切割前图片

切割后四个图片

代码

#coding:utf8import osfrom PIL import Image,ImageDraw,ImageFileimport numpyimport pytesseractimport cv2import imagehashimport collectionsclass 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('.') 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。