python3.5+tesseract+adb实现西瓜视频或头脑王者辅助答题，python3.5tesseract
python3.5+tesseract+adb实现西瓜视频或头脑王者辅助答题，python3.5tesseract
最近的答题赢钱很火爆，我也参与了几次，有些题目确实很难答，但是10秒钟的时间根本不够百度的，所以写了个辅助挂，这样可以出现题目时自动百度，这个时间也就花掉2秒钟，剩下的7、8秒钟可以进行分析和作答，提升了赢钱概率。
源码可以见我的github：点击链接
原理分析下：使用adb命令，抓取手机视频播放的界面，然后通过python的截取和ocr，获得到题目和答案, 然后百度得到结果。这个环境怎么搭建，有需要的童鞋可以联系我，因为使用本地的ocr所以解析不花钱，也没有使用的限制。
github上的代码中
ocr_bw.py，这个是自动根据题目去百度，然后打开浏览器，展示检索结果
# -*- coding: utf-8 -*-
import pytesseract
import time
import webbrowser
import subprocess
from PIL import Image
def main():
"""
主函数
"""
op = yes_or_no('请确保手机打开了 ADB 并连接了电脑，'
'然后打开西瓜视频后再用本程序，确定开始？')
if not op:
print('bye')
return
#核心递归
ocr_subject_parent()
# for root, sub_dirs, files in os.walk('E:/临时接收的文件/知乎答题/百万/'):
# for file in files:
# print('发现图片:' + file)
# img = Image.open('E:/临时接收的文件/知乎答题/百万/'+file)
# ocr_subject(img)
def yes_or_no(prompt, true_value='y', false_value='n', default=True):
"""
检查是否已经为启动程序做好了准备
"""
default_value = true_value if default else false_value
prompt = '{} {}/{} [{}]: '.format(prompt, true_value,
false_value, default_value)
i = input(prompt)
if not i:
return default
while True:
if i == true_value:
return True
elif i == false_value:
return False
prompt = 'Please input {} or {}: '.format(true_value, false_value)
i = input(prompt)
def screenImg(true_value='', default=True):
prompt = '当出现题目时，请按下回车进行识别 '
i = input(prompt)
if not i:
return default
while True:
if i == true_value:
return True
else:
return False
i = input(prompt)
def ocr_subject(p):
# 截取 距离上530开始 940结束
# 截取 距离上260 570结束
p = cut_img(p)
pytesseract.pytesseract.tesseract_cmd = 'E:/Program Files (x86)/Tesseract-OCR/tesseract'
subject = pytesseract.image_to_string(p, lang='chi_sim')
subject = "".join(subject.split())
subject = subject.split('.')[1]
print(subject)
openPage(subject)
ocr_subject_parent()
def ocr_subject_parent():
result = screenImg()
if result:
start = time.time()
# screenshot.check_screenshot()
process = subprocess.Popen(
'adb shell screencap -p',
shell=True, stdout=subprocess.PIPE)
binary_screenshot = process.stdout.read()
binary_screenshot = binary_screenshot.replace(b'\r\n', b'\n')
f = open('autojump.png', 'wb')
f.write(binary_screenshot)
f.close()
# screenshot.pull_screenshot()
img = Image.open('autojump.png')
print("耗时:" + str(time.time() - start))
ocr_subject(img)
def openPage(subject):
url = 'https://www.baidu.com/s?wd={}'.format(
subject)
webbrowser.open(url)
webbrowser.get()
def cut_img(img):
region = img.crop((70, 260, 1025, 570))
#region.save("temp/cut_first.png")
return region
if __name__ == '__main__':
main()
ocr_bw2.py,这个是根据题目+答案，去百度检索，通过爬虫抓取百度的收录数，然后在控制台打印结果
__author__ = 'zjy'
# -*- coding:utf-8 -*-
import pytesseract
import time
import webbrowser
import subprocess
from PIL import Image
import urllib
import urllib.request
import threading
from urllib.parse import quote
def main():
"""
主函数
"""
op = yes_or_no('请确保手机打开了 ADB 并连接了电脑，'
'然后打开西瓜视频后再用本程序，确定开始？')
if not op:
print('bye')
return
# 核心递归
ocr_subject_parent()
# for root, sub_dirs, files in os.walk('E:/临时接收的文件/知乎答题/百万/'):
# for file in files:
# print('发现图片:' + file)
# img = Image.open('E:/临时接收的文件/知乎答题/百万/'+file)
# ocr_subject(img)
def yes_or_no(prompt, true_value='y', false_value='n', default=True):
"""
检查是否已经为启动程序做好了准备
"""
default_value = true_value if default else false_value
prompt = '{} {}/{} [{}]: '.format(prompt, true_value,
false_value, default_value)
i = input(prompt)
if not i:
return default
while True:
if i == true_value:
return True
elif i == false_value:
return False
prompt = 'Please input {} or {}: '.format(true_value, false_value)
i = input(prompt)
def screenImg(true_value='', default=True):
prompt = '当出现题目时，请按下回车进行识别 \n'
i = input(prompt)
if not i:
return default
while True:
if i == true_value:
return True
else:
return False
i = input(prompt)
def ocr_subject(p):
# 截取 距离上530开始 940结束
# 截取 距离上260 570结束
subImg = cut_img(p)
pytesseract.pytesseract.tesseract_cmd = 'E:/Program Files (x86)/Tesseract-OCR/tesseract'
subject = pytesseract.image_to_string(subImg, lang='chi_sim')
subject = "".join(subject.split())
subject = subject.split('.')[1].replace("\"", "")
print(subject)
ocr_answer(p, subject)
# openPage(subject)
# print("结束:" + str(time.time()))
ocr_subject_parent()
def getSearchNum(key):
key = quote(key)
# print(key)
url = 'http://www.baidu.com/s?wd={}'.format(key)
# print(url)
response = urllib.request.urlopen(url)
page = response.read().decode("utf-8")
i = int(page.index('百度为您找到相关结果约'))
start = i + 10
end = i + 25
page = page[start: end]
return page
def ocr_answer(p, subject):
list = cut_question(p)
pytesseract.pytesseract.tesseract_cmd = 'E:/Program Files (x86)/Tesseract-OCR/tesseract'
for p in list:
t = threading.Thread(target=ocr_answer_thread, args=(p, subject))
t.start()
def ocr_answer_thread(p, subject):
answer = pytesseract.image_to_string(p, lang='chi_sim')
answer = "".join(answer.split())
v = getSearchNum(subject + ' ' + answer)
print(answer + ' ' + v)
# print(time.time())
def ocr_subject_parent():
result = screenImg()
if result:
start = time.time()
# print("开始:" + str(start))
# screenshot.check_screenshot()
process = subprocess.Popen(
'adb shell screencap -p',
shell=True, stdout=subprocess.PIPE)
binary_screenshot = process.stdout.read()
binary_screenshot = binary_screenshot.replace(b'\r\n', b'\n')
f = open('autojump.png', 'wb')
f.write(binary_screenshot)
f.close()
# screenshot.pull_screenshot()
img = Image.open('autojump.png')
ocr_subject(img)
def openPage(subject):
url = 'https://www.baidu.com/s?wd={}'.format(
subject)
webbrowser.open(url)
webbrowser.get()
def cut_img(img):
region = img.crop((70, 260, 1025, 570))
# region.save("temp/cut_first.png")
return region
def cut_question(img):
list = []
question1 = img.crop((70, 590, 1025, 768))
question2 = img.crop((70, 769, 1025, 947))
question3 = img.crop((70, 948, 1025, 1130))
list.append(question1)
list.append(question2)
list.append(question3)
# question1.save("temp/cut_1.png")
# question2.save("temp/cut_2.png")
# question3.save("temp/cut_3.png")
return list
if __name__ == '__main__':
main()
由于很多题目是下列哪个不是，所以我更喜欢用第一个方式，基本上识别时间在0.5-0.6秒之间。
最后里面的ocr_zh.py是可以用来抓取头脑王者的辅助。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持帮客之家。
评论关闭