需求功能：
冲顶大会与百万英雄类的在线直播答题辅助，通过截图，识别中文（题目与选项），百度搜索分析搜索结果。
代码块：
#!/usr/bin/python
# coding=utf-8
import subprocess
from PIL import Image
import time
import requests
from threading import Thread
# # 颜色兼容Win 10
from colorama import init, Fore
init()
flag = False
def get_screenshot():
"""
获取界面截图，返回Image.image
:return:
"""
process = subprocess.Popen('D:\\adb\\adb.exe shell screencap -p', shell=True, stdout=subprocess.PIPE)
binary_screenshot = process.stdout.read()
binary_screenshot = binary_screenshot.replace(b'\r\r\n', b'\n')
with open('screenshot.png', 'wb') as fp:
fp.write(binary_screenshot)
img = Image.open('screenshot.png')
return img
def crop_image(img):
"""
圖片裁剪，裁剪出冲顶大会问题框区域box
:param img:
:return:
"""
region = (50, 350, 990, 1200)
img_block = img.crop(region)
img_block.save('image_croped.png')
return img_block
def baidu_ocr(image_path):
"""
百度AIP，图片文字识别，返回问题标题与选项列表
:param image_path:
:return:
"""
from aip import AipOcr
APP_ID = '10680685'
API_KEY = '5RhLj43kWTcQP26FNpKan3Lz'
SECRET_KEY = 'C1YSYESz9Z8Zt9Ms0A7PTuIdGq8oOzUL'
client = AipOcr(APP_ID, API_KEY, SECRET_KEY)
with open(image_path, 'rb') as fp:
image = fp.read()
result = client.basicGeneral(image)
result_list = result.get('words_result')
quetion_lenth = len(result_list) - 3
count = 0
question = ''
choices = []
for item in result.get('words_result'):
if count < quetion_lenth:
question = question + item.get('words')
count += 1
else:
choices.append(item.get('words'))
return question, choices
def search_baidu(type, question, choices):
"""
百度搜索，返回搜索结果
:param type:
:param question:
:param choices:
:return:
"""
global flag
if '不是' in question or '没有' in question:
print('**请注意此题为否定题,选计数最少的**')
flag = True
else:
flag = False
if type == 1:
counts = []
# print('\n-- 方法1： 题目搜索,搜索返回页源码中包含选项总量统计 --\n')
content = ''
for i in range(3):
req = requests.get(url='http://www.baidu.com/s', params={'wd': question, 'pn': i * 10})
content = content + req.text
for i in range(len(choices)):
counts.append(content.count(choices[i]))
if type == 2:
counts = []
# print('\n-- 方法2： 题目+选项 搜索结果匹配总量统计 --\n')
for i in range(len(choices)):
req = requests.get(url='http://www.baidu.com/s', params={'wd': question + ' +' + choices[i]})
content = req.text
# print(req.url)
index = content.find('百度为您找到相关结果约') + 11
content = content[index:]
index = content.find('个')
count = content[:index].replace(',', '')
counts.append(count)
if counts:
output(question, choices, counts, type)
def output(question, choices, counts, type):
global flag
counts = list(map(int, counts))
# 计数最高
index_max = counts.index(max(counts))
max_count = int(counts[index_max])
# 计数最少
index_min = counts.index(min(counts))
min_count = int(counts[index_min])
if max_count - min_count < 8:
# print(Fore.RED + "计数差距过小,此方法失效！" + Fore.RESET)
search_baidu(2, question, choices)
return
else:
print(question + " --->查找方式type=" + str(type))
for i in range(len(choices)):
if i == index_min:
# 红色为计数最低的答案
print(Fore.MAGENTA + "{0} : {1}".format(choices[i], counts[i]) + Fore.RESET)
elif i == index_max:
# 绿色为计数最高的答案
print(Fore.GREEN + "{0} : {1} ".format(choices[i], counts[i]) + Fore.RESET)
else:
print("{0} : {1} ".format(choices[i], counts[i]))
print("*" * 100)
if __name__ == '__main__':
while True:
# step1:截图，获取图片
screenshot_time = time.time()
img = get_screenshot()
print("screenshot_time:", time.time() - screenshot_time)
# step2:图片裁剪
crop_time = time.time()
img = crop_image(img)
print("crop_time:", time.time() - crop_time)
# img.show()
# step3：图片识别，获取问题与选项列表
baidu_time = time.time()
question, choices = baidu_ocr("image_croped.png")
print("baidu_time:", time.time() - baidu_time)
# step4：问题搜索，返回搜索结果集,输出结果提示
search_time = time.time()
search_baidu(1, question, choices)
# m1 = Thread(search_baidu(1, question, choices))
# m2 = Thread(search_baidu(2, question, choices))
# m1.start()
# m2.start()
print("search_time:", time.time() - search_time)
go = input('输入回车继续运行,输入 n 回车结束运行: ')
if go == 'n':
break