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()

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

# Create and open the CSV file
f = open(current_date + '.csv', 'w+', newline='')
lnwriter = csv.writer(f)

# Initialize variables
face_locations = []
face_encodings = []
face_names = []
s = True

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("attendance system", frame)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the video capture and close the CSV file
video_capture.release()
cv2.destroyAllWindows()
f.close()