app.py

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

video_capture=cv2.VideoCapture(0)

sir_image=face_recognition.load_image_file("photos/sir.jpeg")
sir_encoding=face_recognition.face_encodings(sir_image)[0]

vikas_image=face_recognition.load_image_file("photos/vikas.jpg")
vikas_encoding=face_recognition.face_encodings(vikas_image)[0]

known_face_encoding=[sir_encoding,vikas_encoding]

known_faces_names=["Sarwan Sir","Vikas"]

students=known_faces_names.copy()

face_locations=[]
face_encodings=[]
face_names=[]
s=True



now=datetime.now()
current_date=now.strftime("%Y-%m-%d")


f=open(current_date+'.csv','w+',newline='')
lnwriter=csv.writer(f)

############################
import io
import streamlit as st
bytes_data=None

img_file_buffer=st.camera_input("Take a picture")
if img_file_buffer is not None:
    
    while True:
        _,frame=video_capture.read()
        small_frame=cv2.resize(frame,(0,0),fx=0.25,fy=0.25)
        rgb_small_frame=small_frame[:,:,::-1]
        if s:
            face_locations=face_recognition.face_locations(rgb_small_frame)
            face_encodings = face_recognition.face_encodings(small_frame, face_locations)
            face_names=[]
            for face_encoding in face_encodings:
                matches=face_recognition.compare_faces(known_face_encoding,face_encoding)
                name=""
                face_distance=face_recognition.face_distance(known_face_encoding,face_encoding)
                best_match_index=np.argmin(face_distance)
                if matches[best_match_index]:
                    name=known_faces_names[best_match_index]
    
                face_names.append(name)
                if name in known_faces_names:
                    if name in students:
                        students.remove(name)
                        print(students)
                        current_time=now.strftime("%H-%M-%S")
                        lnwriter.writerow([name,current_time,"Present"])
        cv2.imshow("attendence system",frame)
        if cv2.waitKey(1) & 0xFF==ord('q'):
            break
    video_capture.release()
    cv2.destroyAllWindows()
    f.close()
if bytes_data is None:
     st.stop()