faceRecognition.py

#coding=utf-8

import cv2
import face_recognition
import os

path = "img/face_recognition"
cap = cv2.VideoCapture(0)
total_image_name = []
total_face_encoding = []
for fn in os.listdir(path):
    print(path + "/" + fn)
    total_face_encoding.append(
        face_recognition.face_encodings(
            face_recognition.load_image_file(path +'/' + fn)
        )[0]
    )
    fn = fn[:(len(fn) - 4)]
    total_image_name.append(fn)
while(1):
    ret, frame = cap.read()
    face_locations = face_recognition.face_locations(frame)
    face_encodings = face_recognition.face_encodings(frame, face_locations)

    for(top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
        for i, v in enumerate(total_face_encoding):
            match = face_recognition.compare_faces([v], face_encoding, tolerance=0.5)
            name = "Unknown"
            if match[0]:
                name = total_image_name[i]
                break
        
        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
        cv2.rectangle(frame, (left, bottom -35), (right, bottom), (0, 0, 255), cv2.FILLED)
        font = cv2.FONT_HERSHEY_DUPLEX
        cv2.putText(frame, name, (left + 6, bottom -6), font, 1.0, (255, 255, 255), 1)

    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()