I like to geotag my photos, but I don’t always have a GPS. A while ago, I got an eyefi card that can record some geolocation information. However, this is based on the wifi hotspots on the neighborhood and that does not work very well in the wild.
After reinstalling from scratch on the SSD, I had some issues to get Picasa 3.9 up again:
Library mscms.dll (which is needed by LC:\\Program Files\\Picasa3\\Picasa3.exe) not found
A family gathering with ten different photographers shotting every moment. You end up with thousands of photos that need to be organized at least in sequence over the time (to make a slide-show, for example).
Most common images are coded on 8 bits (24 if you have three channels for the colors) which gives 256 different values. The problem is that the human eye sensitivity spans a great range of luminosity and can adapt fast to different contrast. As a results, photos taken on a places with important contrast will look over or under exposed.
Few days ago Google release an open source library targeted at KML files: libkml. There is also bindings for python available.
If you’ve followed earlier intructions on tagging your photos, you now have a set of photos with the gps location information on the exif tag. As we have seen on a previous article on blog-mapping, it is pretty easy to insert Google maps on a website.
Un appareil photo d’un côté, un tracker GPS de l’autre… il est tentant de combiner les info. Ce n’est pas pratique (ou même pas possible) dans la plupart des cas de connecter directement les deux appareils.