Welcome to the PyCA wiki!
Required / Optional Dependencies
- Linux is the only operating system supported at this time. We currently have preliminary Mac support and preliminary Windows support.
The build system uses CMake. The current required prerequisites are:
- C++ Compiler (gcc preferred: see this commit if you have version 4.7+)
- CMake 2.8+
- SWIG 2.x
- CUDA (any version)
- Python (version 2.7 or lower: see Python/numpy Issues)
- boost headers and runtime
- numpy (development version including headers required)
The following are optional:
- matplotlib 1.1.1+ (for full functionality in PyCA.Display and reading / writing png images)
- scipy (some additional image/linear algebra functionality)
- ITK (for reading/writing image formats other than png)
- Doxygen (for generating html documentation and python docstrings)
Building the library:
Clone the git repository:
git clone email@example.com:scicompanat/pyca.git [local directory to create]
If you omit the [local directory to create] it will just be cloned into a directory named 'pyca'. By default you will be on the latest development version. To check out a stable version, enter the source directory (
cd pyca) and run
git tag -l to see available versions, and check out the latest one. For example:
> cd pyca > git tag -l v0.00 v0.01 > git checkout v0.01 [some output here] > cd ..
Next create a build directory and use cmake to configure the build:
mkdir pyca-bin cd pyca-bin ccmake ../pyca
Hit 'c' to perform initial configuration. The default install location (
~/python/site-python. You can change this value if desired. If you want ITK support for reading / writing file formats and you've built ITK yourself (Note that ITK should be built with BUILD_SHARED_LIBS ON in order to enable the -fPIC flag), you may have to enter the build directory in the
ITK_DIR entry. It's okay if
CUDA_SDK_ROOT_DIR is not found. Press 'c' a few times until you get the 'g' (generate) option, then press 'g' to generate the build. You'll be dropped back to the shell, where you can build and install the project
make make docstring make install
make docstring is optional and required Doxygen (this command inserts Doxygen documentation into python docstrings). Make sure your python path is set to your installation directory by running the following or adding it to your
You can then run the examples in the Examples directory, e.g.
From the Testing directory, all tests can be automatically discovered and run using unittest:
python -m unittest discover -v -p '*UnitTest.py'
This will just give a pass/fail status on each test. To run an individual test with graphical results, the tests can be run individually from within IPython, for example to run the test_Exp test from CpuGpuUnitTest:
import CpuGpuUnitTest as cgtest cgtc = cgtest.CpuGpuTestCase() cgtc.test_Exp(disp=True)
Tutorials and Web Documentation
We have web tutorials that are IPython notebooks
- Introduction to Image3D and Field3D types (view / download)
- Standard numerical operations (view / download)
- Displaying (no tutorial yet)
- I/O (no tutorial yet)
- Difference operations/Gradients (no tutorial yet)
- Applying deformations (no tutorial yet)
- Memory Manager (no tutorial yet)
- Multiscale Operations (no tutorial yet)
- Filtering (no tutorial yet)
If you download the ipython, simply run
ipython notebook _TutorialName_.ipynb
on the downloaded tutorial and it will open an interactive session in your browser.
The examples in the Examples directory can be run simply as (for example running ROFTV.py):
or from IPython:
Note that these examples require matplotlib. For setup issues see the matplotlib setup page
See this page
See this page
Preliminary windows support is being actively developed. Check this wiki page for the latest status of PyCA on Windows.