python将原图裁剪为固定尺寸小图

import numpy as np
import pandas as pd
import os
import torch as t
import torchvision.transfORMs.functional as ff
from torch.utils.data import Dataset
from PIL import Image
import torchvision.transforms as transforms
import cfg


def center_crop(data, crop_size):
  data = ff.center_crop(data, crop_size)
  return data


def img_crop(img):
  higth, width = img.size
  w = 100
  id = 1
  i = 0
  while (i + w <= higth):
    j = 0
    while (j + w <= width):
      new_img = img.crop((i, j, i + w, j + w))
      rename = r""#小图存放路径
      new_img.save(rename + str(id) + ".png", quality=95)#小图保存
      id += 1
      j += 100
      print(new_img)
    i += 100


if __name__ == "__main__":
  path = r''#待处理图像
  crop_size = [500, 500]#中心裁剪为500X500图像便于后面裁剪小图
  img = Image.open(path)
  print(img)
  img = center_crop(img, crop_size)
  print(img)
  img_crop(img)