This is pretty retarded behavior I hope Google adds the option to turn off time-related data display when it’s not wanted. Same behavior if you save the data permanently to “My Places”. To see all the waypoints, you’ll need to move the “start-time-extent” slider all the way to the left: Hitting the play button on the time slider will make the waypoints appear and disappear quickly, and at the end the only waypoint visible will be the last one created the time slider will look like this: If you uncheck the GPS data box in the Places pane to hide the data, then check it again, you’ll see nothing at all except the time slider: You only see all the waypoints when the time slider has run all the way through to the end. The first time you open the file, the time slider will run from start to finish, with waypoints popping up and disappearing as the time indicator hits their creation time. In a recent GPS talk I gave, I surprised some people when I told them that Google Earth can open some GPS-related formats like GPX, LOC and others directly you just need to select the type of files you want to open with the drop-down in the lower-right corner:īut if the waypoints in GPX files come time-stamped, either with the time you created them in the field or in a program, Google Earth assumes that you want to use this time-related data, and brings up a time slider in the upper-left-hand corner: # and after the files modify date, the two fitting geotags will be linearĭef find_and_set_geotag(file, geotags, et, timedelta, tzinfo = pytz.In the process of writing yesterday’s post on Garmin Basecamp, I found an annoying flaw on how Google Earth handles GPX files. # less than "timedelta" from the geotags timestamp. # A geotag is deemed fitting if the difference between the files modify date is # Find a fitting geotag for a media file and write it to the files EXIF metadata. Lst_coord = track_elements.findall("gx:coord", namespaces=ns)įor when, coord in zip(lst_when, lst_coord):ĭt = (when.text, "%Y-%m-%dT%H:%M:%S%z") Lst_when = track_elements.findall("kmlns:when", namespaces=ns) Track_elements = root.find("kmlns:Document/kmlns:Placemark/gx:Track", namespaces=ns) # track_elements = root.find("kmlns:Placemark/gx:Track", namespaces=ns) # Read the Google location history *.kml file and yield the geotags between the start and end date Json.dump(geotags, outfile, indent=4, default=str) # function hook for parsing the "geotag" objects from JSON filesĭef load_geotags_from_json_hook(pairs, format="%Y-%m-%d %H:%M:%S%z"):ĭ = (v, format)ĭef store_geotags_to_json(json_file, geotags): Geotags = json.load(open(json_file, "r"), object_pairs_hook=load_geotags_from_json_hook) # Load geotags stored in a json file in the aforementioned "geotag" object format # to create a single instance to be used in loops etc. # When using functions that require an exiftool instance, use e.g.: # a "geotag" object is a dictionary with this entries: The code is only rudimentary but might be useful as a starting point for others: # I called this script "GeotagHandling.py" and imported functions in the script below. Personally I wanted a little more control over what happens, so I wrote some python code to handle Google's location history, combine it with geotags from other pictures and than apply the list of geotags to my pictures where I can adjust allowed difference in timestamps and also approximate positions between valid timestamps.
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