怎么用python获取到照片拍摄时的详细位置
时间:2023-05-19 15:18
我们的朋友给我们发来一张照片我们如何获取到她的位置呢? 用手机拍照会带着GPS信息,原来没注意过这个,因此查看下并使用代码获取照片里的GPS信息 查看图片文件属性 ExifRead Python library to extract EXIF data from tiff and jpeg files. 安装 读取GPS 运行 我们得到了一个简易的gps地址 如果想要读取全部的拍摄信息: 众所周知gps和百度的经纬度会有误差,那么我们需要调用百度转换接口,这个百度目前没有开源。 然后在主函数输出: 1.照片的地址信息等,一般的手机相机默认是打开的。 2.微信和QQ里面发送原图,信息都会完整的保留下来。 3.代码里面需要处理在照片我放到了代码的同文件夹下,所以没有写路径,大家可以自己写路径,或者放到于代码相同的路径下即可。 以上就是怎么用python获取到照片拍摄时的详细位置的详细内容,更多请关注Gxl网其它相关文章!一.引言
1.读取照片信息,获取坐标
pip install exifread
import exifreadimport redef read(): GPS = {} date = '' f = open("C:\Users\24190\Desktop\小朱学长.jpg",'rb') contents = exifread.process_file(f) for key in contents: if key == "GPS GPSLongitude": print("经度 =", contents[key],contents['GPS GPSLatitudeRef']) elif key =="GPS GPSLatitude": print("纬度 =",contents[key],contents['GPS GPSLongitudeRef']) #print(contents)read()
# 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}
2.通过baidu Map的API将GPS信息转换成地址。
# 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_k ey = 'XXX' 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
二.源码附上!!!
# coding=utf-8import exifreadimport reimport jsonimport requestsimport 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_ke y = '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, locationif __name__ == '__main__': GPS_info = find_GPS_image(pic_path='小朱学长.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))
注意事项