from PIL import Image
from PIL.ExifTags import TAGS
import os
output="Z://result.csv"
out=open(output,'a')
out.write('lat,lon\n')
fpath="Z://iphonephoto"
for item in os.walk(fpath):
 ob=item[2]
 for i in ob:
  name=fpath+'/'+str(i)
  ret={}
  try:
   img=Image.open(name)
   if hasattr(img,'_getexif'):
    exifinfo=img._getexif()
    if exifinfo !=None:
     for tag,value in exifinfo.items():
      decoded=TAGS.get(tag,tag)
      ret[decoded]=value
      N1 = ret['GPSInfo'][2][0][0]
      N2 = ret['GPSInfo'][2][1][0]
      N3 = ret['GPSInfo'][2][2][0]
      N=int(N1)+int(N2)*(1.0/60)+int(N3)*(1.0/360000)
      E1 = ret['GPSInfo'][4][0][0]
      E2 = ret['GPSInfo'][4][1][0]
      E3 = ret['GPSInfo'][4][2][0]
      E=int(E1)+int(E2)*(1.0/60)+int(E3)*(1.0/360000)
      out.write(str(N)+','+str(E)+'\n')
  except:
   pass
out.close()

import exifread
import re
import json
import requests
def latitude_and_longitude_convert_to_decimal_system(*arg):
 """
 经纬度转为小数, 作者尝试适用于iphone6、ipad2以上的拍照的照片，
 :param arg:
 :return: 十进制小数
 """
 return float(arg[0]) + ((float(arg[1]) + (float(arg[2].split('/')[0]) / float(arg[2].split('/')[-1]) / 60)) / 60)
def find_GPS_image(pic_path):
 GPS = {}
 date = ''
 with open(pic_path, 'rb') as f:
  tags = exifread.process_file(f)
  for tag, value in tags.items():
   if re.match('GPS GPSLatitudeRef', tag):
    GPS['GPSLatitudeRef'] = str(value)
   elif re.match('GPS GPSLongitudeRef', tag):
    GPS['GPSLongitudeRef'] = str(value)
   elif re.match('GPS GPSAltitudeRef', tag):
    GPS['GPSAltitudeRef'] = str(value)
   elif re.match('GPS GPSLatitude', tag):
    try:
     match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups()
     GPS['GPSLatitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2])
    except:
     deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')]
     GPS['GPSLatitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec)
   elif re.match('GPS GPSLongitude', tag):
    try:
     match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups()
     GPS['GPSLongitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2])
    except:
     deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')]
     GPS['GPSLongitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec)
   elif re.match('GPS GPSAltitude', tag):
    GPS['GPSAltitude'] = str(value)
   elif re.match('.*Date.*', tag):
    date = str(value)
 return {'GPS_information': GPS, 'date_information': date}
def find_address_from_GPS(GPS):
 print(GPS)
 """
 使用Geocoding API把经纬度坐标转换为结构化地址。
 :param GPS:
 :return:
 """
 secret_key = 'xxxxxxxxxxxxxxxxxxxx'    # 百度地图创应用的秘钥 
 if not GPS['GPS_information']:
  return '该照片无GPS信息'
 lat, lng = GPS['GPS_information']['GPSLatitude'], GPS['GPS_information']['GPSLongitude']
 baidu_map_api = "http://api.map.baidu.com/geocoder/v2/".format(
  secret_key, lat, lng)
 response = requests.get(baidu_map_api)
 content = response.text.replace("renderReverse&&renderReverse(", "")[:-1]
 baidu_map_address = json.loads(content)
 formatted_address = baidu_map_address["result"]["formatted_address"]
 # province = baidu_map_address["result"]["addressComponent"]["province"]
 # city = baidu_map_address["result"]["addressComponent"]["city"]
 # district = baidu_map_address["result"]["addressComponent"]["district"]
 return formatted_address
GPS_info = find_GPS_image(pic_path='lllll.jpg')  # 照片
address = find_address_from_GPS(GPS=GPS_info)
print(address)