A simple split image interactive python code.

split_image.py

import matplotlib.pyplot as plt
import os
from PIL import Image

folder_name = 'split/'
os.makedirs(folder_name, exist_ok=True)
images = sorted([f for f in os.listdir() if f.endswith('.JPG')])


def resize(img, dirt):
    ori_shape = img.size
    diff = ori_shape[0] - ori_shape[1]
    if diff > 0:
        if dirt in [0, 2]:
            img = img.crop([diff, 0, *ori_shape])
        if dirt in [1, 3]:
            img = img.crop([0  0, ori_shape[0] - diff, ori_shape[1]])
    else:
        diff = -diff
        if dirt in [0, 1]:
            img = img.crop([0, diff, *ori_shape])
        if dirt in [2, 3]:
            img = img.crop([0, 0, ori_shape[0], ori_shape[1] - diff])
    return img.resize([1500, 1500])


def onclick(event, name, img):
    print(event.xdata, event.ydata)
    mid_x = int(event.xdata)
    mid_y = int(event.ydata)
    fullname = folder_name + name + '{}.JPG'

    resize(Image.fromarray(img[:mid_y, :mid_x]), 0).save(fullname.format(0))
    resize(Image.fromarray(img[:mid_y, mid_x:]), 1).save(fullname.format(1))
    resize(Image.fromarray(img[mid_y:, :mid_x]), 2).save(fullname.format(2))
    resize(Image.fromarray(img[mid_y:, mid_x:]), 3).save(fullname.format(3))
    plt.close()


for name in images:
    fig, ax = plt.subplots(figsize=(12, 8), dpi=100)
    img = plt.imread(name)
    cid = fig.canvas.mpl_connect('button_press_event',
                                 lambda event: onclick(event, name[:-4], img))
    plt.imshow(img)
    plt.show()