怎么用python获取到照片拍摄时的详细位置

开发技术作者：iii 2024-04-17 21:05:01

本篇内容主要讲解“怎么用python获取到照片拍摄时的详细位置”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“怎...

本篇内容主要讲解“怎么用python获取到照片拍摄时的详细位置”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“怎么用python获取到照片拍摄时的详细位置”吧!

一.引言

我们的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

怎么用python获取到照片拍摄时的详细位置

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

pip install exifread

读取GPS

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

怎么用python获取到照片拍摄时的详细位置

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：

# 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。

# 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：

怎么用python获取到照片拍摄时的详细位置

二.源码附上！！！

# 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))