This is a playground. Things will probably work if you install enough dependencies.

To use all the examples here, install these dependencies. Most can be pip installed.

• numpy - http://numpy.scipy.org/
• freenect - https://github.com/OpenKinect/libfreenect
• cv2 - http://opencv.willowgarage.com/
• mdp - http://mdp-toolkit.sourceforge.net/
• scikits.audiolab (requires libsndfile)
• CUDA Toolkit 4.0 - http://developer.nvidia.com/cuda-toolkit-40
  • libcudart.so
  • libnpp.so

Future dependencies:

• Theano
• PyCUDA
• pypy when numpy support is more complete

Performance will vary wildly depending on your setup. Compile opencv yourself to get maximum performance (do not trust pre-packaged versions):

mkdir build
cmake -DWITH_OPENNI=yes -DBUILD_EXAMPLES=yes -DWITH_TBB=yes -DWITH_IPP=yes -DIPP_H_PATH=/opt/intel/ipp/include/ ..

• OPENNI can come from https://github.com/OpenNI/OpenNI
• IPP can come from http://software.intel.com/en-us/articles/non-commercial-software-download/ (tip: the registration forms accepts fake credentials).
• TBB can come from your distro or from http://threadingbuildingblocks.org/file.php?fid=77

After I enabled TBB (from distro) and IPP (downloaded and installed manually), the haar face detector doubled in speed (=> video frame rate doubled).