Pillow atsakymai

1

from PIL import Image

im = Image.open("logo.png")
box = (0, 28, 128, 100)
region = im.crop(box)
region.save('logo_cropped.png')

2

from PIL import Image, ImageEnhance
import os

def enhance_image(pic, contrast, color, sharpness, brightness, save=False):
    im = Image.open(pic)
    enh = ImageEnhance.Contrast(im)
    im = enh.enhance(contrast)
    enh = ImageEnhance.Color(im)
    im = enh.enhance(color)
    enh = ImageEnhance.Brightness(im)
    im = enh.enhance(brightness)
    enh = ImageEnhance.Sharpness(im)
    im = enh.enhance(sharpness)
    if save:
        loc = os.path.splitext(pic)[0]
        ext = os.path.splitext(pic)[1]
        im.save(f'{loc}_modified{ext}')
    im.show()

enhance_image('dog.jpg', 2, 0, 5, 1, True)

3

from PIL import Image, ImageEnhance
import os


def get_list(folder):
    files = os.listdir(folder)
    images = []
    for file in files:
        if file.endswith((".jpg", ".png")):
            images.append(file)
    return images


def pic_resize(pic, height):
    width = round(pic.size[1] / pic.size[0] * height)
    pic = pic.resize((height, width))
    return pic


def optimize_images(folder, height):
    try:
        os.mkdir(f"{folder}\optimized")
    except:
        print("Toks katalogas jau yra")
    logo = Image.open("logo_cropped.png")
    for image in get_list(folder):
        pic = Image.open(f"{folder}\{image}")
        pic = pic_resize(pic, height)
        logo_location = (pic.size[0] - logo.size[0], pic.size[1] - logo.size[1], pic.size[0], pic.size[1])
        pic.paste(logo, logo_location, logo)
        filename = os.path.splitext(image)[0]
        extension = os.path.splitext(image)[1]
        pic.save(f"{folder}\optimized\{filename}_optimized{extension}")

4

from PIL import Image

def ribos(sk):
    if sk < 0:
        return 0
    elif sk > 255:
        return 255
    return sk


def adjust_colors(img, r, g, b):
    img = Image.open(img)
    data = img.getdata()
    new_data = []
    for pixel in data:
        red = ribos(pixel[0] + r)
        green = ribos(pixel[1] + g)
        blue = ribos(pixel[2] + b)
        new_pixel = (red, green, blue)
        new_data.append(new_pixel)
    
    img.putdata(new_data)
    return img

new_img = adjust_colors('dog.jpg', 0, 0 , +80)
new_img.show()

5

from PIL import Image

def turn_binary(img, r, g, b):
    img = Image.open(img)
    data = img.getdata()
    new_data = []
    black = 0, 0, 0
    white = 255, 255, 255
    for pixel in data:
        if pixel[0] >= r or pixel[1] >= g or pixel[2] >= b:
            new_data.append(white)
        else:
            new_data.append(black)
    img.putdata(new_data)
    return img

image = turn_binary('dog.jpg', 255, 255, 8)
image.show()