def recog(self):
name2 = self.name2.get()
name3 = self.name3.get()
emo = self.emotion.get()
result = face_recognition.main(name2, name3, emo)
if result == 2:
tkinter.messagebox.showinfo('Result', 'Unlocked!')
else:
tkinter.messagebox.showinfo('Result', 'Recognition failed:(')
return
def main():
mqttClient.on_connect = on_connect
print("Connecting to " + host)
mqttClient.connect(host, port, 60)
#get returned ID from face_recognition
recognized_id = face_recognition.main()
if recognized_id != "unknown":
mqttClient.publish("toEsp/control/device/3", "on")
mqttClient.publish("fromRPi/log/face", recognized_id)
print("Person regconized: " + recognized_id)
sys.stdout = self.stddirec
output_text_window.pack()
#Trigger the GUI. Light the fuse!
if __name__ == "__main__":
#Face detection
path = 'C:/'
lisdir = os.listdir(path)
flag = 0
for lis in lisdir:
# if users face is in dataset, then the following code will run for authentication
if lis == 'dataset':
face_recognition.main()
flag = 1
if flag != 1:
os.mkdir('C:/dataset')
name = "admin"
path = 'C:/dataset'
cam = cv2.VideoCapture(0)
ret, img = cam.read()
cv2.imwrite(path + "/" + str(name) + ".jpg", img)
cam.release()
cv2.destroyAllWindows()
#GUI
root = tk.Tk()
view = MyFrame(root)
def reconhecimento(self):
face_recognition.main()