try {
        String line = new String();

        String command = "/Library/Frameworks/Python.framework/Versions/3.6/bin/python3 ./tester.py";
        Process p = Runtime.getRuntime().exec(command+ " "+id);
        p.waitFor();
        System.out.println("exit value: "+p.exitValue());
        BufferedReader bri = new BufferedReader(new InputStreamReader(p.getInputStream()));

        if ((line = bri.readLine()) != null) {
            x = Integer.parseInt(line);
            System.out.println("valore int x : " +x);
        }

        bri.close();
    }catch (Exception e){
        e.printStackTrace();
    }

import cv2
import os
import numpy as np
import faceRecognition as fr
import sys



#This module takes images  stored in diskand performs face recognition
test_img=cv2.imread('TestImages/imgtotest'+sys.argv[1]+'.jpg')#test_img path
faces_detected,gray_img=fr.faceDetection(test_img)
# print("faces_detected:",faces_detected)


#Comment belows lines when running this program second time.Since it saves training.yml file in directory
# faces,faceID=fr.labels_for_training_data('trainingImages')
# face_recognizer=fr.train_classifier(faces,faceID)
# face_recognizer.write('trainingData.yml')


#Uncomment below line for subsequent runs
face_recognizer=cv2.face.LBPHFaceRecognizer_create()
face_recognizer.read('trainingData.yml')#use this to load training data for subsequent runs

name={0:"Priyanka",1:"Kangana",2:"Agos",3:"Valaur"}#creating dictionary containing names for each label
returnCode = 0
#forExecuted = -1
for face in faces_detected:
    #print("sono qui")
    #forExeceuted = 1
    (x,y,w,h)=face
    roi_gray=gray_img[y:y+h,x:x+h]
    label,confidence=face_recognizer.predict(roi_gray)#predicting the label of given image
    # print("confidence:",confidence)
    # print("label:",label)
    fr.draw_rect(test_img,face)
    predicted_name=name[label]
    if(confidence>37):#If confidence more than 37 then don't print predicted face text on screen
        #print("sono qui")
        returnCode = -1
        continue
    returnCode = 1
    fr.put_text(test_img,predicted_name,x,y)

resized_img=cv2.resize(test_img,(1000,1000))
print(int(func(returnCode)))
#cv2.imshow("face dtecetion tutorial",resized_img)
#cv2.waitKey(0)#Waits indefinitely until a key is pressed
#cv2.destroyAllWindows

    def func(a):
        return a