用opencv处理一下
pillow也可以,但是试过有时候会把图片自动旋转180°,cv没有这个问题
- import os
- from cv2 import cv2
-
-
- def split_image(src_path, rownum, colnum, file):
- img = cv2.imread(src_path)
- # cv2.imwrite(path, img)
- size = img.shape[0:2]
- w = size[1]
- h = size[0]
- # print(file, w, h)
- # 每行的高度和每列的宽度
- row_height = h // rownum
- col_width = w // rownum
- num = 0
- for i in range(rownum):
- for j in range(colnum):
- # 保存切割好的图片的路径,记得要填上后缀,以及名字要处理一下,可以是
- # src_path.split('.')[0] + '_' + str((i+1)*(j+1)) + '.jpg'
- save_path = ''
- row_start = j * col_width
- row_end = (j+1) * col_width
- col_start = i * row_height
- col_end = (i+1) * row_height
- # print(row_start, row_end, col_start, col_end)
- # cv2图片: [高, 宽]
- child_img = img[col_start:col_end, row_start:row_end]
- cv2.imwrite(save_path, child_img)
-
-
- if __name__ == '__main__':
- # 可以遍历文件夹
- # file_path = r'我是路径(文件夹路径)'
- # for file in file_names:
- # src_path 具体图片路径,包含后缀
- src_path = ''
- row = 4
- col = 4
- split_image(src_path, row, col, file.split('.')[0])
-
原图:
切割后: