[英]while True loop inside a While True loop
基本上,每次检测到我的脸时,我都需要蜂鸣器和 LED 播放/点亮,但到目前为止它只播放一次。 例如。 我露出我的脸,它播放“已登录”,灯亮了 3 秒钟,它停止工作。
关于项目:我们在 ras pi 上使用 usb 摄像头来识别人脸并“解锁门”,当前打开 LED 3 秒钟,每次识别到某人的脸时,扬声器都会说“已登录”。 SQL 是我同学做的考勤,所以我无法解释。
from imutils.video import VideoStream
from imutils.video import FPS
import face_recognition
import imutils
import pickle
import time
import cv2
import mysql.connector
from datetime import datetime,date
from playsound import playsound
from gpiozero import LED
from time import sleep
db = mysql.connector.connect(
host="localhost",
user="User",
passwd="passwd",
database="attendancesystem")
cursor = db.cursor()
identified.
currentname = "unauthorised"
train_model.py
encodingsP = "encodings.pickle"
print("[INFO] loading encodings + face detector...")
data = pickle.loads(open(encodingsP, "rb").read())
to my laptop
vs1 = VideoStream(src=0,framerate=30).start()
time.sleep(2.0)
# loop over frames from the video file stream
while True:
# grab the frame from the threaded video stream and resize it
# to 500px (to speedup processing)
frame = vs1.read()
frame = imutils.resize(frame, width=500)
# Detect the fce boxes
boxes = face_recognition.face_locations(frame)
# compute the facial embeddings for each face bounding box
encodings = face_recognition.face_encodings(frame, boxes)
names = []
# loop over the facial embeddings
for encoding in encodings:
# attempt to match each face in the input image to our known
# encodings
matches = face_recognition.compare_faces(data["encodings"],
encoding)
name = "Unauthorised" #if face is not recognized, then print Unknown
# check to see if we have found a match
if True in matches:
# find the indexes of all matched faces then initialize a
# dictionary to count the total number of times each face
# was matched
matchedIdxs = [i for (i, b) in enumerate(matches) if b]
counts = {}
# loop over the matched indexes and maintain a count for
# each recognized face face
for i in matchedIdxs:
name = data["names"][i]
counts[name] = counts.get(name, 0) + 1
# determine the recognized face with the largest number
# of votes (note: in the event of an unlikely tie Python
# will select first entry in the dictionary)
name = max(counts, key=counts.get)
#If someone in your dataset is identified, print their name on the screen
if currentname != name:
currentname = name
print(currentname)
#results = ("SELECT a_s.Admin_no,a_s.Name,a.clock_in FROM authorised_students a_s JOIN attendance a ON a_s.Admin_no = a.Admin_no")
#cursor.execute(results])
#for x in cursor:/';
# print(x)
t = datetime.now()
time = t.strftime("%H:%M:%S")
date = date.today()
cursor.execute("INSERT INTO Sign_in (admin_no, Date, Clock_in) VALUES (%s,%s,%s)",(currentname,date,time))
db.commit()
while True:
#Buzzer
playsound('/home/pi/Desktop/Sound effects/Signed in.mp3')
#LED
red = LED(17)
red.on()
sleep(3)
red.off()
break
# update the list of names
names.append(name)
# loop over the recognized faces
for ((top, right, bottom, left), name) in zip(boxes, names):
# draw the predicted face name on the image - color is in BGR
cv2.rectangle(frame, (left, top), (right, bottom),
(0, 255, 225), 2)
y = top - 15 if top - 15 > 15 else top + 15
cv2.putText(frame, name, (left, y), cv2.FONT_HERSHEY_SIMPLEX,
.8, (0, 255, 255), 2)
# display the image to our screen
cv2.imshow("Facial Recognition is Running", frame)
key = cv2.waitKey(20) & 0xFF
# quit when 'q' key is pressed
if key == ord("q"):
break
# update the FPS counter
#fps.update()
#hardware interrupt
cv2.destroyAllWindows()
vs1.stop()
内部循环有一个无条件的break
,因此从不重复多次。 外循环没有break
,所以永远不会停止。
第一次运行后,您将值分配给变量currentname
,并且在循环的下一次迭代中, if currentname: = name:
条件将为False
。 尝试在break
语句之前重置 \ 删除 currentname 变量
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