亚洲乱码中文字幕综合,中国熟女仑乱hd,亚洲精品乱拍国产一区二区三区,一本大道卡一卡二卡三乱码全集资源,又粗又黄又硬又爽的免费视频

python破解bilibili滑動(dòng)驗(yàn)證碼登錄功能

 更新時(shí)間:2019年09月11日 10:51:40   作者:邪惡馬克思  
這篇文章主要介紹了python破解bilibili滑動(dòng)驗(yàn)證碼登錄功能,本文給大家介紹的非常詳細(xì),具有一定的參考借鑒價(jià)值,需要的朋友可以參考下

地址:https://passport.bilibili.com/login

左圖事完整驗(yàn)證碼圖,右圖是有缺口的驗(yàn)證碼圖

                                                                    

步驟:

1.準(zhǔn)備bilibili賬號(hào)

2.工具:pycharm selenium chromedriver PIL

3.破解思路:

找到完整驗(yàn)證碼和有缺口的驗(yàn)證碼圖片,然后計(jì)算缺口坐標(biāo),再利用selenium移動(dòng)按鈕到指定位置,齊活

步驟代碼如下:

先導(dǎo)入需要的包和庫(kù)

from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver import ActionChains
from urllib.request import urlretrieve
from bs4 import BeautifulSoup
from lxml.html import etree
import re,requests
from PIL import Image
from time import sleep
from .config import username,password
class Jiyan_test:
  def __init__(self):
    self.url='https://passport.bilibili.com/login'
    self.brower=webdriver.Chrome('chromedriver')
    self.wait=WebDriverWait(self.brower,20)#設(shè)置等待
 
  def login(self):
    self.brower.get(self.url)
    self.user=self.wait.until(EC.presence_of_element_located((By.ID,'login-username')))
    self.passwd=self.wait.until(EC.presence_of_element_located((By.ID,'login-passwd')))
    self.user.send_keys(username)
    self.passwd.send_keys(password)
  def get_images(self):#獲取驗(yàn)證碼圖片
    # print(self.brower.page_source)
    full_position=[]#完整散圖坐標(biāo)
    bg_position=[]#缺口散圖坐標(biāo)
    html=etree.HTML(self.brower.page_source)
    gt_cut_fullbg_slices=html.xpath('//div[@class="gt_cut_fullbg_slice"]/@style')
    full_slice_url=re.findall('url\(\"(.*)\"\);',gt_cut_fullbg_slices[0])[0].replace('webp','jpg')
    gt_cut_bg_slices = html.xpath('//div[@class="gt_cut_bg_slice"]/@style')
    bg_slice_url = re.findall('url\(\"(.*)\"\);', gt_cut_bg_slices[0])[0].replace('webp', 'jpg')
    print(gt_cut_fullbg_slices)
    for i in gt_cut_fullbg_slices:
      position=re.findall('background-position: (.*);',i)[0].replace('px','').split(' ')
      position=[int(i) for i in position]
      full_position.append(position)
    for i in gt_cut_fullbg_slices:
      position = re.findall('background-position: (.*);', i)[0].replace('px','').split(' ')
      position=[int(i) for i in position]
      bg_position.append(position)
    print(full_position)
    print(bg_position)
    print(full_slice_url)
    print(bg_slice_url)
    full_pic_data=requests.get(full_slice_url).content
    bg_pic_data=requests.get(bg_slice_url).content
    with open('image/full_pic.jpg','wb') as f:
      f.write(full_pic_data)
    with open('image/bg_pic.jpg', 'wb') as f:
      f.write(bg_pic_data)
    full_image=Image.open('image/full_pic.jpg')
    bg_image=Image.open('image/bg_pic.jpg')
    return full_image,bg_image,full_position,bg_position

分割圖片 

def pic_cut(self,file,position):#分割圖片
    first_line_pic=[]
    second_line_pic=[]
    # full_image, bg_image, full_position, bg_position=self.get_images()
    for p in position:
      if p[1]==-58:
        first_line_pic.append(file.crop((abs(p[0]),58,abs(p[0])+10,166)))
      if p[1]==0:
        second_line_pic.append(file.crop((abs(p[0]),0,abs(p[0])+10,58)))
    print(first_line_pic)
    print(second_line_pic)
    return first_line_pic,second_line_pic

合并圖片

   

 def merge_pics_new(self,first_line_pic,second_line_pic,file_name):
    #新建圖片
    image=Image.new('RGB',(260,116))
    offset=0#設(shè)置偏移量
    #拼接第一行
    for i in first_line_pic:
      image.paste(i,(offset,0))
      offset+=i.size[0]
    offset_x=0
    #拼接第二行
    for j in second_line_pic:
      image.paste(j,(offset_x,58))
      offset_x+=j.size[0]
    image.save('image/'+file_name)#合成完整圖片
 
  def merge_pics(self):#合并圖片
    #先割切亂碼圖片
    full_image, bg_image, full_position, bg_position=self.get_images()
    first_line_pic, second_line_pic=self.pic_cut(full_image,full_position)
    self.merge_pics_new(first_line_pic, second_line_pic,'full_new_pic.jpg')
    first_line_pic, second_line_pic = self.pic_cut(bg_image, bg_position)
    self.merge_pics_new(first_line_pic, second_line_pic, 'bg_new_pic.jpg')

再判斷圖片是否一樣

  def check_pics_is_same(self,bg_image,full_image,x,y):#判斷圖片是否一樣
    bg_pixel=bg_image.getpixel((x,y))
    full_pixel=full_image.getpixel((x,y))
    for i in range(0,3):
      if abs(bg_pixel[i]-full_pixel[i])>=50:
        return False
      else:
        return True

計(jì)算滑塊距離

   

def reckon_distance2(self):#計(jì)算滑塊
    try:
      full_image = Image.open('image/full_new_pic.jpg')
      bg_image = Image.open('image/bg_new_pic.jpg')
      for i in range(0,full_image.size[0]):
        for j in range(0,full_image.size[1]):
          if not self.check_pics_is_same(bg_image,full_image,i,j):
            return i
    except Exception:
      print('圖片讀取失敗')

計(jì)算運(yùn)動(dòng)軌跡

    

def reckon_trail(self):#計(jì)算運(yùn)動(dòng)軌跡
    print('計(jì)算運(yùn)動(dòng)軌跡')
    track=[]
    distance=self.reckon_distance2()
    distance=int(distance)-7#矯正值
    print('缺口坐標(biāo)',distance)
    fast_distance=distance*(4/5)
    start,v0,t=0,0,0.2
    while start<distance:
      if start<fast_distance:#加速狀態(tài)
        a=1.5#加速
      else:
        a=-3#減速
      #數(shù)學(xué)公式 s=v0*t+1/2 v*t平方
      move=v0*t+1/2*a*t*t
      #當(dāng)前速度
      v=v0+a*t
      #重置粗速度
      v0=v
      #重置起始位置
      start+=move
      track.append(round(move))
    return track

 

模擬拖動(dòng)

def move_block(self):# 模擬拖動(dòng)滑塊
    print('開(kāi)始模擬')
    track=self.reckon_trail()
    #找尋滑塊標(biāo)簽
    slider=self.wait.until(EC.presence_of_element_located((By.CLASS_NAME,'gt_slider_knob')))
    ActionChains(self.brower).click_and_hold(slider).perform()#執(zhí)行
    for x in track:
      ActionChains(self.brower).move_by_offset(xoffset=x,yoffset=0).perform()
    sleep(0.4)
    ActionChains(self.brower).release().perform()#釋放滑塊
 
if __name__ == '__main__':
  c=Jiyan_test()
  c.login()
  c.merge_pics()
  c.move_block()

測(cè)試運(yùn)行正常,偶爾有對(duì)不準(zhǔn)的現(xiàn)象,需要調(diào)整distance的值

總結(jié)

以上所述是小編給大家介紹的python破解bilibili滑動(dòng)驗(yàn)證碼登錄功能,希望對(duì)大家有所幫助,如果大家有任何疑問(wèn)請(qǐng)給我留言,小編會(huì)及時(shí)回復(fù)大家的。在此也非常感謝大家對(duì)腳本之家網(wǎng)站的支持!
如果你覺(jué)得本文對(duì)你有幫助,歡迎轉(zhuǎn)載,煩請(qǐng)注明出處,謝謝!

相關(guān)文章

最新評(píng)論