Python根据原图解析拍摄地点
生活随笔
收集整理的這篇文章主要介紹了
Python根据原图解析拍摄地点
小編覺(jué)得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.
# -*- coding:utf-8 -*-'''
fileName:
createTime:
modifyTime:
description:written by donghao
'''import exifread
import re
import json
import requests
import os#轉(zhuǎn)換經(jīng)緯度格式
def latitude_and_longitude_convert_to_decimal_system(*arg):"""經(jīng)緯度轉(zhuǎn)為小數(shù), param arg::return: 十進(jìn)制小數(shù)"""return float(arg[0]) + ((float(arg[1]) + (float(arg[2].split('/')[0]) / float(arg[2].split('/')[-1]) / 60)) / 60)#讀取照片的GPS經(jīng)緯度信息
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():#緯度if re.match('GPS GPSLatitudeRef', tag):GPS['GPSLatitudeRef'] = str(value)#經(jīng)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}#通過(guò)baidu Map的API將GPS信息轉(zhuǎn)換成地址。
def find_address_from_GPS(GPS):"""使用Geocoding API把經(jīng)緯度坐標(biāo)轉(zhuǎn)換為結(jié)構(gòu)化地址。:param GPS::return:"""secret_key = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf'if not GPS['GPS_information']:return '該照片無(wú)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,locationif __name__ == '__main__':GPS_info = find_GPS_image(pic_path='E:\Desktop/1.jpg')address = find_address_from_GPS(GPS=GPS_info)print("拍攝時(shí)間:" + GPS_info.get("date_information"))print('照片拍攝地址:' + str(address))
總結(jié)
以上是生活随笔為你收集整理的Python根据原图解析拍摄地点的全部?jī)?nèi)容,希望文章能夠幫你解決所遇到的問(wèn)題。
- 上一篇: 字典创建方式
- 下一篇: tensorflow 测试 cuda 是