[PYTHON IMAGE-SIG] The Official Image SIG Resource List

Fredrik Lundh fredrik_lundh@ivab.se
Wed, 14 Aug 1996 12:10:13 +0200

The Official Image SIG Resource List
------------------------------------ 1.0/96-08-14/F

Here's some pointers to stuff related to this group:

* The Python Imaging Library (by Fredrik Lundh)

   PIL adds an Image object to the Python interpreter.  The current
   release (0.1b1) reads and writes various image file formats,
   provides cut/paste, colour conversion, resize, rotate and
   arbitrary affine transforms, channel and point operations,
   simple graphics, PostScript printing, a Tk interface, a few
   utilities, and documentation.

   Release 0.2(b1) will be released later this month.  It adds
   display support for PythonWin, more formats, enhanced graphics
   support, an improved Matrix interface, and more.


* The IMG library (by Jack Jansen)

   Reads and writes a variety of file formats, and displays
   images on X and Mac systems.  An interface to the Imaging
   Library is available.


* The GD library (by Richard Jones)

   'It allows your code to quickly draw images complete with lines,
    arcs, text, multiple colors, cut and paste from other images, and
    flood fills, and write out the result as a .GIF file. This is
    particularly useful in World Wide Web applications, where .GIF
    is the format used for inline images.'


   Also check out Richard's really cool HTTP statistics tool, which
   uses gd to create diagrams.

* The Python Khoros Interface Module (by Raymond Suorsa)

   The PKIM interface provides a Python interface to the Khoros
   image processing library.


   Note that this module is no longer being maintained.  The most
   recent release was tested with Python 1.2 and Khoros2.0.2+p2DR.

You can also fetch the list archive, by sending a message containing
"get index-sig.archive" to "image-sig-request@python.org".

Questions, comments and other ramblings are welcome.  Post to
image-sig@python.org, or mail me at fredrik_lundh@ivab.se.


IMAGE-SIG - SIG on Image Processing with Python

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