How to save a file to a certain directory

Question

I am trying to save a picture to a folder in a directory. I have a button in tkinter that has a command that takes a picture of a camera output. I need to be able to save that picture in a specific file so that my facial recognition can train on them. I cant figure out how to have the image save to the folder. Any help is greatly appreciated.

CODE:

    from tkinter import *
from tkinter import filedialog
import cv2 as cv
import sys
from PIL import Image, ImageTk
import numpy as np
from PIL import Image, ImageTk
import os
import datetime
from socket import *

# stuff
root = Tk()
root.title('Real-Time Facial Detection/Recognition')
root.geometry('1400x700')
root.configure(bg='gray15')
root.resizable(0, 0)
global img
global test123

# button functions

def detect_on():
    global img
    global test123
    test123 = 2
    while test123 == 2:
        haar_cascade = cv.CascadeClassifier('haar_face.xml')
        img = cam.read()[1]
        faces_rect = haar_cascade.detectMultiScale(img, scaleFactor=1.1, minNeighbors=10)

        for (x,y,w,h) in faces_rect:
            img = cv.rectangle(img, (x,y), (x+w,y+h), (0,255,0), thickness=2)

        img = cv.cvtColor(img, cv.COLOR_BGR2RGB)
        img = ImageTk.PhotoImage(Image.fromarray(img))
        L1['image'] = img
        root.update()

def detect_off():
    global img
    global test123
    test123 = 1
    img = cam.read()[1]
    img = cv.cvtColor(img, cv.COLOR_BGR2RGB)
    img = ImageTk.PhotoImage(Image.fromarray(img))
    L1['image'] = img
    root.update()

def recog_on():
    global img
    global test123
    global name_gotten
    name_gotten = name_box.get()
    test123 = 3
    while test123 == 3:
        haar_cascade = cv.CascadeClassifier('haar_face.xml')

        people = ['Henry']

        face_recognizer = cv.face.LBPHFaceRecognizer_create()
        face_recognizer.read('face-trained2.yml')

        img = cam.read()[1]
        gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)

        # detect the face
        if True:
            faces_rect = haar_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=10)

            for (x,y,w,h) in faces_rect:
                faces_roi = gray[y:y+h, x:x+w]

                label, confidence = face_recognizer.predict(faces_roi)
                print(f'Label = {people[label]} with a confidence of {confidence}')

                cv.putText(img, str(people[label]), (x+2,y+h-5), cv.FONT_HERSHEY_SIMPLEX, 0.8, (0,0,255), thickness=2)
                cv.rectangle(img, (x-5,y-5), (x+w,y+h),(0,255,0), thickness=2)

            img = cv.cvtColor(img, cv.COLOR_BGR2RGB)
            img = ImageTk.PhotoImage(Image.fromarray(img))
            L1['image'] = img
            root.update()

def recog_off():
    global img
    global test123
    test123 = 1
    img = cam.read()[1]
    img = cv.cvtColor(img, cv.COLOR_BGR2RGB)
    img = ImageTk.PhotoImage(Image.fromarray(img))
    L1['image'] = img
    root.update()

def take_picture():
    name_gotten = name_box.get()
    directory = f'{name_gotten}'
    parent_dir = 'C:/OCV/real-time-FR'
    path = os.path.join(parent_dir, directory)
    os.mkdir(path)




    image1 = Image.fromarray(img1)
    time = str(datetime.datetime.now().today())
    time2 = time.replace(':',' ') + '.jpg'
    image1.save(f'{path}', time2)

def name_get():
    global name_gotten
    name_gotten = name_box.get()
    print(name_gotten)
    print(type(name_gotten))

# buttons
Face_detect_on = Button(root, text='Start FD', padx=75, pady=25, bg='black', fg='white', font=('Calibri', 30, 'bold'), borderwidth=0, command=detect_on)
Face_detect_on.place(x=35, y=180)

Face_detect_off = Button(root, text='Stop FD', padx=75, pady=25, bg='black', fg='white', font=('Calibri', 30, 'bold'), borderwidth=0, command=detect_off)
Face_detect_off.place(x=35, y=380)

# FR buttons
Face_recog_on = Button(root, text='Start FR', padx=75, pady=25, bg='black', fg='white', font=('Calibri', 30, 'bold'), borderwidth=0, command=recog_on)
Face_recog_on.place(x=1060, y=180)

Face_recog_off = Button(root, text='Stop FR', padx=75, pady=25, bg='black', fg='white', font=('Calibri', 30, 'bold'), borderwidth=0, command=recog_off)
Face_recog_off.place(x=1060, y=380)

picture = Button(root, text='Picture', padx=50, pady=25, bg='black', fg='white', font=('Calibri', 15, 'bold'), borderwidth=0, command=take_picture)
picture.place(x=1060, y=430)

name_text = Label(root, text='Name:', bg='black', fg='white', font=('Calibri', 11, 'bold'))
name_text.place(x=1055, y=332)

name_enter = Button(root, text='Enter', bg='black', fg='white', font=('Calibri', 11, 'bold'), borderwidth=0, command=name_get)
name_enter.place(x=1276, y=330)

name_box = Entry(root, bg='black', width=17, fg='white', font=('Calibri', 15, 'bold'), borderwidth=0)
name_box.place(x=1103, y=331)

Label(root, text='Camera Output', font=('Calibri', 50, 'bold'), bg='gray15', fg='white').pack()
f1 = LabelFrame(root, bg='white')
f1.pack()
L1 = Label(f1, bg='white')
L1.pack()
test123 = 1
cam = cv.VideoCapture(0)

while test123 == 1:
    global img
    img = cam.read()[1]
    img1 = cv.cvtColor(img, cv.COLOR_BGR2RGB)
    img = ImageTk.PhotoImage(Image.fromarray(img1))
    L1['image'] = img
    root.update()

root.mainloop()

I am having with the last couple lines. Plz help ERROR:

    Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Python37\lib\tkinter\__init__.py", line 1884, in __call__
    return self.func(*args)
  File "C:\OCV\real-time FR\testforrealtimefd.py", line 108, in take_picture
    image1.save(time2, f'{path}')
  File "C:\Python37\lib\site-packages\PIL\Image.py", line 2153, in save
    save_handler = SAVE[format.upper()]
KeyError: 'C:/OCV/REAL-TIME FR\\TEST #1'