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
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    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()
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    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}
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    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
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    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))
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    注意事项

    1.照片的地址信息等,一般的手机相机默认是打开的。

    2.微信和QQ里面发送原图,信息都会完整的保留下来。

    3.代码里面需要处理在照片我放到了代码的同文件夹下,所以没有写路径,大家可以自己写路径,或者放到于代码相同的路径下即可。

    以上就是怎么用python获取到照片拍摄时的详细位置的详细内容,转载自php中文网

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