>>> i = Image.open("blue.jpg")
>>> i.size
(3008, 2000)
>>> i.mode
'RGB'
'RGB' is the value for color jpeg images. I believe that for black&white
images, i.mode is 'L' (luminosity).
If you want to determine whether an existing image is landscape or portrait,
then just compare i.size[0] (width) and i.size[1] (height).
If by "determine if an image is horizontal/vertical", you want to find
the orientation data recorded by some digital cameras, you can do that
with PIL 1.1.4. According to the release notes for 1.1.4,
+ Added experimental EXIF support for JPEG files. To extract EXIF
information from a JPEG file, open the file as usual, and call the
"_getexif" method. If successful, this method returns a dictionary
mapping EXIF TIFF tags to values. If the file does not contain EXIF
data, the "_getexif" method returns None.
The "ExifTags" module contains a dictionary mapping tags to tag
names.
This interface will most likely change in future versions.
The exif tag 274 is Orientation. The values you'll see most often are 1
(Normal), 6 and 8 (90 and 270 degree rotations). Orientation can also encode
180 degree rotation, as well as any of the four rotations combined with a
mirror operation.
>>> [k for (k,v) in ExifTags.TAGS.items() if v == 'Orientation']
[274]
>>> e = i._getexif()
>>> if e: print e[274]
1
I have written a standalone Python module that reads and changes the EXIF
orientation data. You can view it here:
http://unpy.net/cgi-bin/viewcvs.cgi/aethertool/disorient.py?rev=1.2&content-type=text/vnd.viewcvs-markup
It is available under the terms of the GNU GPL.
Here's another page about EXIF orientation data:
http://sylvana.net/jpegcrop/exif_orientation.html
Jeff
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