Python2比较当前图片跟图库哪个图片相似的方法示例

概述Python2比较当前图片跟图库哪个图片相似的方法示例 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&q ...

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 webdriverfrom time import sleepfrom PIL import Imageimport randomimport osimport cv2import numpy as npurl ="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((0,25,30)) # (left,upper,lower)cropped.save(p1)cropped = img.crop((25,50,lower)cropped.save(p2)cropped = img.crop((50,75,lower)cropped.save(p3)cropped = img.crop((75,96,lower)cropped.save(p4)def getGray(image_@R_419_6852@):  tmpls=[]  for h in range(0,image_@R_419_6852@.size[1]):#h    for w in range(0,image_@R_419_6852@.size[0]):#w      tmpls.append( image_@R_419_6852@.getpixel((w,h)) )  return tmplsdef getAvg(ls):#获取平均灰度值  return sum(ls)/len(ls)def aHash(fne):  image_@R_419_6852@ = Image.open(fne) # 打开  image_@R_419_6852@=image_@R_419_6852@.resize((35,35))#重置图片大小我12px X 12px  image_@R_419_6852@=image_@R_419_6852@.convert("L")#转256灰度图  Grayls=getGray(image_@R_419_6852@)#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_@R_419_6852@.size[1]-1):#h    for w in range(1,image_@R_419_6852@.size[0]-1):#w      if image_@R_419_6852@.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 bitlsdef 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 distdef 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 webdriverfrom PIL import Imageimport requestsimport timeimport base64import base64import requestsfrom urllib import urlencodeimport Json# requests.packages.urllib3.disable_warnings()import datetimefrom time import strftimefrom time import sleepfrom PIL import Image# import PyTesseractfrom PIL import Imageimport osimport cv2from numpy import average,dot,linalgimport heapqimport collectionsfrom lib.readConfig import Readconfigconf=Readconfig()@R_419_6852@dir=conf.getConfigValue("@R_419_6852@dir")def getGray(image_@R_419_6852@):  tmpls=[]  for h in range(0,h)) )  return tmplsdef 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 distdef getimgHash(fne):  image_@R_419_6852@ = Image.open(fne) # 打开  image_@R_419_6852@=image_@R_419_6852@.resize((35,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 bitlsdef 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 bdef 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=@R_419_6852@dir+r'eos_tdym/lib/pic/das1.png'  p2=@R_419_6852@dir+r'eos_tdym/lib/pic/das2.png'  p3=@R_419_6852@dir+r'eos_tdym/lib/pic/das3.png'  p4=@R_419_6852@dir+r'eos_tdym/lib/pic/das4.png'  dir1=@R_419_6852@dir+r'eos_tdym/lib/pic/pic1'  dir2=@R_419_6852@dir+r'eos_tdym/lib/pic/pic2'  dir3=@R_419_6852@dir+r'eos_tdym/lib/pic/pic3'  dir4=@R_419_6852@dir+r'eos_tdym/lib/pic/pic4'  cropped = img.crop((0,lower)  cropped.save(p1)  cropped = img.crop((25,lower)  cropped.save(p2)  cropped = img.crop((50,lower)  cropped.save(p3)  cropped = img.crop((75,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","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,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[re4]

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