python提取照片坐标信息的实例代码

python提取照片坐标信息的代码如下所示：

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()

PS：Python小列子-读取照片位置

Python exifread

Python利用exifread库来解析照片的经纬度，对接百度地图API显示拍摄地点。

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/?ak={0}&callback=renderReverse&location={1},{2}s&output=json&pois=0".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)

总结

以上所述是小编给大家介绍的python提取照片坐标信息的实例代码 ,网站的支持！
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来源：https://blog.csdn.net/nju_zjy/article/details/91426936