face_recognition 实现实时人脸识别

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jun  1 19:40:03 2019

@author: lg
"""

# -*- coding: utf-8 -*-
import face_recognition
import cv2

video_capture = cv2.VideoCapture(0)
 
obama_img = face_recognition.load_image_file("lg.jpg")
obama_face_encoding = face_recognition.face_encodings(obama_img)[0]

tt_img = face_recognition.load_image_file("tt.jpg")
tt_face_encoding = face_recognition.face_encodings(tt_img)[0]

face_locations = []
face_encodings = []
face_names = []
process_this_frame = True
 
while True:
    ret, frame = video_capture.read()
 
 
    small_frame = cv2.resize(frame,(0,0),fx=0.25, fy=0.25)
 
    if process_this_frame:
        face_locations = face_recognition.face_locations(small_frame)
        face_encodings = face_recognition.face_encodings(small_frame, face_locations)
 
        face_names = []
        for face_encoding in face_encodings:
            match = face_recognition.compare_faces([obama_face_encoding,tt_face_encoding], face_encoding)
 
            if match[0]:
                name = "lg"
            elif match[1]:
                name = "tt"
            else:
                name = "unkonwn"
 
            face_names.append(name)
 
    process_this_frame = not process_this_frame
 
    for (top, right, bottom, left), name in zip(face_locations, face_names):
        top *= 4 
        right *= 4
        bottom *= 4
        left *= 4
 
        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255),  2)
 
        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), 2)
        font = cv2.FONT_HERSHEY_DUPLEX
        cv2.putText(frame, name, (left+6, bottom-6), font, 1.0, (255, 255, 255), 1)
 
    cv2.imshow('Video', frame)
    #按Q退出，结束程序
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
 
video_capture.release()
cv2.destroyAllWindows()