face_rec_datatset(Step 1).py

import cv2
import numpy as np
facedetect=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
sampleNum=0
uid=input("Enter User Id ")
cam=cv2.VideoCapture(0)
while True:
    ret,img=cam.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = facedetect.detectMultiScale(gray,1.3,5)
    for(x,y,w,h) in faces:
        sampleNum+=1
        cv2.imwrite('DATASET/'+uid+' '+str(sampleNum)+'.jpg',gray[y:y+h,x:x+w])
        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
        cv2.waitKey(100)
    cv2.imshow('face',img)
    cv2.waitKey(1)
    if sampleNum>50:
            break
cam.release()
cv2.destroyAllWindows()