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| from PIL import Image | |
| from PIL.ExifTags import TAGS, GPSTAGS | |
| def get_exif_data(image): | |
| """Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags""" | |
| exif_data = {} | |
| info = image._getexif() | |
| if info: | |
| for tag, value in info.items(): | |
| decoded = TAGS.get(tag, tag) | |
| if decoded == "GPSInfo": | |
| gps_data = {} | |
| for t in value: | |
| sub_decoded = GPSTAGS.get(t, t) | |
| gps_data[sub_decoded] = value[t] | |
| exif_data[decoded] = gps_data | |
| else: | |
| exif_data[decoded] = value | |
| return exif_data | |
| def _get_if_exist(data, key): | |
| if key in data: | |
| return data[key] | |
| return None | |
| def _convert_to_degress(value): | |
| """Helper function to convert the GPS coordinates stored in the EXIF to degress in float format""" | |
| d0 = value[0][0] | |
| d1 = value[0][1] | |
| d = float(d0) / float(d1) | |
| m0 = value[1][0] | |
| m1 = value[1][1] | |
| m = float(m0) / float(m1) | |
| s0 = value[2][0] | |
| s1 = value[2][1] | |
| s = float(s0) / float(s1) | |
| return d + (m / 60.0) + (s / 3600.0) | |
| def get_lat_lon(exif_data): | |
| """Returns the latitude and longitude, if available, from the provided exif_data (obtained through get_exif_data above)""" | |
| lat = None | |
| lon = None | |
| if "GPSInfo" in exif_data: | |
| gps_info = exif_data["GPSInfo"] | |
| gps_latitude = _get_if_exist(gps_info, "GPSLatitude") | |
| gps_latitude_ref = _get_if_exist(gps_info, 'GPSLatitudeRef') | |
| gps_longitude = _get_if_exist(gps_info, 'GPSLongitude') | |
| gps_longitude_ref = _get_if_exist(gps_info, 'GPSLongitudeRef') | |
| if gps_latitude and gps_latitude_ref and gps_longitude and gps_longitude_ref: | |
| lat = _convert_to_degress(gps_latitude) | |
| if gps_latitude_ref != "N": | |
| lat = 0 - lat | |
| lon = _convert_to_degress(gps_longitude) | |
| if gps_longitude_ref != "E": | |
| lon = 0 - lon | |
| return lat, lon | |
| def get_altitude(exif_data): | |
| """ extract altitude if avalaible from the | |
| provided exif_data (obtained through get_exif_data above)""" | |
| alt = None | |
| if "GPSInfo" in exif_data: | |
| gps_info = exif_data["GPSInfo"] | |
| gps_altitude = _get_if_exist(gps_info, "GPSAltitude") | |
| gps_altitude_ref = _get_if_exist(gps_info,'GPSAltitudeRef') | |
| if gps_altitude: | |
| alt = float(gps_altitude[0]) / float(gps_altitude[1]) | |
| if gps_altitude_ref == 1: | |
| alt *=-1 | |
| return alt | |
| def get_timestamp(exif_data): | |
| """ extract the timestamp if avalaible as datetime from the | |
| provided exif_data (obtained through get_exif_data above) | |
| this is more appropriate for garmin GPSmap 62 camera and other | |
| garmin related photo with geotags. Dirty tricks but need to be | |
| formated a little more""" | |
| dt = exif_data['DateTime'] | |
| return dt | |
| ################ | |
| # Example ###### | |
| ################ | |
| if __name__ == "__main__": | |
| image = ... # load an image through PIL's Image object | |
| exif_data = get_exif_data(image) | |
| print get_lat_lon(exif_data) |
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This is to clean up a snippet of python exif extract to meet a specific need for field team with Garmin GPS that has camera . The main goal is to loop through folder with lots of photos and create a .gpx files. For now, I can create a .csv files with the following info (fileName, Lat, Lon, Alt, dateTime) and export to .gpx . Last piece to do that does take an hour : format the output with gpxpy lib to have .gpx ready for different viewing platform.