切割前图片
切割后四个图片
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('.')
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)