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) |
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