static void Main(string[] args)
{
//Constructing a new interpreter instance from the modelfile
TFLite.Interpreter interpreter = new TFLite.Interpreter("modelpath/modelfile.tflite");
Console.WriteLine("Interpreter Built Successfully");
//Setting the number of threads of the interpreter
interpreter.SetNumThreads(1);
//Declaring input and output variables;
Array input = new int[5] {
1, 2, 3, 4, 5
};
Array output = new int[5];
//Call to invoke the interpreter and run the inference to populate output
interpreter.Run(input, out output);
Console.WriteLine("Output generated Successfully");
//get input, output indices
Console.WriteLine("Input index for tensorname: " + interpreter.GetInputIndex("tensorname"));
Console.WriteLine("Output index for tensorname: " + interpreter.GetOutputIndex("tensorname"));
//Resizing the dimensions
int[] dims = new int[3] {
1, 2, 3
};
interpreter.ResizeInput(1, dims);
//Disposing the interpreter to free resources at the end
interpreter.Dispose();
Console.WriteLine("Run Complete");
}
public App()
{
TFLite.Interpreter interpreter = null;
try
{
interpreter = new TFLite.Interpreter(Tizen.Applications.Application.Current.DirectoryInfo.Resource + "mobilenet_v1_1.0_224.tflite");
}
catch (Exception e)
{
Tizen.Log.Debug("tflite", "Error: " + e);
}
Tizen.Log.Debug("tflite", "Interpreter Initialised");
Array Output = new byte[1000];
Array input = new byte[150582];
input = File.ReadAllBytes(Tizen.Applications.Application.Current.DirectoryInfo.Resource + "mouse_224.bmp");
interpreter.Run(input, ref Output);
//val variable to check if the Output array is being populated or not.
byte val = ((byte[])Output)[0];
// The root page of your application
MainPage = new ContentPage
{
Content = new StackLayout
{
VerticalOptions = LayoutOptions.Center,
Children =
{
new Label {
HorizontalTextAlignment = TextAlignment.Center,
Text = "Welcome to Xamarin Forms!"
}
}
}
};
}
