def getAnswer(question):
keyword = ''.join(question.split()) # 识别的问题文本
print(keyword)
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
print(
'#########################################################################'
)
for result in results:
# print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
if (result.abstract == '百度软广，当前代码版本不予摘要'):
pass
else:
print(getReData(QandA.aList, result.abstract))
print('{0}'.format(result.abstract)) # 此处应有格式化输出
print(
'#########################################################################'
)
count = count + 1
if (count == 3):
break
def get_answer(filePath):
with open(filePath, 'rb') as fp:
image = fp.read()
respon = client.basicGeneral(image)
titles = respon['words_result'] #获取问题
ans = ''
for title in titles:
ans = ans +title['words']
print(ans) #打印问题
keyword = ans #识别的问题文本
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
for result in results:
#print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
print('{0}'.format(result.abstract)) # 此处应有格式化输出
count=count+1
if(count == 2): #这里限制了只显示2条结果，可以自己设置
break
def getBaiduData():
global arrayAnswer
print("执行获取问题")
# 获取题目
region = Image.open(r"./screenshot.png").crop(
(70, 300, w - 70, 800)) # 裁剪的区域 百万超人 手机1080*1920 高度范围300~600
# 保存im
region.save("./crop_test1.png")
#
im = Image.open(r"./crop_test1.png")
text = pytesseract.image_to_string(im, lang='chi_sim').replace("\n", "")
print("问题是::::: " + text)
keyword = ''.join(text) # 识别的问题文本
keyword = re.sub(r"\d+.", "", keyword, 1)
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
print('', end='\n\n')
for result in results:
abstract = result.abstract
# print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
print('{0}'.format(abstract), end='\n\n') # 此处应有格式化输出
flag = ""
for answer in arrayAnswer:
if abstract.find(answer) > 0:
flag = answer
print("答案1选============ " + answer, end='\n\n')
# print("答案1选============ " + answer, end='\n\n')
#
# if flag == "":
# flag.strip()
# for answer in [an for an in arrayAnswer if an.strip() != '']:
# na = '.*'.join([i for i in answer]) + '.*'
# print('na is ', na, 'abstract is ', abstract)
# if re.search(na, abstract):
# print("答案2选============ " + answer, end='\n\n')
count = count + 1
if (count == 2):
break
def getBaiduData():
global arrayAnswer
print("执行获取问题")
# 获取题目
region = Image.open(r"./screenshot.png").crop((70, 300, w - 70, 800)) # 裁剪的区域 百万超人 手机1080*1920 高度范围300~600
# 保存im
region.save("./crop_test1.png")
#
im = Image.open(r"./crop_test1.png")
text = pytesseract.image_to_string(im, lang='chi_sim').replace("\n", "")
print("问题是::::: " + text)
keyword = ''.join(text) # 识别的问题文本
keyword = re.sub(r"\d+.", "", keyword, 1)
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
print('', end='\n\n')
for result in results:
abstract = result.abstract
# print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
print('{0}'.format(abstract), end='\n\n') # 此处应有格式化输出
flag = ""
for answer in arrayAnswer:
if abstract.find(answer) > 0:
flag = answer
print("答案1选============ " + answer, end='\n\n')
# print("答案1选============ " + answer, end='\n\n')
#
# if flag == "":
# flag.strip()
# for answer in [an for an in arrayAnswer if an.strip() != '']:
# na = '.*'.join([i for i in answer]) + '.*'
# print('na is ', na, 'abstract is ', abstract)
# if re.search(na, abstract):
# print("答案2选============ " + answer, end='\n\n')
count = count + 1
if (count == 2):
break
def separateClassesAndPlaceName():
dbscanner_path = './utils/dbscaner_200m_10minutes_50eps_5minPts.pkl'
classes_save_dir = './classes/classes_200_10_50_5/'
place_name_save_path = './utils/dbscaner_200m_10minutes_50eps_5minPts.txt'
dbscanner = pickle.load(open(dbscanner_path, 'r'))
pointList = []
for key in dbscanner.m_reverse.keys():
print key
out = []
kk = []
for i in dbscanner.m_reverse[key]:
lat = dbscanner.points[i].lat
lon = dbscanner.points[i].lon
point = Point(lat, lon, 39755.9735300926, 'asdfasdf')
string = '{},{},0,0,0,0,0'.format(lat, lon)
out.append(point)
kk.append(string)
save_path = '{}class_{}.plt'.format(classes_save_dir, key)
remove(save_path)
save(kk, save_path)
lat, lon = computeMeanCoord(out)
pointList.append([key, lat, lon])
placeNameList = []
for item in pointList:
key = item[0]
lat = item[1]
lon = item[2]
business = search(lat, lon)
result = '{}:{}'.format(key, business)
placeNameList.append(result)
print '{}:{}'.format(key, business)
save(placeNameList, place_name_save_path)
def map_baidu(keyword, mode):
# mode=1则输出搜索结果
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
search_num = results[0]
if mode == 1:
count = 0
for result in results[1:]:
#print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
print('{0}'.format(result.abstract)) # 此处应有格式化输出
count = count + 1
if (count == 2):
break
return search_num
image = get_file_content(r"./crop_test1.png")
respon = client.basicGeneral(image)
titles = respon['words_result'] #获取问题
ans = ''
for title in titles:
ans = ans + title['words']
print(ans) #打印问题
keyword = ans #识别的问题文本
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
for result in results:
#print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
print('{0}'.format(result.abstract)) # 此处应有格式化输出
count = count + 1
if (count == 2): #这里限制了只显示2条结果，可以自己设置
break
end = time.time()
print('程序用时：' + str(end - start) + '秒')
result = reduce(concat, data) + '|' + reduce(concat, labels)
print result
data_label.append(result)
random.shuffle(data_label)
index = int(len(data_label)*0.8)
train_data_label = data_label[0:index]
test_data_label = data_label[index:len(data_label)]
save(train_data_label, train_save_path)
save(test_data_label, test_save_path)
if __name__ == '__main__':
dbscanner = pickle.load(open('./utils/dbscaner_100m_5minutes_50eps_5minPts.pkl', 'r'))
pointList = []
for key in dbscanner.m_reverse.keys():
out = []
for i in dbscanner.m_reverse[key]:
lat = dbscanner.points[i].lat
lon = dbscanner.points[i].lon
point = Point(lat, lon, 39755.9735300926, 'asdfasdf')
# string = '{},{},0,0,0,0,0'.format(lat, lon)
out.append(point)
save(out, './classes_100_5_50_5/class_{}.plt'.format(key))
lat, lon = computeMeanCoord(out)
pointList.append([key, lat, lon])
for item in pointList:
key = item[0]
lat = item[1]
lon = item[2]
business = search(lat, lon)
print '{}:{}'.format(key, business)
def autoChoose():
start_time = time.time()
# screencap and pull
os.system('adb shell screencap -p /sdcard/screen_shot.png')
os.system('adb pull /sdcard/screen_shot.png .')
# crop image
image = Image.open('./screen_shot.png')
image_size = image.size
print image_size
width = image_size[0]
height = image_size[1]
region = image.crop((0, height * 0.15, width, height * 0.7))
region.save('./screen_shot_crop.png')
# OCR
aa = AipOcr(APP_ID, API_KEY, SECRET_KEY)
filepath = './screen_shot_crop.png'
with open(filepath, 'rb') as fp:
image = fp.read()
ret = aa.basicGeneral(image)
# question region
if ret:
ask = ''
lines = ret['words_result']
if len(lines) <= 4:
ask = lines[0]['words'].split('.')[-1]
elif len(lines) == 5:
ask = lines[0]['words'].split('.')[-1] + lines[1]['words']
elif len(lines) > 5:
ask = lines[0]['words'].split(
'.')[-1] + lines[1]['words'] + lines[2]['words']
if len(lines) >= 3:
Coption = lines[-1]['words']
Boption = lines[-2]['words']
Aoption = lines[-3]['words']
else:
Aoption, Boption, Coption = ' ', ' ', ' '
keyword = ask
print keyword
convey = 'n'
end_time = time.time()
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
N = {'A': 0, 'B': 0, 'C': 0}
for result in results:
N['A'] += result.abstract.count(Aoption)
N['B'] += result.abstract.count(Boption)
N['C'] += result.abstract.count(Coption)
# Qred = result.abstract.replace(keyword, '\033[1;30;41m' + keyword + '\033[0m')# '\033[1;30;41m' + Aoption + '\033[0m'
Ared = result.abstract.replace(
Aoption, '\033[1;31m' + Aoption +
'\033[0m') #'\033[1;30;41m' + Aoption + '\033[0m'
Bred = Ared.replace(Boption, '\033[1;32m' + Boption +
'\033[0m') #'\033[1;32m' + 'Boption' + '\033[0m'
Cred = Bred.replace(Coption, '\033[1;34m' + Coption +
'\033[0m') #'\033[1;34m' + 'Coption' + '\033[0m'
print('\033[1;30;41m' + result.title + '\033[0m')
print ' '
print Cred
print ' '
count = count + 1
if count == 4:
break
print '\033[1;31;40m', '答案： ', max(N.items(),
key=lambda x: x[1])[0], '\033[0m'
print(r'run time: ' + str(end_time - start_time) + 's')
response = urllib.request.urlopen(request)
content = bytes.decode(response.read())
if (content):
decode_json = json.loads(content)
print(decode_json['textResult'])
#pyperclip.copy(''.join(decode_json['textResult'].split()))
keyword = ''.join(decode_json['textResult'].split()) #识别的问题文本
convey = 'n'
if convey == 'y' or convey == 'Y':
results = baiduSearch.search(keyword, convey=True)
elif convey == 'n' or convey == 'N' or not convey:
results = baiduSearch.search(keyword)
else:
print('输入错误')
exit(0)
count = 0
for result in results:
#print('{0} {1} {2} {3} {4}'.format(result.index, result.title, result.abstract, result.show_url, result.url)) # 此处应有格式化输出
print('{0}'.format(result.abstract)) # 此处应有格式化输出
count=count+1
if(count == 2):
break
end = time.time()
print('程序用时：'+str(end-start)+'秒')
