#pyradar PyRadar fork GIT repository. Filters are NUMBA-powered; So, new requirement is NUMBA | Filter | No NUMBA | NUMBA | |------------------------------|---------------------|---------------------| | Frost on 256x256 patch | 9.72s | 0.51s | | Kuan on 256x256 patch | 5.38s | 0.05s | | Lee on 256x256 patch | 5.47s | 0.05s | | LeeEnchanced on 256x256 patch| 5.46s | 0.12s | ## Installing GDAL for Python3 To not get numpy messed by obsolete version from repo, you can just install gdal apt-get download python3-gdal dpkg --force-all -i <name of the .deb files you downloaded> ## Contact Information Mail the authors! * Herranz, Matías <matiasherranz@gmail.com> * Tita, Joaquín <joaquintita@gmail.com> Or the colaborator! * Cabral, Juan B. <jbc.develop@gmail.com> Or the guy, who rewritten filters using NUMBA! * Nanopony <sddeath@gmail.com> ### The docs are in readthedocs.org http://pyradar-tools.readthedocs.org ### This is an example of what you can achieve with PyRadar: Isodata clasification algorithm <img align="CENTER" src="https://raw.github.com/PyRadar/pyradar/master/stuff/imgs/isodata.gif" alt="isodata"/> Video in better quality: http://www.youtube.com/watch?v=4meidkmJWP0