Aspose.OMR for Java

01_Aspose.OMR for Java

This Gist contains code snippets of Aspose.OMR for Java

Examples-src-main-java-com-aspose-omr-examples-GenerateOMRTemplate-GenerateOMRTemplate-1.java

// For complete examples and data files, please go to https://github.com/aspose-omr/Aspose.OMR-for-Java
String sourceDirectory = Utils.combine(Utils.getSourceDirectory(), "Generation");
String outputDirectory = Utils.combine(Utils.getOutputDirectory(), "GenerationResult");

String[] GenerationMarkups = new String[] { "Sheet.txt", "Grid.txt", "AsposeTest.txt" };
String[] GenerationMarkupsNoExt = new String[] { "Sheet", "Grid", "AsposeTest" };

OmrEngine engine = new OmrEngine();

for (int i = 0; i < GenerationMarkups.length; i++)
{
    // call template generation providing path to the txt file with markup
    GenerationResult res = engine.generateTemplate(Utils.combine(sourceDirectory, GenerationMarkups[i]));

    // check in case of errors
    if (res.getErrorCode() != 0)
    {
        System.out.println("ERROR CODE: " + res.getErrorCode());
    }

    // save generation result: image and .omr template
    res.save(outputDirectory, GenerationMarkupsNoExt[i]);
}

Examples-src-main-java-com-aspose-omr-examples-GettingStarted-LoadLicenseFromFile-1.java

// For complete examples and data files, please go to https://github.com/aspose-omr/Aspose.OMR-for-Java
// Initialize license object
License omrLicense = new License();
// Set license
// Pass valid license path
omrLicense.setLicense("Aspose.OMR.lic");

Examples-src-main-java-com-aspose-omr-examples-GettingStarted-LoadLicenseFromStream-1.java

// For complete examples and data files, please go to https://github.com/aspose-omr/Aspose.OMR-for-Java
// Initialize license object
License omrLicense = new License();
// Set license
// Pass valid license path
omrLicense.setLicense(new java.io.FileInputStream("Aspose.OMR.lic"));

Examples-src-main-java-com-aspose-omr-examples-PerformOMR-PerformOMROnImages-1.java

// For complete examples and data files, please go to https://github.com/aspose-omr/Aspose.OMR-for-Java
String TemplateName = "Sheet.omr";
String[] UserImages = new String[] { "Sheet1.jpg", "Sheet2.jpg" };
String[] UserImagesNoExt = new String[] { "Sheet1", "Sheet2" };

String sourceDirectory = Utils.getSourceDirectory();
String outputDirectory = Utils.combine(Utils.getOutputDirectory(), "Result");
String templatePath = Utils.combine(Utils.getSourceDirectory(), TemplateName);

// initialize engine and get template processor providing path to the .omr file
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.getTemplateProcessor(templatePath);
System.out.println("Template loaded.");

// images loop
for (int i = 0; i < UserImages.length; i++) {
    // path to the image to be recognized
    String imagePath = Utils.combine(sourceDirectory, UserImages[i]);
    System.out.println("Processing image: " + imagePath);

    // recognize image and receive result
    RecognitionResult result = templateProcessor.recognizeImage(imagePath);

    // export results as csv string
    String csvResult = result.getCsv();

    String json = result.getJson();

    // save csv to the output folder
    PrintWriter wr = new PrintWriter(new FileOutputStream(Utils.combine(outputDirectory, UserImagesNoExt[i] + ".csv")), true);
    wr.println(csvResult);
}

Examples-src-main-java-com-aspose-omr-examples-PerformOMR-PerformOMRRecalculation-1.java

// For complete examples and data files, please go to https://github.com/aspose-omr/Aspose.OMR-for-Java
String TemplateName = "Sheet.omr";
String[] UserImages = new String[] { "Sheet1.jpg", "Sheet2.jpg" };
String[] UserImagesNoExt = new String[] { "Sheet1", "Sheet2" };

String sourceDirectory = Utils.getSourceDirectory();
String outputDirectory = Utils.combine(Utils.getOutputDirectory(), "Result");
String templatePath = Utils.combine(Utils.getSourceDirectory(), TemplateName);

// init engine and get template processor
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.getTemplateProcessor(templatePath);
System.out.println("Template loaded.");

// Set custom threshold to use in recalculation
// this value is in range (0..100)
// represents the percentage of required black pixels on bubble image to be recognized
// i.e. the lower the value - the less black pixels required for bubble to be counted as filled and vice versa
int CustomThreshold = 40;

// images loop
for (int i = 0; i < UserImages.length; i++)
{
    String image = UserImages[i];
    String imagePath = Utils.combine(sourceDirectory, image);
    System.out.println("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 = combine(outputDirectory, UserImagesNoExt[i] + ".csv");

    PrintWriter wr = new PrintWriter(new FileOutputStream(outputName), true);
    wr.println(stringRes);

    System.out.println("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 = combine(outputDirectory, UserImagesNoExt[i] + "_recalculated.csv");

    wr = new PrintWriter(new FileOutputStream(outputName), true);
    wr.println(stringRes);

    System.out.println("Recalculated result export done. Path: " + outputName);
    System.out.println();
}

Examples-src-main-java-com-aspose-omr-examples-PerformOMR-PerformOMRWithThreshold-1.java

// For complete examples and data files, please go to https://github.com/aspose-omr/Aspose.OMR-for-Java
String TemplateName = "Sheet.omr";
String[] UserImages = new String[] { "Sheet1.jpg", "Sheet2.jpg" };
String[] UserImagesNoExt = new String[] { "Sheet1", "Sheet2" };

String sourceDirectory = Utils.getSourceDirectory();
String outputDirectory = Utils.combine(Utils.getOutputDirectory(), "Result");
String templatePath = Utils.combine(Utils.getSourceDirectory(), TemplateName);

int customThreshold = 40;

// initialize engine and get template processor providing path to the .omr file
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.getTemplateProcessor(templatePath);
System.out.println("Template loaded.");

// images loop
for (int i = 0; i < UserImages.length; i++) {
    // path to the image to be recognized
    String imagePath = Utils.combine(sourceDirectory, UserImages[i]);
    System.out.println("Processing image: " + imagePath);

    // recognize image and receive result
    RecognitionResult result = templateProcessor.recognizeImage(imagePath, customThreshold);

    // export results as csv string
    String csvResult = result.getCsv();

    String json = result.getJson();

    String outputName = Utils.combine(outputDirectory, UserImagesNoExt[i] + "_threashold.csv");

    // save csv to the output folder
    PrintWriter wr = new PrintWriter(new FileOutputStream(outputName), true);
    wr.println(csvResult);
    System.out.println("Generated File: " + outputName);
}