public static float[] PredictCoordinates(Bitmap image, FloatContour chainPoints, double scale)
{
Trace.WriteLine("Predicting coordinates with " + AppSettings.MLModelFilename + " model using Emgu.TF.Lite / TensorFlow Lite");
var model = new MLModel(Path.Combine(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location), AppSettings.MLModelFilename));
var mlImage = ConvertDatabaseFinToMLImage(image, chainPoints, scale);
var directBmp = new DirectBitmap(mlImage.Image);
//var floatArray = directBmp.ToScaledRGBFloatArray();
// This must match what the model expects. E.g., this is what Keras on TF for Resnet uses:
var floatArray = directBmp.ToScaledTensorFlowRGBPreprocessInput();
var coordinates = model.Run(floatArray);
Trace.WriteLine("Raw predicted coordinates:");
// Scale/translate the coordinates back to the original image
for (int i = 0; i < coordinates.Length; i++)
{
Trace.Write(" " + coordinates[i]);
if (i % 2 == 0)
{
coordinates[i] = (float)((coordinates[i] / mlImage.XRatio + mlImage.XMin) * scale);
}
else
{
coordinates[i] = (float)((coordinates[i] / mlImage.YRatio + mlImage.YMin) * scale);
}
}
Trace.WriteLine(" ");
// Rescale the coordinates back to the original
return(coordinates);
}
