This SW is released under both 3-clause BSD and Boost licenses. Note that this SW uses OpenCV. Please see relevant license files for that project.
See:
LICNESE.bsd LICENSE.boost
A concise implementation of separable steerable filters via Freeman and Adelson, including second derivative of Gaussian and its Hilbert transform (G2 H2), implemented with the OpenCV C++ API
wget https://github.com/ruslo/polly/archive/master.zip
unzip master.zip
POLLY_ROOT="`pwd`/polly-master"
export PATH="${POLLY_ROOT}/bin:${PATH}"
build.py --install --reconfig --verbose
_install/default/bin/cvsteer_test --demo
Steerable pyramids via Simoncelli http://www.cns.nyu.edu/~eero/steerpyr/