AttendanceProject.py

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

path = 'ImageAttendances'
image = []
classNames =[]
myList = os.listdir(path)
print(myList)
for cl in myList:
    curImg = cv2.imread(f'{path}/{cl}')
    image.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.datetime.now()
            dtString = now.strftime("%H:%M:%S")
            f.writelines(f'\n{name},{dtString}')

encodeListKnown = findEncodings(image)
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)

    faceCurFrame = face_recognition.face_locations(imgS)
    encodesCurFrame = face_recognition.face_encodings(imgS,faceCurFrame)
    for encodeFace,faceLoc in zip(encodesCurFrame,faceCurFrame):
        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
            cv2.rectangle(img,(x1*4,y1*4),(x2*4,y2*4),(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.putText(img,name, (x1, y1-10), cv2.FONT_HERSHEY_DUPLEX, 1, (0,0,250), 2)
            markAttendance(name)

        else:
            name='UNKNOWN'
            print(name)
            y1,x2,y2,x1 = faceLoc
            cv2.rectangle(img,(x1*4,y1*4),(x2*4,y2*4),(255,0,0),2)
            cv2.rectangle(img,(x1,y2-35),(x2,y2),(255,0,0),cv2.FILLED)
            cv2.putText(img,name,(x1+6,y2-6),cv2.FONT_HERSHEY_COMPLEX,1,(255,255,255),2)
            #cv2.putText(img,name, (x1, y1-10), cv2.FONT_HERSHEY_DUPLEX, 1, (0,0,250), 2)
    cv2.imshow('Webcam',img)
    key = cv2.waitKey(1)
    if key ==27:
        break
cap.release()
cv2.destroyAllWindows()