Metadata-Version: 2.1
Name: wbia-pydarknet
Version: 3.0.1
Summary: PyDarknet - Random Forest / Hough Voting Detection Algorithm
Home-page: https://github.com/WildbookOrg/wbia-tpl-pydarknet
Author: Jason Parham
Author-email: dev@wildme.org
License: BSD
Description: Random Forest / Hough Voting Detection Algorithm
        ================================================
        
        Unix / Mac compatible distribution based on the Random Forest code developed by Gall et. al.
        
        The code has been parallelized in specific spots using OpenMP to help speed up training
        and detection.  A Python wrapper has also been created to help with ease of testing.
        
        REQUIRED:
        
        https://github.com/bluemellophone/detecttools
        
        https://github.com/bluemellophone/IBEIS2014
        
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: tests
Provides-Extra: runtime
Provides-Extra: all
Provides-Extra: build
