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[Python3] PyRadar fork + despeckle filters NUMBA accelerated

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#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!

Or the colaborator!

Or the guy, who rewritten filters using NUMBA!

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

isodata

Video in better quality: http://www.youtube.com/watch?v=4meidkmJWP0

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