[Baypiggies] Presentation on PIL at August 22 meeting

Garrett Davis garrettdaviscpa at gmail.com
Thu Aug 1 04:01:33 CEST 2013


Hi, fellow baypiggies,

I volunteered to do a talk on the Python Imaging Library ("PIL") for our
August meeting.  Here are my first-impressions on what I intend to cover.
If you have any suggestions, or specific questions about PIL,
please send them to me and I'll try to accommodate them in the talk,
time and my knowledge permitting.


Abstract:

Could you use PIL to program a self-driving car?  Probably not.
But if you have Photoshop, or envy people who have it,
and you want to do cool Photoshop tricks inside a Python program,
you should check out the PIL package.
You can write familiar-looking Python source code to work with images
using PIL, but it has C code to do the heavy number-crunching quickly.
There are versions of PIL for Windows, Linux, and Max OS-X.
PIL doesn't work with Py3.x or 64-bit Python, but there is a 'fork' of PIL,
called Pillow, which does.

We will see how to use PIL for things like these:
 * image cropping, resizing, 'noise cleaning'
 * 'Watermarking': embed a copyright notice into a photo
 * 'Green-screen' editing: paste your face into the Last Supper painting

 And we'll talk about applications in image analysis, like these:
 * Motion detection, using a webcam
 * Text recognition ("OCR")
 * Face recognition
 * License-plate recognition, like they have on toll bridges and highways

Links:

PIL overview: links to downloads and documentation
    effbot.org/zone/pil-index.htm


"Pillow: the sequel"
    https://github.com/python-imaging/Pillow


Speaker:

Gary Davis has been writing programs, large and small, since 1964.
He used to write huge programs for insurance companies, but now he is
doing real-time scorekeeping at auto races, using a video camera
and image-recognition software written with Python and PIL.
He will probably show photos, and tell stories, from the Monterey Reunion
historic car races, where he will be running his video-scoring system
the weekend before the talk.
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