def main():
pro_start = datetime.datetime.now()
check_os()
config = get_config()
is_auto = config['auto']
while True:
while True:
img = analyze.tell_and_get_image()
if img is not None:
break
if is_auto:
print('没有发现题目页面')
exit(-1)
time.sleep(1) # 不是题目页面，休眠1秒后继续判断
# 获取题目及选项
start = datetime.datetime.now() # 开始时间
question, option_arr = analyze.image_to_str(img) # 图片转文字
question, is_negative = analyze.get_question(question) # 得到题目、选项及题目正反
result_list = search.search(question) # 搜索结果
print question
best_result = analyze.get_result(result_list, option_arr, question,
is_negative) # 分析结果
if best_result is None:
print('\n没有答案')
else:
print('最佳答案是： \033[1;31m{}\033[0m'.format(best_result))
run_time = (datetime.datetime.now() - start).seconds
print('本次运行时间为：{}秒'.format(run_time))
if is_auto:
time.sleep(10) # 每一道题结束，休息10秒
else:
break
total_time = (datetime.datetime.now() - pro_start).seconds
print('脚本运行共运行{}秒'.format(total_time))
def main_start():
# 获取屏幕尺寸
size = tools.check_os()
print u'当前使用手机的尺寸为：' + str(size)
# 获取配置文件
config = tools.get_config()
is_auto = config['auto']
is_yd_ocr = config['yd_ocr']
# is_debug = config['debug']
my_str = config['my_str']
# 根据尺寸及配置文件，获取到当前问题区和空白区
pixel_json = tools.get_pixel_config(size)
blank_area = pixel_json['blank_area']
# question_area = pixel_json['question_area']
blank_area_point = blank_area['x1'], blank_area['y1'], blank_area[
'x2'], blank_area['y2']
# question_area_point = question_area['x1'], question_area['y1'], question_area['x2'], question_area['y2']
# 循环判断是否为答题页面
question_num = 0
crop_img_name = 'image/now.png'
while True:
while False:
img = analyze.tell_and_get_image(is_auto, blank_area_point)
if img is not None:
question_num += 1
break
else: # 若不是答题页
if not is_auto:
print('没有发现题目页面')
exit(-1)
print('没有发现答题页面，继续')
time.sleep(0.8) # 不是题目页面，休眠0.8秒后继续判断
img = Image.open('image/backup.png')
# 获取题目及选项
start = datetime.datetime.now() # 记录开始时间
print u'开始时间为：' + str(start)
tools.crop_image(img, crop_img_name)
question, a1, a2, a3 = analyze.image_to_str(crop_img_name, is_yd_ocr,
my_str) # 图片转文字
if question is None or question == '':
print('\n没有识别题目')
exit(-1)
result_list = search.geturl(question, a1, a2, a3) # 搜索结果
for x in result_list:
print x
run_time = (datetime.datetime.now() - start).seconds
print('本次运行时间为：{}秒'.format(run_time))
if is_auto:
time.sleep(25) # 每一道题结束，休息10秒
else:
break
def main():
img = analyze.tell_and_get_image()
question, option_arr = analyze.image_to_str(img) # 图片转文字
question, is_negative = analyze.get_question(question) # 得到题目、选项及题目正反
result_list = search.search(question) # 搜索结果
print
print question
print "选项:", ','.join(option_arr)
best_result = analyze.get_result(result_list, option_arr, question,
is_negative) # 分析结果
if best_result is None:
print('\n没有答案')
else:
print('最佳答案是： \033[1;31m{}\033[0m'.format(best_result))
def main():
text = analyze.image_to_str() # 图片转文字
question, option_arr, is_negative = analyze.get_question(
text) # 得到题目、选项及题目正反
result_list = []
wd = urllib.request.quote(question)
url = 'https://zhidao.baidu.com/search?ct=17&pn=0&tn=ikaslist&rn=10&fr=wwwt&word={}'.format(
wd)
# open chrome to get answer if you use mac..
chrome_path = 'open -a /Applications/Google\ Chrome.app %s'
if is_windows():
# TODO replace your local chrome install path
chrome_path = 'C:\Program Files (x86)\Google\Chrome\Application\chrome.exe %s'
if is_linux():
chrome_path = '/usr/bin/google-chrome %s'
webbrowser.get(chrome_path).open(url)
print(url)
result = urlopen(url)
# 解析html页面
body = BeautifulSoup(result.read(), 'html5lib')
good_result_div = body.find(class_='list-header').find(class_='dd answer')
second_result_div = body.find(class_='list-inner').find(class_='list')
if good_result_div is not None:
good_result = good_result_div.get_text()
result_list.append(good_result)
print(good_result.strip())
if second_result_div is not None:
second_result_10 = second_result_div.findAll(
'dl') # .find(class_='answer').get_text()
if second_result_10 is not None and len(second_result_10) > 0:
for index, each_result in enumerate(second_result_10):
result_dd = each_result.dd.get_text()
result_list.append(result_dd)
if index < 3:
print(result_dd)
best_result = analyze.get_result(result_list, option_arr, question,
is_negative)
if best_result is None:
print('\n没有答案')
else:
print('最佳答案是： \033[1;31m{}\033[0m'.format(best_result))
def main():
size = utils.check_os()
config = get_config()
is_auto = config['auto']
is_baidu_ocr = config['baidu_ocr']
is_debug = config['debug']
baidu_ocr_clint = None
if is_baidu_ocr:
baidu_cor_config = config['baidu_ocr_config']
baidu_ocr_clint = utils.init_baidu_ocr(baidu_cor_config)
pixel_json = utils.get_pixel_config(size)
blank_area = pixel_json['blank_area']
question_area = pixel_json['question_area']
blank_area_point = blank_area['x1'], blank_area['y1'], blank_area['x2'], blank_area['y2']
question_area_point = question_area['x1'], question_area['y1'], question_area['x2'], question_area['y2']
question_num = 0
crop_img_name = 'image/crop.png'
while True:
while True:
print('开始答题')
img = analyze.tell_and_get_image(is_auto, blank_area_point)
if img is not None:
question_num += 1
break
else: # 若不是答题页
if not is_auto:
print('没有发现题目页面')
exit(-1)
print('没有发现答题页面，继续')
time.sleep(0.8) # 不是题目页面，休眠0.8秒后继续判断
# 获取题目及选项
start = datetime.datetime.now() # 记录开始时间
crop_obj = utils.crop_image(img, question_area_point, crop_img_name)
question, option_arr, is_negative = analyze.image_to_str(crop_obj, is_baidu_ocr, baidu_ocr_clint) # 图片转文字
print('搜索的题目是：{} '.format(question))
print('选项为：{} '.format(option_arr))
if question is None or question == '':
print('没有识别题目')
continue
result_list = search.search(question, option_arr, is_negative) # 搜索结果
if result_list is None:
print('\n没有答案')
else:
print('最佳答案是： \033[1;31m{}\033[0m'.format(result_list))
run_time = (datetime.datetime.now() - start).seconds
print('本次运行时间为：{}秒'.format(run_time))
crop_img = crop_obj[0]
if is_debug:
img.save('image/question_{}.png'.format(question_num))
crop_img.close()
img.close()
if is_auto:
print('休息：{}秒后继续'.format(question_sleep_time))
time.sleep(question_sleep_time) # 每一道题结束，休息10秒
else:
break
def main():
pro_start = datetime.datetime.now()
size = utils.check_os()
config = get_config()
is_auto = config['auto']
is_baidu_ocr = config['baidu_ocr']
baidu_ocr_clint = None
if is_baidu_ocr:
baidu_cor_config = config['baidu_ocr_config']
baidu_ocr_clint = utils.init_baidu_ocr(baidu_cor_config)
pixel_json = utils.get_pixel_config(size)
blank_area = pixel_json['blank_area']
question_area = pixel_json['question_area']
blank_area_point = blank_area['x1'], blank_area['y1'], blank_area[
'x2'], blank_area['y2']
question_area_point = question_area['x1'], question_area[
'y1'], question_area['x2'], question_area['y2']
question_num = 0
crop_img_name = 'image/crop.png'
while True:
while True:
img = analyze.tell_and_get_image(is_auto, blank_area_point)
if img is not None:
question_num += 1
break
else: # 若不是答题页
if not is_auto:
print('没有发现题目页面')
exit(-1)
print('没有发现答题页面，继续')
time.sleep(0.5) # 不是题目页面，休眠0.5秒后继续判断
# 获取题目及选项
start = datetime.datetime.now() # 记录开始时间
crop_img = utils.crop_image(img, question_area_point, crop_img_name)
question, option_arr, is_negative = analyze.image_to_str(
crop_img, is_baidu_ocr, baidu_ocr_clint) # 图片转文字
if question is None or question == '':
print('\n没有识别题目')
exit(-1)
result_list = search.search(question) # 搜索结果
best_result = search.get_result(result_list, option_arr, question,
is_negative) # 分析结果
if best_result is None:
print('\n没有答案')
else:
print('最佳答案是： \033[1;31m{}\033[0m'.format(best_result))
run_time = (datetime.datetime.now() - start).seconds
print('本次运行时间为：{}秒'.format(run_time))
if is_auto:
time.sleep(10) # 每一道题结束，休息10秒
else:
break
total_time = (datetime.datetime.now() - pro_start).seconds
print('脚本运行共运行{}秒'.format(total_time))
img.save('image/answer{}.png'.format(question_num))
img.close()