OMR Sheet Reader in Java

OMR-Sheet-Reader.java

package com.example;
import com.aspose.omr.OmrEngine;
import com.aspose.omr.RecognitionResult;
import com.aspose.omr.TemplateProcessor;
import java.io.FileOutputStream;
import java.io.PrintWriter;
// OMR Sheet Reader in Java - OMR Sheet PNG
public class Main {
    public static void main(String[] args) throws Exception {
	// Define working directories.
	String[] UserImages = new String[] { "/Sheet.png" };
	String[] UserImagesNoExt = new String[] { "/files/" };
	String templatePath = "/Sheet.omr";
	// Create an object of the OmrEngine class. 
	OmrEngine engine = new OmrEngine();
	// Invoke the getTemplateProcessor method to get template processor. 
	TemplateProcessor templateProcessor = engine.getTemplateProcessor(templatePath);
	// Set a custom threshold to use in recalculation whose range is (0 to 100). Lower the value - the fewer black pixels required for a bubble to be counted as filled and vice versa.
	int CustomThreshold = 0;
	// Loop through the images.
	for (int i = 0; i < UserImages.length; i++)
	{
		String image = UserImages[i];
		String imagePath = image;
		// Recognize image by calling the recognizeImage method.
		RecognitionResult result = templateProcessor.recognizeImage(imagePath);
		// Call the getCsv method to get the export CSV string and save the CSV to the output folder.
		String stringRes = result.getCsv();
		String outputName = UserImagesNoExt[i] + ".csv";
		PrintWriter wr = new PrintWriter(new FileOutputStream(outputName), true);
		wr.println(stringRes);
		// Invoke the recalculate method to recalculate recognition results with custom threshold.
		templateProcessor.recalculate(result, CustomThreshold);
		stringRes = result.getCsv();
		// Save recalculated results in a CSV file.
		outputName = UserImagesNoExt[i] + "_recalculated.csv";
		wr = new PrintWriter(new FileOutputStream(outputName), true);
		wr.println(stringRes);
	}
    }
}