【发布时间】:2021-04-26 19:15:14
【问题描述】:
这是我的代码。当程序看到一张脸时,它必须识别它。我的名称数组从数据库中获取数据。当我需要识别时,我收到以下错误:
Traceback (most recent call last):
File "C:\Users\kolya\OneDrive\Рабочий стол\projectGUI\frecognition2.py", line 56, in <module>
id = names[id]
IndexError: list index out of range
我的代码:
import cv2
import numpy as np
import os
import pyodbc
import datetime
#Database
conn = pyodbc.connect(r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=C:\Users\kolya\OneDrive\Рабочий стол\projectGUI\DatabaseGUI.accdb;')
cursor = conn.cursor()
cursor.execute('SELECT User_Name FROM Students')
names = []
names = cursor.fetchall()
#///////////////////
#Logs
def markAttendance(name):
with open("Attendance.csv", "r+") as f:
names = f.readlines()
if name not in names:
now = datetime.datetime.now()
f.writelines(f'\n{name}, {now}')
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('trainer/trainer.yml')
cascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath);
font = cv2.FONT_HERSHEY_SIMPLEX
id = 0
cam = cv2.VideoCapture(0, cv2.CAP_DSHOW)
cam.set(3, 640) # Ширина
cam.set(4, 480) # Висота
#Мінімальний розмір вікна розпізнавання обличчя
minW = 0.01*cam.get(3)
minH = 0.01*cam.get(4)
while True:
ret, img = cam.read()
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor = 1.1,
minNeighbors = 4,
minSize = (int(minW), int(minH)),
)
for(x,y,w,h) in faces:
cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 2)
id, confidence = recognizer.predict(gray[y:y+h,x:x+w])
if (confidence < 80):
id = names[id]
else:
id = "Unkown"
cv2.putText(img, str(id), (x+5,y-5), font, 1, (255,255,255), 2)
markAttendance(id)
cv2.imshow('Camera',img)
k = cv2.waitKey(10) & 0xff
if k == 27:
break
print("\n [INFO] Exiting Program and cleanup stuff")
cam.release()
cv2.destroyAllWindows()
【问题讨论】:
-
您是否尝试打印
id并查看您尝试访问的索引?错误很明显。id也是个坏名字,它是一个内置函数。 -
能否请您尝试添加一些日志以查看
id的值?
标签: python neural-network face-recognition face-detection opencv-python