python调用摄像头人脸识别代码_利用face_recognition，dlib与OpenCV调用摄像头进行人脸识别...

用已经搭建好 face_recognition，dlib 环境来进行人脸识别

未搭建好环境请参考：

使用opencv 调用摄像头

import face_recognition

import cv2

video_capture = cv2.videocapture(0)

# videocapture打开摄像头，0为笔记本内置摄像头，1为外usb摄像头，或写入视频路径

mayun_img = face_recognition.load_image_file("mayun.jpg")

jobs_img = face_recognition.load_image_file("jobs.jpg")

mayun_face_encoding = face_recognition.face_encodings(mayun_img)[0]

jobs_face_encoding = face_recognition.face_encodings(jobs_img)[0]

face_locations = []

face_encodings = []

face_names = []

process_this_frame = true

while true:

ret, frame = video_capture.read()

# video_capture.read()按帧读取视频，ret,frame是获video_capture.read()方法的两个返回值。

# 其中ret是布尔值，如果读取帧是正确的则返回true，

# 如果文件读取到结尾，它的返回值就为false。frame就是每一帧的图像，是个三维矩阵。

small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

# 对截取到的图像进行处理

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([mayun_face_encoding, jobs_face_encoding], face_encoding)

if match[0]:

name = "mayun"

elif match[1]:

name = "jobs"

else:

name = "unknown"

print(name)

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)

if cv2.waitkey(1) & 0xff == ord('q'):

break

video_capture.release()

cv2.destroyallwindows()

我使用手机中的照片来进行验证

因为是按每一帧进行读取：

有些人在使用时会出现摄像头打不开的情况

我使用的是win10系统给出一个建议：

在设置中找到隐私设置，在找到相机选项，把权限打开即可

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