concurrent_approach.py

from pathlib import Path
import multiprocessing
import sys

from PIL import Image, ImageFilter
from PIL import ImageEnhance

import PySimpleGUI as sg

CURRENT_DIR: Path = Path().cwd()
images = CURRENT_DIR.glob("*.jpg")

EXPORT_DIR = CURRENT_DIR / "export"
EXPORT_DIR.mkdir(exist_ok=True)


def enhance_and_export(image_path: Path) -> None:

    im = Image.open(image_path)

    # An enhancement factor of 0.0 results in a full black image a
    # nd an enhancement factor of 1.0 results the same as the original image.
    curr_bright = ImageEnhance.Brightness(im)
    new_bright = 1.1
    img_brightened = curr_bright.enhance(new_bright)

    # An enhancement factor of 0.0 results in a full black 
    # and white image and an enhancement factor of
    # 1.0 results the same as the original image.

    curr_color = ImageEnhance.Color(img_brightened)
    new_color = 2.5
    img_colored = curr_color.enhance(new_color)

    # An enhancement factor of 0.0 results in a full grey image 
    # and an enhancement factor of 1.0 results the same as the original image.
    curr_contrast = ImageEnhance.Contrast(img_colored)
    new_contrast = 0.3
    img_contrasted = curr_contrast.enhance(new_contrast)

    # An enhancement factor of 0.0 results in a blurred image 
    # and an enhancement factor of 1.0 results in the same as 
    # the original image and a factor > 1.0 results in a sharpened image.
    curr_sharp = ImageEnhance.Sharpness(img_colored)  # result
    new_sharp = 8.3
    image_sharpened = curr_sharp.enhance(new_sharp)
    image_sharpened.save(EXPORT_DIR / image_path.name)


def concurrent_picture_enhance(list_of_images: list) -> None:
    print("\n Processing pictures\n..........................................")
    processed_images = []
    pool = multiprocessing.Pool(processes=16)
    for index, element in enumerate(pool.imap(enhance_and_export, list_of_images)):
        processed_images.append(element)
        sys.stderr.write(f'\rdone {index / len(list_of_images) * 100:.0f}%')
        sg.theme('Dark')
        sg.one_line_progress_meter(
            'Flashy mode',
            index + 1, len(list_of_images),
            '-key-', orientation="h",
            bar_color=('orange', 'black'),
            size=(40, 20))
        

if __name__ == "__main__":
    concurrent_picture_enhance(list_of_images=list(images))

img.py

from pathlib import Path

from PIL import Image, ImageFilter
from PIL import ImageEnhance

CURRENT_DIR = Path().cwd()
images = CURRENT_DIR.glob("*.jpg")

EXPORT_DIR = CURRENT_DIR / "export"
EXPORT_DIR.mkdir(exist_ok=True)


def enhance_and_export(image_path):

    im = Image.open(image_path)

    # An enhancement factor of 0.0 results in a full black image a
    # nd an enhancement factor of 1.0 results the same as the original image.
    curr_bright = ImageEnhance.Brightness(im)
    new_bright = 1.1
    img_brightened = curr_bright.enhance(new_bright)

    # An enhancement factor of 0.0 results in a full black and white image and an enhancement factor of 1.0 results the same as the original image.
    curr_color = ImageEnhance.Color(img_brightened)
    new_color = 2.5
    img_colored = curr_color.enhance(new_color)

    # An enhancement factor of 0.0 results in a full grey image and an enhancement factor of 1.0 results the same as the original image.
    curr_contrast = ImageEnhance.Contrast(img_colored)
    new_contrast = 0.3
    img_contrasted = curr_contrast.enhance(new_contrast)

    # An enhancement factor of 0.0 results in a blurred image and an enhancement factor of 1.0 results in the same as the original image and a factor > 1.0 results in a sharpened image.
    curr_sharp = ImageEnhance.Sharpness(img_colored)  # result
    new_sharp = 8.3
    image_sharpened = curr_sharp.enhance(new_sharp)
    image_sharpened.save(EXPORT_DIR / image_path.name)


for image in images:
    enhance_and_export(image)