python—人脸识别

• 创建一个images文件夹在同一目录下存放照片作为数据库
• 代码

import face_recognition #导入各个模块
import time
import cv2
import os

def face(path):
    known_names=[] #存储知道人名列表
    known_encodings=[]#存储知道的特征值
    for image_name in os.listdir(path):
        load_image = face_recognition.load_image_file(path+image_name) #加载图片
        image_face_encoding = face_recognition.face_encodings(load_image)[0] #获得128维特征值
        known_names.append(image_name.split(".")[0])
        known_encodings.append(image_face_encoding)
    #print(load_image)
    face_names = [] #存储出现在画面中人脸的名字
    video_capture = cv2.VideoCapture(0) #打开摄像头，0表示内置摄像头
    process_this_frame = True
    while True:
        ret, frame = video_capture.read()# 读取摄像头画面
        # opencv的图像是BGR格式的，而我们需要是的RGB格式的，因此需要进行一个转换。
        rgb_frame = frame[:, :, ::-1]
        if process_this_frame:
            face_locations = face_recognition.face_locations(rgb_frame)#获得所有人脸位置
            face_encodings = face_recognition.face_encodings(rgb_frame, face_locations) #获得人脸特征值
            for face_encoding in face_encodings:         
                matches = face_recognition.compare_faces(known_encodings, face_encoding,tolerance=0.5)
                if True in matches:
                    first_match_index = matches.index(True)
                    name = known_names[first_match_index]
                else:
                    name="unknown"
                face_names.append(name)

        process_this_frame = not process_this_frame

        # 将捕捉到的人脸显示出来
        for (top, right, bottom, left), name in zip(face_locations, face_names):
            cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) # 画人脸矩形框
            # 加上人名标签
            cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
            font = cv2.FONT_HERSHEY_DUPLEX #字体格式
            cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

        cv2.imshow('frame', frame)#展示图像

        if cv2.waitKey(1) & 0xFF == ord('q'):# 按Q退出
            break
    video_capture.release()
    cv2.destroyAllWindows()
    print(time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time())))
    face_name=[]

    face_name=set(face_names)
    for i in face_name:
        print(i+" go into the classroom")


if __name__=='__main__':
    face("./images/") #存放已知图像路径

参考：https://blog.csdn.net/weixin_42365428/article/details/88735329