static void ProcessScansAndExportData()
{
//fully qualified output path where the scanned images of the forms will be located.
var scannedImagePath = AppDomain.CurrentDomain.BaseDirectory + @"Scans\";
///fully qualified path to the form template
var templatePath = AppDomain.CurrentDomain.BaseDirectory + "OmrOutput.omr";
//initialize an instance of the Aspose OMR engine
var omrEngine = new OmrEngine();
//retrieve all images from the Scans folder
var dirInfo = new DirectoryInfo(scannedImagePath);
var files = dirInfo.GetFiles("*.jpg");
//use the omrEngine to create an instance of the template processor based on the generated template
var templateProcessor2 = omrEngine.GetTemplateProcessor(templatePath);
foreach (var file in files)
{
//use the template processor to extract form data from the form image
string jsonResults = templateProcessor2.RecognizeImage(file.FullName, 28).GetJson();
//save the extracted data in a json file
File.WriteAllText(AppDomain.CurrentDomain.BaseDirectory + Path.GetFileNameWithoutExtension(file.FullName) + "_scan_results.json", jsonResults);
}
}
public static void Run()
{
// ExStart:1
string TemplateName = @"Sheet.omr";
string[] UserImages = new string[] { "Sheet1.jpg", "Sheet2.jpg" };
int CustomThreshold = 40;
// input and output preparation
string testFolderPath = RunExamples.GetSourceDir();
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = RunExamples.GetResultDir();
// actual OMR API calls
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
for (int i = 0; i < UserImages.Length; i++)
{
string imagePath = Path.Combine(testFolderPath, UserImages[i]);
string csvResult = templateProcessor.RecognizeImage(imagePath, CustomThreshold).GetCsv();
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImages[i]) + "_Threshold.csv"), csvResult);
Console.WriteLine("Result exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImages[i]) + "_Threashold.csv"));
}
Console.WriteLine("PerformOMRWithThreshold executed successfully.\n\r");
// ExEnd:1
}
/// <summary>
/// Silent and short version of recognition workflow
/// </summary>
public static void RecognizeShort()
{
// ---------------------------------------
// input and output preparation
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);
}
// ---------------------------------------
// actual OMR API calls
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
for (int i = 0; i < UserImages.Length; i++)
{
string imagePath = Path.Combine(testFolderPath, UserImages[i]);
string csvResult = templateProcessor.RecognizeImage(imagePath).GetCsv();
File.WriteAllText(Path.Combine(outputPath, UserImages[i] + ".csv"), csvResult);
}
}
public static void Run()
{
// ExStart:1
string TemplateName = @"AsposeTestWithBarcode.omr";
string UserImage = "AsposeTestWithBarcode.jpg";
// input and output preparation
string testFolderPath = RunExamples.GetSourceDir();
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = RunExamples.GetResultDir();
// actual OMR API calls
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
string imagePath = Path.Combine(testFolderPath, UserImage);
string csvResult = templateProcessor.RecognizeImage(imagePath).GetCsv();
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImage) + ".csv"), csvResult);
Console.WriteLine("Result exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImage) + ".csv"));
Console.WriteLine("OMROperationWithBarcodeRecognition executed successfully.\n\r");
// ExEnd:1
}
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();
}
}
/// <summary>
/// Loads and displays CorrectionControl
/// </summary>
private void GetButtonClicked(object sender, RoutedEventArgs e)
{
this.DataFolderPath = Path.Combine(FindDataFolder(), TestDataFolderName);
string templatePath = Path.Combine(this.DataFolderPath, TemplateName);
OmrEngine engine = new OmrEngine();
TemplateProcessor processor = engine.GetTemplateProcessor(templatePath);
control = engine.GetCorrectionControl(processor);
CustomContentControl.Content = control;
control.Initialize();
}
