要求：将图片裁剪成九宫格，宫格图片位置打乱

思路：

1. 判断该图片长宽是否能被3整除，不能需要对图片进行裁剪（我的是边角裁剪）
2. 双重for循环，根据步长对图片数组进行切片达到裁剪效果
3. random.shuffle()达到图片位置打乱的效果
4. 使用np.concatenate()对图片数组按维拼接

代码：

第三方库

import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
import random
import math

判断函数

def judge(img, n=9):x = int(math.sqrt(n))w, h, _ = img.shapeif w % x:w = (w // x) * xif h % x:h = (h // x) * xreturn w, h 

裁剪拼接函数

def crop_nine(new_image):shape_w, shape_h, _ = new_image.shapepatch_w = shape_w // 3patch_h = shape_h // 3patch = []for w in range(0, shape_w, patch_w):for h in range(0, shape_h, patch_h):patch.append(new_image[w:w+patch_w, h:h+patch_h, :])random.shuffle(patch)img_1 = np.concatenate((patch[0], patch[1], patch[2]), axis=0)img_2 = np.concatenate((patch[3], patch[4], patch[5]), axis=0)img_3 = np.concatenate((patch[6], patch[7], patch[8]), axis=0)img = np.concatenate((img_1, img_2, img_3), axis=1)return img

运行部分：

image_path = "dog.jpg"
img = np.array(Image.open(image_path))
w, h = judge(img)
new_image = img[:w, :h, :]
new_image = crop_nine(new_image)
plt.imshow(new_image)

效果：