用python解释exif数据的GPS信息
我正在写一个小程序来获取iphone jpg照片的GPS信息。
我使用的库是python中的PIL。现在我可以得到GPSInfo了,它类似于:
{1: N, 2: ((1, 1), (20, 1), (5365, 100)), 3: E, 4: ((103, 1), (41, 1), (1052, 100)), 5: 0, 6: (43, 1), 7: ((15, 1), (32, 1), (7, 1)), 16: T, 17: (77473, 452), 29: 2013:10:25}
我怎么解释?我注意到标签是不连续的,所以是否有任何作弊表,我可以参考,以便更好地了解所有的数字标签和他们的意思?谢谢您!
更新
对不起,我想出来了。在PIL库中,有一个GPSTAGS.get()函数可以帮助我解码gps信息中的密钥。谢谢你们!
gpsinfo = {} for key in exif[GPSInfo].keys(): decode = ExifTags.GPSTAGS.get(key,key) gpsinfo[decode] = exif[GPSInfo][key] print gpsinfo
结果是
{GPSTimeStamp: ((15, 1), (32, 1), (7, 1)), GPSImgDirectionRef: T, GPSImgDirection: (77473, 452), GPSLongitude: ((103, 1), (41, 1), (1052, 100)), GPSLatitudeRef: N, 29: 2013:10:25, GPSAltitude: (43, 1), GPSLatitude: ((1, 1), (20, 1), (5365, 100)), GPSLongitudeRef: E, GPSAltitudeRef: 0}
3条回答
网友
1楼 ·
OP,已经发布了一个使用PIL的解决方案。如果您只想从Python获取GPS信息,可以使用
使用pip安装包
$ pip install exifread
获取GPS数据
In [10]: import exifread In [11]: tags = exifread.process_file(open(./tests/demo-project/content/test.jpg, rb)) In [12]: geo = {i:tags[i] for i in tags.keys() if i.startswith(GPS)} In [13]: geo Out[13]: {GPS GPSAltitude: (0x0006) Ratio=186188/239 @ 898, GPS GPSAltitudeRef: (0x0005) Byte=0 @ 722, GPS GPSDate: (0x001D) ASCII=2015:12:06 @ 954, GPS GPSDestBearing: (0x0018) Ratio=43771/526 @ 946, GPS GPSDestBearingRef: (0x0017) ASCII=T @ 806, GPS GPSImgDirection: (0x0011) Ratio=43771/526 @ 938, GPS GPSImgDirectionRef: (0x0010) ASCII=T @ 782, GPS GPSLatitude: (0x0002) Ratio=[46, 3803/100, 0] @ 850, GPS GPSLatitudeRef: (0x0001) ASCII=N @ 674, GPS GPSLongitude: (0x0004) Ratio=[13, 2429/100, 0] @ 874, GPS GPSLongitudeRef: (0x0003) ASCII=E @ 698, GPS GPSSpeed: (0x000D) Ratio=139/50 @ 930, GPS GPSSpeedRef: (0x000C) ASCII=K @ 758, GPS GPSTimeStamp: (0x0007) Ratio=[10, 37, 33] @ 906, GPS Tag 0x001F: (0x001F) Ratio=30 @ 966}
网友
2楼 ·
使用exifread模块。
这里有一个非常有用的
import exifread as ef # barrowed from # https://gist.github.com/snakeye/fdc372dbf11370fe29eb def _convert_to_degress(value): """ Helper function to convert the GPS coordinates stored in the EXIF to degress in float format :param value: :type value: exifread.utils.Ratio :rtype: float """ d = float(value.values[0].num) / float(value.values[0].den) m = float(value.values[1].num) / float(value.values[1].den) s = float(value.values[2].num) / float(value.values[2].den) return d + (m / 60.0) + (s / 3600.0) def getGPS(filepath): returns gps data if present other wise returns empty dictionary with open(filepath, r) as f: tags = ef.process_file(f) latitude = tags.get(GPS GPSLatitude) latitude_ref = tags.get(GPS GPSLatitudeRef) longitude = tags.get(GPS GPSLongitude) longitude_ref = tags.get(GPS GPSLongitudeRef) if latitude: lat_value = _convert_to_degress(latitude) if latitude_ref.values != N: lat_value = -lat_value else: return {} if longitude: lon_value = _convert_to_degress(longitude) if longitude_ref.values != E: lon_value = -lon_value else: return {} return {latitude: lat_value, longitude: lon_value} return {} file_path = file path of the file gps = getGPS(file_path) print gps
网友
3楼 ·
迟回答,但截至2019年,您可以使用,即:
from GPSPhoto import gpsphoto # Get the data from image file and return a dictionary data = gpsphoto.getGPSData(IMG_20181224_201933.jpg) print(data[Latitude], data[Longitude])
输出:
安装:
pip install GPSPhoto