3/21/2023 0 Comments Exiftool use gps data for taken![]() I received the file you sent me and can find nothing missing in it. ![]() Does anyone have an idea what I can do?ĭxO PhotoLab 5.3.1 (4762) with ViewPoint and Filmpack Even if I open and close both programs individually, the newly entered GPS data are not accepted in PhotoLab, although other programs, such as IrfanView’s Exif display, display them. Today all of a sudden it doesn’t work anymore. These were then immediately displayed in PhotoLab. Sometimes I even had GeoSetter and PhotoLab open at the same time and was able to add missing geodata to the RAW file while editing with GeoSetter. In these cases I enter the data with the small program GeoSetter (uses ExifTool), as well as my IPTC data.Īll of this is usually displayed correctly in PhotoLab and later exported to other formats. Occasionally, however, it happens that the Bluetooth connection between the smartphone and the camera does not work or does not work quickly enough and the corresponding fields then remain empty. These are then displayed correctly in PhotoLab. # labeling_0.3 stringi_1.1.1 munsell_0.4.I usually record geodata/GPS data directly in the RAW file while taking photos using my camera and smartphone. # loaded via a namespace (and not attached): # stats graphics grDevices utils datasets methods base ![]() # LC_MONETARY=Italian_Italy.1252 LC_NUMERIC=C # LC_COLLATE=Italian_Italy.1252 LC_CTYPE=Italian_Italy.1252 # Running under: Windows 10 圆4 (build 14393) SessionInfo() # Present some nice session info for reproducibility # R version 3.3.1 () Ggmap(mapImage, extent = "device") + geom_point(aes(x = GPSLongitude, y = GPSLatitude), data = mydf, colour = "red", size = 3) + ggtitle (mytitle) MapImage <- get_googlemap(center = c(lon = median(mydf$GPSLongitude), lat = median(mydf$GPSLatitude)), zoom = 16, size = c(500, 500), maptype = c("hybrid")) # Notice we are using the "hybrid" map type to display additional information on the map Print(address) # "Via Lago Ninfa, 41029 Sestola MO, Italy" mytitle <- paste(address, mydf$DateTimeOriginal) # Puts our address and date/time together for our title Ggmap(mapImage, extent = "device") + geom_point(aes(x = GPSLongitude, y = GPSLatitude), data = mydf, colour = "red", size = 3)įinally, we can also add the location (reverse geocoded from our coordinates), the date and time data as a title, and some additional info from the Google Maps “hybrid” layer: address <- revgeocode(location = c(mydf$GPSLongitude, mydf$GPSLatitude)) # reverse geocoding We’ll redraw the map and add a point, using ggplot syntax, getting the point info from the data frame we created in the previous section: mapImage <- get_googlemap(center = c(lon = median(mydf$GPSLongitude), lat = median(mydf$GPSLatitude)), zoom = 16, size = c(500, 500), maptype = c("satellite")) Now we just have to add our photo location. Nice, isn’t it? If you are curious, you can take a look at the original photo here (yes, there was a lake!). ![]() Ggmap(mapImage, extent = "device") # Plot the map We will use a more complete command to plot the map around our photo location: mapImage <- get_googlemap(center = c(lon = median(mydf$GPSLongitude), lat = median(mydf$GPSLatitude)), zoom = 16, size = c(500, 500), maptype = c("satellite")) # Save our map (calculating the median is useless with one point only, but allows for future development with additional points) So, to center the map on a single point, we must use the coordinates we extracted from the photo in the previous section. This is not the case of our geodata, saved as coordinates (latitude/longitude) in our EXIF data. The results will appear in your R plot output device.įor instance, to start with a simple example, let’s make a nice map of my hometown, with the quick command qmap: qmap("Modena", maptype = 'satellite', zoom = 16) # You can specify additional parametersĪs you can see, the mapping commands understand addresses and city names, converted to coordinates through instant geocoding by Google APIs. Ggmap allows for easy mapping through Google Maps.
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