private void EvaluateDigitFromFile()
{
var openFileDialog = new OpenFileDialog
{
InitialDirectory = digitsFolder
};
DialogResult result = openFileDialog.ShowDialog();
if (result == DialogResult.OK)
{
digitsFolder = Path.GetDirectoryName(openFileDialog.FileName);
Bitmap digitImage = (Bitmap)Image.FromFile(openFileDialog.FileName);
digitPictureBox.Image = digitImage;
string digitLabel = Path.GetFileNameWithoutExtension(openFileDialog.FileName).First().ToString();
int correctAnswer = int.Parse(digitLabel);
InputDigit input = InputDigit.FromImage(correctAnswer, digitImage);
double[] normalizedPixels = input.Pixels.Select(p => NormalizeGrayScaleValue(p)).ToArray();
double[] responses = network.Query(normalizedPixels);
DisplayAnswer(responses);
}
}
private void ReadHandwrittenDigit()
{
Bitmap handwrittenDigit = new Bitmap(writingPanel.Width, writingPanel.Height);
writingPanel.DrawToBitmap(handwrittenDigit, new Rectangle(0, 0, writingPanel.Width, writingPanel.Height));
InputDigit input = InputDigit.FromImage(0, handwrittenDigit);
double[] normalizedPixels = input.Pixels.Select(p => NormalizeGrayScaleValue(p)).ToArray();
double[] responses = network.Query(normalizedPixels);
DisplayAnswer(responses);
}
private List <DigitTestResult> QueryNetwork(NeuralNetwork network)
{
synchronizationContext.Post(obj =>
{
testStatusText.Text = @"Reading test examples...";
}, null);
string[][] testDigits = ReadTestDigitsFrom(Path.Combine(dataFolder, "mnist_test.csv"));
var testResults = new List <DigitTestResult>();
foreach (string[] input in testDigits)
{
string[] inputDigitPixels = input.Skip(1).ToArray();
double[] normalizedInput = NormalizeInput(inputDigitPixels);
double[] response = network.Query(normalizedInput);
double max = response.Max(x => x);
int networkAnswer = response.ToList().IndexOf(max);
int correctAnswer = int.Parse(input[0]);
int[] invertedPixels = inputDigitPixels.Select(int.Parse).ToArray();
InputDigit inputDigit = InputDigit.FromInvertedPixels(correctAnswer, invertedPixels);
var testResult = new DigitTestResult(correctAnswer, networkAnswer, inputDigit.Image);
testResults.Add(testResult);
int totalTests = testResults.Count;
int correctAnswerCount = testResults.Count(result => result.IsCorrect);
synchronizationContext.Post(obj =>
{
var testDigitResult = (DigitTestResult)obj;
testDigitPictureBox.Image = testDigitResult.Bitmap;
testStatusText.Text = $@"Total: {totalTests} ; Wrong: {totalTests - correctAnswerCount}";
}, testResult);
}
return(testResults);
}
