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Photo tool nrrdery

Update 1/1/2009: I’ve built some much more sophisticated sets of stats from my Lightroom 2 catalog.

Update 6/27/2007: Lightroom v1.1 is out (it’s real, and it’s spectacular, see the O’Reilly Lightroom Blog for more), and it changes the database from a “library” to a “catalog.” In terms of this little tool, this change seems to only entail changing the filename referred to in the wrapper shell script — as I’ve done, below. Otherwise, generating a focal length histogram seems to work just as it did previously.

Camera Nrrdery

For fun: You can see that I use my fixed 50mm and 21mm lenses far more than anything else I’ve got. That’s because they’re so very pretty.

I use Adobe’s Lightroom to manage my RAW photos. It’s a wonderful, splendid tool. Among its features, it provides a handy metadata browser of your photo library, and includes the ability to browse by lens. Recently James Duncan Davidson mentioned being interested in plotting his use of various focal lengths, and commenters responded with a number of good solutions. Since Lightroom uses a SQLite database for its library, tools like SQLite Browser can be used to scan through the database file itself and export tables, at which point it’s straightforward to grep and find focal lengths. This is pretty slick all by itself, but I thought I’d put together a quick tool to automate the extraction and generation of this data. To do that, I use sqlite3 from the command line to dump the metadata table to a file, and then a short bit of R code finds the focal lengths and builds the histogram. The sqlite3 commands and the R code are invoked via a shell script that makes a copy of the main database to work with and cleans up the temp file when it’s all done.

Howto

If you made this this far, you might actually be interested in how it’s all done. After some tinkering, I found from Jeffrey Friedl’s Blog that Lightroom’s current database needs a newer version of sqlite3 than that which ships with OSX. With that update installed, sqlite3 will handle your Lightroom database without any problems.

Here’s the shell wrapper. Change paths to suit:

#!/bin/bash cp ~/Pictures/Lightroom/Lightroom\ Catalog.lrcat ~/lightroom.lrdb /usr/local/bin/sqlite3 -csv ~/lightroom.lrdb 'select xmp from Adobe_AdditionalMetadata;' > /Users/alan/lr-metadata.csv R CMD BATCH /Users/alan/bin/lr-getfocallengths.R rm ~/lightroom.lrdb rm ~/lr-metadata.csv convert ~/lr-focallengths.pdf ~/lr-focallengths.jpg

And here’s the R code, which lives in lr-getfocallengths.R and is called by the shell script. Again, fix paths for your own circumstances:

lr <- file("/Users/alan/lr-metadata.csv", "r") lrlines <- readLines(lr) temp <- gsub("(/1)", "", lrlines[grep("exif:FocalLength>", lrlines)]) lengths <- as.numeric(gsub("([^[:digit:]])", "", temp)) lengths<-lengths[lengths<=1000] pdf("/Users/alan/lr-focallengths.pdf") hist(lengths, main="Histogram of Focal Length Use",    xlab="Focal length (mm)", ylab="Number", breaks=seq(0,200, by=4)) dev.off()

A few things to note:

  • Depending on how your version of R is compiled, you can use jpeg(…) instead of pdf(…) to make the output file. My R isn’t currently compiled with jpg support, so I build a pdf file and then use convert on it.
  • There’s some noise in the metadata that leads to the erroneous identification of focal lengths like 83456000. That’s not right at all. I skim off everything above 1000 in line 5 of the R code. (Which is still sort of silly. My longest lens is presently 200mm.)
  • Relatedly, the x axis of the histogram only goes up to 200. To change that, modify the seq(0,200, by=4) accordingly — you can change the upper bound as well as the width of the bins.
  • A really slick way to do all this would be to properly parse the exported table in order to combine data, in order to limit the data to, for example, “favorites” by focal length. These aren’t in their own fields in the database, however, but rather all within a single column that holds all an image’s metadata, which makes it harder to select on multiple conditions. That’s a trick for another day.