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
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
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}
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:
# 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))
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。
以上がPythonを使用して写真が撮影されたときの詳細な位置を取得する方法の詳細内容です。詳細については、PHP 中国語 Web サイトの他の関連記事を参照してください。