A little funny little piece of New York at the Railway Station of Helsinki: A Grand Central Terminal clock. I used the images of this clock to test the script.
While I enjoy taking photographs a lot their trivial manipulating annoys me: scaling and rotating which usually suffices for a blog post takes a lot of precious time. Modern DSLRs are that good. It makes sense to automatize some of this process and Python spiced with PIL and pyexiv2 is a fine solution.
So what I wanted was just a simple tool which scales the size down and rotates the images according to the EXIF data. Before I had an earlier version of this script I worked like this:
I copied the pictures from my camera to my computer to a directory named like 2012/02/Title of the Post/orig. The pictures are in JPG and RAW formats.
I I hard linked the JPG images from the directory orig to directory cand.
I used Gwenview, a nice KDE image viewer, to select and delete the pictures from the cand directory.
Then I used Gimp to scale and rotate the images. This can be easily done from Gwenview.
But eliminating phases two and four are trivial so let's get to work.
I'm a unix/linux geek and I use a recent Kubuntu for my everyday computing needs so installing all this software is very straightforward.
# apt-get install python-imaging python-imaging-doc python-imaging-doc-html python-pyexiv2 python-pyexiv2-doc
After a few hours of hacking the code was ready for use. It's a rather typical, compact Python code. It's written for personal use so the testing was pretty slight. If you use it and find bugs I would appreciate email to email@example.com.
On the Net
Some market speak for pyexiv2