使用opencv python根据图像大小对图像进行网格处理

import cv2
import numpy as np

image = cv2.imread('image.jpg')
height, width, _ = image.shape

grid_size = 10  # 网格大小
grid_gap = 2  # 网格间隔

rows = int(np.ceil(height / (grid_size + grid_gap)))
cols = int(np.ceil(width / (grid_size + grid_gap)))

for row in range(rows):
    for col in range(cols):
        # 计算当前网格的起始坐标
        x = col * (grid_size + grid_gap)
        y = row * (grid_size + grid_gap)
        
        # 提取当前网格的图像块
        grid = image[y:y+grid_size, x:x+grid_size]
        
        # 在当前网格上进行进一步的处理，例如应用滤波器、边缘检测等
        # ...