source: other-projects/is-sheet-music-encore/trunk/image-identification-terminal/javaAccuracyCalculator.java@ 33141

import java.io.File;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
public class javaAccuracyCalculator{
                    
    //Read in log.txt, grab first item in array of each line
    //Counter for everytime have readline
    //Calculate accuracy rate
    public static void main(String[] args) {    
        try {
            if (args.length != 3) {
            System.out.println("Usage: imageClassifier <inputFilename> <classifierType> <outputFilename>");
            }
            else {
                String inputFilename = args[0];
                String classifierType = args[1];
                String outputFilename = args[2];
                FileReader fileReader = new FileReader(inputFilename);
                BufferedReader buf = new BufferedReader(fileReader);
                FileWriter fw = new FileWriter(outputFilename,true);
                String line = null;
                String[] item;
                float trueAccuracyRate  =0;
                float falseAccuracyRate =0;
                int trueCount   = 0;
                int falseCount  = 0;                
                int sheetMusicCount = 0;
                int notSheetMusicCount  = 0;
                //Splits into each record, since readLine splits by "\n"
                while ((line = buf.readLine()) != null) {
                    item = line.split("\t");        
                    //Calculate AccuracyRates
                    if(item[1].contains("TestImages/SheetMusic/")){
                        sheetMusicCount++;
                        if(item[3].equals("true")){
                            trueCount++;
                        }
                    }
                    if(item[1].contains("TestImages/NotSheetMusic/")){
                        notSheetMusicCount++;
                        if(item[3].equals("true")){
                            falseCount++;
                        }
                    }                       
                }
                
                //Amount of sheetMusic classified images / total amount of images read 
                trueAccuracyRate = ((float)trueCount/(float)sheetMusicCount)*(float)100;
                //Amount of notSheetMusic classified images / total amount of images read 
                falseAccuracyRate = ((float)falseCount/(float)notSheetMusicCount)*(float)100;
                
                fw.write("Classifier: " + classifierType + '\t' + "SheetMusicAccuracyRate: " + trueAccuracyRate + "%" + '\t' + "NotSheetMusicAccuracyRate :" + falseAccuracyRate + "%" + "\n");     
                buf.close();
                fw.close();                             
            }
        }
        catch(Exception e){
            System.err.println(e);
        }
    }  
 
}