AttendanceProject.py

import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime

# from PIL import ImageGrab

path = 'ImagesAttendance'
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}')


# 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()
     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)
         matchIndex = np.argmin(faceDis)

         if  faceDis[matchIndex]< 0.50:
              name = classNames[matchIndex].upper()
              markAttendance(name)
         else: name='Unknown'
         #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)


     cv2.imshow("Webcam",img)
     cv2.waitKey(1)