Google Photosphere XMP, GPS cross-platform tagging method

Опубликовано: 16-12-2013, 15:48
Rapidly entered in the trend - new service Google Maps Views. It is possible that many panoramic photographers wanted for a long time. But the complexity of tagging non-android devices, forced to lose many time via on-line tagging service.

This method gives you faster speed in GPS, XMP tagging and even for batch processing your photospheres (3D panoramas).

Not yet invented (hopefully soon) "all in one" - is temporarily make your life easier. To do this, we need two nice programs and one midstream - ExifTool. You'll be able to very quickly and most importantly - to visually set the data for your own files. And even the exact direction in the North!

Download:
pyExifToolGUI (and refer to the manual for proper installation for different OSs)
Is completely free - http://hvdwolf.github.io/pyExifToolGUI/

Pano2VR - this shareware, but ... for the needs of our trial program features are fully functional are available to take us to the result required. To do this - it's free :) - http://ggnome.com/pano2vr#downloads

*We use only a small possibility GUI set our data. And that's all... If you are tuned for more, then buy this program.

The first thing that we need - is to enter the XMP data in a file in order to service Google Maps Views recognized as a spherical panorama projection. You can do this manually or use pyExifToolGUI my template from which will copy the data set, you can also make your such a template. Default is the my optimal size, which will differ from your original - 8000x4000px.

Download my template (just black cover) - photosphere_tagging_template.jpg (XMP only).

Second - you must install the GPS data. I think for this more comments not need, because in the video is clear and understandable.

But I want in finally say a terrible secret - GPS data no need at all, only XMP. You can set coordinates when upload photosphere on the service. I injected the GPS to a file, simply because so looks like as complete workflow :)))

Good day and mood.