public static void Run()
{
// ExStart:1
string TemplateName = @"Sheet.omr";
string[] UserImages = new string[] { "Sheet1.jpg", "Sheet2.jpg" };
string testFolderPath = RunExamples.GetSourceDir();
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = RunExamples.GetResultDir();
int CustomThreshold = 40;
// init engine and get template processor
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
for (int i = 0; i < UserImages.Length; i++)
{
string image = UserImages[i];
string imagePath = Path.Combine(testFolderPath, image);
Console.WriteLine("\n\rProcessing image: " + imagePath);
// timer for performance measure
Stopwatch sw = Stopwatch.StartNew();
// recognize image
RecognitionResult result = templateProcessor.RecognizeImage(imagePath);
sw.Stop();
Console.WriteLine("Recognition time: " + sw.Elapsed);
// get export csv string
string stringRes = result.GetCsv();
// save csv to output folder
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + ".csv"), stringRes);
Console.WriteLine("Result Exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + ".csv"));
sw.Restart();
// recalculate recognition results with custom threshold
Console.WriteLine("\n\rPerformaing recalculation\n\r");
templateProcessor.Recalculate(result, CustomThreshold);
sw.Stop();
Console.WriteLine("Recalculation time: " + sw.Elapsed);
// get export csv string
stringRes = result.GetCsv();
// save recalculated results
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + "_Recalculated.csv"), stringRes);
Console.WriteLine("Recalculation result exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + "_Recalculated.csv"));
}
Console.WriteLine("PerformOMRRecalculation executed successfully.\n\r");
// ExEnd:1
}
/// <summary>
/// Method demonstrated full OMR workflow.
/// </summary>
public static void Recognize()
{
// Set custom threshold to use in recalculation
int CustomThreshold = 40;
string testFolderPath = Path.Combine(FindDataFolder(), TestDataFolderName);
Console.WriteLine("Test folder located. Path: " + testFolderPath);
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = Path.Combine(testFolderPath, "Result");
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
// init engine and get template processor
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
for (int i = 0; i < UserImages.Length; i++)
{
string image = UserImages[i];
string imagePath = Path.Combine(testFolderPath, image);
Console.WriteLine("Processing image: " + imagePath);
// recognize image
RecognitionResult result = templateProcessor.RecognizeImage(imagePath);
// get export csv string
string stringRes = result.GetCsv();
// save csv to output folder
string outputName = Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + ".csv");
File.WriteAllText(outputName, stringRes);
Console.WriteLine("Export done. Path: " + outputName);
// recalculate recognition results with custom threshold
templateProcessor.Recalculate(result, CustomThreshold);
// get export csv string
stringRes = result.GetCsv();
// save recalculated results
outputName = Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + "_recalculated.csv");
File.WriteAllText(outputName, stringRes);
Console.WriteLine("Recalculated result export done. Path: " + outputName);
Console.WriteLine();
}
}
