Handy script to cleanse a exif data from an image, writing to a new file to avoid any missed properties

scrub_exif.py

from PIL import Image
import os
import math
import multiprocessing
import threading

cpu_strength = int(math.ceil(multiprocessing.cpu_count() / 2))
if cpu_strength == 0: cpu_strength = 1

img_path = str(input(
    'please input path to image or folder containing images: (default="current directory") ') or '.')
suffix = str(input('cleaned file suffix: (default="_clean")') or "_clean")

accepted_exts = ['.jpg', '.jpeg', '.webp', '.png']

def scrub(path):
    fn = os.path.split(path)[-1]
    dir = os.path.abspath(os.path.join(path, os.pardir))
    img = Image.open(os.path.join(dir, fn))
    img_contents = list(img.getdata())
    clean_image = Image.new(img.mode, img.size)
    clean_image.putdata(img_contents)
    filename = set_filename(fn)
    clean_image.save(os.path.join(dir, filename))
    print(f'Cleaned Image Saved to {os.path.join(dir, filename)}')

def set_filename(path):
    p_list = list(os.path.splitext(path))
    p_list.insert((len(p_list) - 1), suffix)
    return ''.join(p_list)

if os.path.isfile(img_path) and os.path.splitext(img_path)[1] in accepted_exts:
    path = os.path.abspath(img_path)
    scrub(path)

if os.path.isdir(img_path):
    dir = os.path.abspath(img_path)
    files = []
    threads = []
    for path in os.scandir(dir):
        if path.is_file() and os.path.splitext(path.name)[1] in accepted_exts:
            files.append(os.path.abspath(path))
    for i in range(len(files)):
        t = threading.Thread(target=scrub, args=(files[i],))
        threads.append(t)
    for thread in threads:
        thread.start()
        thread.join()