女友半夜加班发自拍 python男友用30行代码发现惊天秘密

2021-05-13 00:15:38LanceLee数据爬虫181

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事情是这样的

正准备下班的python开发小哥哥

接到女朋友今晚要加班的电话

并给他发来一张背景模糊的自拍照

如下 ↓ ↓ ↓

敏感的小哥哥心生疑窦，难道会有原谅帽

然后python撸了一段代码分析照片

分析下来 emmm

拍摄地址居然在 XXX酒店

小哥哥崩溃之余大呼上当

python分析照片

小哥哥将发给自己的照片原图下载下来

并使用python写了一个脚本

读取到了照片拍摄的详细的地址

详细到了具体的街道和酒店名称

引入exifread模块

首先安装python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

GPS经纬度信息

其实我们平时拍摄的照片里，隐藏了大量的私密信息

包括拍摄时间、极其精确具体的GPS信息。

下面是通过exifread模块，来读取照片内的经纬度信息。

#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}

百度API将GPS转地址

这里需要使用调用百度API，将GPS经纬度信息转换为具体的地址信息。

这里，你需要一个调用百度API的ak值，这个可以注册一个百度开发者获得，当然，你也可以使用博主的这个ak

调用之后，就可以将拍摄时间、拍摄详细地址都解析出来。

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))

老王得到的结果是这样的

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')

云南弥勒湖泉酒店，这明显不是老王女友工作的地方，老王搜索了一下，这是一家温泉度假酒店。

顿时就明白了

{"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))

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