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本篇內容主要講解“怎么用python獲取到照片拍攝時的詳細位置”，感興趣的朋友不妨來看看。本文介紹的方法操作簡單快捷，實用性強。下面就讓小編來帶大家學習“怎么用python獲取到照片拍攝時的詳細位置”吧!
我們的朋友給我們發來一張照片我們如何獲取到她的位置呢?
用手機拍照會帶著GPS信息，原來沒注意過這個，因此查看下并使用代碼獲取照片里的GPS信息
查看圖片文件屬性
ExifRead
Python library to extract EXIF data from tiff and jpeg files.
安裝
pip install exifread
讀取GPS
import exifread
import re
def read():
GPS = {}
date = ''
f = open("C:\\Users\\24190\\Desktop\\小朱學長.jpg",'rb')
contents = exifread.process_file(f)
for key in contents:
if key == "GPS GPSLongitude":
print("經度 =", contents[key],contents['GPS GPSLatitudeRef'])
elif key =="GPS GPSLatitude":
print("緯度 =",contents[key],contents['GPS GPSLongitudeRef'])
#print(contents)
read()運行
我們得到了一個簡易的gps地址
如果想要讀取全部的拍攝信息：
# 讀取照片的GPS經緯度信息
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}眾所周知gps和百度的經緯度會有誤差，那么我們需要調用百度轉換接口，這個百度目前沒有開源。
# 通過baidu Map的API將GPS信息轉換成地址。
def find_address_from_GPS(GPS):
"""
使用Geocoding API把經緯度坐標轉換為結構化地址。
:param GPS:
:return:
"""
secret_k ey = 'XXX'
if not GPS['GPS_information']:
return '該照片無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然后在主函數輸出：
# coding=utf-8
import exifread
import re
import json
import requests
import os
# 轉換經緯度格式
def latitude_and_longitude_convert_to_decimal_system(*arg):
"""
經緯度轉為小數, param arg:
:return: 十進制小數
"""
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baidu Map的API將GPS信息轉換成地址。
def find_address_from_GPS(GPS):
"""
使用Geocoding API把經緯度坐標轉換為結構化地址。
:param GPS:
:return:
"""
secret_ke y = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf'
if not GPS['GPS_information']:
return '該照片無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='小朱學長.jpg')
address = find_address_from_GPS(GPS=GPS_info)
print("拍攝時間：" + GPS_info.get("date_information"))
print('照片拍攝地址:' + str(address))1.照片的地址信息等，一般的手機相機默認是打開的。
2.微信和QQ里面發送原圖，信息都會完整的保留下來。
3.代碼里面需要處理在照片我放到了代碼的同文件夾下，所以沒有寫路徑，大家可以自己寫路徑，或者放到于代碼相同的路徑下即可。
到此，相信大家對“怎么用python獲取到照片拍攝時的詳細位置”有了更深的了解，不妨來實際操作一番吧！這里是億速云網站，更多相關內容可以進入相關頻道進行查詢，關注我們，繼續學習！
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