The official Graph Signal Processing Toolbox
Project description
PyGSP is a Graph Signal Processing Toolbox implemented in Python. It is a port of the Matlab GSP toolbox.
Development : https://github.com/epfl-lts2/pygsp
GSP matlab toolbox : https://github.com/epfl-lts2/gspbox
Features
Graphs
Basic Graph structure
NNGraph
Bunny
Cube
Sphere
TwoMoons
Grid2d
Torus
Comet
LowStretchTree
RandomRegular
Ring
Community
Minnesota
Sensor
Airfoil
DavidSensorNet
FullConnected
Logo
Path
RandomRing
Filters
Basic Filter structure
Abspline
Expwin
HalfCosine
Itersine
MexicanHat
Meyer
SimpleTf
Papadakis
Regular
Simoncelli
Held
Heat
Installation
Ubuntu
The PyGSP module is available on PyPI, the Python Package Index. If you don’t have pip, install it.:
$ sudo apt-get install python-pip
Ideally, you should be able to install the PyGSP on your computer by simply entering the following command:
$ sudo pip install pygsp
Unfortunately, this command will most likely fail. For some reason, the install will generally fail when it’ll try to install requirements such as numpy and scipy. You’ll need to install them manually by doing so:
$ sudo pip install numpy $ sudo pip install scipy
For a classic UNIX system, you will need python-dev(el) (or equivalent) installed as a system package as well as the fortran extension for your favorite compiler (gfortran for gcc). You will also need the blas/lapack implementation for your system. If you can’t install numpy or scipy, try installing the following and then install numpy and scipy:
$ sudo apt-get install python-dev liblapack-dev libatlas-dev gcc gfortran
If you want to use the plotting functionalities of the PyGSP, you have to install matplotlib or pygtgraph. For matplotlib, just do:
$ sudo apt-get python-matplotlib
Another way is to manually download from PyPI, unpack the package and install with:
$ python setup.py install
Execute the project test suite once to make sure you have a working install:
$ python setup.py test
Project details
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