Jonathan Helmus
78a0eb6b98
Implement Appveyor builds initial test Updated appveyor.yml New nosetest call With conda update conda with pillow without pillow TST: Change case sensitivive JPG extension Revert "TST: Change case sensitivive JPG extension" This reverts commit 2deed7cc63736f7c6f0387bd37df4c6643c32847. Trying with Python 2.7 Trying with version env Trying again with variables Testing on all Python versions don't allow failures Allow failure Do not actually use tests Ignore failing tests Removed Python 2.6 test Testing only Python 2.6 Testing out more sklearn like AppVeyor CI Added install to pip Add artifacts Enabled all permutations Disable 2.6, add PIL Python 2.6, 2.7 only with PIL Testing with variable dependencies Allow failure with IF ELSE With Python 3.4 Scikit-learn like appveyor CI Fixing paths Undo path fix path fix single line path fix single line 2 Using Miniconda More path fixes New wheelhouse link Added pillow to requirements.txt Added networkx to requirements.txt Add testing of 32/64-bit Python 2.7 and 3.4 to matrix Debugging Cython compile Retry with all 4 builds Updated install.ps1 file Updated based on latest python-appveyor-demo Debugging pip install Specify numpy 1.8.1 until whl is uploaded to rackspace Use skimage-wide requirements.txt file Minor comment change to trigger build Install wheel and then install from WHEELHOUSE Install six from pip Install networkx from pip Install pyparsing from pip Install pytz from pip Try using just find-links Install the binary dependencies first, then the rest Add pillow to the install list Fix appveyor.yml syntax Fix requirements.txt syntax Fix requirements.txt syntax again Fix appveyor call to initial install Fix appveyor call to initial install again Fix appveyor call to initial install yet again Install wheel Install wheel first Install wheel and nose in the appveyor requirements.txt Fix Python3 version to match python ftp site Only use cleanup decorator if available Add debug info to multiimage test More debugging information Fix handling of path separators on Windows Add another warning guard Fix warning handling for non-windows Do not use TkAgg as it may be causing alloc error Clean up echo command Allow for unclosed file warning Fix spacing in echo command
scikit-image: Image processing in Python
- Website (including documentation): http://scikit-image.org/
- Mailing list: http://groups.google.com/group/scikit-image
- Source: https://github.com/scikit-image/scikit-image
Installation from binaries
- Debian/Ubuntu:
sudo apt-get install python-skimage - OSX:
pip install scikit-image - Anaconda: ``conda install scikit-image
- Windows: Download Windows binaries
Also see http://scikit-image.org/docs/dev/install.html
Installation from source
Install dependencies using:
pip install -r requirements.txt
Then, install scikit-image using:
$ pip install .
If you plan to develop the package, you may run it directly from source:
$ python setup.py develop # Do this once to add pkg to Python path
$ python setup.py build_ext -i # Build binary extensions
License (Modified BSD)
Copyright (C) 2011, the scikit-image team All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of skimage nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.