Image library for Python 3

Question

What is python-3 using instead of PIL for manipulating Images

User · Answer

You want the Pillow library  here is how to install it on Python 3   pip3 install Pillow   If that does not work for you  it should   try normal pip   pip install Pillow

User · Answer

As of March 30  2012  I have tried and failed to get the sloonz fork on GitHub to open images   I got it to compile ok  but it didn t actually work   I also tried building gohlke s library  and it compiled also but failed to open any images   Someone mentioned PythonMagick above  but it only compiles on Windows   See PythonMagick on the wxPython wiki   PIL was last updated in 2009  and while it s website says they are working on a Python 3 port  it s been 3 years  and the mailing list has gone cold   To solve my Python 3 image manipulation problem  I am using subprocess call   to execute ImageMagick shell commands   This method works   See the subprocess module documentation

User · Answer

Christoph Gohlke managed to build PIL  for Windows only  for python versions up to 3 3  http   www lfd uci edu  gohlke pythonlibs   I tried his version of PIL with Python 3 2  and image open create pixel manipulation save all work

User · Answer

The  friendly PIL fork  Pillow works on Python 2 and 3  Check out the Github project for support matrix and so on

User · Answer

If you are on Python3 you can also use the library PILasOPENCV which works in Python 2 and 3  Function api calls are the same as in PIL or pillow but internally it works with OpenCV and numpy to load  save and manipulate images  Have a look at https   github com bunkahle PILasOPENCV or install it with pip install PILasOPENCV  Not all PIL functions have been simulated but the most common functions work

User · Answer

Depending on what is needed  scikit-image may be the best choice  with manipulations going way beyond PIL and the current version of Pillow   Very well-maintained  at least as much as Pillow   Also  the underlying data structures are from Numpy and Scipy  which makes its code incredibly interoperable  Examples that pillow can t handle           You can see its power in the gallery    This paper provides a great intro to it   Good luck

User · Answer

Qt works very well with graphics  In my opinion it is more versatile than PIL   You get all the features you want for graphics manipulation  but there s also vector graphics and even support for real printers  And all of that in one uniform API  QPainter   To use Qt you need a Python binding for it  PySide or PyQt4  They both support Python 3   Here is a simple example that loads a JPG image  draws an antialiased circle of radius 10 at coordinates  20  20  with the color of the pixel that was at those coordinates and saves the modified image as a PNG file   from PySide QtCore import   from PySide QtGui import    app   QCoreApplication      img   QImage  input jpg    g   QPainter img  g setRenderHint QPainter Antialiasing  g setBrush QColor img pixel 20  20    g drawEllipse QPoint 20  20   10  10  g end    img save  output png     But please note that this solution is quite  heavyweight   because Qt is a large framework for making GUI applications

User · Answer

You can use my package mahotas on Python 3  It is numpy-based rather than PIL based

[python] Image library for Python 3

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