Spaces:
Runtime error
Runtime error
File size: 2,139 Bytes
22e0d2f 3657998 17aa4ec 3657998 17aa4ec 3657998 17aa4ec 3657998 17aa4ec 3657998 17aa4ec 3657998 17aa4ec 3657998 9eb9696 17aa4ec 3657998 9eb9696 17aa4ec 9eb9696 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
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()
|