humpydonkey

import PIL.Image
from PIL import ImageFont
from torchvision.utils import make_grid as torch_make_grid
from torchvision.transforms.functional import pil_to_tensor, to_pil_image
from pathlib import Path
import platform

def make_grid(images: list[PIL.Image.Image | str]):
    if isinstance(images[0], str):
        images = [PIL.Image.open(img) for img in images]

humpydonkey

import itertools
import PIL.Image
import numpy as np

def four_corners_similar(image: PIL.Image.Image):
    pixel_value_diff_tolerance = 40 # tolerance for pixel value difference, 0-255
    discrepancy_threshold = 0.01 # max percentage of pixels that can be different between corners to be considered similar
    corner_image_ratio = 0.06
    crop_size = int(corner_image_ratio * min(image.size))
    # print(crop_size)