AttendanceProject.py

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

path = 'Image_attendance'
images = []
classNames = []
myList = os.listdir(path)
print('Start')
for cl in myList:
    curImg = cv2.imread(f'{path}/{cl}')
    images.append(curImg)
    classNames.append(os.path.splitext(cl)[0])
    
def findEncodings(images):
    encodeList = []
    for img in images:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        encoded_face = face_recognition.face_encodings(img)[0]
        encodeList.append(encoded_face)
    return encodeList
encoded_face_train = findEncodings(images)

def markAttendance(name):
    with open('Attendance1.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()
            time = now.strftime('%I:%M:%S:%p')
            date = now.strftime('%d-%B-%Y')
            f.writelines(f'\n{name}, {time}, {date}')

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)
    encodedCurfaces = face_recognition.face_encodings(imgS, facesCurframe)

    for encoded_Face, faceLoc in zip(encodedCurfaces,facesCurframe):
        matches = face_recognition.compare_faces(encoded_face_train, encoded_Face)
        faceDis = face_recognition.face_distance(encoded_face_train, encoded_Face)
        #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,y2-5), cv2.FONT_HERSHEY_COMPLEX,1,(255,255,255),2)
            markAttendance(name)
        else:
            markAttendance('Unknown')
    
    cv2.imshow('Webcam',img)
    if cv2.waitKey(5):
        break