Python2比较当前图片跟图库哪个图片相似的方法示例


Posted in Python onSeptember 28, 2019

本文实例讲述了Python2比较当前图片跟图库哪个图片相似的方法。分享给大家供大家参考,具体如下:

# -*- coding: utf-8 -*-
'''
Created on 2019年7月22日
'''
from selenium import webdriver
from time import sleep
from PIL import Image
import random
import os
import cv2
import numpy as np
url ="URL"
driver = webdriver.Chrome()
driver.implicitly_wait(10)
driver.maximize_window()
driver.get(url)
sleep(2)
driver.save_screenshot("E:/test/das.png")
p1=r'E:/test/das1.png'
p2=r'E:/test/das2.png'
p3=r'E:/test/das3.png'
p4=r'E:/test/das4.png'
element = driver.find_element_by_id("imgcode")
left = element.location['x']
top = element.location['y']
right = element.location['x'] + element.size['width']
bottom = element.location['y'] + element.size['height']
im1 = Image.open(r'E:/test/das.png')
im1 = im1.crop((left, top, right, bottom))
im1.save(r"E:/test/dascode.png")
img = Image.open("E:/test/dascode.png")
cropped = img.crop((0, 0, 25, 30)) # (left, upper, right, lower)
cropped.save(p1)
cropped = img.crop((25, 0, 50, 30)) # (left, upper, right, lower)
cropped.save(p2)
cropped = img.crop((50, 0, 75, 30)) # (left, upper, right, lower)
cropped.save(p3)
cropped = img.crop((75, 0, 96, 30)) # (left, upper, right, lower)
cropped.save(p4)
def getGray(image_file):
  tmpls=[]
  for h in range(0, image_file.size[1]):#h
    for w in range(0, image_file.size[0]):#w
      tmpls.append( image_file.getpixel((w,h)) )
  return tmpls
def getAvg(ls):#获取平均灰度值
  return sum(ls)/len(ls)
def aHash(fne):
  image_file = Image.open(fne) # 打开
  image_file=image_file.resize((35,35))#重置图片大小我12px X 12px
  image_file=image_file.convert("L")#转256灰度图
  Grayls=getGray(image_file)#灰度集合
  avg=getAvg(Grayls)#灰度平均值
  bitls=''#接收获取0或1
  for h in range(1, image_file.size[1]-1):#h
    for w in range(1, image_file.size[0]-1):#w
      if image_file.getpixel((w,h))>=avg:#像素的值比较平均值 大于记为1 小于记为0
        bitls=bitls+'1'
      else:
        bitls=bitls+'0'
  return bitls
def getMH(i1,i2):
  a=aHash(i1)
  b=aHash(i2)
  dist = 0;
  for i in range(0,len(a)):
    if a[i]==b[i]:
      dist=dist+1
  return dist
def match(a,rootdir):
  list = os.listdir(rootdir) 
  li=[]
  for i in list:
    re=getMH(a,rootdir+"/"+i)
    li.append(re)
  b=str(li.index(max(li))+1)  
  a=li.index(max(li))
  return b,list[a].split(".")[0]
a=match('E:/test/das4.png',"E:/test/pic4")
print a

另附参考的

# -*- coding: utf-8 -*-
'''
Created on 2018年5月17日
'''
from selenium import webdriver
from PIL import Image
import requests
import time
import base64
import base64
import requests
from urllib import urlencode
import json
# requests.packages.urllib3.disable_warnings()
import datetime
from time import strftime
from time import sleep
from PIL import Image
# import pytesseract
from PIL import Image
import os
import cv2
from numpy import average, dot, linalg
import heapq
import collections
from lib.readConfig import Readconfig
conf=Readconfig()
filedir=conf.getConfigValue("filedir")
def getGray(image_file):
  tmpls=[]
  for h in range(0, image_file.size[1]):#h
    for w in range(0, image_file.size[0]):#w
      tmpls.append( image_file.getpixel((w,h)) )
  return tmpls
def getAvg(ls):#获取平均灰度值
  return sum(ls)/len(ls)
def getMH(i1,i2):
  a=getImgHash(i1)
  b=getImgHash(i2)
  dist = 0;
  for i in range(0,len(a)):
    if a[i]==b[i]:
      dist=dist+1
  return dist
def getImgHash(fne):
  image_file = Image.open(fne) # 打开
  image_file=image_file.resize((35,35))#重置图片大小我12px X 12px
  image_file=image_file.convert("L")#转256灰度图
  Grayls=getGray(image_file)#灰度集合
  avg=getAvg(Grayls)#灰度平均值
  bitls=''#接收获取0或1
  for h in range(1, image_file.size[1]-1):#h
    for w in range(1, image_file.size[0]-1):#w
      if image_file.getpixel((w,h))>=avg:#像素的值比较平均值 大于记为1 小于记为0
        bitls=bitls+'1'
      else:
        bitls=bitls+'0'
  return bitls
def match1(a,rootdir):
  list = os.listdir(rootdir) 
  li=[]
  for i in list:
#     print rootdir+"/"+i
    re=getMH(a,rootdir+"/"+i)
    li.append(re)
#   print li
#   print max(li)
  b=str(li.index(max(li))+1)  
  return b
def g_code(pic):
  dic={"1":"2","2":"3","3":"4","4":"5","5":"6","6":"7","7":"8","8":"9",
"9":"a","10":"b","11":"c","12":"d","13":"e","14":"f","15":"g","16":"h",
"17":"i","18":"j","19":"k","20":"m","21":"n","22":"p","23":"q","24":"r",
"25":"s","26":"t","27":"u","28":"v","29":"w","30":"x","31":"y","32":"z"}
  img = Image.open(pic)
  a=img.size[0]
  b=img.size[1]
  p1=filedir+r'eos_tdym/lib/pic/das1.png'
  p2=filedir+r'eos_tdym/lib/pic/das2.png'
  p3=filedir+r'eos_tdym/lib/pic/das3.png'
  p4=filedir+r'eos_tdym/lib/pic/das4.png'
  dir1=filedir+r'eos_tdym/lib/pic/pic1'
  dir2=filedir+r'eos_tdym/lib/pic/pic2'
  dir3=filedir+r'eos_tdym/lib/pic/pic3'
  dir4=filedir+r'eos_tdym/lib/pic/pic4'
  cropped = img.crop((0, 0, 25, 30)) # (left, upper, right, lower)
  cropped.save(p1)
  cropped = img.crop((25, 0, 50, 30)) # (left, upper, right, lower)
  cropped.save(p2)
  cropped = img.crop((50, 0, 75, 30)) # (left, upper, right, lower)
  cropped.save(p3)
  cropped = img.crop((75, 0, 96, 30)) # (left, upper, right, lower)
  cropped.save(p4)
  re1=str(match1(p1,dir1))
  re2=str(match1(p2,dir2))
  re3=str(match1(p3,dir3))
  re4=str(match1(p4,dir4))
  print u"获取到验证码:"+dic[re1]+dic[re2]+dic[re3]+dic[re4]
  return dic[re1],dic[re2],dic[re3],dic[re4]
def g_code1(pic):
  dic={"1":"2","2":"3","3":"4","4":"5","5":"6","6":"7","7":"8","8":"9",
"9":"a","10":"b","11":"c","12":"d","13":"e","14":"f","15":"g","16":"h",
"17":"i","18":"j","19":"k","20":"m","21":"n","22":"p","23":"q","24":"r",
"25":"s","26":"t","27":"u","28":"v","29":"w","30":"x","31":"y","32":"z"}
  img = Image.open(pic)
  a=img.size[0]
  b=img.size[1]
  p1="pic5/das1.png"
  p2="pic5/das2.png"
  p3="pic5/das3.png"
  p4="pic5/das4.png"
  dir1="pic1"
  dir2="pic2"
  dir3="pic3"
  dir4="pic4"
  cropped = img.crop((0, 0, 25, 30)) # (left, upper, right, lower)
  cropped.save(p1)
  cropped = img.crop((25, 0, 50, 30)) # (left, upper, right, lower)
  cropped.save(p2)
  cropped = img.crop((50, 0, 75, 30)) # (left, upper, right, lower)
  cropped.save(p3)
  cropped = img.crop((75, 0, 96, 30)) # (left, upper, right, lower)
  cropped.save(p4)
  re1=match1(p1,dir1)
  re2=match1(p2,dir2)
  re3=match1(p3,dir3)
  re4=match1(p4,dir4)
  print dic[re1]
  print dic[re2]
  print dic[re3]
  print dic[re4]
  return dic[re1],dic[re2],dic[re3],dic[re4]

希望本文所述对大家Python程序设计有所帮助。

Python 相关文章推荐
在Python的Flask框架中实现全文搜索功能
Apr 20 Python
浅谈python中的变量默认是什么类型
Sep 11 Python
浅谈Python类里的__init__方法函数,Python类的构造函数
Dec 10 Python
机器学习python实战之决策树
Nov 01 Python
ubuntu环境下python虚拟环境的安装过程
Jan 07 Python
python使用KNN算法手写体识别
Feb 01 Python
python 列表递归求和、计数、求最大元素的实例
Nov 28 Python
Python地图绘制实操详解
Mar 04 Python
Django使用 Bootstrap 样式修改书籍列表过程解析
Aug 09 Python
tensorflow查看ckpt各节点名称实例
Jan 21 Python
Django 自定义404 500等错误页面的实现
Mar 08 Python
Python3操作YAML文件格式方法解析
Apr 10 Python
python使用opencv实现马赛克效果示例
Sep 28 #Python
python打包成so文件过程解析
Sep 28 #Python
python基于FTP实现文件传输相关功能代码实例
Sep 28 #Python
python网络爬虫 Scrapy中selenium用法详解
Sep 28 #Python
在vscode中配置python环境过程解析
Sep 28 #Python
python爬虫 线程池创建并获取文件代码实例
Sep 28 #Python
python 单线程和异步协程工作方式解析
Sep 28 #Python
You might like
PHP中usort在值相同时改变原始位置问题的解决方法
2011/11/27 PHP
基于curl数据采集之单页面并行采集函数get_htmls的使用
2013/04/28 PHP
解析PHP中一些可能会被忽略的问题
2013/06/21 PHP
解析PHP提交后跳转
2013/06/23 PHP
php类中的$this,static,final,const,self这几个关键字使用方法
2015/12/14 PHP
如何修改Laravel中url()函数生成URL的根地址
2017/08/11 PHP
php爬取天猫和淘宝商品数据
2018/02/23 PHP
用CSS+JS实现的进度条效果效果
2007/06/05 Javascript
获取css样式表内样式的js函数currentStyle(IE),defaultView(FF)
2011/02/14 Javascript
js弹出层之1:JQuery.Boxy (二)
2011/10/06 Javascript
基于jquery封装的一个js分页
2011/11/15 Javascript
Node.js安装教程和NPM包管理器使用详解
2014/08/16 Javascript
解决jQuery ajax请求在IE6中莫名中断的问题
2016/06/20 Javascript
利用jQuery对无序列表排序的简单方法
2016/10/16 Javascript
原生JS实现图片轮播效果
2016/12/26 Javascript
BootStrap selectpicker后台动态绑定数据的方法
2017/07/28 Javascript
javascript 判断用户有没有操作页面
2017/10/17 Javascript
vue生命周期与钩子函数简单示例
2019/03/13 Javascript
解决echarts图表使用v-show控制图表显示不全的问题
2020/07/19 Javascript
python3批量删除豆瓣分组下的好友的实现代码
2016/06/07 Python
python之super的使用小结
2018/08/13 Python
python执行精确的小数计算方法
2019/01/21 Python
Pandas透视表(pivot_table)详解
2019/07/22 Python
关于Python中的向量相加和numpy中的向量相加效率对比
2019/08/26 Python
python画蝴蝶曲线图的实例
2019/11/21 Python
python异常处理、自定义异常、断言原理与用法分析
2020/03/23 Python
金山毒霸系列的笔试题
2013/04/13 面试题
师范大学毕业自我鉴定
2013/11/21 职场文书
老公保证书范文
2014/04/29 职场文书
2014大学生学生会工作总结
2014/12/19 职场文书
大学生助学金感谢信
2015/01/21 职场文书
神农溪导游词
2015/02/11 职场文书
幼儿园秋季开学通知
2015/07/16 职场文书
公司员工培训管理制度
2015/08/04 职场文书
使用Python拟合函数曲线
2022/04/14 Python
MySQL使用IF语句及用case语句对条件并结果进行判断 
2022/09/23 MySQL