private void RecognizeAndLoadPicture(Matrix recognizable)
{
Debug.WriteLine(recognizable.ToPrettyString());
Bitmap[] sampleImages = bitmapFilePaths
.Select(path => new Bitmap(path))
.ToArray();
Vector inputVector = recognizable.ToVectorByRows();
int iterations = 0;
bool okay = false;
Perceptron perceptron = null;
while (!okay)
{
perceptron = new Perceptron(
pixelsCount: inputVector.Length,
sampleAmmount: sampleImages.Length
);
perceptron.Teach(sampleImages, ref iterations);
Debug.WriteLine("iterations: {0}", iterations);
if (iterations > 10)
{
okay = true;
}
}
Vector result = perceptron.Recognize(inputVector);
labelIterations.Text = iterations.ToString();
Debug.WriteLine("Similarity:");
Enumerable.Range(0, sampleImages.Length)
.ToList()
.ForEach(i => Debug.WriteLine("{0} -> {1}", i, result[i]));
labelFirst.Text = (result[0] * 100).ToString("0.00") + "%";
labelSecond.Text = (result[1] * 100).ToString("0.00") + "%";
labelThird.Text = (result[2] * 100).ToString("0.00") + "%";
progressBar1.Value = (int)(result[0] * 100);
progressBar2.Value = (int)(result[1] * 100);
progressBar3.Value = (int)(result[2] * 100);
int resultIndex = result.ToList().IndexOf(result.Max()) + 1;
labelRecognized.Text = resultIndex.ToString();
Debug.WriteLine("resultIndex: {0}", resultIndex);
}
