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中处理XML的教程
Apr 29 Python
浅谈python中的占位符
Nov 09 Python
Python字符串格式化%s%d%f详解
Feb 02 Python
Python多进程并发与多线程并发编程实例总结
Feb 08 Python
Python实现曲线拟合操作示例【基于numpy,scipy,matplotlib库】
Jul 12 Python
python如何求解两数的最大公约数
Sep 27 Python
Python中dict和set的用法讲解
Mar 28 Python
django-利用session机制实现唯一登录的例子
Mar 16 Python
TensorFlow tf.nn.conv2d_transpose是怎样实现反卷积的
Apr 20 Python
结束运行python的方法
Jun 16 Python
python 实现两个npy档案合并
Jul 01 Python
python基于turtle绘制几何图形
Jun 15 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中用header图片地址 简单隐藏图片源地址
2008/04/09 PHP
解析PHP计算页面执行时间的实现代码
2013/06/18 PHP
PHP使用Redis长连接的方法详解
2018/02/12 PHP
Laravel 自带的Auth验证登录方法
2019/09/30 PHP
thinkphp框架无限级栏目的排序功能实现方法示例
2020/03/29 PHP
Thinkphp5框架异常处理操作实例分析
2020/06/03 PHP
Javascript this关键字使用分析
2008/10/21 Javascript
JavaScript 事件属性绑定带参数的函数
2009/03/13 Javascript
javascript 表单验证常见正则
2009/09/28 Javascript
js正则表达exec与match的区别说明
2014/01/29 Javascript
使用AngularJS来实现HTML页面嵌套的方法
2015/06/17 Javascript
js操作table元素实现表格行列新增、删除技巧总结
2015/11/18 Javascript
jQuery-1.9.1源码分析系列(十)事件系统之事件包装
2015/11/20 Javascript
CSS3 media queries结合jQuery实现响应式导航
2016/09/30 Javascript
jquery.Jcrop结合JAVA后台实现图片裁剪上传实例
2016/11/05 Javascript
Bootstrap 模态框实例插件案例分析
2016/12/28 Javascript
vue-router:嵌套路由的使用方法
2017/02/21 Javascript
详解jQuery同步Ajax带来的UI线程阻塞问题及解决办法
2017/08/09 jQuery
一个有意思的鼠标点击文字特效jquery代码
2017/09/23 jQuery
Vue项目中设置背景图片方法
2018/02/21 Javascript
JavaScript的数据类型转换原则(干货)
2018/03/15 Javascript
微信小程序自定义键盘 内部虚拟支付
2018/12/20 Javascript
Vue自定义指令写法与个人理解
2019/02/09 Javascript
详解Django的model查询操作与查询性能优化
2018/10/16 Python
numpy中的ndarray方法和属性详解
2019/05/27 Python
python实现代码统计程序
2019/09/19 Python
Pytorch之view及view_as使用详解
2019/12/31 Python
Python多线程:主线程等待所有子线程结束代码
2020/04/25 Python
CSS3 完美实现圆角效果
2009/07/13 HTML / CSS
马来西亚网上购物平台:ezbuy
2018/02/13 全球购物
彪马西班牙官网:PUMA西班牙
2019/06/18 全球购物
SNIDEL官网:日本VIVI杂志人气少女第一品牌
2020/03/12 全球购物
给民警的表扬信
2014/01/08 职场文书
个人培训自我鉴定
2014/03/28 职场文书
生产操作工岗位职责
2014/09/16 职场文书
2019脱贫攻坚工作总结报告范本!
2019/08/06 职场文书