private DecodedLetters DecodeExtractedLetters(IEnumerable <IEnumerable <CsvRow> > lettersCollections, QrReaderData qrData)
{
string currentResult = null;
var isChecksumCorrect = false;
foreach (var letters in lettersCollections)
{
var csvReader = DataOutput.GetCsvParser(letters);
var targetName = "class";
var featureNames = csvReader.EnumerateRows(c => c != targetName).First().ColumnNameToIndex.Keys.ToArray();
var testObservations = csvReader.EnumerateRows(featureNames).ToF64Matrix();
testObservations.Map(p => p / 255);
var model = ClassificationNeuralNetModel.Load(() => new StreamReader("network.xml"));
var predictions = model.Predict(testObservations);
var stringBuilder = new StringBuilder();
foreach (var prediction in predictions)
{
stringBuilder.Append(Math.Abs(prediction - -1) < 0.01 ? '-' : Alphabet.Base32Alphabet.ToString()[(int)prediction]);
}
currentResult = stringBuilder.ToString();
isChecksumCorrect = Sha1Helper.IsChecksumCorrect(currentResult, qrData.MetaData.Checksum);
if (isChecksumCorrect)
{
break;
}
}
return(new DecodedLetters {
Letters = currentResult, IsChecksumOk = isChecksumCorrect
});
}
