main.py

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


video_capture = cv2.VideoCapture(0)


# load known faces
puneets_image = face_recognition.load_image_file("faces/puneet.jpg")
puneet_encoding = face_recognition.face_encodings(puneets_image)[0]




known_face_encodings = [puneet_encoding]
known_face_names = ["Puneet"]

# list of expected students

students = known_face_names.copy()

face_locations = []
face_encodings = []

# get the current date and time

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

f = open(f"{current_date}.csv", "w+", newline="")
lnwriter = csv.writer(f)

while True:
    _, frame = video_capture.read()
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
    rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)

    # Recognize faces
    face_locations = face_recognition.face_locations(rgb_small_frame)
    face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)

    for face_encoding in face_encodings:
        matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
        face_distance = face_recognition.face_distance(known_face_encodings, face_encoding)
        best_match_index = np.argmin(face_distance)

        if (matches[best_match_index]):
            name = known_face_names[best_match_index]

            # Add the text if a person is present
            if name in known_face_names:
                font = cv2.FONT_HERSHEY_SIMPLEX
                bottomLeftCornerOfText = (10, 100)
                fontScale = 1.5
                fontColor = (255, 0, 0)
                thickness = 3
                linetype = 2
                cv2.putText(frame, name + " Present", bottomLeftCornerOfText, font, fontScale, fontColor, thickness,
                            linetype)


                if name in students:
                    students.remove(name)
                    current_time = now.strftime("%H-%M-%S")
                    lnwriter.writerow([name, current_time])
        else:
            font = cv2.FONT_HERSHEY_SIMPLEX
            bottomLeftCornerOfText = (10, 100)
            fontScale = 1.5
            fontColor = (255, 0, 0)
            thickness = 3
            linetype = 2
            cv2.putText(frame, "Unknown face", bottomLeftCornerOfText, font, fontScale, fontColor, thickness,
                            linetype)


    cv2.imshow("Attendence", frame)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

video_capture.release()
cv2.destroyAllWindows()