python如何提取照片坐标信息-创新互联
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python提取照片坐标信息的代码如下所示：
from PIL import Image
from PIL.ExifTags import TAGS
import os
output="Z://result.csv"
out=open(output,'a')
out.write('lat,lon\n')
fpath="Z://iphonephoto"
for item in os.walk(fpath):
ob=item[2]
for i in ob:
name=fpath+'/'+str(i)
ret={}
try:
img=Image.open(name)
if hasattr(img,'_getexif'):
exifinfo=img._getexif()
if exifinfo !=None:
for tag,value in exifinfo.items():
decoded=TAGS.get(tag,tag)
ret[decoded]=value
N1 = ret['GPSInfo'][2][0][0]
N2 = ret['GPSInfo'][2][1][0]
N3 = ret['GPSInfo'][2][2][0]
N=int(N1)+int(N2)*(1.0/60)+int(N3)*(1.0/360000)
E1 = ret['GPSInfo'][4][0][0]
E2 = ret['GPSInfo'][4][1][0]
E3 = ret['GPSInfo'][4][2][0]
E=int(E1)+int(E2)*(1.0/60)+int(E3)*(1.0/360000)
out.write(str(N)+','+str(E)+'\n')
except:
pass
out.close()PS：Python小列子-读取照片位置
Python exifread
Python利用exifread库来解析照片的经纬度，对接百度地图API显示拍摄地点。
import exifread
import re
import json
import requests
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('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)
return {'GPS_information': GPS, 'date_information': date}
def find_address_from_GPS(GPS):
print(GPS)
"""
使用Geocoding API把经纬度坐标转换为结构化地址。
:param GPS:
:return:
"""
secret_key = 'xxxxxxxxxxxxxxxxxxxx' # 百度地图创应用的秘钥
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]
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
GPS_info = find_GPS_image(pic_path='lllll.jpg') # 照片
address = find_address_from_GPS(GPS=GPS_info)
print(address)关于“python如何提取照片坐标信息”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，使各位可以学到更多知识，如果觉得文章不错，请把它分享出去让更多的人看到。
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