讯飞和百度文字识别接口(基于python)
下载baidu-aip接口from aip import AipOcrdef baiduOCR(picfile):#百度api"""利用百度api识别文本,并保存提取的文字picfile:图片文件名outfile:输出文件"""APP_ID = 'XXX'# 刚才获取的 ID,下同API_KEY = 'XXXCh0ZmWe6o1'SECRECT_KEY =.
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- 下载baidu-aip接口
from aip import AipOcr
def baiduOCR(picfile):#百度api
"""利用百度api识别文本,并保存提取的文字
picfile: 图片文件名
outfile: 输出文件
"""
APP_ID = 'XXX' # 刚才获取的 ID,下同
API_KEY = 'XXXCh0ZmWe6o1'
SECRECT_KEY = 'XXXXXXXX5UqbZElQ3lrp7Nu20OLtwNiI'
# APP_ID, API_KEY, SECRECT_KEY = account
client = AipOcr(APP_ID, API_KEY, SECRECT_KEY)
text_list = []
time_out = 0
while time_out < 5:
try:
message = client.basicGeneral(picfile) # 通用文字识别
# elif flag == 1:
# message = client.basicAccurate(picfile) # 通用文字高精度识别,
break
except:
time_out += 1
if time_out == 5:
print('识别出错,程序退出')
return '网络错误'
try:
for text in message['words_result']:
text = text['words']
print(text)
text_list.append(text)
except KeyError or TypeError:
if message['error_code'] == 17:
return 'limit'
elif message['error_code'] == 18:
return 'qps'
def xunfeiOCR(picfile):#讯飞接口
# from urllib import parse
# 印刷文字识别 webapi 接口地址
# URL = "http://webapi.xfyun.cn/v1/service/v1/ocr/general"
URL = "https://webapi.xfyun.cn/v1/service/v1/ocr/handwriting" # 手写体识别12.11过期
# 应用ID (必须为webapi类型应用,并印刷文字识别服务,参考帖子如何创建一个webapi应用:http://bbs.xfyun.cn/forum.php?mod=viewthread&tid=36481)
APPID = "xxxxxf46"
# 接口密钥(webapi类型应用开通印刷文字识别服务后,控制台--我的应用---印刷文字识别---服务的apikey)
API_KEY = "xxxxxxef7879e"
def getHeader():
# 当前时间戳
curTime = str(int(time.time()))
# 支持语言类型和是否开启位置定位(默认否)
param = {"language": "cn|en", "location": "false"}
param = js.dumps(param)
paramBase64 = base64.b64encode(param.encode('utf-8'))
m2 = hashlib.md5()
str1 = API_KEY + curTime + str(paramBase64, 'utf-8')
m2.update(str1.encode('utf-8'))
checkSum = m2.hexdigest()
# 组装http请求头
header = {
'X-CurTime': curTime,
'X-Param': paramBase64,
'X-Appid': APPID,
'X-CheckSum': checkSum,
'Content-Type': 'application/x-www-form-urlencoded; charset=utf-8',
}
return header
# 上传文件并进行base64位编码
# with open(r'E:\9-19\图像出题\4.jpg', 'rb') as f:
# f1 = f.read()
f1_base64 = str(base64.b64encode(picfile), 'utf-8')
data = {
'image': f1_base64
}
try:
r = requests.post(URL, data=data, headers=getHeader())
result = js.loads(str(r.content, 'utf-8'))
except:
time.sleep(5)
r = requests.post(URL, data=data, headers=getHeader())
result = js.loads(str(r.content, 'utf-8'))
# 错误码链接:https://www.xfyun.cn/document/error-code (code返回错误码时必看)
text_list = []
# text = self.reader.readtext(picfile, detail=0)
# text = text[0]
if result['data']['block'][0]['line']:
text = result['data']['block'][0]['line'][0]['word'][0]['content']
print(text)
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