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如何用python获取到照片拍摄时的详细位置(附源码)

时间：2022-12-10来源：www.pcxitongcheng.com作者：电脑系统城

一.引言

先看获取到的效果

拍摄时间：2021:12:18 16:22:13
照片拍摄地址:('内蒙古自治区包头市昆都仑区', '内蒙古自治区', '包头市', '昆都仑区', '多米幼儿园东南360米')

我们的女朋友给我们发来一张照片我们如何获取到她的位置呢?

用手机拍照会带着GPS信息，原来没注意过这个，因此查看下并使用代码获取照片里的GPS信息

查看图片文件属性

1.读取照片信息，获取坐标

ExifRead

Python library to extract EXIF data from tiff and jpeg files.

安装

1	`pip install exifread`

读取GPS

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15 import exifread
import re

def read():
GPS = {}
date = ''
f = open("C:\\Users\\24190\\Desktop\\小朱学长.jpg",'rb')
contents = exifread.process_file(f)
for key in contents:
if key == "GPS GPSLongitude":
print("经度 =", contents[key],contents['GPS GPSLatitudeRef'])
elif key =="GPS GPSLatitude":
print("纬度 =",contents[key],contents['GPS GPSLongitudeRef'])
#print(contents)
read()

运行

我们得到了一个简易的gps地址

如果想要读取全部的拍摄信息：

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35 # 读取照片的GPS经纬度信息
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():
# 纬度
if re.match('GPS GPSLatitudeRef', tag):
GPS['GPSLatitudeRef'] = str(value)
# 经度
elif re.match('GPS GPSLongitudeRef', tag):
GPS['GPSLongitudeRef'] = str(value)
# 海拔
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}

2.通过baidu Map的API将GPS信息转换成地址。

众所周知gps和百度的经纬度会有误差，那么我们需要调用百度转换接口，这个百度目前没有开源。

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23 # 通过baidu Map的API将GPS信息转换成地址。
def find_address_from_GPS(GPS):
"""
使用Geocoding API把经纬度坐标转换为结构化地址。
:param GPS:
:return:
"""
secret_k ey = 'XXX'
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]
print(content)
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"]
location = baidu_map_address["result"]["sematic_description"]
return formatted_address, province, city, district, location

然后在主函数输出：

二.源码附上！！！

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83 # coding=utf-8
import exifread
import re
import json
import requests
import os

# 转换经纬度格式
def latitude_and_longitude_convert_to_decimal_system(*arg):
"""
经纬度转为小数, 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)

# 读取照片的GPS经纬度信息
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():
# 纬度
if re.match('GPS GPSLatitudeRef', tag):
GPS['GPSLatitudeRef'] = str(value)
# 经度
elif re.match('GPS GPSLongitudeRef', tag):
GPS['GPSLongitudeRef'] = str(value)
# 海拔
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}

# 通过baidu Map的API将GPS信息转换成地址。
def find_address_from_GPS(GPS):
"""
使用Geocoding API把经纬度坐标转换为结构化地址。
:param GPS:
:return:
"""
secret_ke y = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf'
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]
print(content)
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"]
location = baidu_map_address["result"]["sematic_description"]
return formatted_address, province, city, district, location

if __name__ == '__main__':
GPS_info = find_GPS_image(pic_path='小朱学长.jpg')
address = find_address_from_GPS(GPS=GPS_info)
print("拍摄时间：" + GPS_info.get("date_information"))
print('照片拍摄地址:' + str(address))