Python 属性错误模块';cv2.cv2';没有属性';视频捕获&x27;
我的项目是一个人脸识别考勤系统。当我在pycharm项目中运行时,为什么会显示错误: attributeerror模块“cv2.cv2”没有“videocapture”属性* 当您运行“我的代码”时,我的项目将自动参与并保存到另一个文件中 我的代码:Python 属性错误模块';cv2.cv2';没有属性';视频捕获&x27;,python,opencv,cmake,face-recognition,dlib,Python,Opencv,Cmake,Face Recognition,Dlib,我的项目是一个人脸识别考勤系统。当我在pycharm项目中运行时,为什么会显示错误: attributeerror模块“cv2.cv2”没有“videocapture”属性* 当您运行“我的代码”时,我的项目将自动参与并保存到另一个文件中 我的代码: import cv2 import numpy as np import face_recognition import os from datetime import datetime # from PIL import ImageGrab
import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
# from PIL import ImageGrab
path = 'Training_images'
images = []
classNames = []
myList = os.listdir(path)
print(myList)
for cl in myList:
curImg = cv2.imread(f'{path}/{cl}')
images.append(curImg)
classNames.append(os.path.splitext(cl)[0])
print(classNames)
def findEncodings(images):
encodeList = []
for img in images:
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
encode = face_recognition.face_encodings(img)[0]
encodeList.append(encode)
return encodeList
def markAttendance(name):
with open('Attendance.csv', 'r+') as f:
myDataList = f.readlines()
nameList = []
for line in myDataList:
entry = line.split(',')
nameList.append(entry[0])
if name not in nameList:
now = datetime.now()
dtString = now.strftime('%H:%M:%S')
f.writelines(f'\n{name},{dtString}')
#### FOR CAPTURING SCREEN RATHER THAN WEBCAM
# def captureScreen(bbox=(300,300,690+300,530+300)):
# capScr = np.array(ImageGrab.grab(bbox))
# capScr = cv2.cvtColor(capScr, cv2.COLOR_RGB2BGR)
# return capScr
encodeListKnown = findEncodings(images)
print('Encoding Complete')
cap = cv2.VideoCapture(0)
while True:
success, img = cap.read()
# img = captureScreen()
imgS = cv2.resize(img, (0, 0), None, 0.25, 0.25)
imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
facesCurFrame = face_recognition.face_locations(imgS)
encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)
for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
# print(faceDis)
matchIndex = np.argmin(faceDis)
if matches[matchIndex]:
name = classNames[matchIndex].upper()
# print(name)
y1, x2, y2, x1 = faceLoc
y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
cv2.rectangle(img, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
cv2.putText(img, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
markAttendance(name)
cv2.imshow('Webcam', img)
cv2.waitKey(1)
有几个地方可能会出问题
- 安装不当
- 工作目录中名为cv2的文件
pip3 install opencv-python
在windows上:
python -m pip install opencv-python
安装后,通过运行下面的python命令检查它是否已正确安装
import cv2
print(cv2.__file__)
这将显示库指向的位置
另外,确保在同一工作目录中没有任何名为cv2的文件,否则python解释器将加载该文件而不是opencv库