pythonOCC is a python library whose purpose is to provide 3D modeling features. It's intended to developers who aim at developing a complete CAD/PLM application, and to engineers who want to have a total control over the data during complex design activities.
This file explains how to build pythonocc-core from source on Windows, Linux or MacOSX platforms.
pythonOCC needs the following libraries or programs to be installed before you can compile/use it :
-
the python programming language (http://www.python.org). Python 2.7 and 3.x are officially supported,
-
OpenCascade Community Edition 0.18.x (https://github.com/tpaviot/oce),
-
FreeType 2.6.3 (https://www.freetype.org/),
-
SWIG 3.0.9 or higher (http://www.swig.org),
-
CMake 2.8 or higher (http://www.cmake.org).
Important: the OCE version has to match the pythonocc-core version, which is currently 0.18.x
- Optional : smesh-6.7.4 (https://github.com/tpaviot/smesh)
git clone git://github.com/tpaviot/pythonocc-core.git
cd pythonocc-core
mkdir cmake-build
cd cmake-build
The configuration steps uses cmake:
cmake ..
By default, cmake looks for oce include headers in /usr/local/include/oce and libraries in /usr/local/include/lib. If these paths don't match your installation, you have to set OCE_INCLUDE_PATH and OCE_LIB_PATH:
cmake -DOCE_INCLUDE_PATH=/your_oce_headers -DOCE_LIB_PATH=/your_lib_dir ..
And launch the build process
make
If you have many cpus, you can increase the compilation speed with:
make -j$ncpus
According to your machine/os/ncpus, the total compilation time shold be between 5 to 15 minutes.
Then
make install
You may require admin privileges to install
sudo make install
In order to check that everything is ok, run the pythonocc unittest suite:
cd ../test
python run_tests.py
You can also run the examples avalaible in the pythonocc-core/examples directory.