I suggest you check for PyPylon project. It seems to have a more active development and it has an approach that make it evan thinner than this one.
'Development Status :: 1 - Planning'
'License :: OSI Approved :: 'GNU Lesser General Public License v3 or later (LGPLv3+)'
It requires to have pylon SDK installed. Check Basler site. The developers are checking the development in pylon major releases from 3 and 5 over linux systems with architectures of 32 and 64 bits. The python versions are 2.7 and 3.4.
Highlight that this is underdevelopment and the master branch is not stable.
Environment load
To load the environment variables one should execute:
$ source env.sh pylon X
Where 'X' means the pylon SDK major version installed in the system.
##Build
Get the sources from a git repository, like can be:
$ git clone git@github.com:srgblnch/python-pylon.git
$ cd python-pylon
Call the setup.sh that will stablish the environment for itself to call the python setup.py build for you.
$ ./setup.sh pylon 5
Then a python console should return this:
>>> import pylon
>>> pylon.VersionAPI()
'5.0.1-6388'
>>> pylon.Version()
'0.0.0-0'
There is no default compilation version and it must be specified in the setup.sh and the env.sh scripts. For example, with pylon 3:
$ ./setup.sh pylon 3
With the answer:
>>> import pylon
>>> pylon.VersionAPI()
'3.2.1-0'
It may work with pylon 4 and probably not with pylon2.
Finally there is a command to clean as an argument of the setup.sh.
##Usage
Once have the pylon.so build and placed in the python path, the use can began:
>>> import pylon
>>> factory = pylon.Factory()
>>> factory.nCameras
3
>>> factory.camerasList
[2NNNNNN0 (scA1000-30gm), 2NNNNNN1 (acA1300-30gc), 2NNNNNN3 (acA1300-30gc)]
>>> factory.cameraModels
['scA1000-30gm', 'acA1300-30gc']
>>> camera = factory.getCameraBySerialNumber(2NNNNNN1)
>>> camera.ipAddress
'NNN.NNN.NNN.NNN'
>>> camera.isOpen
False
>>> camera.Open()
>>> camera.isOpen
True
>>> acquisition = camera.Snap()
>>> import matplotlib.pyplot as plt
>>> plt.imshow(acquisition)
>>> plt.show()