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Apache-2.0

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Answer

答题助手,适用于 百万英雄 / 芝士超人 / 冲顶大会 / 花椒百万赢家 等多个直播答题类 APP,支持 iOS、Android 手机和模拟器,3 秒出结果。

目录

特点

  • 超快的响应速度
  • 支持iOS、Android
  • 支持真机测试和模拟器
  • 全面覆盖百万英雄/芝士超人/冲顶大会/花椒百万赢家等多个直播答题类APP
  • 优化搜索逻辑保证高正确率
  • 多维度参考值,答案交叉验证

更新日志

  • 2018.01.23
    • 把OCR识别方式分离(issues/1
  • 2018.01.21
    • 加入搜狗汪仔答题助手的结果
  • 2018.01.20
    • 改进 ABD 手机截屏获取方式,提高速度
    • 题目和选项一次截取识别
  • 2018.01.18
    • 增加知识图谱结果
  • 2018.01.15
    • 调整适应性,百万英雄/芝士超人/冲顶大会/花椒百万赢家等全适用
  • 2018.01.10
    • 改进算法逻辑,提高正确率

方法原理

  1. ADB 获取手机截屏
  • 命令行生成截屏图片,把图片传输到电脑上
adb shell screencap -p /sdcard/screenshot.png
adb pull /sdcard/screenshot.png .
adb shell screencap -p
  1. OCR 识别题目与选项文字

​ 两个方法:

  • 谷歌 Tesseract ,安装软件即可,不同电脑配置运行效率不同
  • 百度 OCR ,需要注册百度 API,每天调用次数有限
  1. 申请百度OCR

  1. 通过算法对搜索结果进行筛选、判断

    目前用到的算法:

  • 文本关联相似度算法
  • 结巴分词算法

文本关联相似度算法

(参考 github.com/smileboywtu/MillionHeroAssistant

通过分别统计问题与三个答案的关联度来选择正确的答案,在集合相当大的情况下,关联度会呈现正相关。

假设题目是:

中国历史上著名的科举制度开始于那个朝代?

  • 汉朝
  • 唐朝
  • 隋朝

我们先用百度分别搜索汉朝唐朝隋朝,得到如下数据:

朝代 搜索出的数量(来自百度为您找到相关结果约)
汉朝 17900000
唐朝 30500000
隋朝 16600000

然后我们在用题目 + 答案的方式,搜索示例:

中国历史上著名的科举制度开始于那个朝代? 汉朝 得到三次的搜索结果:

关键字 搜索出的数量(来自百度为您找到相关结果约)
Q + 汉朝 602000
Q + 唐朝 837000
Q + 隋朝 658000

关联度计算方式:

K = count(Q & A) / (count(Q) * count(A))

关联度如下:

答案 关联度
汉朝 0.0336
唐朝 0.0274
隋朝 0.0396

使用步骤

Android

1. 安装 ADB

windows

下载地址:https://adb.clockworkmod.com/ ,并配置环境变量

Mac

使用 brew 进行安装 brew cask install android-platform-tools

安装完后插入安卓设备且安卓已打开 USB 调试模式,终端输入 adb devices ,显示设备号则表示成功。我手上的机子是坚果 pro1,第一次不成功,查看设备管理器有叹号,使用 handshaker 加载驱动后成功,也可以使用豌豆荚之类的试试。

List of devices attached
6934dc33    device

若不成功,可以参考Android 和 iOS 操作步骤进行修改

2.安装模拟器

windows

  • 安装夜神模拟器逍遥模拟器,然后在模拟器上安装西瓜视频、冲顶大会等答题APP
  • 把模拟器设置成竖屏(分辨率900*1440),打开 USB 调试模式
  • 确认端口号,夜神模拟器62001,逍遥模拟器21503
  • 连接测试,连接成功会有提示
adb connect 127.0.0.1:62001

3. 安装谷歌 Tesseract

Windows下链接: 推荐使用安装版,在安装时选择增加中文简体语言包

其他系统: https://github.com/tesseract-ocr/tesseract/wiki

iOS

1.安装WDA

iOS 真机如何安装 WebDriverAgent(参考 https://testerhome.com/topics/7220

2.安装tesseract以及简体中文包

Mac

brew install tesseract
cd /usr/local/Cellar/tesseract/{version}/share/tessdata
wget https://github.com/tesseract-ocr/tessdata/raw/master/chi_sim.traineddata

配置 Golang 环境

安装 Golang

https://golang.org/doc/

从源码安装本项目

go get -u github.com/henson/Answer

直接下载可执行文件

根据平台直接下载各版本运行文件: releases

运行

  1. 根据实际情况设置配置文件

配置参数说明:

# 是否开始调试模式
debug: true
# 游戏名称, xigua西瓜视频/cddh冲顶大会/huajiao花椒/zscr芝士超人
app: xigua
# 是否模拟自动答题
automatic: false
# 对应的设备类型:ios or android
device: android
# android 连接地址
adb_address: '127.0.0.1:62001'
# ios 设备连接wda的地址
wda_address: '127.0.0.1:8100'
# 西瓜视频裁剪区域:x,y,w,h
xg_q_x: 30
xg_q_y: 240
xg_q_w: 840
xg_q_h: 180
xg_a_x: 30
xg_a_y: 410
xg_a_w: 840
xg_a_h: 450
……
  1. 填入百度 OCR key

修改参数:

# 百度OCR API参数
Baidu_API_Key: "**************************"
Baidu_Secret_Key: "**************************"
  1. 程序运行:
./Answer

cd cmd
go run main.go

项目参考

本项目在开发过程中参考了以上开源项目,在此对开源作者表示感谢!

TODO

  • 对题目进行分类,建立题型库,针对不同题型采取不同的处理方法
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简介

问答APP自动答题助手,适用于 百万英雄 / 芝士超人 / 冲顶大会 / 花椒百万赢家 等多个直播答题类 APP,支持 iOS、Android 手机和模拟器,3 秒出结果 展开 收起
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