正準備下(xià)班的python開(kāi)發小(xiǎo)哥哥
接到女朋友今晚要加班的電話(huà)
并給他發來一(yī)張背景模糊的自拍照
如下(xià) ↓ ↓ ↓
敏感的小(xiǎo)哥哥心生(shēng)疑窦，難道會有原諒帽
然後python撸了一(yī)段代碼 剖析相片
剖析下(xià)來 emmm
拍照地址居然在 XXX酒店(diàn)
小(xiǎo)哥哥潰散之餘 大(dà)呼受騙
python剖析相片
小(xiǎo)哥哥将發給自己的相片原圖下(xià)載下(xià)來
并使用python寫了一(yī)個腳本
讀取到了相片拍照的詳細的地址
詳細到了詳細的街道和酒店(diàn)稱号
引入exifread模塊
首先裝置python的exifread模塊，用于相片剖析
pip install exifread 裝置exfriead模塊
PS C:WINDOWSsystem32> 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:WINDOWSsystem32> pip install json
GPS經緯度信息
其實我(wǒ)們平時拍照的相片裏，躲藏了大(dà)量的私密信息
包含 拍照時刻、極端精确 詳細的GPS信息。
下(xià)面是通過exifread模塊，來讀取相片内的經緯度信息。
#讀取相片的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}
百度API将GPS轉地址
這裏需要使用調用百度API，将GPS經緯度信息轉換爲詳細的地址信息。
這裏，你需要一(yī)個調用百度API的ak值，這個可以注冊一(yī)個百度開(kāi)發者取得，
當然，你也可以使用博主的這個ak
調用之後，就可以将拍照時刻、拍照詳細地址都解析出來。
def find_address_from_GPS(GPS):
secret_key = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf'
if not GPS['GPS_information']:
return '該相片無GPS信息'
#經緯度信息
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轉換成詳細的地址
content = response.text.replace("renderReverse&&renderReverse(", "")[:-1]
print(content)
baidu_map_address = json.loads(content)
#将回來的json信息解析整理出來
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("拍照時刻：" + GPS_info.get("date_information"))
print('相片拍照:' + str(address))
Python小(xiǎo)哥得到的結果是這樣的
相片拍照地址:('雲南(nán)省XXXXXXX縣', '雲南(nán)省', 'XXXX市', 'XXX縣', 'XXXX酒店(diàn)')
雲南(nán)彌勒XXXX酒店(diàn)，這明顯不是老王女友工(gōng)作的當地
小(xiǎo)哥哥搜索了一(yī)下(xià)，這是一(yī)家溫泉休假酒店(diàn)。
頓時就理解了
{"status":0,"result":{"location":{"lng":103.41424699999998,"lat":24.410461020097278},
"formatted_address":"雲南(nán)省XXXXXXXX縣",
"business":"",
"addressComponent":{"country":"China",
"country_code":0,
"country_code_iso":"CHN",
"country_code_iso2":"CN",
"province":"雲南(nán)省",
"city":"XXXXX市",
"city_level":2,"district":XXX縣",
"town":"","town_code":"","adcode":"532526",
"street_number":"",
"direction":"","distance":""},
"sematic_description":"XXXXX酒店(diàn)",
"cityCode":107}}
拍照時刻：2021:5:03 20:05:32
