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w.py
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import face_recognition
import cv2
import os
video_capture = cv2.VideoCapture(0)
t_image = face_recognition.load_image_file("03.jpg")
t_image2 = face_recognition.load_image_file("4.jpg")
t_image3 = face_recognition.load_image_file("5.jpg")
#t_image4 = face_recognition.load_image_file("xxxxx.png")
t_face_encoding = face_recognition.face_encodings(t_image)[0]
t_face1_encoding = face_recognition.face_encodings(t_image2)[0]
t_face2_encoding = face_recognition.face_encodings(t_image3)[0]
#t_face3_encoding = face_recognition.face_encodings(t_image4)[0]
known_face_encodings = [
t_face_encoding,t_face1_encoding,t_face2_encoding]
known_face_names = [
'tiplu','tiplu','tiplu'
]
while True:
ret, frame = video_capture.read()
rgb_frame = frame[:, :, ::-1]
face_locations = face_recognition.face_locations(frame)
face_encodings = face_recognition.face_encodings(frame, face_locations)
for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
name = "Unknown"
n=0
if True in matches:
n=0
print("tiplu found")
first_match_index = matches.index(True)
name = known_face_names[first_match_index]
else:
n+=1
if n>10:
os.system('java Client1')
print('not found')
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
#print("USER IN FRAME")
print()
cv2.imshow('Video', frame)
# Hit 'q' on the keyboard to quit!
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()