百度地图API中地标识别的调用

# -*- coding: utf-8 -*-

#!/usr/bin/env python

import urllib

import base64

import json

#client_id 为官网获取的AK， client_secret 为官网获取的SK

client_id ='43pyLfhEyu5kyxD7Pc3abo6G'

client_secret ='HTvjgzFQFX8LVPUE1VdGgcwfGg1cTRec'

#获取token

def get_token():

  host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secret

  request = urllib.request.Request(host)

  request.add_header('Content-Type', 'application/json; charset=UTF-8')

  response = urllib.request.urlopen(request)

  token_content = response.read()

  if token_content:

    token_info = json.loads(token_content)

    token_key = token_info['access_token']

  return token_key

#地标识别

def landmark(filename):

  filename= 'guangzhouta.jpg'

  request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/landmark"

  f = open(filename, 'rb')

  img = base64.b64encode(f.read())

  params = dict()

  params['image'] = img

  params['show'] = 'true'

  params = urllib.parse.urlencode(params).encode("utf-8")

#params = json.dumps(params).encode('utf-8')

  access_token = get_token()



  request_url = request_url + "?access_token=" + access_token

  request = urllib.request.Request(url=request_url, data=params)



  request.add_header('Content-Type', 'application/x-www-form-urlencoded')

  response = urllib.request.urlopen(request)

  content = response.read()

  landmark=''

  if content:

    #print(content)

    content=content.decode('utf-8')

    #print(content)

    data = json.loads(content)

    #print(data)

    words_result=data['result']

    landmark=words_result['landmark']

    print ('地标:',landmark)

  return landmark

from bs4 import BeautifulSoup

#通过百度百科获取地标的详细说明       

def get_baike_summary(itemname):

    url='https://baike.baidu.com/item/'+urllib.parse.quote(itemname)

    # 构建请求对象 

    headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.139 Safari/537.36"}

    request = urllib.request.Request(url, headers=headers)

    # 发送请求 

    response = urllib.request.urlopen(request)

    # 读取文件 

    content = response.read().decode('utf8')

    # 先构建一个soup对象     

    soup = BeautifulSoup(content, "lxml")

    #获取描述

    summary = soup.find("div", attrs={"class": "lemma-summary"}).get_text()

    print (summary)

def get_landmark_more(filename):

    result=landmark(filename)

    get_baike_summary(result)

get_landmark_more('landmark1.jpg')

输出