DDR爱好者之家 Design By 杰米
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]
更多关于Python相关内容感兴趣的读者可查看本站专题：《Python图片操作技巧总结》、《Python数据结构与算法教程》、《Python Socket编程技巧总结》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》、《Python入门与进阶经典教程》及《Python文件与目录操作技巧汇总》
希望本文所述对大家Python程序设计有所帮助。
DDR爱好者之家 Design By 杰米
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DDR爱好者之家 Design By 杰米
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稳了！魔兽国服回归的3条重磅消息！官宣时间再确认！
昨天有一位朋友在大神群里分享，自己亚服账号被封号之后居然弹出了国服的封号信息对话框。
这里面让他访问的是一个国服的战网网址，com.cn和后面的zh都非常明白地表明这就是国服战网。
而他在复制这个网址并且进行登录之后，确实是网易的网址，也就是我们熟悉的停服之后国服发布的暴雪游戏产品运营到期开放退款的说明。这是一件比较奇怪的事情，因为以前都没有出现这样的情况，现在突然提示跳转到国服战网的网址，是不是说明了简体中文客户端已经开始进行更新了呢？
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