatusInfo()
{
Status = Enums.Status.Error,
StringStatus = $"Error: unable to load model"
};
_model.Dispose();
_model = null;
return;
}
var index = 0;
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | processing images: {index} / {Frames.Count}"
};
foreach (var frame in Frames)
{
index++;
frame.Rectangles = await _model.Predict(frame);
if (index < Frames.Count)
{
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | processing images: {index} / {Frames.Count}"
}
}
;
else
{
Status = new AppStatusInfo()
{
Status = Enums.Status.Ready
};
}
}
UpdateUi();
}
private async void PredictAll()
{
if (Frames == null || Frames.Count < 1)
{
return;
}
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | loading model..."
};
if (_model == null)
{
_model = new NeuroModel();
}
var isLoaded = await _model.Run();
if (!isLoaded)
{
Status = new AppStatusInfo()
{
Status = Enums.Status.Error,
StringStatus = $"Error: unable to load model"
};
_model.Dispose();
_model = null;
return;
}
var index = 0;
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | processing images: {index} / {Frames.Count}"
};
foreach (var frame in Frames)
{
index++;
frame.Rectangles = await _model.Predict(frame);
if (index < Frames.Count)
{
Status = new AppStatusInfo()
{
Status = Enums.Status.Working,
StringStatus = $"Working | processing images: {index} / {Frames.Count}"
}
}
;
if (frame.Rectangles.Count > 0)
{
frame.IsVisible = true;
}
}
_frames = new List <Frame>(Frames);
await _model.Stop();
SelectedIndex = 0; //Fix bug when application stopped if index > 0
UpdateUi();
Status = new AppStatusInfo()
{
Status = Enums.Status.Ready
};
}
public Task InitModel(NeuroModel model)
{
throw new NotImplementedException();
}
