Releases: fwilliams/point-cloud-utils
Releases · fwilliams/point-cloud-utils
Don't build with MKL by default in setup.py
- Don't build with MKL unless
--use-mkl' flag is passed or
USE_MKL` environment var is set- MKL is hard to install if you're not using conda and I don't want to break pip users. I'll enable it by default in conda.
Bump version of numpyeigen
- Bump numpyeigen version which now inclcudes Python.h before numpyarrayobject.h.
- This should fix older versions of numpy
Make numpyeigen a CMake external project
- git submodules suck, move numpyeigen to be a CMake external project instead.
- Make MKL required if it is enabled
Intel MKL Support
- Added optional MKL support from CMake
- Cleaned up
setup.py
so things should be buildable from conda
Initial release of pcu
First set of functionality in pcu:
- Various ways to generate point samples on meshes
- uniform random
- Poisson disc sampling
- Lloyd relaxation
- Hausdorff distances and pairwise nearest neighbor queries