Face_Recog_Prac1.py

import cv2
import numpy as np
import dlib



img =cv2.imread('Joy.jpg')
img=cv2.resize(img,(0,0),None,0.6,0.6)
imgOriginal=img.copy()


detector = dlib.get_frontal_face_detector()
predictor=dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

imgGray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=detector(imgGray)

for face in faces:
    x1,y1=face.left(),face.top()
    x2,y2=face.right(),face.bottom()
    imgOriginal =cv2.rectangle(img,(x1,y1),(x2,y2),(0,255,0),2)
    landmarks = predictor(imgGray,face)
    for n in range(68):
        x=landmarks.part(n).x
        y=landmarks.part(n).y
        cv2.circle(imgOriginal,(x,y),5,(50,50,255),cv2.FILLED)
        

cv2.imshow("Original",imgOriginal)
cv2.waitKey(0)