First, test volumina
$ python setup.py nosetests
and then install:
$ python setup.py install
In the following we assume an Ubuntu system.
After you entered a virtual environment you can automatically execute all the steps documented below by calling
$ ./install-development-reqs-virtualenv-ubuntu.sh
from the "requirements" directory in the volumina repository. Note, that we use distribute instead of setuptools.
So, create your virtualenvs using mkvirtualenv --distribute.
- Virtual Python Environment
Make a new virtualenv for volumina
$ virtualenv --distribute voluminave/
and activate it
$ source voluminave/bin/activate
- Linking to PyQt and Sip
Installing PyQt/Sip via pip is currently (May 2012) broken. Therefore install the development versions of Qt4, Sip, and PyQt4 globally and link them into the virtual environment:
$ cd voluminave/lib/python2.7/site-packages/
$ ln -s /usr/lib/python2.7/dist-packages/PyQt4/
$ ln -s /usr/lib/python2.7/dist-packages/sip.so
$ ln -s /usr/lib/python2.7/dist-packages/sipdistutils.py
$ ln -s /usr/lib/python2.7/dist-packages/sipconfig.py
$ ln -s /usr/lib/python2.7/dist-packages/sipconfig_nd.py
- Building the development requirements
Make sure that g++ is installed on your system besides the usual gcc C++/C development toolchain. qimage2ndarray depends on numpy without requiring the dependency (as of June 2012). Therefore we need to install our requirements in a two stage procedure:
$ pip install -r requirements/development-stage1.txt
$ pip install -r requirements/development-stage2.txt