Source Code:
https://github.com/AmarShaikh/face-re...
import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
import pyodbc
path='trainimg'
images=[]
imgLabel=[]
mylst=os.listdir(path)
for cl in mylst:
curimg=cv2.imread(f'{path}\\{cl}')
images.append(curimg)
imgLabel.append(os.path.splitext(cl)[0])
def findEncodings(images):
encodLst=[]
for img in images:
img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
encode=face_recognition.face_encodings(img)[0]
encodLst.append(encode)
return encodLst
encodlstKnowFaces=findEncodings(images)
def markAttendance2(name,inTime,InDate):
conn = pyodbc.connect('Driver={SQL Server};'
'Server=DESKTOP-1F0T08U;'
'Database=attendancedb;'
'Trusted_Connection=yes;')
cursor = conn.cursor()
sql='''insert into attendancedb.dbo.tbl_attendance (Name,InDate,InTime) values(?, ?, ?)'''
val=(name,InDate,inTime)
cursor.execute(sql,val)
conn.commit()
webcam=cv2.VideoCapture(0)
nm="a"
while True:
success, img=webcam.read()
imgS=cv2.resize(img,(0,0),None,0.25,0.25)
imgS=cv2.cvtColor(imgS,cv2.COLOR_BGR2RGB)
faceCurFrm= face_recognition.face_locations(imgS)
encodeCurFrm=face_recognition.face_encodings(imgS,faceCurFrm)
for encodFace, faseLocation in zip(encodeCurFrm,faceCurFrm):
maches=face_recognition.compare_faces(encodlstKnowFaces,encodFace)
faceDis=face_recognition.face_distance(encodlstKnowFaces,encodFace)
machesIndex=np.argmin(faceDis)
if maches[machesIndex]:
name = imgLabel[machesIndex].upper()
# print(name)
y1,x2,y2,x1=faseLocation
y1,x2,y2,x1 = y1*4,x2*4,y2*4,x1*4
cv2.rectangle(img,(x1,y1),(x2,y2),(0,255,0),3)
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)
crTime=datetime.now().time()
crDate=datetime.now().date()
if name!=nm:
markAttendance2(name,str(crTime),str(crDate))
nm=name
cv2.imshow('Frame',img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
webcam.release()
cv2.destroyAllWindows()
