Metadata-Version: 2.1
Name: wbia-pyflann
Version: 4.0.0
Summary: FLANN - Fast Library for Approximate Nearest Neighbors
Home-page: https://github.com/WildbookOrg/flann
Author: Jon Crall, Marius Muja, WildMe Developers
Author-email: dev@wildme.org
License: BSD
Description: =====================
        Wildbook IA - PyFlann
        =====================
        
        |Build| |Pypi| |ReadTheDocs|
        
        FLANN - Fast Library for Approximate Nearest Neighbors! - Part of the WildMe / Wildbook IA Project.
        
        This is a Fork of the FLANN repo, under a different name for use in the Wildbook
        project. The main difference is that it has a few more helper function calls
        and it should be easier build wheels and to pip install.
        
        FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset.
        FLANN is written in C++ and contains bindings for the following languages: C, MATLAB, Python, and Ruby.
        
        
        Documentation
        -------------
        
        Check FLANN web page [here](http://www.cs.ubc.ca/research/flann).
        
        Documentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.
        
        More information and experimental results can be found in the following paper:
        
          * Marius Muja and David G. Lowe, "Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration", in International Conference on Computer Vision Theory and Applications (VISAPP'09), 2009 [(PDF)](http://people.cs.ubc.ca/~mariusm/uploads/FLANN/flann_visapp09.pdf) [(BibTex)](http://people.cs.ubc.ca/~mariusm/index.php/FLANN/BibTex)
        
        
        Getting FLANN
        -------------
        
        If you want to try out the latest changes or contribute to FLANN, then it's recommended that you checkout the git source repository: `git clone git://github.com/mariusmuja/flann.git`
        
        If you just want to browse the repository, you can do so by going [here](https://github.com/mariusmuja/flann).
        
        
        Build and Installation
        ----------------------
        
        This package requires the following system dependencies:
        
         - lz4 (in debian as liblz4)
         - pkg-config (in debian as pkg-config)
         - gcc (use build-essential in debian)
        
        For development use the ``run_develop_setup.sh`` script.
        
        Conditions of use
        -----------------
        
        FLANN is distributed under the terms of the [BSD License](https://github.com/mariusmuja/flann/blob/master/COPYING).
        
        
        .. |Build| image:: https://img.shields.io/github/workflow/status/WildbookOrg/wbia-tpl-pyflann/Build%20and%20upload%20to%20PyPI/master
            :target: https://github.com/WildbookOrg/wbia-tpl-pyflann/actions?query=branch%3Amaster+workflow%3A%22Build+and+upload+to+PyPI%22
            :alt: Build and upload to PyPI (master)
        
        .. |Pypi| image:: https://img.shields.io/pypi/v/wbia-pyflann.svg
           :target: https://pypi.python.org/pypi/wbia-pyflann
           :alt: Latest PyPI version
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/wbia-tpl-pyflann/badge/?version=latest
            :target: http://wbia-tpl-pyflann.readthedocs.io/en/latest/
            :alt: Documentation on ReadTheDocs
        
Platform: UNKNOWN
Classifier: Development Status :: 6 - Mature
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Unix
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Description-Content-Type: text/x-rst
Provides-Extra: all
Provides-Extra: tests
Provides-Extra: build
Provides-Extra: runtime
