切割前图片

\"python3

切割后四个图片

\"python3

代码

#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
 def splitimage(self, rownum=1, colnum=4, dstpath=\"D:\\work\\python36_crawl\\Veriycode\",
     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))
   print(\'开始处理图片切割, 请稍候...\')

   s = os.path.split(img_name)
   if dstpath == \'\':
    dstpath = s[0]
   fn = s[1].split(\'.\')
    name = 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,  name + \'_\' + str(num) + \'.\' + ext)
     file_list.append(newfile)
     img.crop(box).save(os.path.join(dstpath,  name + \'_\' + 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)

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脚本之家。

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