AttendanceProject.py

import os
import cv2
import numpy as np
import face_recognition
from datetime import datetime
path='ImagesAttendence'
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 findencoding(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 markattendence(name):
    with open('Attendence.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}')



encodeListknown=findencoding(images)
print('Encoding Complete')

cap=cv2.VideoCapture(0)

while True:
    success, img=cap.read()
    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)
            markattendence(name)


    cv2.imshow('webcam',img)
    cv2.waitKey(1)