这是一个悲伤的故事
昨天，我司的python开发小哥刚准备下班陪女友共进晚餐，满心期待地盼着女友的回复，却接到女友晚上要加班的电话，满满的失落感涌上心头。
还有比这空欢喜更让人伤心难过的事情嘛！emmm还真有
不一会儿，小哥哥的女友发来了一张自称在加班并将背景模糊的自拍照，故事从这儿就开始了：
如下 ↓ ↓ ↓
女友留言说道：亲爱的，今晚一个人也要好好的吃晚饭哦，么么哒。小哥哥满脸疑惑，顿时受宠若惊，小女友这是咋啦，平时的她可是如此的“趾高气昂”，今天的热情让他满脸疑惑😦
不就是一张自拍照吗？这事儿又是为何最终让人难过呢，难道这不是女友在安慰我们的python开发小哥哥吗？
老铁们，你们要是这么想，接下来文章内容一定要细细品味、好好学习、深入研究……
为何女友要背景虚化？为何要特意发照片？明明平常工作不加班呀？
面对重重疑惑，我们的python开发小哥哥心生疑虑，决心运用所学python知识对女友自拍照编写了一段代码进行分析，不遛弯了，结果却显示照片的拍摄地址为「X X酒店」
绿帽从天而降，小哥哥这绿帽子是戴的稳稳的了，好在及时止损了，不然天天为老板996，最终换来的却是女友的669😭
想知道小哥哥是如何捍卫自己男人的尊严的，快拿小本本记下来，快拿小本本记下来，快拿小本本记下来！！！
重要事情说三遍
第一步：编写python脚本分析照片
通过下载发来的照片原图，利用python来编写全文的脚本文件，由此读取照片中拍摄的详细地址（地址可以详细到具体的街道和酒店名称）
第二步：引入exifread模块
再安装python中的exifread模块，用于照片分析
pip install exifread 安装exfriead模块。
PS C:\WINDOWS\system32> pip install exifread
Collecting exifread
Downloading ExifRead-2.3.2-py3-none-any.whl (38 kB)
Installing collected packages: exifread
Successfully installed exifread-2.3.2
PS C:\WINDOWS\system32> pip install json
第三步：读取GPS定位的经纬度信息
通过Python的exifread模块，可以读取照片中隐藏的经纬度信息（其实我们日常的照片中往往隐藏着很多的秘密，包括拍摄时间以及经纬度等）
#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}
第四步：利用百度API将GPS转地址
最后我们再通过调用百度的API接口，将获得的GPS经纬度信息转换为可定位读取的具体地址信息
def find_address_from_GPS(GPS):
secret_key = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf'
if not GPS['GPS_information']:
return '该照片无GPS信息'
#经纬度信息
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)
#百度API转换成具体的地址
content = response.text.replace("renderReverse&&renderReverse(", "")[:-1]
print(content)
baidu_map_address = json.loads(content)
#将返回的json信息解析整理出来
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='C:/女友自拍.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))
接下来就静待开奖……
恭喜喜提绿帽一枚
{"status":0,"result":{"location":{"lng":103.41424699999998,"lat":24.410461020097278},
"formatted_address":"云南省红河哈尼族彝族自治州弥勒县",
"business":"",
"addressComponent":{"country":"中国",
"country_code":0,
"country_code_iso":"CHN",
"country_code_iso2":"CN",
"province":"云南省",
"city":"红河哈尼族彝族自治州",
"city_level":2,"district":"弥勒县",
"town":"","town_code":"","adcode":"532526",
"street_number":"",
"direction":"","distance":""},
"sematic_description":"湖泉酒店-A座东南128米",
"cityCode":107}}
拍摄时间：2021:5:03 20:05:32
照片拍摄地址:('云南省红河哈尼族彝族自治州弥勒县', '云南省', '红河哈尼族彝族自治州', '弥勒县', '湖泉酒店-A座东南128米')
完整代码如下
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_key = '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='C:/Users/pacer/desktop/img/5.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))
转载：https://blog.csdn.net/lujohn3li/article/details/117305583
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