$ sudo apt-get install python3-tk

#import tkintter
from tkinter import *

#Create window
root = Tk()

#window title
root.title("Ad-hoc Networks Attendance System")

#Create topframe with top side
topframe=Frame(root)
topframe.pack(side=TOP)

#Create bottomframe with bottom side
bottomframe=Frame(root)

#Create leftframe in bottomframe with  left side
leftframe=Frame(bottomframe,bg='black')
leftframe.pack(side=LEFT)

#Create rightframe in bottomframe with right side
rightframe=Frame(bottomframe,padx=50)
rightframe.pack(side=RIGHT)
#Set window geometry width 1210 and height 750 and open position on screen left to 150 and top to 150
root.geometry("1210x750+150+150")
#stable main window on infinity time
root.mainloop()

#Create topframe on root window
topframe=Frame(root)

#create coustom font for my company
my_font=Font(family="Rekha",size=30,weight="bold",slant="italic")
#create label on root window
label=Label(root,text="Ad-hoc Networks Attendance System",font=my_font,foreground="#283142").pack()
#pack topframe on top side
topframe.pack(side=TOP)

def Open_new():
	#import dataset_creator
	#creating blank lists
	known_face_encodings_list=[]
	known_names=[]
	ids=[]
	font=cv2.FONT_HERSHEY_SIMPLEX

	#creating image's directory
	try:
    		cwd=os.getcwd()
    		print(cwd)
    		os.mkdir(cwd+"/dataset_images")
	except:
    		print()
	def image_taker(dir_name,student_id):
		cam=cv2.VideoCapture(0)
		counter=0
		flag=0  
		while cam.isOpened():
			frame=cam.read()[1]
        
			#converting BGR frame to RGB frame
			rgb_frame=frame[:,:,::-1]
        
			#getting locations of faces present
			faces=fr.face_locations(rgb_frame)

			for (top,right,bottom,left) in faces:
            			cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
            
			cv2.putText(frame, "Press 'C' -> capture image\n q -> Quit", (0 , 35), font, 1.0, (255, 255, 255), 2)
			cv2.imshow("live",frame)
			#handler
			if cv2.waitKey(100) & 0xFF==ord('q'):
				if flag==0:
                			#remove if image is not created to avoid any issue
					os.rmdir(dir_name)
				break	
			if cv2.waitKey(100) & 0xFF==ord('c'):
            
				#saving imaegs
				cv2.imwrite(dir_name+"/image,"+str(student_id)+","+str(counter)+".jpg",frame)
				flag=1
				print("captured")
				cv2.destroyAllWindows()
		cam.release()
		cv2.destroyAllWindows()

	#setting up student Id
	choice='yes'
	#getting last student id and creating next id
	try:
		with open("ids.txt",'rb') as file_data:
			labels=pickle.load(file_data)
		student_id=max(labels)+1
	except FileNotFoundError:
		student_id=0


	while(choice=='yes'):
    
		print(student_id)

		student_name=simpledialog.askstring("Input string","Enter student name: ")
		if student_name is None:
			break
    
		#defining directory name where images will be stored
		cwd=os.getcwd()+"/dataset_images/"
		dir_name=cwd+student_name+","+str(student_id)
		#using try to avoid error when directory is already present
		try:
			os.mkdir(dir_name)
			print("check")
			if(M.get() == "check"):
				result=filedialog.askopenfile(initialdir=os.getcwd(),title="Select file",filetypes=(("Attendance files",".jpg"),("all file","*.*")))
				image_path=os.path.abspath(result.name)
				print(image_path)
				counter=0
				flag=0 
				frame=cv2.imread(image_path)
				rgb_frame=frame[:,:,::-1]
				faces=fr.face_locations(rgb_frame)
				for (top,right,bottom,left) in faces:
					cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
				cv2.putText(frame, '''Press 'C' -> capture image
								q -> Quit''', (0 , 35), font, 1.0, (255, 255, 255), 2)
				#cv2.imshow("live",frame)
				#if cv2.waitKey(100) & 0xFF==ord('q'):
				cv2.imwrite(dir_name+"/image,"+str(student_id)+","+str(counter)+".jpg",frame)
				flag=1
				print("captured")
				cv2.destroyAllWindows()
				
			else:
				image_taker(dir_name,student_id)
				print("check")
		except:
			messagebox.showerror("Error","Student name already exits.")
    
		choice=messagebox.askquestion("Input string","Add another:")
		if choice=='yes':
			student_id=student_id+1
	
	dataset_dir_name=os.getcwd()+"/dataset_images"
	folder_names=os.listdir(dataset_dir_name)
	for i in folder_names:
		dir_name=dataset_dir_name+"/"+i
		face_names=os.listdir(dir_name)
		for face_name in face_names:
			image_name=dir_name+"/"+face_name
			print(image_name)

			#loading images using face_recognition library
			known_face= fr.load_image_file(image_name)
			print(known_face)
        
			#getting encodings of faces
			known_face_encoding=fr.face_encodings(known_face)
			if len(known_face_encoding) > 0:
				known_face_encoding=fr.face_encodings(known_face)[0]
			else:
				print("fail")
			student_name=i.split(",")[0]
			student_id_in=int(i.split(",")[1])
        
			#appending encodings,ids, names into lists
			known_face_encodings_list.append(known_face_encoding)
			known_names.append(student_name)
			ids.append(student_id_in)

	print(known_names)
	print(ids)


	#storing data in files using pickle
	with open("encodings.txt",'wb') as file_data:
		pickle.dump(known_face_encodings_list,file_data)

	with open("name.txt",'wb') as file_data:
		pickle.dump(known_names,file_data)

	with open("ids.txt",'wb') as file_data:
		pickle.dump(ids,file_data)

calling image_taker(dir_name,student_id)
 in above code means else part excuted

def start():
   def save_att(student_id,name_student):
   	d=datetime.date.today()
   	ids=[]
   	currentDT = datetime.datetime.now()
   	date=currentDT.strftime("%I:%M:%S")
   	#create csv file with date name
   	file_name=d.strftime("%d_%B"+".csv")
   	try:       
   		with open(file_name,'r+') as file_data:
   			file_data.seek(0)
   			
   			for line in file_data:
   				id,name,state,dt=line.split(",")
   				ids.append(int(id))
   			if student_id not in ids:
   				print("not present")
   				
   				file_data.write(str(student_id)+","+name_student+",p,"+date+"\n")
   				file_data.seek(0)
   				print("marked",name_student,"present")
   
   	except FileNotFoundError:
   		with open(file_name,'w') as file_data:
   			
   			print(date)
   			file_data.write(str(student_id)+","+name_student+",p,"+date+"\n")
   			print("file created")
   #setting font for puttext
   font=cv2.FONT_HERSHEY_SIMPLEX

#laoding data files and storing in lists
   with open("encodings.txt",'rb') as file_data:
   	known_face_encodings=pickle.load(file_data)

   with open("name.txt",'rb') as file_data:
   	known_names=pickle.load(file_data)
   	print(known_names)
   
   with open("ids.txt",'rb') as file_data:
   	student_ids=pickle.load(file_data)
   	print(student_ids)
   if(k.get() == "cameraon"):
   	cameraNumber =simpledialog.askstring("Input string","Camera Number or ip:port")
   	print(cameraNumber)
   	print(type(cameraNumber))
   	if cameraNumber == '0' or cameraNumber == '1':
   		camera=int(cameraNumber)
   		print(camera)
   		cam=cv2.VideoCapture(camera)
   	
   	else:
   		st="http://"+cameraNumber+"/video?x.mjpg"
   		print(st)
   		cam=cv2.VideoCapture(st)
   		
   else:
   	cam=cv2.VideoCapture(0)
   if(h.get() == "check"):
   	playtime =simpledialog.askinteger("Input string","Enter Time in Minutes")
   	capture_duration = playtime*60
   	start_time = time.time()
   	timeplay=int(time.time() - start_time)
   else:
   	timeplay=1
   	capture_duration=2
   while (timeplay < capture_duration):
   	frame=cam.read()[1]
   	
   		

   	#converting BGR frame to RGB frame
   	rgb_frame=frame[:,:,::-1]

   	#gettting face locations
   	face_locations=face_recognition.face_locations(rgb_frame)
   
   	#getting face encodings
   	current_face_encoding=face_recognition.face_encodings(rgb_frame,face_locations)
   
   	for (top,right,bottom,left),face_encoding in zip(face_locations,current_face_encoding):

   	#compariong face with known faces
   		matches=face_recognition.compare_faces(known_face_encodings,face_encoding)
       	#print(matches)
   		name="unknown"
       	
   		if True in matches:
   			#getting index for matched face
   			match_index=matches.index(True)
       	    
   			#getting name of the person
   			name=known_names[match_index]
   			student_id_det=student_ids[match_index]
   			save_att(student_id_det,name)
   		else:
   			continue
   		
   		cv2.rectangle(frame,(left,top),(right,bottom),(0,255,0),1)
   		if(h.get() == "check"):
   			hk=int(time.time() - start_time)
   			cv2.putText(frame,str(hk), (0 , 35), font, 1.0, (255, 255, 255), 2)
   			cv2.putText(frame, name, (left , top), font, 1.0, (255, 255, 255), 2)
   		else:
   			cv2.putText(frame, name, (left , top), font, 1.0, (255, 255, 255), 2)
   	if(h.get() == "check"):
   		timeplay=int(time.time() - start_time)
   		
   	cv2.imshow("Live",frame)  	
   	if cv2.waitKey(1) & 0xFF==ord('q'):
   		break	
   cam.release()
   cv2.destroyAllWindows()