face recognition.py

import face_recognition
import numpy as np
from PIL import Image, ImageDraw

 
known_image = face_recognition.load_image_file("aditya.jpg")
encoding = face_recognition.face_encodings(known_image)[0]


unknown_image = face_recognition.load_image_file("pic.jpg")


face_locations = face_recognition.face_locations(unknown_image)
face_encodings = face_recognition.face_encodings(unknown_image, face_locations)


pil_image = Image.fromarray(unknown_image)

draw = ImageDraw.Draw(pil_image)

for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings): 
    matches = face_recognition.compare_faces([encoding], face_encoding)

    face_distances = face_recognition.face_distance([encoding], face_encoding)
    best_match_index = np.argmin(face_distances)
    if matches[best_match_index]:

        draw.rectangle(((left - 20, top - 20), (right + 20, bottom + 20)), outline=(0, 255, 0), width=20)


del draw


pil_image.show()