切割前图片
切割后四个图片
代码
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#coding:utf8
import os
from pil import image,imagedraw,imagefile
import numpy
import pytesseract
import cv2
import imagehash
import collections
class pictureidenti:
#rownum：切割行数；colnum：切割列数；dstpath：图片文件路径；img_name：要切割的图片文件
img_name="d:\work\python36_crawl\veriycode\mode_5246.png",):
img = image.open(img_name)
w, h = img.size
if rownum <= h and colnum <= w:
print('original image info: %sx%s, %s, %s' % (w, h, img.format, img.mode))
s = os.path.split(img_name)
if dstpath == '':
dstpath = s[0]
fn = s[1].split('.')
basename = fn[0]
ext = fn[-1]
num = 1
rowheight = h // rownum
colwidth = w // colnum
file_list = []
for r in range(rownum):
index = 0
for c in range(colnum):
# (left, upper, right, lower)
# box = (c * colwidth, r * rowheight, (c + 1) * colwidth, (r + 1) * rowheight)
if index<1:
colwid = colwidth+6
elif index<2:
colwid = colwidth + 1
elif index < 3:
colwid = colwidth
box = (c * colwid, r * rowheight, (c + 1) * colwid, (r + 1) * rowheight)
newfile = os.path.join(dstpath, basename + '_' + str(num) + '.' + ext)
file_list.append(newfile)
img.crop(box).save(os.path.join(dstpath, basename + '_' + str(num) + '.' + ext), ext)
num = num + 1
index+=1
for f in file_list:
print(f)
print('图片切割完毕，共生成 %s 张小图片。' % num)
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以上这篇python3 实现验证码图片切割的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://www.cnblogs.com/shaosks/p/9700610.html