标签:python value 照片 re str address 拍摄地 match GPS
import exifread
import re
import json
import requests
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
def latitude_and_longitude_convert_to_decimal_system(*arg):
"""
经纬度转为小数, 作者尝试适用于iphone6、ipad2以上的拍照的照片,
: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)
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():
if re.match('Image Make', tag):
print('[*] 品牌信息: ' + str(value))
if re.match('Image Model', tag):
print('[*] 具体型号: ' + str(value))
if re.match('EXIF LensModel', tag):
print('[*] 摄像头信息: ' + str(value))
if re.match('GPS GPSLatitudeRef', tag):
GPS['GPSLatitudeRef'] = str(value)
elif re.match('GPS GPSLongitudeRef', tag):
GPS['GPSLongitudeRef'] = str(value)
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)
#print({'GPS_information':GPS, 'date_information': date})
print('[*] 拍摄时间: '+ date)
return {'GPS_information': GPS, 'date_information': date}
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']
print('[*] 经度: ' + str(lat) + ', 纬度: ' + str(lng))
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"]
return formatted_address
# img_path = sys.argv[1]
img_path = '888.jpg'
if len(img_path) >= 2:
print('[*] 打开文件: '+ img_path)
GPS_info = find_GPS_image(pic_path=img_path)
address = find_address_from_GPS(GPS=GPS_info)
print('[*] 位置信息: '+address)
else:
print('python script.py filename')
标签:python,value,照片,re,str,address,拍摄地,match,GPS 来源: https://blog.csdn.net/m0_48232984/article/details/119257661
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