face_recognition(face_recognition中文使用说明)号称是世界上最简单的开源人脸识别库，可以通过Python或命令行识别和操作人脸。本项目采用face_recognition开源库，利用网络摄像头(DroidCam,官网)实现人脸检测、人脸关键点提取、人脸识别对比、人脸识别之后在原图上标注姓名并语音播报识别成功后人的姓名，未识别的人实现报警提示。
1.安装dlib
dlib版本需要和Python版本相对应。由于我的Python版本是3.8.10，所以我去搜寻dlib-cp38。dlib版本如下：
dlib版本
如我将whl文件保存在 D:\data 中，则在命令行输入：
pip install D:\data\dlib-19.19.0-cp38-cp38-win_amd64.whl
1.安装face_recognition
使用pip安装（使用了国内镜像源），在命令行输入：
pip install face_recognition -i https://pypi.douban.com/simple
import face_recognition
import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import win32com.client as win
import winsound
import time
video_capture = cv2.VideoCapture(0)
hxh_image = face_recognition.load_image_file("./photo/张三.jpg")
hxh_face_encoding = face_recognition.face_encodings(hxh_image)[0]
hmy_image = face_recognition.load_image_file("./photo/王五.jpg")
hmy_face_encoding = face_recognition.face_encodings(hmy_image)[0]
hyx_image = face_recognition.load_image_file("./photo/李四.jpg")
hyx_face_encoding = face_recognition.face_encodings(hyx_image)[0]
zcy_image = face_recognition.load_image_file("./photo/赵四.jpg")
zcy_face_encoding = face_recognition.face_encodings(zcy_image)[0]
wq_image = face_recognition.load_image_file("./photo/小明.jpg")
wq_face_encoding = face_recognition.face_encodings(wq_image)[0]
known_face_encodings = [
hxh_face_encoding,
hmy_face_encoding,
hyx_face_encoding,
zcy_face_encoding,
wq_face_encoding
]
known_face_names = [
"张三",
"王五",
"李四",
"赵四",
"小明"
]
face_locations = []
face_encodings = []
face_names = []
process_this_frame = True
def addText(img, text, left, bottom):
if (isinstance(img, np.ndarray)):
img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
draw = ImageDraw.Draw(img)
fontStyle = ImageFont.truetype("./font/SIMYOU.TTF", 20, encoding="utf-8")
draw.text((left + 40, bottom + 25), text, (255, 255, 255), font=fontStyle)
return cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)
def show_landmarks(imge, landmarks):
for landmarks_dict in landmarks:
for landmarks_key in landmarks_dict.keys():
for point in landmarks_dict[landmarks_key]:
cv2.circle(imge, point, 2, (0, 0, 255), -1)
return imge
while True:
ret, frame = video_capture.read()
if process_this_frame:
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:, :, ::-1]
face_locations = face_recognition.face_locations(rgb_small_frame)
face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)
face_names = []
for face_encoding in face_encodings:
matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
name = "非法闯入"
face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
best_match_index = np.argmin(face_distances)
if matches[best_match_index]:
name = known_face_names[best_match_index]
face_names.append(name)
face_marks = face_recognition.face_landmarks(frame, None, "large")
frame = show_landmarks(frame, face_marks)
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)
frame = addText(frame, name, left, bottom)
speak = win.Dispatch("SAPI.SpVoice")
if(name == "非法闯入"):
speak.Speak(name)
time.sleep(1)
winsound.Beep(frequency=1440, duration=1000)
else:
speak = win.Dispatch("SAPI.SpVoice")
speak.Speak(name)
speak.Speak("欢迎回家")
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()
本项目为新手学习的一点记录，不足之处请各路大神指点！
Original: https://blog.csdn.net/qq_36666864/article/details/126643994
Author: Yellow Small Tiger
Title: Python实现人脸识别
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