#头文件：
import cv2 as cv
import numpy as np
import os
from PIL import Image
import xlsxwriter
import psutil
import time
#人脸录入
def get_image_name(name):
name_map = {f.split(‘.’)[1]:int(f.split(‘.’)[0]) for f in os.listdir(“./picture”)}
if not name_map:
name_number = 1
elif name in name_map:
name_number = name_map[name]
else:
name_number = max(name_map.values()) + 1
return ‘./picture/’ + str(name_number) + “.” + name + ‘.jpg’
def save_face(faces,img,name):
if len(faces) == 0:
print(“没有检测到人脸，请调整”)
return
if len(faces) >1:
print(“检测到多个人脸”)
return
x,y,w,h = faces[0]
cv.imwrite(get_image_name(name),img[y:y+h,x:x+w])
print(“录上了”)
def img_extract_faces(img):
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
face_classifier = cv.CascadeClassifier(‘./haarcascade_frontalface_alt2.xml’)
return face_classifier.detectMultiScale(gray, 1.1, 5), gray
def main():
cap = cv.VideoCapture(0)
if not cap.isOpened():
print(‘连接失败’)
name = input(“what is your name” />while True:
ret, frame = cap.read()
if not ret:
print(“读帧失败”)
break
#检测并提取人脸信息
faces, gray = img_extract_faces(frame)
for x, y, w, h in faces:
cv.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), thickness=2)
cv.imshow(“还好我拼命护住了脸，英俊的相貌才得以保存”, frame)
k = cv.waitKey(1)
if k == ord(‘s’):
save_face(faces, gray, name)
elif k == ord(‘q’):
break
cap.release()
cv.destroyAllWindows()
main()
#训练数据
faces_list = []
labels = []
def main():
for f in os.listdir(‘./picture’):
img = cv.imread(os.path.join(‘./picture’,f), 0)
face_classifier = cv.CascadeClassifier(r’E:\Users\liufugui\PycharmProjects\pythonProject4\venv\Lib\site-packages\cv2\data\haarcascade_frontalface_alt2.xml’)
faces = face_classifier.detectMultiScale(img)
if len(faces) == 0:
continue
x, y, w, h = faces[0]
faces_list.append(img[y:y+h, x:x+w])
labels.append(int(f.split(‘.’)[0]))
recognizer = cv.face.LBPHFaceRecognizer_create()
recognizer.train(faces_list, np.array(labels))
recognizer.write(‘train.yml’)
main()
#人脸识别
def main():
cap = cv.VideoCapture(0)
if not cap.isOpened():
print(‘连接失败’)
name_map = {int(f.split(‘.’)[0]) : f.split(‘.’)[1] for f in os.listdir(“./picture”)}
while True:
ret, frame = cap.read()
if not ret:
print(“读帧失败”)
break
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
recognizer = cv.face.LBPHFaceRecognizer_create()
recognizer.read(‘train.yml’)
face_classifier = cv.CascadeClassifier(‘./haarcascade_frontalface_alt2.xml’)
faces = face_classifier.detectMultiScale(gray)
for (x, y, w, h) in faces:
img_id, confidence = recognizer.predict(gray[y:y + h, x:x + w])
if confidence > 75:
name = ‘未识别’
else:
name = name_map[img_id]
cv.putText(
img=frame, org=(x, y), text=name,
fontFace=cv.FONT_HERSHEY_SIMPLEX, fontScale=0.75, color=(0, 255, 0), thickness=1
)
cv.circle(
img=frame, center=(x + w // 2, y + h // 2), radius=w//2,
color=(255, 0, 0), thickness=1
)
cv.imshow(“还好我拼命护住了脸，英俊的相貌才得以保存”, frame)
if cv.waitKey(1) == ord(‘q’):
break
cap.release()
cv.destroyAllWindows()
main()